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evon
08-05-2012, 09:19 AM
http://bga101.blogspot.no/

Please post all topics with regards to Eurogenes here, except personal results which is better suited to be posted in individual threads.

Currently the project is working on a brand new chromosome painting, and have currently only reached chromosome 11-12, since it takes awhile for each chromosome to be calculated.

MJost
08-06-2012, 02:36 AM
Chromosome paintings: SupportMix is looking like a very interesting resource.

MJost

evon
08-06-2012, 11:19 AM
chromosomes 13-16 are now out, i even found a small Sub-saharan segment on my chromosome :o

DMXX
08-06-2012, 02:09 PM
Is that result also found in other Chromosome analyses (McD BGA, 23andMe, various Chromosome Paintings), evon?

zaender
08-06-2012, 04:38 PM
I still don't know, how to get access to my results without installing that software.

Day Tripper
08-06-2012, 05:07 PM
I still don't know, how to get access to my results without installing that software.

Go here (http://bga101.blogspot.ca/2012/07/pinpointing-loci-specific-genomic.html) and click on the chromosome you want to look at. Check the EU9 files first, as that's where most of the Germans are at.

evon
08-06-2012, 07:23 PM
Is that result also found in other Chromosome analyses (McD BGA, 23andMe, various Chromosome Paintings), evon?

No, not that i am aware of.. i will post all my chromosomes in another thread later tonight, just have to do some other stuff first, will link it from this post for you so you can check it out then..

zaender
08-06-2012, 08:01 PM
Go here (http://bga101.blogspot.ca/2012/07/pinpointing-loci-specific-genomic.html) and click on the chromosome you want to look at. Check the EU9 files first, as that's where most of the Germans are at.

I am not sure, if I get the whole thing. I opened the four files in open office, but have no germans, but the SNP numbers plus other.
Maybe we could use the space here for some tutorials?

Day Tripper
08-06-2012, 11:18 PM
I am not sure, if I get the whole thing. I opened the four files in open office, but have no germans, but the SNP numbers plus other.
Maybe we could use the space here for some tutorials?

Polako gives a bit of a tutorial on his blog:


Update 2: Most people seem to be ignoring the text, tped and tfam files that come with the chromosome paintings, which is a shame, because they contain a wealth of information. Here's a brief guide to the SupportMix output for those who still don't know what to make of these files.

“outSupportMix.tfam” lists the individuals being tested. Each of the IDs in the rows of this file correspond to two columns in the “outSupportMix.Probs.tped”and “outSupportMix.tped” files (thus, top to bottom in the tfam file = left to right in the tped files, twice over). The reason it's two columns and not one, is because each individual has two sets of chromosomes, and these are marked as “a” and “b” on the chromosome paintings.

“outSupportMix.tped” shows the classifications. As per above, the test samples are listed in the rows of the “outSupportMix.tfam” file, and each of these rows correspond to two columns in the “outSupportMix.tped” file. Thus, if you're the sample in row 1 of the “outSupportMix.tfam” file, then columns five and six in the “outSupportMix.tped” show your results, for chromosomes “a” and “b” respectively. Keep in mind, the first four columns are taken up with SNP data, like the rs number and positions.

“outSupportMix.Probs.tped” shows the posterior probabilities for each of the SNP windows, and lines up with the “outSupportMix.tped” file. So, for instance, let's say your Irish segment, marked by the number 13 in the “outSupportMix.tped” file, is given a score of 0.75. That would be a pretty decent probability of the classification being a correct one. On the other hand, I'd say that something like 0.15 would be a fairly uncertain result.

“outSupportMix.population_legend.txt” is a list of ID numbers for the populations used. These ID numbers appear in the “outSupportMix.tped” file. As per above, in these runs, the Irish are shown as population 13. So if you have an Irish segment, you'll see the number 13 listed next to the relevant SNP window, and in the relevant columns, in the “outSupportMix.tped” file.

“outSupportMix.positions.txt” just lists the positions of the 200 SNP windows being analyzed.


Those of you having trouble opening the tfam and tped files with various applications, like Excel, you can easily change these to text files manually, simply by replacing the tfam/tped at the end of the file with txt.

If that was too confusing, here's a more succinct version from the SupportMix manual.

SupportMix produces five output files all named with the prefix "outSupportMix" (can be specified with the *-s parameter).

1. An output .tfam file that mimics the input .tfam.

2. A .tped file with the assigned ancestries for each window. At each window start there is a number 0..n*1 corresponding to the ancestral population with the most probable ancestry at that location.

3. A .Probs.tped file exactly matching the .tped file but with the posterior probability of each window.

4. .populations_legend.txt a file with the mapping between the numbers in the .tped file and the ancestral population.

5. .positions.txt contains information about the boundaries of each of the windows in the tped file.

...and the chromosome paintings are in the .png files.

By the way, you (DE1) are in EU14, actually.

evon
08-16-2012, 08:20 PM
IBD scores..

Biggest matches -19> if i got it right (lower the e score the higher the match):

1-5:

IS1 NO1 9080 9473 1.72E-19
NO1 SV1 33468 33777 1.73E-19
NO1 RU18 36982 37317 4.74E-19
NO1 NA12751 (CEU) 37516 37875 3.14E-19
GSM536643 (Lithuanian) NO1 79939 80195 5.14E-20
NO1 NO6 25908 26472 2.44E-20
NO1 HG00115 (UK) 86587 86786 6.40E-21
NO1 SE4 76503 76987 1.12E-21
NO1 HG00102 (UK) 52111 52424 2.25E-23
NO1 NO10 65168 65467 5.82E-24
NO1 NO10 66463 66735 2.24E-24
NO1 NA12812 (CEU) 86526 86845 9.03E-25

6-11:

UK42 NO1 41673 42108 3.22E-19
NO1 SENO2 77412 78004 1.22E-19
CA4 NO1 13617 13913 3.80E-19
NO1 NO2 36459 36743 4.30E-20
NO1 HG00107 (UK) 68764 69242 3.63E-20
NO1 HGDP00899 (Russian) 79085 79256 1.46E-21
NO1 HGDP00796 (Orcadian) 9915 10227 1.71E-21
NO1 WEUFI1 58093 58368 2.59E-23
UK39 NO1 80269 80853 4.26E-25
NO1 NO2 12802 13316 7.24E-31

12-22:

HGDP00539 (French) NO1 77711 77903 2.49E-19
NO1 RU6 45751 46019 6.00E-19
NO1 SE22 52691 53079 8.55E-25
NO1 HGDP00799 (Orcadian) 68718 69063 1.24E-25

I did not expect Russians to be among my top matches (where in Russia are they from?), the rest are less of a surprise though..

DMXX
08-25-2012, 01:16 AM
Davidski has sent an email out to his participants with fastIBD data for all autosomal chromosomes. This will be the last update from him for a while.



https://www.box.com/s/4afd350b50593b2001b3

https://www.box.com/s/e7acf5b1a4cc29b53016

https://www.box.com/s/d27af102406ea80ee6fc

The accuracy is very high at over 1cM, and the results pretty much reveal all that we're interested in, because they show links that are lost in most other analyses. That's why I don't think Z scores are useful, because they reduce the data in a way that takes us back to the usual stuff, like Plink MDS, which takes a fraction of the time to run.

The best way to use this data is to look for matches at over 1cM, and then plot these on a geographic map as averages, or on a chromosome painting as single hits.


I didn't see any clear instructions on how to calculate the cM length of the segments, nor do I have the software to do what was recommended. Here are my Top 10 segments per file based on the nE-n column:

IBD1-5


Kurd10 Kurdish 76651 76903 5.45E-19
RU35 Russian 54383 54725 8.93E-19
HGDP01249 Xibo 17676 17855 3.88E-17
NA18114 CHD 43774 43896 1.59E-16
HG00107 Orcadian 26784 26955 4.76E-16
GSM536779 Uzbek 17644 17825 9.24E-16
NorthOssetia4Y North Ossetian 27118 27287 2.84E-15
GSM536550 Yemeni 68963 69092 1.35E-14
HG00099 Orcadian 54388 54636 1.70E-14
HG00247 Cornish 26784 26944 3.19E-14


IBD6-11


AM106Y Armenian 30009 30264 2.90E-29
NA20911 Gujarati 80389 80708 7.26E-20
FR4 French 28123 28308 4.62E-19
NA19332 Luhya 56544 56670 9.13E-18
PULD160 Pulliyar 52181 52357 4.25E-17
GSM536840 Lezgin 27497 27758 4.06E-16
Kurd8 Kurdish 42444 42677 1.30E-15
NA19462 Luhya 56622 56735 3.16E-15
Kurd9 Kurdish 81367 81610 3.70E-15
NA19347 Luhya 56596 56735 4.47E-15


IBD12-22


GSM536795 Turkish 75770 76216 1.61E-20
Kurd4 Kurd 651 860 5.00E-20
HGDP01213 Daur 16553 16926 2.04E-19
HGDP00994 Bantu_S.E. 35478 35583 1.40E-18
GSM537017 Ethiopian_Oromo 5731 5865 4.26E-18
RU4 Russian 69050 69340 4.71E-18
HGDP01208 Oroqen 16454 16763 4.75E-18
NA19098 Yoruba 35535 35720 2.07E-17
GSM536795 Turkish 76697 76966 3.28E-17
GSM536795 Turkish 76482 76688 3.85E-17


To get a feel for how the cumulative results differ from ADMIXTURE-type runs, I removed New World populations, Jewish matches (of which I had approx. 20 out of 280) and non-informative matches (those with vague project IDs), organised the other sharers in arbitrary regions and produced a non-weighted chart:


http://i47.tinypic.com/2m5c609.png

Everything seems to make a reasonable amount of sense. The most glaring difference with the ADMIXTURE results lie in my African shared segments, which are mostly either Ethiopian (Tigray, Oromo), Luyha or Yoruba. I do not normally have African component values that go beyond what one considers noise (~1%). Additionally, every segment I've checked so far is >1cM in size, which was Davidski's recommendation. Possible explanations how this came about would be appreciated.

evon
08-28-2012, 09:14 AM
Hoping for a spreadsheet solution for this some time soon, the margin for error is just too great when doing it manually, plus it takes a very long time...

evon
08-29-2012, 06:23 PM
These ones have been calculated by adding 1 line (also, i have not included Chuvash, Ezyra or Russians hits):

Chr 1-5:

-Palestinian 2.52 cM/NO1 HGDP00736 3181 3298 3.23E-11
-Iran9 1.91 cM/iran9 NO1 3211 3352 3.63E-11

-West Greenland 1.74 cM/NO1 GSM558778 4308 4476 2.66E-11
-East Greenland 2.32 cM/GSM558773 NO1 4999 5199 1.44E-12

-Moroccan Jewish 0.48 cM/GSM536510 NO1 9667 9805 4.39E-11
-Gujarati 2.38 cM/NA21105 NO1 9666 9886 1.03E-11
-Turkish 2.1 cM/NO1 GSM536805 9712 9896 1.43E-11
-Gujarati 1.33 cM/NA20872 NO1 11656 11780 1.03E-12
-Kurd1159Y: 1.21 cM/Kurd1159Y NO1 11671 11777 2.53E-11
-Chechen131Y: 2.67 cM/Chechen131Y NO1 27966 28089 2.33E-13
-Balochi 0.57 cM/HGDP00092 NO1 29250 29353 6.76E-11
-Burusho 1.24 cM/HGDP00444 NO1 29484 29606 4.85E-11
-Moroccan_Jewish 1.92 cM/GSM536508 NO1 31487 31615 4.36E-11
-Makrani 1.89 cM/HGDP00134 NO1 31793 31933 9.18E-12
-Kol 1.84 cM/306 NO1 31795 31956 3.87E-13
-TR10: 1.96 cM/NO1 TR10 37809 37972 7.32E-13
-Bedouin 2.04 cM/HGDP00611 NO1 39463 39601 6.98E-13

-Brahui 3.33 cM/HGDP00037 NO1 39634 39787 1.34E-11
-Pathan 3 cM/NO1 HGDP00214 42095 42261 8.47E-12

-Adygei 1.55 cM/HGDP01386 NO1 46899 47124 1.04E-11

-West_Greenland 2.13 cM/NO1 GSM558764 55971 56101 1.72E-11
-West_Greenland 2.31 cM/NO1 GSM558777 66471 66641 1.16E-16

-Saudi 1.29 cM/NO1 GSM536566 67141 67279 5.35E-11
-Hazara 1.55 cM/HGDP00122 NO1 67338 67512 6.68E-11
-Kumyk13Y: 2.75 cM/Kumyk13Y NO1 70486 70713 9.88E-16
-Han Chinese: 1.43 cM/NA18602 NO1 76191 76362 8.06E-11
-Balochi 2.22 cM/HGDP00088 NO1 82349 82600 2.62E-13
-Balkar108Y: 0.48 cM/Balkar108Y NO1 82497 82622 6.56E-11
-Turkish 1.8 cM/NO1 GSM536798 82756 82938 7.34E-13
-Abhkasian45Y: 1.98 cM/Abhkasian45Y NO1 82758 82951 1.10E-11

-Yakut 1.42 cM/NO1 HGDP00963 83949 84108 3.60E-13
-Yakut 1.81 cM/NO1 HGDP00945 83935 84150 2.84E-15
-Yakut 1.9 cM/NO1 HGDP00961 83935 84179 5.84E-16
-Evenk 1.97 cM/GSM558737 NO1 83935 84191 9.94E-17
-Evenk 1.8 cM/GSM558742 NO1 83949 84192 3.23E-15
-Uzbek 1.72 cM/NO1 GSM536777 84476 84705 1.56E-16

Next batch 6-11chr:

-Moroccan 1.72 cM/GSM536960 NO1 8036 8227 9.59E-12
-Palestinian 2.07 cM/NO1 HGDP00733 8623 8895 1.30E-17
-Pathan 2.25 cM/NO1 HGDP00228 9356 9521 1.78E-11
-Muslim India 0.79 cM/MV009 NO1 13758 13869 3.18E-12
-Yoruba 2.77 cM/NO1 NA18507 16881 16956 8.39E-11
-Altaian 1.51 cM/GSM558726 NO1 20064 20271 4.45E-16
-Kumyk22Y 1.78 cM/NO1 23524 23624 2.83E-11
-Burusho 2.55 cM/HGDP00407 NO1 29300 29435 3.34E-11
-Yemeni Jewish 1.33 cM/NO1 GSM536526 31430 31559 9.14E-11

-Brahmins_UP 0.75 cM/BR052 NO1 33535 33655 7.46E-11
-Yemeni 0.71 cM/NO1 GSM536549 33568 33791 4.22E-13
-Gujarati 0.78 cM/NA20852 NO1 33568 33803 1.10E-12
-Burusho 1.29 cM/HGDP00372 NO1 33561 33907 4.72E-14

-Lezgin 1.66 cM/GSM536853 NO1 34467 34626 1.01E-12
-Chechen11Y 2.29 cM/NO1 38749 38898 3.82E-12
-iran16 2.27 cM/NO1 41123 41247 1.52E-11
-West_Greenland 1.65 cM/NO1 GSM558763 41580 41754 3.79E-12
-Meena 2.16 cM/A105 NO1 51819 51986 3.12E-13
-Lezgin 2.34 cM/GSM536845 NO1 52820 52977 4.53E-11

-Kalash 1.33 cM/HGDP00286 NO1 57012 57182 6.83E-11
-Gujarati 2.28 cM/NA20852 NO1 57112 57280 8.48E-11

-GeorgJewtat16 1.04 cM/NO1 64246 64367 8.57E-11
-Turkish 2.33 cM/NO1 TR2 69132 69337 2.62E-14

-Tharus 6.09 cM/NO1 D260 72524 72707 1.19E-11

-Chechen150Y 2.99 cM/NO1 77099 77390 1.08E-11

-Syrian 2.54 cM/NO1 GSM537000 79014 79258 1.33E-12
-GeorgJewtat14 2.24 cM/NO1 79087 79296 2.86E-11

-Yoruba 2.54 cM/NO1 NA19175 83677 83829 2.62E-13

Tharus = Tharu (http://en.wikipedia.org/wiki/Tharu_people)? If so i think this could be a Roma link, as i am seeing allot of South Asian hits so far from 1-11 chr, with the Tharus as the biggest yet..will do the rest of the chr tomorrow..

evon
08-30-2012, 04:11 PM
Anybody here handy with R (http://cran.r-project.org/bin/windows/base/)? if so we need help in working out how to handle IBD...

https://docs.google.com/file/d/0B9o3EYTdM8lQRlVFc2Y4a0c5djg/edit

evon
08-30-2012, 06:15 PM
Asian Hits according to matching chunks of segments:


Chr 1-5:


-Palestinian 2.52 cM/NO1 HGDP00736 3181 3298 3.23E-11

-Iran9 1.91 cM/iran9 NO1 3211 3352 3.63E-11

-West Greenland 1.74 cM/NO1 GSM558778 4308 4476 2.66E-11

-East Greenland 2.32 cM/GSM558773 NO1 4999 5199 1.44E-12

-Moroccan Jewish 0.48 cM/GSM536510 NO1 9667 9805 4.39E-11
-Gujarati 2.38 cM/NA21105 NO1 9666 9886 1.03E-11
-Turkish 2.1 cM/NO1 GSM536805 9712 9896 1.43E-11

-Gujarati 1.33 cM/NA20872 NO1 11656 11780 1.03E-12
-Kurd1159Y: 1.21 cM/Kurd1159Y NO1 11671 11777 2.53E-11

-Chechen131Y: 2.67 cM/Chechen131Y NO1 27966 28089 2.33E-13

-Balochi 0.57 cM/HGDP00092 NO1 29250 29353 6.76E-11

-Burusho 1.24 cM/HGDP00444 NO1 29484 29606 4.85E-11

-Moroccan_Jewish 1.92 cM/GSM536508 NO1 31487 31615 4.36E-11

-Makrani 1.89 cM/HGDP00134 NO1 31793 31933 9.18E-12
-Kol 1.84 cM/306 NO1 31795 31956 3.87E-13
-TR10: 1.96 cM/NO1 TR10 37809 37972 7.32E-13

-Bedouin 2.04 cM/HGDP00611 NO1 39463 39601 6.98E-13

-Brahui 3.33 cM/HGDP00037 NO1 39634 39787 1.34E-11

-Pathan 3 cM/NO1 HGDP00214 42095 42261 8.47E-12

-Adygei 1.55 cM/HGDP01386 NO1 46899 47124 1.04E-11

-West_Greenland 2.13 cM/NO1 GSM558764 55971 56101 1.72E-11

-West_Greenland 2.31 cM/NO1 GSM558777 66471 66641 1.16E-16

-Saudi 1.29 cM/NO1 GSM536566 67141 67279 5.35E-11

-Hazara 1.55 cM/HGDP00122 NO1 67338 67512 6.68E-11

-Kumyk13Y: 2.75 cM/Kumyk13Y NO1 70486 70713 9.88E-16

-Han Chinese: 1.43 cM/NA18602 NO1 76191 76362 8.06E-11

-Balochi 2.22 cM/HGDP00088 NO1 82349 82600 2.62E-13
-Balkar108Y: 0.48 cM/Balkar108Y NO1 82497 82622 6.56E-11

-Turkish 1.8 cM/NO1 GSM536798 82756 82938 7.34E-13
-Abhkasian45Y: 1.98 cM/Abhkasian45Y NO1 82758 82951 1.10E-11

-Yakut 1.42 cM/NO1 HGDP00963 83949 84108 3.60E-13
-Yakut 1.81 cM/NO1 HGDP00945 83935 84150 2.84E-15
-Yakut 1.9 cM/NO1 HGDP00961 83935 84179 5.84E-16
-Evenk 1.97 cM/GSM558737 NO1 83935 84191 9.94E-17
-Evenk 1.8 cM/GSM558742 NO1 83949 84192 3.23E-15

-Uzbek 1.72 cM/NO1 GSM536777 84476 84705 1.56E-16

Chr 6-11:


-Moroccan 1.72 cM/GSM536960 NO1 8036 8227 9.59E-12

-Palestinian 2.07 cM/NO1 HGDP00733 8623 8895 1.30E-17

-Pathan 2.25 cM/NO1 HGDP00228 9356 9521 1.78E-11

-Muslim India 0.79 cM/MV009 NO1 13758 13869 3.18E-12

-Yoruba 2.77 cM/NO1 NA18507 16881 16956 8.39E-11

-Altaian 1.51 cM/GSM558726 NO1 20064 20271 4.45E-16

-Kumyk22Y 1.78 cM/NO1 23524 23624 2.83E-11

-Burusho 2.55 cM/HGDP00407 NO1 29300 29435 3.34E-11

-Yemeni Jewish 1.33 cM/NO1 GSM536526 31430 31559 9.14E-11

-Brahmins_UP 0.75 cM/BR052 NO1 33535 33655 7.46E-11
-Yemeni 0.71 cM/NO1 GSM536549 33568 33791 4.22E-13
-Gujarati 0.78 cM/NA20852 NO1 33568 33803 1.10E-12
-Burusho 1.29 cM/HGDP00372 NO1 33561 33907 4.72E-14

-Lezgin 1.66 cM/GSM536853 NO1 34467 34626 1.01E-12

-Chechen11Y 2.29 cM/NO1 38749 38898 3.82E-12

-iran16 2.27 cM/NO1 41123 41247 1.52E-11

-West_Greenland 1.65 cM/NO1 GSM558763 41580 41754 3.79E-12

-Meena 2.16 cM/A105 NO1 51819 51986 3.12E-13

-Lezgin 2.34 cM/GSM536845 NO1 52820 52977 4.53E-11

-Kalash 1.33 cM/HGDP00286 NO1 57012 57182 6.83E-11
-Gujarati 2.28 cM/NA20852 NO1 57112 57280 8.48E-11

-GeorgJewtat16 1.04 cM/NO1 64246 64367 8.57E-11

-Turkish 2.33 cM/NO1 TR2 69132 69337 2.62E-14

-Tharus 6.09 cM/NO1 D260 72524 72707 1.19E-11

-Chechen150Y 2.99 cM/NO1 77099 77390 1.08E-11

-Syrian 2.54 cM/NO1 GSM537000 79014 79258 1.33E-12
-GeorgJewtat14 2.24 cM/NO1 79087 79296 2.86E-11

-Yoruba 2.54 cM/NO1 NA19175 83677 83829 2.62E-13


Chr 12-22:


-Brahui 2.28 cM/HGDP00037 NO1 3770 4197 4.65E-11

-Dolgan 1.42 cM/GSM558812 NO1 4483 4585 1.70E-13

-Maroccan Jewish 1.42 cM/GSM536510 NO1 5862 5989 5.26E-11

-Turkish 2.04 cM/NO1 GSM536797 8123 8287 7.16E-11

-Gujarati 1.63 cM/NA20849 NO1 12307 12395 2.01E-12

-IN_S=South Indian? 0.83 cM/SGVP00396 NO1 16943 17079 4.98E-11
-Balkar22Y 0.91 cM/NO1 16989 17131 9.25E-11

-Oroqen 0.98 cM/NO1 HGDP01207 17297 17448 4.71E-12

-Maroccan Jewish 2.96 cM/GSM536509 NO1 21567 21705 1.07E-13

-Muslim India 2.42 cM/MV012 NO1 24043 24277 5.09E-14
-Balochi 2.93 cM/HGDP00086 NO1 24030 24321 4.07E-14

-Balkar50Y 1.74 cM/NO1 29008 29115 3.79E-11

-West Greenland 0.65 cM/NO1 GSM558763 33836 33963 4.50E-11

-Adygei 3.05 cM/HGDP01382 NO1 34942 35075 3.43E-11

-East Greenland 1.9 cM/GSM558767 NO1 37531 37615 4.82E-11
-iran4 2.09 cM/NO1 37531 37631 1.03E-11

-Tuvan 1.47 cM/NO1 GSM558744 38367 38480 1.23E-13

-West Greenland 1.34 cM/NO1 GSM558764 40240 40311 7.88E-11

-Bedouin 1.46 cM/HGDP00649 NO1 45839 45968 9.49E-11
-Assyrian 1.72 cM/ASY5 NO1 45848 45985 2.62E-11
-Burusho 2.6 cM/HGDP00412 NO1 45778 45987 5.05E-14
-Bedouin 2.02 cM/HGDP00618 NO1 45848 46001 8.01E-11

-Assyrian 1.52 cM/ASY11 NO1 59289 59443 3.32E-12
-Kalash 1.78 cM/HGDP00307 NO1 59289 59461 2.47E-13
-Kalash 1.87 cM/HGDP00330 NO1 59289 59463 9.97E-14

-West Greenland 3.41 cM/NO1 GSM558764 63448 63615 7.47E-12

-Pathan 1.8 cM/NO1 HGDP00241 66183 66268 1.47E-11

-Iraqi Jewish 2.76 cM/GSM536708 NO1 66750 66884 1.93E-12

-Sindhi 4.05 cM/NO1 HGDP00199 70010 70284 1.17E-16

-Balochi 1.65 cM/HGDP00076 NO1 75253 75362 1.41E-11

-Assyrian 1.23 cM/ASY2 NO1 76139 76227 6.57E-12

-GeorgJew111 4.64 cM/NO1 78755 78892 2.75E-11

-Nogay14Y 2.68 cM/NO1 79632 79877 3.60E-11


Total Asian based hits according to cM:

PS: Yoruba hits land in Libya and Greenland hits are excluded.

-Dark red = 6<
-Light red = 4<
-Orange = 3<
-Yellow = 2<

http://img571.imageshack.us/img571/4052/asiahits.png


So far, i dont know what to make of it, is it a case of over-representation of south Asian samples versus the rest of Asia? assuming this is a pattern, it seems that gene-flow have moved to North Europe via the Caucasus and mid east from South Asia, i guess this corresponds with either Roma ancestry, or some other movement of peoples from this region that dates back to obscurity, since i dont know what other Norwegians have in the way of matches in South Asia i cant really elaborate much further then that so far...i wonder what time frame the above 4cM have?

Roma movement map with aprox dates:

http://www.vurdon.it/itinerario.jpg
http://en.wikipedia.org/wiki/Timeline_of_Romani_history


Aprox political map of the same era:

http://www.worldhistorymaps.info/images/East-Hem_1025ad.jpg
http://www.worldhistorymaps.info/images/East-Hem_1025ad.jpg

evon
09-05-2012, 05:52 PM
Made some maps with over 4cM hits, the bigger the circle, the larger the hit:


NO2:

http://img26.imageshack.us/img26/9084/no2fa.jpg

TR2:

http://img826.imageshack.us/img826/5438/tr2i.jpg

Me:

http://img35.imageshack.us/img35/2471/no1we.jpg

for those wanting to make similar maps, just use this map:

http://img836.imageshack.us/img836/3117/newnt.jpg

and open it in this program:

http://pixlr.com/

and choose advanced, then choose upload from URL and use the adr above to the image, then choose paint brush and use settings 50 size for 8< and 30 for 6<, 20 for 5< and 15 for 4<. the colour can be changed by pressing the black square underneath the tools.

DMXX
09-28-2012, 03:37 PM
Eurogenes has released some data focused on Ashkenazim admixture:

Eurogenes Ashkenazim ancestry test files (http://bga101.blogspot.co.uk/2012/09/eurogenes-ashkenazim-ancestry-test-files.html)

I noticed the Jtest and EUtest files are in F file format. How can one open them? Alternatively, I'd appreciate if someone can get the results for "IR2".

J Man
09-28-2012, 09:02 PM
^I do not have the proper program to run this new analysis but some individuals are nice enough to help out. :)

J Man
09-29-2012, 02:13 PM
Here are my results from the latest Eurogenes analysis. To me it is looking like my Ashkenazim score probably comes mostly from my Calabrian grandfather. This does not mean that I have Ashkenazi ancestry but that some fo my ancestors and some of their ancestors came form a similar gene pool way back.

EUtest

10.65% SOUTH_BALTIC
18.97% EAST_EUROPEAN
22.68% CENTRAL_EURO
18.49% ATLANTIC
10.40% WEST_MED
11.51% EAST_MED
5.00% WEST_ASIAN
0.12% MIDDLE_EASTERN
0.22% SOUTH_ASIAN
0.30% EAST_AFRICAN
0.00% EAST_ASIAN
1.67% SIBERIAN
0.00% SUB-SAHARAN

Jtest

10.61% SOUTH_BALTIC
18.56% EAST_EUROPEAN
22.29% CENTRAL_EURO
17.72% ATLANTIC
9.65% WEST_MED
5.48% ASHKENAZIM
9.48% EAST_MED
4.13% WEST_ASIAN
0.03% MIDDLE_EASTERN
0.24% SOUTH_ASIAN
0.25% EAST_AFRICAN
0.00% EAST_ASIAN
1.58% SIBERIAN
0.00% SUB-SAHARAN

DMXX
10-12-2012, 10:55 PM
There's now a Gedmatch tool for these runs.

Jtest


SOUTH_BALTIC 2.73%
EAST_EURO 6.68%
NORTH-CENTRAL_EURO 2.06%
ATLANTIC 2.47%
WEST_MED 1.35%
ASHKENAZI 4.39%
EAST_MED 31.92%
WEST_ASIAN 26.40%
MIDDLE_EASTERN 7.25%
SOUTH_ASIAN 11.43%
EAST_AFRICAN -
EAST_ASIAN 1.16%
SIBERIAN 2.08%
WEST_AFRICAN 0.08%


EUtest


SOUTH_BALTIC 2.80%
EAST_EURO 6.97%
NORTH-CENTRAL_EURO 2.37%
ATLANTIC 3.06%
WEST_MED 1.88%
EAST_MED 33.06%
WEST_ASIAN 27.03%
MIDDLE_EASTERN 8.03%
SOUTH_ASIAN 11.43%
EAST_AFRICAN -
EAST_ASIAN 1.24%
SIBERIAN 2.04%
WEST_AFRICAN 0.10%


The Ashkenazi cluster is completely uninformative for me. You will note it takes away small values from all West Eurasian components. Not surprising, as I have no known Ashkenazi heritage for the past 5 generations on both sides.

Oracle


# Primary Population (source) Secondary Population (source) Distance
1 97.5% IR + 2.5% South Indian @ 3.02
2 94.4% IR + 5.6% RO @ 3.03
3 96.8% IR + 3.2% Bangladeshi @ 3.04
4 94.8% IR + 5.2% AJ @ 3.1
5 95.6% IR + 4.4% HU @ 3.1
6 95.4% IR + 4.6% North Italian @ 3.12
7 96.4% IR + 3.6% UA @ 3.14
8 95.1% IR + 4.9% Serbian @ 3.14
9 96.7% IR + 3.3% Northwest Russian @ 3.15
10 95.9% IR + 4.1% AT @ 3.15
11 96.3% IR + 3.7% ES @ 3.15
12 96.1% IR + 3.9% PT @ 3.16
13 96.7% IR + 3.3% Belorussian @ 3.16
14 96.5% IR + 3.5% PL @ 3.16
15 96.9% IR + 3.1% LIT @ 3.16
16 96.5% IR + 3.5% West Russian @ 3.17
17 96.5% IR + 3.5% Ukrainian-Russian @ 3.17
18 93.1% IR + 6.9% GR @ 3.17
19 96.7% IR + 3.3% North Russian @ 3.17
20 93.8% IR + 6.2% South Italian & Sicilian @ 3.2


As with all other Mixed Mode pairings that include a good representation of Iranians, I have a slight pull to the north, but in this case, I seem to move towards the Indian Subcontinent as well.

Silesian
10-13-2012, 06:34 AM
JTest14-ASHKENAZI 3.67% compared to 23&me 0.0%-0.4% [email protected] Ashkenazi &Colonial checked.
Single population sharing compared to Dr McDonald's[#1-Polish], and
23&me top 5- 4gp ancestry, Germany 0.8% Russia 0.7% Poland 0.6%
United Kingdom 0.4% Sweden 0.3%
1. PL 2.75
2. UA 4.09
3. West Russian 5.84
4. Ukrainian-Russian 6.67
5. Belorussian 7.16
Mixed Mode Population Sharing: Distance:
1-92.7%PL+7.3% [email protected]
2-96%PL+4% [email protected]
3-92.6%PL+ 7.4% PT @1.54
4-92.5% PL+7.5% North [email protected]
5-94.4% PL+5.6% French [email protected]

Scarlet Ibis
10-16-2012, 02:00 AM
I ran the Jtest in Gedmatch for myself, and my parents.

Mine:

http://oi47.tinypic.com/nnnyv9.jpg

http://oi46.tinypic.com/2m5108g.jpg

http://oi50.tinypic.com/24f9rg8.jpg




Mom's:

http://oi50.tinypic.com/an2bed.jpg

http://oi50.tinypic.com/xldkw5.jpg

http://oi45.tinypic.com/709f12.jpg



Dad's:

http://oi48.tinypic.com/14xz79x.jpg

http://oi45.tinypic.com/2llde87.jpg

http://oi48.tinypic.com/vdpyx5.jpg

Silesian
10-16-2012, 06:17 AM
He did a good job on the E.U. test. However in my opinion the Jtest came up a little short; more of a hit and miss affair.

Calamus
10-16-2012, 04:56 PM
I ran the Jtest in Gedmatch for myself, and my parents.

Dad's:

http://oi48.tinypic.com/14xz79x.jpg

http://oi45.tinypic.com/2llde87.jpg

http://oi48.tinypic.com/vdpyx5.jpg

Very strong Northwestern Europe result for your dad.
Where is your dad's ancestry from?

DMXX
10-16-2012, 05:23 PM
Inspired by Scarlet Ibis' post, my single pop sharing:



# Population (source) Distance
1 IR 3.59
2 Kurdish 5.65
3 TR 10.61
4 Assyrian 13.82
5 Mandean 13.96
6 Armenian 14.57
7 IQ 17.86
8 Lezgin 21.87
9 GR 23.07
10 GE 23.27
11 Brahui 24.82
12 South Italian & Sicilian 24.87
13 Druze 25.18
14 RO 32.63
15 AJ 33.17
16 Tuscan 33.55
17 Serbian 34.04
18 Kalash 36.65
19 North Italian 36.78
20 Burusho 37.9


As expected, best match around the Iranian plateau, then West Asia/the Caucasus and finally the peripheries of South Asia and South Europe. Seems consistent with a largely West Asian derived ancestry.

DMXX
10-16-2012, 05:23 PM
Inspired by Scarlet Ibis' post, my single pop sharing:



# Population (source) Distance
1 IR 3.59
2 Kurdish 5.65
3 TR 10.61
4 Assyrian 13.82
5 Mandean 13.96
6 Armenian 14.57
7 IQ 17.86
8 Lezgin 21.87
9 GR 23.07
10 GE 23.27
11 Brahui 24.82
12 South Italian & Sicilian 24.87
13 Druze 25.18
14 RO 32.63
15 AJ 33.17
16 Tuscan 33.55
17 Serbian 34.04
18 Kalash 36.65
19 North Italian 36.78
20 Burusho 37.9


As expected, best match around the Iranian plateau, then West Asia/the Caucasus and finally the peripheries of South Asia and South Europe. Seems consistent with a largely West Asian derived ancestry.

thetick
10-17-2012, 12:56 AM
I'm still in limbo about AJ ancestry as ancient or in the 1/64th range?
23&me -- Aug 14 adjusted
0.3%–0.6% [email protected] Ashkenazi &Colonial checked
0.9%–2.1% [email protected] Ashkenazi &Colonial checked

With Jtest showing each Chromosome
15.3% ASHKENAZI with on Chromosome 16 and three other chromosomes in 5%-6% range

Jtest across all Chromosomes:
SOUTH_BALTIC 23.26%
EAST_EURO 16.09%
NORTH-CENTRAL_EURO 21.37%
ATLANTIC 20.98%
WEST_MED 8.61%
ASHKENAZI 2.06%
EAST_MED 5.01%
WEST_ASIAN 2.07%
MIDDLE_EASTERN -
SOUTH_ASIAN 0.37%
EAST_AFRICAN -
EAST_ASIAN -
SIBERIAN -
WEST_AFRICAN 0.17%

Scarlet Ibis
10-17-2012, 05:59 AM
Very strong Northwestern Europe result for your dad.
Where is your dad's ancestry from?

Well, most of the ancestry I've been able to trace is from the UK. However, more than 1/4th of the family tree is still a mystery. His grandfather had such a strange surname, that I can't find sufficient paper trails about him. It was likely Anglicized from something else, or misspelled/butchered too badly.

Considering how his DNA results consistently look, though, I don't think his grandfather's ancestry contained anything too exotic.

Silesian
10-18-2012, 05:49 AM
Eurogenes,Jtest14 compared to Dodecad k-12,MDLP K-12 MDLP 22 world,top 5 in each, test mix mode 2 populations,and 23andme top 5[1gp-5cM]

Jtest14
# Primary Population (source) Secondary Population (source) Distance
1 92.7% PL + 7.3% ES @ 1.47
2 96% PL + 4% Sardinian @ 1.49
3 92.6% PL + 7.4% PT @ 1.54
4 92.5% PL + 7.5% North Italian @ 1.54
5 94.4% PL + 5.6% French Basque @ 1.6

Dodecad K-12
# Primary Population (source) Secondary Population (source) Distance
1 52.8% Mixed_Germanic (Dodecad) + 47.2% Russian_B (Behar) @ 1.37
2 67.3% German (Dodecad) + 32.7% Russian_B (Behar) @ 1.49
3 65.7% German (Dodecad) + 34.3% Russian (Dodecad) @ 1.74
4 53.4% Mixed_Slav (Dodecad) + 46.6% Mixed_Germanic (Dodecad) @ 1.74
5 57.2% Ukranians (Yunusbayev) + 42.8% CEU30 (1000Genomes) @ 1.91

MDLP K=12
# Primary Population (source) Secondary Population (source) Distance
1 82.2% SLK (Slovak) + 17.8% LTH (Lithuanian) @ 3.8
2 79.4% SLK (Slovak) + 20.6% BLR (Belarusian) @ 4.02
3 70.1% SLK (Slovak) + 29.9% EUKR (East-Ukrainian) @ 4.11
4 72.2% SLK (Slovak) + 27.8% POL (Polish) @ 4.22
5 76.5% SLK (Slovak) + 23.5% SRUS (South-Russian) @ 4.45

MDLP World-22
# Primary Population (source) Secondary Population (source) Distance
1 96.2% Polish_V (derived) + 3.8% Abhkasian (derived) @ 2.17
2 96.3% Polish_V (derived) + 3.7% Georgian_Imereti (derived) @ 2.19
3 96.1% Polish_V (derived) + 3.9% Georgian_Laz (derived) @ 2.24
4 55.2% North-East-European (ancestral) + 44.8% Kosovar (derived) @ 2.25
5 95.2% Polish_V (derived) + 4.8% Adygei (derived) @ 2.25

23&me-top 5 [1gp_5cM]
Germany 0.8%-3.1%
Russia 0.7%–2.7%
Poland 0.6%–3.5%
United Kingdom 0.4%-1.3%
Sweden 0.3%–1.3%

Scarlet Ibis
11-11-2012, 05:35 AM
Polako has an improved file of population samples to plug into UCLA's SPatial Ancestry Analysis. I had trouble with extracting a file, but I got it to work with WinRar, thanks to the suggestion of AlexDeLarge.

My Dad's Map:

http://oi50.tinypic.com/21me0k2.jpg

My Mom's Map:

http://oi47.tinypic.com/29yh1ch.jpg






Although my dad is of predominantly UK ancestry, with these latest Eurogenes runs, including the JTest, EUTest, etc., it seems like his ancestry from elsewhere is starting to surface a bit more, and pull him off of the island.

Also, as for my mom's spot on the map, it has her stuck on the Mongolia/Russia border, but it's still more accurate than the regular UCLA World run, which had her in the middle of the North Pacific Ocean (see below):

http://oi48.tinypic.com/5aomtf.jpg

Scarlet Ibis
11-11-2012, 09:06 PM
EUTest results for my parents. :) The results are pretty similar to the Jtest results, which I included below.



EUTest Results:

My Mom's:

http://oi49.tinypic.com/4tlh88.jpg

http://oi50.tinypic.com/o5yka1.jpg

http://oi46.tinypic.com/29o5onl.jpg



My Dad's:

http://oi48.tinypic.com/2ymypz4.jpg

http://oi50.tinypic.com/303cw89.jpg

http://oi50.tinypic.com/2woc2vb.jpg






JTest Results:


Mom's:

http://oi50.tinypic.com/an2bed.jpg

http://oi50.tinypic.com/xldkw5.jpg

http://oi45.tinypic.com/709f12.jpg



Dad's:

http://oi48.tinypic.com/14xz79x.jpg

http://oi45.tinypic.com/2llde87.jpg

http://oi48.tinypic.com/vdpyx5.jpg

warwick
11-15-2012, 04:50 PM
270

Above is a screenshot of my 3d PCA from Jtest (1,2,3) components

Silesian
11-17-2012, 07:28 AM
testing post

J Man
11-18-2012, 07:13 PM
270

Above is a screenshot of my 3d PCA from Jtest (1,2,3) components

Which version of the PCA Jtest gives the most accurate results do you think? I see 3d PCA and 2d PCA listed and then inside those a whole bunch of other options.

DMXX
11-18-2012, 11:18 PM
It'll take plenty of fiddling to determine which PCA combinations reveal any informative trends. This is what happened when Interpretome was released over a year ago.

warwick
11-21-2012, 09:12 PM
Which version of the PCA Jtest gives the most accurate results do you think? I see 3d PCA and 2d PCA listed and then inside those a whole bunch of other options.

These PCA results are roughly comparable to the PCAs produced by Eurogenes in late 2010. The difference of course is that you can choose which components to display.

Hanna
02-13-2013, 06:01 PM
Jtest

Admix Results (sorted):

# Population Percent
1 WEST_ASIAN 33.26
2 EAST_MED 31.11
3 WEST_MED 8.27
4 MIDDLE_EASTERN 5.52
5 ASHKENAZI 4.06
6 SIBERIAN 3.67
7 NORTH-CENTRAL_EURO 3.46
8 SOUTH_BALTIC 3.00
9 ATLANTIC 2.51
10 EAST_EURO 2.19
11 SOUTH_ASIAN 1.82
12 EAST_ASIAN 1.12

Least-squares method.

Using 1 population approximation:

1 TR @ 6.297
2 Armenian @ 7.878
3 Kurdish @ 11.681
4 IR @ 13.352
5 Assyrian @ 13.603
6 GE @ 17.831
7 Mandean @ 17.874
8 Lezgin @ 23.456
9 GR @ 23.695
10 IQ @ 24.993


Using 4 populations approximation:

1 Armenian + GE + TR + TR @ 1.946
2 GE + TR + TR + TR @ 2.853
3 Assyrian + GE + TR + TR @ 3.223
4 Assyrian + GE + GE + GR @ 4.198
5 Armenian + Armenian + GE + TR @ 4.353
6 Armenian + GE + GR + Kurdish @ 4.398
7 Armenian + GE + GR + TR @ 4.421
8 Armenian + GE + GR + IR @ 4.430
9 GE + GE + GR + Mandean @ 4.472
10 GE + Kurdish + TR + TR @ 4.489
11 GE + Mandean + TR + TR @ 4.494
12 Armenian + Armenian + Lezgin + TR @ 4.512
13 Armenian + Assyrian + GE + TR @ 4.594
14 GE + GE + GR + TR @ 4.745
15 Assyrian + GE + GE + South_Italian_&_Sicilian @ 4.768
16 Armenian + Armenian + GE + GR @ 4.800
17 GE + GE + Mandean + South_Italian_&_Sicilian @ 4.903
18 Armenian + Armenian + Armenian + Lezgin @ 4.904
19 Armenian + GE + Kurdish + TR @ 4.913
20 GE + GR + Kurdish + TR @ 4.938

----------------------------------------------------

EU Test,
Best Population Fit (Pct. Option 1):

1 GE 43.43%
2 TR 24.23%
3 Druze 13.38%
4 Armenian 6.71%
5 GR 5.85%
6 Sardinian 2.71%
7 Nganassan 2.64%
8 Japanese 0.57%
9 RO 0.48%
10 HU 0.00%

Total RMSD: 0.344052

option 2:

Best Population Fit (Pct. Option 2):

1 TR 60.00%
2 GE 14.91%
3 Armenian 12.09%
4 Lezgin 5.68%
5 Assyrian 3.98%
6 GR 2.24%
7 Nganassan 1.10%
8 South_Italian_&_Sicilian 0.00%
9 Tuscan 0.00%
10 Kurdish 0.00%

Total RMSD: 0.871970

----------------------------------------

JTest

Best Population Fit (Pct. Option 1):

1 GE 43.36%
2 TR 26.14%
3 Druze 15.61%
4 Armenian 6.74%
5 Sardinian 3.72%
6 Nganassan 2.71%
7 RO 1.27%
8 UA 0.35%
9 GR 0.10%
10 HU 0.00%

Total RMSD: 0.423868

Best Population Fit (Pct. Option 2):

1 TR 42.17%
2 GE 23.38%
3 Armenian 8.85%
4 Druze 7.48%
5 Sardinian 6.27%
6 Kurdish 3.70%
7 Nganassan 2.93%
8 Lezgin 2.92%
9 IR 1.19%
10 Assyrian 1.10%

Total RMSD: 1.181065


PCA 3D

http://img266.imageshack.us/img266/6536/18115674.png

DMXX
03-07-2013, 05:03 PM
Tried to capture mine as close to Hanna's view as possible for comparison.


http://img600.imageshack.us/img600/8062/yoyoaf.jpg

ZephyrousMandaru
03-08-2013, 12:33 AM
I'm between the Assyrian, Armenian and Iraqi clusters and the Druze one.

http://img841.imageshack.us/img841/3053/jtestpca123.png

J Man
03-11-2013, 04:09 AM
Polako has a new K36 calculator out. It should be up on GEDmatch fairly soon but you can also download the calculator files from his project website if you wish as well. Here are my results.

0.01% Amerindian
0.02% Arabian
4.47% Armenian
0.01% Basque
0.00% Central_African
3.54% Central_European
0.00% East_African
0.00% East_Asian
3.44% East_Balkan
0.00% East_Central_Asian
1.37% East_Central_Europea
1.69% East_Mediterranean
8.95% Eastern_European
26.83% Finnish
4.53% French
11.76% Iberian
0.00% Indo-Chinese
9.56% Italian
0.00% Malayan
0.83% Mediterranean
1.10% Near_Eastern
0.00% North_African
4.89% North_Atlantic
2.41% North_Caucasian
11.17% North_Sea
0.00% Northeast_African
0.65% Oceanian
0.00% Pygmy
0.00% Siberian
0.00% South_Asian
1.62% South_Central_Asian
0.00% South_Chinese
0.04% Volga-Ural
0.00% West_African
0.17% West_Caucasian
0.92% West_Mediterranean

DMXX
03-11-2013, 01:06 PM
Very impressive to see Davidski's latest run accurately captured your quarter Finnish heritage. I am wondering whether that is a testament to the run's effectiveness or the genetic homogenity of the Finnish people relative to other Eurasian populations. Perhaps a bit of both?

soulblighter
03-15-2013, 01:04 AM
Here is mine:
57.03% South_Asian
29.09% South_Central_Asian
2.99% North_Caucasian
2.03% Volga-Ural

1.65% Malayan
1.50% Armenian
1.27% North_Sea
1.11% North_Atlantic

0.86% West_African
0.69% Oceanian
0.58% Iberian
0.46% Central_Euro
0.25% Fennoscandian
0.15% West_Caucasian
0.13% Central_African
0.09% North_African
0.05% Arabian
0.04% East_Med
0.03% Eastern_Euro
0.01% Near_Eastern


The 10% that used to show up Finnish in the old ones, has split into north caucus, armenian, Volga-ural, North Sea and North Atlantic.

DMXX
03-15-2013, 11:51 AM
I attempted to download the files from Davidski's cloudspace but it says they're no longer available. Any indication of when K36 will reach Gedmatch?

Hanna
03-15-2013, 12:36 PM
My K36 from highest to low:

22.74% North_Caucasian
19.20% East_Mediterranean
13.01% Near_Eastern
12.17% Armenian
10.08% West_Caucasian
4.01% Italian
3.67% South_Central_Asian
2.73% Mediterranean
2.64% Central_European
2.03% East_Central_Asian
1.84% Arabian
1.33% Basque
1.23% East_Balkan
1.15% West_Mediterranean
1.06% Siberian
0.79% French
0.24% North_Atlantic
0.05% Volga-Ural
0.02% East_Asian

The rest 0% admıxture.


My maternal K36:


21.05% East_Mediterranean
18.69% North_Caucasian
14.84% West_Caucasian
13.81% Armenian
12.14% Near_Eastern
7.08% Italian
5.32% South_Central_Asian
3.06% Arabian
2.29% Mediterranean
1.62% Basque
0.08% East_Balkan
0.02% Iberian
0.01% West_Mediterranean

The rest 0% admıxture


Can someone please explaın whıch populations each admıxture represents for thıs run??

soulblighter
03-16-2013, 01:44 AM
My K36 from highest to low:

22.74% North_Caucasian
...
The rest 0% admıxture


Can someone please explaın whıch populations each admıxture represents for thıs run??

Take a look at the K36_refs files. They list the populations used.

For e.g.:
North_Caucasian is Adygei, Kumyk, Lezgin, Chechen and North Ossetian
East_Mediterranean is Cypriot, Druze and Lebanese

AJL
03-25-2013, 03:59 PM
I attempted to download the files from Davidski's cloudspace but it says they're no longer available. Any indication of when K36 will reach Gedmatch?

It's there now. Mine reads:

Population
Arabian 0.83%
Armenian 0.23%
Basque 3.09%
Central_Euro 6.20%
East_Balkan 4.99%
East_Central_Euro 4.98%
East_Med 12.76%
Eastern_Euro 3.51%
French 6.28%
Iberian 5.60%
Italian 13.24%
Near_Eastern 6.10%
North_African 1.91%
North_Atlantic 11.44%
North_Caucasian 1.60%
North_Sea 11.55%
Siberian 1.08%
West_Caucasian 0.56%
West_Med 4.05%

The Italian seems strangely high. There might be such a thing as too many k. Also, Dodecad appears better at distinguishing Mediterranean populations overall, at least so far.

Silesian
03-25-2013, 06:04 PM
East_Central_Euro-22.93%
Eastern_Euro-17.15%
North_Sea-11.06%
North_Atlantic-9.18%
Fennoscandian-8.36%
Central_Euro-7.12%
Italian-6.17%
Iberian-4.94%
French-4.80%
North_Caucasian-2.75%
East_Balkan-2.53%
Volga-Ura-2.10%
West_Med-0.90%

DMXX
03-25-2013, 06:07 PM
Now available on Gedmatch. My results in decreasing order;

South_Central_Asian 23.13%
North_Caucasian 17.25%
Near_Eastern 16.07%
East_Med 13.46%
Armenian 10.59%
Italian 5.60%
Arabian 4.96%
West_Caucasian 1.94%
East_Central_Euro 1.71%
East_Balkan 1.47%
Central_Euro 1.42%
East_Central_Asian 0.88%
Siberian 0.70%
South_Asian 0.61%
East_Asian 0.19%

Not completely sure it agrees with my previous results (i.e. East Asian-derived components tend to approach ~4%). The Italian and probably the Arabian here are proxies for generic West Asian/Mediterranean that didn't fit the other components.

AJL
03-25-2013, 07:21 PM
We seem to have an ongoing theme of excessive Italian, but I am not sure whether this is down to Gedmatch or Eurogenes.

DMXX
03-25-2013, 07:28 PM
Yes, I do find the Italian score fairly unusual as I've never registered any genetic connection with there.

I also found it unusual that I scored absolutely no Volga-Ural here despite having quite a few IBD segments from that part of Eurasia in an earlier Eurogenes run.

NK19191
03-25-2013, 07:58 PM
My K36 from highest to low:


Population

South_Central_Asian 21.07%
North_Caucasian 19.66%
Near_Eastern 15.56%
East_Med 13.59%
West_Caucasian 9.58%
Armenian 8.49%
South_Asian 2.72%
Italian 2.60%
Arabian 2.11%
Iberian 1.29%
East_Central_Euro 1.13%
Central_Euro 0.73%
South_Chinese 0.71%
French 0.47%
Basque 0.29%

warwick
03-26-2013, 05:21 AM
It's there now. Mine reads:

Population
Arabian 0.83%
Armenian 0.23%
Basque 3.09%
Central_Euro 6.20%
East_Balkan 4.99%
East_Central_Euro 4.98%
East_Med 12.76%
Eastern_Euro 3.51%
French 6.28%
Iberian 5.60%
Italian 13.24%
Near_Eastern 6.10%
North_African 1.91%
North_Atlantic 11.44%
North_Caucasian 1.60%
North_Sea 11.55%
Siberian 1.08%
West_Caucasian 0.56%
West_Med 4.05%

The Italian seems strangely high. There might be such a thing as too many k. Also, Dodecad appears better at distinguishing Mediterranean populations overall, at least so far.

mine

Population
Amerindian 0.18%
Arabian 0.32%
Armenian 4.54%
Basque 1.12%
Central_African -
Central_Euro 9.35%
East_African -
East_Asian -
East_Balkan 2.70%
East_Central_Asian -
East_Central_Euro 3.78%
East_Med 5.33%
Eastern_Euro 2.38%
Fennoscandian 5.07%
French 6.79%
Iberian 15.60%
Indo-Chinese -
Italian 13.44%
Malayan -
Near_Eastern 5.32%
North_African -
North_Atlantic 12.10%
North_Caucasian 0.75%
North_Sea 6.66%
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian 0.95%
South_Chinese -
Volga-Ural 0.68%
West_African -
West_Caucasian -
West_Med 2.96%

StarDS9
03-27-2013, 01:43 AM
These are my results from GedMatch. Note I am 1/8 Circassian so the high North Caucasian is not surprising. The surprsing thing most is the relatively high East_Balkan score, seems like I am the only Kurd who got these numbers. The other surprise is the high South Central Asian as the Antolian Kurd average seems to be around 17-18% and Iraq Kurds seem to be 24%. Where as mine is 22%, would be slightly higher if not for my 1/8 Circassian ancestry.

I also find it odd that I did not get a east asian score as I get 1.5%-2.5% Siberian on other results.

0.30% Amerindian
1.08% Arabian
9.53% Armenian
4.32% East_Balkan
0.18% Central_Euro
0.77% East_Central_Euro
10.49% East_Med
1.49% Iberian
6.22% Italian
14.15% Near_Eastern
19.25% North_Caucasian
0.51% South_Asian
22.29% South_Central_Asian
9.40% West_Caucasian

geebee
03-27-2013, 08:35 AM
Well, as always it's interesting, I'll say that. It's a little surprising to me that Iberian comes in highest for me, since on paper it should actually be third of my main ancestries. It should also only be about 12.5%. On the other hand, it also might be my least mixed component -- in the sense that both of my maternal grandmother's grandfathers were from the Spanish island of Menorca.

The larger components -- German and Scottish/Scots-Irish -- have been crossed and recrossed for many generations. For example, my 3rd great grandfather Bookhammer (Buchhammer) married a Gregg (Greig, a sept of Macgregor). So it would likely be the Spanish component that has the largest unbroken segments -- if that means anything.

Of course, there's no "German" component here, so whatever "German" actually means must be found in some of the other components. Same with the Scottish component -- which I suppose might be found partly in the Fennoscandian and North Atlantic components? On paper the Scottish/Scots-Irish component is perhaps around 25%.

I do have a French component, though I wouldn't have expected it to be as high as 5.08%. On the other hand, some of what I might label as German is actually Alsatian, which would surely stand a good chance of showing up as French? Another factor in the French component being a bit larger could be the fact that this component includes a fair amount of -- well, "consanguinity" is the best way to put it.

(An example of this: One would not normally expect to be related to one's great grandmother's first husband when one is a descendant of the second. However, I've learned that my great grandmother's ex was also her distant cousin. Therefore my "half" grandaunts, half-sisters of my grandmother, are also cousins on their father's side.)

Some of the "Italian" might reflect my Swiss ancestry, but again it's more than the total of that Swiss ancestry -- so I can't imagine what else it might also reflect. I perhaps have some Austrian ancestry from the Tirol region, which is certainly close to the border with Italy.

"North Sea" and "Central Euro" both seem likely to relate to Germany, but for many other components it's difficult to tell.

The Amerindian component is one of my more consistent components, although it ranges in amount from a little over 1% to almost 3%. It's likely real, or at least I do have documentation back to a Native American ancestor (through those previously-mentioned consanguineous French folk, so I have more than one line running back to the same ancestor). I think the "Indo-Chinese" might even belong here, despite the label.

The Arabian is kind of a new one. Menorca was ruled by the Moors for a time -- so who knows? Doug McDonald came up with about 22% "Jewish", but there's certainly nothing in this analysis -- or most other analyses to support that, so I don't know where it came from. (Actually, he had me as about 69% Irish, 22.7% Jewish, 6.9% Spanish, and 1% Na-Dene. I think possibly he was just trying to squish my ancestry into too few categories.)

Population

Iberian 17.05%
North_Sea 14.98%
Fennoscandian 11.66%
North_Atlantic 11.57%
Italian 9.25%
Central_Euro 7.79%
East_Balkan 5.25%
French 5.08%
Eastern_Euro 4.56%
West_Caucasian 4.03%
Basque 2.02%
North_Caucasian 1.94%
South_Central_Asian 1.21%
Amerindian 1.15%
Arabian 0.91%
Volga-Ural 0.65%
Indo-Chinese 0.38%
West_Med 0.33%
East_Central_Euro 0.15%
Armenian -
Central_African -
East_African -
East_Asian -
East_Central_Asian -
East_Med -
Malayan -
Near_Eastern -
North_African -
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Chinese -
West_African -

AJL
03-27-2013, 05:35 PM
mine

{SNIP}
Italian 13.44%




Italian 13.24%


Yes, there's no way I am as Italian as you. Ancestry Composition seems more reliable here; I get 0.0% Italian, or 1.2% on Speculative, while my mother gets 0.3%, or 2.0% on Speculative. Some of this is probably southern French, but she has one Italian RF match with a common surname...from about 650 years ago. Viva gli Torretta! ;)

Clinton P
03-27-2013, 09:32 PM
Here are my results....

Ancestry Composition
99.8% British & Irish
0.1% Finnish
0.1% Nonspecific Northern European

Eurogenes K36
Population
20.38% North_Sea
14.47% North_Atlantic
12.66% Iberian
11.43% Italian
10.78% Fennoscandian
6.95% French
6.36% Central_Euro
5.55% East_Central_Euro
4.55% Basque
2.89% Eastern_Euro
1.22% West_Caucasian
0.96% West_Med
0.71% North_Caucasian
0.50% Volga-Ural
0.47% Armenian
0.12% East_Balkan
- Amerindian
- Arabian
- Central_African
- East_African
- East_Asian
- East_Central_Asian
- East_Med
- Indo-Chinese
- Malayan
- Near_Eastern
- North_African
- Northeast_African
- Oceanian
- Omotic
- Pygmy
- Siberian
- South_Asian
- South_Central_Asian
- South_Chinese
- West_African

Clinton P

basque
03-27-2013, 10:59 PM
My results:
Euro K36

Population
Amerindian 0.07%
Arabian -
Armenian -
Basque 3.14%
Central_African -
Central_Euro 7.27%
East_African -
East_Asian -
East_Balkan 0.90%
East_Central_Asian -
East_Central_Euro 6.71%
East_Med -
Eastern_Euro 3.85%
Fennoscandian 6.52%
French 8.47%
Iberian 12.25%
Indo-Chinese -
Italian 4.67%
Malayan -
Near_Eastern -
North_African -
North_Atlantic 18.51%
North_Caucasian 3.81%
North_Sea 19.73%
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian 0.91%
South_Chinese -
Volga-Ural -
West_African -
West_Caucasian -
West_Med 3.20%

Basque :rolleyes:

basque
03-27-2013, 11:14 PM
My dad
Eurogenes K36 ftdna kit.

Population:
Amerindian -
Arabian -
Armenian -
Basque 3.74%
Central_African -
Central_Euro 8.41%
East_African -
East_Asian -
East_Balkan 4.12%
East_Central_Asian -
East_Central_Euro 2.02%
East_Med -
Eastern_Euro 4.04%
Fennoscandian 8.71%
French 6.73%
Iberian 8.37%
Indo-Chinese -
Italian 5.78%
Malayan -
Near_Eastern -
North_African -
North_Atlantic 18.95%
North_Caucasian 3.53%
North_Sea 20.54%
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian 1.45%
South_Chinese -
Volga-Ural -
West_African -
West_Caucasian -
West_Med 3.59%

Basque :rolleyes:

thetick
03-30-2013, 04:42 PM
Yes, there's no way I am as Italian as you. Ancestry Composition seems more reliable here; I get 0.0% Italian, or 1.2% on Speculative, while my mother gets 0.3%, or 2.0% on Speculative. Some of this is probably southern French, but she has one Italian RF match with a common surname...from about 650 years ago. Viva gli Torretta! ;)

Also keep in mind Jewish ancestry will show up as Italian with K36. It most definitely did for me. I confirmed it with corresponding >30% "K36 Italian" chromosomes had large segments that are Jewish matches at 23andme's AC,RF,AF. The chromosome percentages and chromosomal painting confirmed without any doubt.

Below are my chromosomal K36 results
http://i49.tinypic.com/15kizq.png

AJL
03-30-2013, 05:13 PM
Also keep in mind Jewish ancestry will show up as Italian with K36. It most definitely did for me. I confirmed it with corresponding >30% "K36 Italian" chromosomes had large segments that are Jewish matches at 23andme's AC,RF,AF. The chromosome percentages and chromosomal painting confirmed without any doubt.


Thanks -- so perhaps we should view Italian in K36 in a similar vein to Population Finder's nebulous "Middle Eastern." As usual, the open question is whether this originates with local genetic input into the original settlements of Ashkenazim along the Rhine and in Alsace (mirroring the apparently Alpine K-subclades in Ashkenazi mtDNA) or if it's an older eastern Mediterranean signal (mirroring the typically Near Eastern yDNA J and T in Italy).

Hanna
03-31-2013, 10:34 AM
My K36 from highest to low:

22.74% North_Caucasian
19.20% East_Mediterranean
13.01% Near_Eastern
12.17% Armenian
10.08% West_Caucasian
4.01% Italian
3.67% South_Central_Asian
2.73% Mediterranean
2.64% Central_European
2.03% East_Central_Asian
1.84% Arabian
1.33% Basque
1.23% East_Balkan
1.15% West_Mediterranean
1.06% Siberian
0.79% French
0.24% North_Atlantic
0.05% Volga-Ural
0.02% East_Asian

The rest 0% admıxture.


My maternal K36:


21.05% East_Mediterranean
18.69% North_Caucasian
14.84% West_Caucasian
13.81% Armenian
12.14% Near_Eastern
7.08% Italian
5.32% South_Central_Asian
3.06% Arabian
2.29% Mediterranean
1.62% Basque
0.08% East_Balkan
0.02% Iberian
0.01% West_Mediterranean

The rest 0% admıxture


Can someone please explaın whıch populations each admıxture represents for thıs run??

The previous K36 I posted was the old one, here are my results for the updated one


My K36:


23,80% North_Caucasian
18,32% East_Med
12,46% Armenian
11,39% Near_Eastern
9,58% West_Caucasian
5,52% South_Central_Asian
5,07% Italian
3,28% Central_Euro
2,62% East_Central_Asian
2,44% Arabian
2,08% East_Balkan
1,71% West_Med
0,90% Basque
0,47% French
0,31% Siberian
0,03% North_Atlantic
0,01% Iberian

Maternal K36:

23,37% East_Med
19,97% North_Caucasian
15,38% West_Caucasian
14,34% Armenian
8,81% Italian
6,75% Near_Eastern
5,87% South_Central_Asian
3,86% Arabian
0,83% East_Balkan
0,66% Basque
0,08% Iberian
0,05% West_Med
0,01% Central_Euro
0,01% North_African

MacEochaidh
04-22-2013, 12:31 AM
I'm 50% Native Irish, 25% Ulster Scot, and 25% French-Canadian (mostly from La Rochelle, Normandy, Brittany and Auvergne)

No. Atlantic 17.31
No. Sea 16.01
Italian 13.22 (High! Could be Auvergne and other Central and Alpine French)
Iberian 12.38
French 11.87 (I've seen Irish with as high as 11.02)
Fennoscandian 6.11
Central Euro 5.04
No. Caucasus 4.30 (Very high! Alans in Brittany and Northeast France?)
E. Balkan 3.76
E. Cent. Euro 3.41 (Low)
E. Euro 2.46
W. Med 1.78
Basque 1.00

ilmari
04-22-2013, 03:56 AM
K36 for me.

Population
Amerindian 0.35%
Arabian -
Armenian -
Basque 1.08%
Central_African -
Central_Euro 3.71%
East_African -
East_Asian 0.10%
East_Balkan 1.31%
East_Central_Asian -
East_Central_Euro 3.08%
East_Med -
Eastern_Euro 6.92%
Fennoscandian 65.83%
French 3.10%
Iberian -
Indo-Chinese -
Italian -
Malayan -
Near_Eastern -
North_African -
North_Atlantic 6.09%
North_Caucasian -
North_Sea 4.13%
Northeast_African -
Oceanian 0.63%
Omotic -
Pygmy 0.31%
Siberian 1.87%
South_Asian -
South_Central_Asian -
South_Chinese 0.12%
Volga-Ural 1.36%
West_African -
West_Caucasian -
West_Med -

FWIW, at 23andMe, my Ancestry Composition Sub-regional resolution is:

100%
European

Northern European
100% Finnish
< 0.1% Nonspecific European

J Man
05-17-2013, 06:02 PM
I think it would be neat and interesting to compare our results from the Eurogenes EUtest and Jtest calculators at GEDmatch. Personally I find the EUtest calculator to be the very best one out there for sorting out West Eurasian autosomal ancestries. Here are my family member's results below with the EUtest results above and the Jtest results underneath.

Mine:

Population
SOUTH_BALTIC 12.16%
EAST_EURO 17.21%
NORTH-CENTRAL_EURO 23.61%
ATLANTIC 17.74%
WEST_MED 10.52%
EAST_MED 10.16%
WEST_ASIAN 5.54%
MIDDLE_EASTERN 1.01%
SOUTH_ASIAN 0.16%
EAST_AFRICAN 0.23%
EAST_ASIAN -
SIBERIAN 1.66%
WEST_AFRICAN -


Population
SOUTH_BALTIC 12.09%
EAST_EURO 16.82%
NORTH-CENTRAL_EURO 23.25%
ATLANTIC 17.01%
WEST_MED 9.91%
ASHKENAZI 5.29%
EAST_MED 8.67%
WEST_ASIAN 4.75%
MIDDLE_EASTERN 0.20%
SOUTH_ASIAN 0.17%
EAST_AFRICAN 0.24%
EAST_ASIAN -
SIBERIAN 1.60%
WEST_AFRICAN -

Mother:

Population
SOUTH_BALTIC 11.20%
EAST_EURO 15.25%
NORTH-CENTRAL_EURO 26.94%
ATLANTIC 27.91%
WEST_MED 11.19%
EAST_MED 1.83%
WEST_ASIAN 5.40%
MIDDLE_EASTERN -
SOUTH_ASIAN -
EAST_AFRICAN 0.27%
EAST_ASIAN -
SIBERIAN -
WEST_AFRICAN -

Population
SOUTH_BALTIC 11.13%
EAST_EURO 15.02%
NORTH-CENTRAL_EURO 26.70%
ATLANTIC 27.44%
WEST_MED 10.72%
ASHKENAZI 3.31%
EAST_MED 0.62%
WEST_ASIAN 4.83%
MIDDLE_EASTERN -
SOUTH_ASIAN -
EAST_AFRICAN 0.23%
EAST_ASIAN -
SIBERIAN -
WEST_AFRICAN -

Father:

Population
SOUTH_BALTIC 14.59%
EAST_EURO 13.96%
NORTH-CENTRAL_EURO 19.20%
ATLANTIC 9.70%
WEST_MED 10.70%
EAST_MED 17.86%
WEST_ASIAN 6.64%
MIDDLE_EASTERN 2.53%
SOUTH_ASIAN 1.31%
EAST_AFRICAN -
EAST_ASIAN -
SIBERIAN 3.47%
WEST_AFRICAN -

Population
SOUTH_BALTIC 14.50%
EAST_EURO 13.53%
NORTH-CENTRAL_EURO 18.79%
ATLANTIC 8.91%
WEST_MED 10.04%
ASHKENAZI 5.91%
EAST_MED 16.27%
WEST_ASIAN 5.73%
MIDDLE_EASTERN 1.51%
SOUTH_ASIAN 1.31%
EAST_AFRICAN -
EAST_ASIAN -
SIBERIAN 3.42%
WEST_AFRICAN 0.06%


Paternal Grandfather:


Population
SOUTH_BALTIC 5.14%
EAST_EURO -
NORTH-CENTRAL_EURO 9.68%
ATLANTIC 11.02%
WEST_MED 16.51%
EAST_MED 34.35%
WEST_ASIAN 14.03%
MIDDLE_EASTERN 8.97%
SOUTH_ASIAN -
EAST_AFRICAN 0.31%
EAST_ASIAN -
SIBERIAN -
WEST_AFRICAN -


Population
SOUTH_BALTIC 4.79%
EAST_EURO -
NORTH-CENTRAL_EURO 8.91%
ATLANTIC 9.69%
WEST_MED 15.52%
ASHKENAZI 8.49%
EAST_MED 32.17%
WEST_ASIAN 12.70%
MIDDLE_EASTERN 7.55%
SOUTH_ASIAN -
EAST_AFRICAN 0.17%
EAST_ASIAN -
SIBERIAN -
WEST_AFRICAN -


Great Uncle:

Population
SOUTH_BALTIC 10.18%
EAST_EURO 9.39%
NORTH-CENTRAL_EURO 28.73%
ATLANTIC 31.07%
WEST_MED 9.83%
EAST_MED 8.30%
WEST_ASIAN 2.25%
MIDDLE_EASTERN -
SOUTH_ASIAN -
EAST_AFRICAN 0.24%
EAST_ASIAN -
SIBERIAN -
WEST_AFRICAN -


Population
SOUTH_BALTIC 10.11%
EAST_EURO 8.92%
NORTH-CENTRAL_EURO 28.29%
ATLANTIC 30.21%
WEST_MED 8.96%
ASHKENAZI 6.18%
EAST_MED 6.00%
WEST_ASIAN 1.15%
MIDDLE_EASTERN -
SOUTH_ASIAN -
EAST_AFRICAN 0.19%
EAST_ASIAN -
SIBERIAN -
WEST_AFRICAN -

ilmari
05-18-2013, 05:46 AM
Sorry, but could you provide a link to that site? I can't find it, AGAIN! :P

geebee
05-18-2013, 01:07 PM
For my dad and me:

My EUtest results

Population
SOUTH_BALTIC 11.32%
EAST_EURO 10.42%
NORTH-CENTRAL_EURO 23.88%
ATLANTIC 25.38%
WEST_MED 12.66%
EAST_MED 4.95%
WEST_ASIAN 7.39%
MIDDLE_EASTERN 1.74%
SOUTH_ASIAN 0.26%
EAST_AFRICAN -
EAST_ASIAN 0.77%
SIBERIAN 1.23%
WEST_AFRICAN -

My dad's EUtest results

Population
SOUTH_BALTIC 11.94%
EAST_EURO 8.40%
NORTH-CENTRAL_EURO 28.58%
ATLANTIC 24.74%
WEST_MED 12.69%
EAST_MED 6.73%
WEST_ASIAN 5.27%
MIDDLE_EASTERN 0.91%
SOUTH_ASIAN 0.55%
EAST_AFRICAN -
EAST_ASIAN 0.17%
SIBERIAN -
WEST_AFRICAN -

My Jtest results

Population
SOUTH_BALTIC 11.29%
EAST_EURO 10.13%
NORTH-CENTRAL_EURO 23.58%
ATLANTIC 24.90%
WEST_MED 12.23%
ASHKENAZI 3.89%
EAST_MED 3.99%
WEST_ASIAN 6.85%
MIDDLE_EASTERN 0.90%
SOUTH_ASIAN 0.22%
EAST_AFRICAN -
EAST_ASIAN 0.74%
SIBERIAN 1.27%
WEST_AFRICAN -

My dad's Jtest results

Population
SOUTH_BALTIC 11.87%
EAST_EURO 8.03%
NORTH-CENTRAL_EURO 28.18%
ATLANTIC 24.06%
WEST_MED 12.06%
ASHKENAZI 5.34%
EAST_MED 5.27%
WEST_ASIAN 4.49%
MIDDLE_EASTERN -
SOUTH_ASIAN 0.54%
EAST_AFRICAN -
EAST_ASIAN 0.06%
SIBERIAN 0.10%
WEST_AFRICAN -

Unsurprisingly, many of these numbers are pretty similar. My mother and father came from two different parts of the country, but had many things in common. (Even the same not-so-common blood type, B.)

Both of them were about half German. But whereas my father essentially only has one other ancestral component (that we know of), which is Scottish/Scots-Irish, my mother had several: Spanish, Dutch, Swiss, French, Irish, and Native American (probably Choctaw).

Many of my father's and my component percentages are very similar, but I think the higher "East_Asian" and "Siberian" I have is probably associated with the Native American (which is just a couple of percent).

Interestingly, although my "Spanish" ancestry is about equivalent to one great grandparent, and actually was from the Mediterranean island of Minorca, both my father's "East_Med" and "West_Med" are slightly higher than mine. I'm not at all sure why this would be, but it's always struck me that in 23andMe's Global Similarity Advanced, my siblings and I appear all appear in the French and German boxes, but our father also appears in the Austrian box. So there does at least appear to be some sort of "southeastern" pull for him.

It's been suggested by some that the "German" form of our family name may actually have an Austrian origin -- but any connection to Austria is likely to be earlier than about 1600, for whatever that might mean.

Silesian
05-18-2013, 03:50 PM
All known history Silesia/ Polish: Śląsk-Königsberg
In the late Bronze Age, the Lusatian culture (in the past, variously speculated to be either 'pre-Germanic', Proto-Slavic, Thracian, Karpo-Dacian or Illyrian) covered Silesia. Later, the Scythians and Celts (the tribes of Boii, Cotini and Osi[2]) are known to have played a role within the Silesian territory. Still later Germanic tribes migrated to Silesia, possibly from Northern Germany or Scandinavia.
Königsberg
The literal meaning of the town's name is 'King's Mountain'. In the local Low German dialect, spoken by many of its German inhabitants, the name was Königsbarg (local pronunciation: /ˈkʰeˑnɪçsbɒɐç/). Further names include Old Prussian: Kunnegsgarbs, Knigsberg, Lithuanian: Karaliaučius, Polish: Królewiec,

EU test.
Admix Results (sorted):
# Population Percent
1-SOUTH_BALTIC 28.92
2-EAST_EURO 19.43
3-NORTH-CENTRAL_EURO 18.09
4-ATLANTIC 16.49
5-WEST_MED 8.59
6-EAST_MED 4.75
7-WEST_ASIAN 3.73
Using 1 population approximation:
1 PL @ 2.957
2 UA @ 4.564
3 West_Russian @ 6.648
Using 4 populations approximation:
1 AT + HU + LIT + LIT @ 1.311

Jtest

# Population Percent
1-SOUTH_BALTIC 28.87
2-EAST_EURO 19.16
3-NORTH-CENTRAL_EURO 17.80
4-ATLANTIC 15.97
5-WEST_MED 8.00
6-ASHKENAZI 3.69
7-EAST_MED 3.35
8-WEST_ASIAN 3.17
Using 1 population approximation:
1 PL @ 2.949
2 UA @ 4.670
3 West_Russian @ 6.560Using 4 populations approximation:
1 AT + HU + LIT + LIT @ 1.507

Telfermagne
05-22-2013, 01:14 AM
I am US83 in the project, I ain't been able to do the UCLA SPatial since I'm currently limited to operating with a chromebook. :(

Gedmatch Eurogenes results -

M033622 (Admix & Oracle 4 & Oracle X in spoiler tags due to length)

The Oracle X results seemed to be the most representative of my actual genealogical background compared to the others (gave Cornish 34.22%, English 29.51%, IE 7.30% for 71.03% British Islander, quite close to my actual background).

EUTest -


Population
SOUTH_BALTIC 10.72%
EAST_EURO 11.43%
NORTH-CENTRAL_EURO 26.28%
ATLANTIC 25.83%
WEST_MED 15.03%
EAST_MED 4.96%
WEST_ASIAN 5.43%
MIDDLE_EASTERN -
SOUTH_ASIAN 0.16%
EAST_AFRICAN -
EAST_ASIAN -
SIBERIAN -
WEST_AFRICAN 0.12

Oracle - 4

Using 1 population approximation:
1 NL @ 5.159
2 Cornish @ 5.247
3 English @ 5.621
4 West_&_Central_German @ 5.963
5 Orcadian @ 7.647
6 IE @ 7.842
7 FR @ 8.394
8 DK @ 8.942
9 Scottish @ 9.751
10 NO @ 11.128
78 iterations.



Using 2 populations approximation:
1 50% DK +50% FR @ 3.399
2 50% FR +50% NO @ 3.675
3 50% FR +50% NL @ 3.750
4 50% FR +50% IE @ 3.768
5 50% FR +50% Orcadian @ 3.795
6 50% English +50% FR @ 3.856
7 50% FR +50% West_&_Central_German @ 4.333
8 50% FR +50% South_&_Central_Swedish @ 4.413
9 50% Cornish +50% FR @ 4.511
10 50% Cornish +50% NL @ 4.624
3081 iterations.



Using 3 populations approximation:
1 50% FR +25% IE +25% NO @ 3.017
2 50% FR +25% DK +25% IE @ 3.093
3 50% FR +25% NO +25% Orcadian @ 3.212
4 50% FR +25% English +25% NO @ 3.230
5 50% NL +25% Cornish +25% FR @ 3.250
6 50% NL +25% FR +25% IE @ 3.251
7 50% FR +25% DK +25% Orcadian @ 3.260
8 50% FR +25% IE +25% South_&_Central_Swedish @ 3.272
9 50% FR +25% NL +25% NO @ 3.281
10 50% FR +25% Cornish +25% NO @ 3.338
60905 iterations.



Using 4 populations approximation:
1 FR + FR + IE + NO @ 3.017
2 DK + FR + FR + IE @ 3.093
3 FR + FR + NO + Orcadian @ 3.212
4 English + FR + FR + NO @ 3.230
5 Cornish + FR + NL + NL @ 3.250
6 FR + IE + NL + NL @ 3.251
7 DK + FR + FR + Orcadian @ 3.260
8 FR + FR + IE + South_&_Central_Swedish @ 3.272
9 FR + FR + NL + NO @ 3.281
10 Cornish + FR + FR + NO @ 3.338
11 Cornish + English + FR + NL @ 3.349
12 DK + FR + FR + NL @ 3.356
13 FR + IE + NL + West_&_Central_German @ 3.359
14 DK + English + IE + North_Italian @ 3.369
15 FR + FR + IE + NL @ 3.370
16 English + FR + NL + NL @ 3.382
17 English + FR + IE + NL @ 3.383
18 DK + English + FR + FR @ 3.394
19 DK + DK + FR + FR @ 3.399
20 DK + IE + IE + North_Italian @ 3.407

147132 iterations.

Done.

Elapsed time 0.1810 seconds.

Oracle X -
Pct. Calc. Option 2

0 Unable to determine 0.01%
1 Cornish 34.22%
2 English 29.51%
3 IE 7.30%
4 Armenian 5.71%
5 Sardinian 5.40%
6 DK 5.34%
7 NO 5.19%
8 Komi 4.43%
9 French_Basque 2.77%
10 FR 0.11%

MitchellSince1893
06-17-2013, 02:31 AM
Genealogically I'm approximately 40% English, 25% Scottish and Ulster Scot, 20% Welsh, 14% German, and 1% from India.

My K36 results:
1. North_Sea 20.75%
2. North_Atlantic 18.17%
3. Iberian 13.93%
4. East_Central_Euro 12.12%
5. Fennoscandian 8.55%
6. Central_Euro 6.76%
7. Eastern_Euro 5.27%
8. Italian 4.17%
9. French 3.45%
10. East_Balkan 1.75%
11. North_Caucasian 1.64%
12. Basque 1.43%
13. Volga-Ural 0.79%
14. Armenian 0.29%
15. West_Med 0.27%
16. East_Med 0.24%
17. South_Central_Asian 0.21%
18. West_Caucasian 0.15%

J Man
08-14-2013, 08:20 PM
Has anyone been in contact with Polako about the X-chromosome paintings? ABF is still down. :(

DMXX
08-15-2013, 03:56 AM
Has anyone been in contact with Polako about the X-chromosome paintings? ABF is still down. :(

As far as I'm aware, the only other places to contact David are via 23andMe or Molgen. You might want to give those a try regarding this topic.

J Man
08-15-2013, 01:54 PM
Thanks DMXX I have been in contact with him now. I find his X-chromosome analysis to be quite interesting actually. I asked him about the bio-geographic origin of my X-chromosome and here is what he said about it to me.

''Yes, it's unexpectedly northeastern European for an X from the British Isles, which is where I assume your mother's ancestry is from. But then again, there are British samples near your X on the plot, and also keep in mind that this is a mixed half of your mother's two X chromosomes. That's why quirky results can happen when testing the X, especially for males, but like I say, there are Kent and Orcadian samples near your coordinates, so perhaps this isn't as quirky as all that.''

evon
08-15-2013, 03:39 PM
I just sent him a mail and invited him to post my results here..

J Man
08-15-2013, 08:29 PM
^Is he going to become a member of the forums here? If so I think that is great!

evon
08-15-2013, 08:48 PM
^Is he going to become a member of the forums here? If so I think that is great!

Time will tell...still no response..

J Man
08-16-2013, 02:41 PM
If anyone would like to be in contact with Polako about any of this just sent me a PM with you're email address and I will send you his email. I still can't send PMS on here for some strange reason.

evon
08-16-2013, 04:11 PM
My X results via another member Muso/Leonardo:

http://imageshack.us/a/img22/6262/1y0i.jpg

http://imageshack.us/a/img401/3901/0n9m.jpg

Have no idea if this is typical for Scandinavians? the south Asian must be Roma related, i guess with all likelihood the same is true for the Middle eastern and South East Euro segments..


Also, David wants to get a hold of FI4, RS3 and RS4, so if you know how to contact them, let me know or tell them to contact David..

J Man
08-16-2013, 07:05 PM
^I also have some South Asian on mine. In fact one of the chunks looks a bit larger than yours. I don't know of any Roma ancestry. Maybe it is typical for Europeans I am not sure really. I will post mine soon.

J Man
08-16-2013, 07:42 PM
Okay here are mine. And here is what Polako had to say when I asked him about the origin of my X. I asked him if it looks Northern European in origin which it should be since it comes from the British Isles and Ireland.

''''Yes, it's unexpectedly northeastern European for an X from the British Isles, which is where I assume your mother's ancestry is from. But then again, there are British samples near your X on the plot, and also keep in mind that this is a mixed half of your mother's two X chromosomes. That's why quirky results can happen when testing the X, especially for males, but like I say, there are Kent and Orcadian samples near your coordinates, so perhaps this isn't as quirky as all that.''

http://imageshack.us/a/img826/517/lt5d.png

http://imageshack.us/a/img5/4701/axpf.png

evon
08-16-2013, 09:09 PM
He said:


I don't think your results are typical for Scandinavia, but they might not be too unusual for Western Norway.

I'm not home now, but I can send you a bigger plot tomorrow. You're actually towards the bottom of the plot surrounded by Spaniards, and sitting on the 0 line. So it's a rather Atlantic result.

Also, it's unlikely that the Middle Eastern blocks represent recent Middle Eastern ancestry of any kind. They're probably common all over Europe, but especially in Southern Europe, and most common in the Middle East.

In fact, I ran your X a couple of times and those segments switch from Middle Eastern to West Asian to Atlanto-Med. So the algorithm can't make up its mind what they are exactly. The South Asian segment on the left sometimes switches to East Asian, but it's always there in the same place and gives a strong signal.

It seems i need to investigate it allot more, wish i had some samples to compare it with...I have no way of knowing if the X chr has any Roma ancestry attached to it, so far ive not found X matches that are Romani if i remember correctly, i will check Gedmatch tomorrow...But its interesting that its so "Atlantic" oriented, might be very old things we are seeing though?

leonardo
08-16-2013, 10:31 PM
Mine (and my mother's) had a southeastern European lean to it. My x chromosome history is Scots-Irish and German. I asked David if there might be a more ancient aspect to this data. He responded:
And yes, your mum's painting and MDS results suggest a more southern X chromosome than expected for someone entirely from the British Isles. But ancestry from Germany could explain this, because many Germans do show strong Balkan and Mediterranean-like ancestry which probably dates back to the Neolithic, and/or Bronze and Iron Ages.

Mine:

http://imageshack.us/a/img43/3835/tmdw.jpg
http://imageshack.us/a/img197/9567/qivw.jpg


My Mother:

http://imageshack.us/a/img32/8935/mvrq.jpg
http://imageshack.us/a/img4/510/go0d.jpg

J Man
08-16-2013, 11:33 PM
He said:



It seems i need to investigate it allot more, wish i had some samples to compare it with...I have no way of knowing if the X chr has any Roma ancestry attached to it, so far ive not found X matches that are Romani if i remember correctly, i will check Gedmatch tomorrow...But its interesting that its so "Atlantic" oriented, might be very old things we are seeing though?

You're results are in line with other autosomal analysis such as the EUtest showing Norwegians to have a very strong Atlantic pull. There definitely is a lot of common ancestry shared between Norwegians, Brits, Irish, French and all the way down to Iberia. Very old Megalithic connections possibly?

evon
08-17-2013, 10:05 AM
You're results are in line with other autosomal analysis such as the EUtest showing Norwegians to have a very strong Atlantic pull. There definitely is a lot of common ancestry shared between Norwegians, Brits, Irish, French and all the way down to Iberia. Very old Megalithic connections possibly?

I think its very old yes...Looking at my Gedmatch results for the X i see a good number of Finnish and German names at first glance, and some Russians Tatars ect, none of the Norwegian Romani match me on the X, my AF have only two matches on the X, and they are likely of Norwegian ancestry...My grandmothers X over at Gedmatch have mostly Russians and Tatars, not so many Fins oddly enough, her AF results indicate Norwegian and Dutch matches on the X.

J Man
08-17-2013, 03:04 PM
I actually had a good discussion with Polako via email last night about the deep origins of these different components of the X-chromosome. I basically asked about the origins of the West Eurasian components. I asked this below.

''So from this analysis then for the European components of the X-chromosome would this make sense and be safe to say

Mesolithic: Northeast European and Northwest European

Neolithic: Southeast Euro, West Asian and Middle Eastern

Mixed (Mesolithic and Neolithic): Atlanto-Med''


And he replied.

''Yes, I think that's a logical conclusion, based on everything we've seen to date.''


I think this makes sense.

evon
08-20-2013, 07:51 PM
Hello fellow DNA enthusiast,
David over at Eurogenes have started running a fastIBD run, but for now he has released only a teaser,
its a good way for us as a community to get our heads working on how to easiest represent and get the most out of the data supplied.
Last time Eurogenes released a fastIBD analysis,
a Canadian DNA cousin of mine created a easily readable office type file,
that gave people many advantages in interpreting the data without holding a Phd in Office tools, and i am hoping he will come to our rescue this time around too :)

Anyways, here (https://www.dropbox.com/s/2px46mrf07ovg4l/Chr1.zip) is the new fastIBD file for chr 1, the rest will be released in the not to distant future if everything goes well.

Some basic instructions:

Looking at the Main file for the matches, we see the matches in this fashion:

Orcadian_HG00118_a Norwegian_NO1_a 12855 13032 8.92E-012

If i remember correctly the E number indicates reliability level, while the number infront of the E indicates cM size and the other numbers the range of shared SNP's. Thus the match between the Orcadian and myself is 8,92cM, 177 SNP's and a reliability of 012, which is fairly low on a range between 10-120.

leonardo
08-20-2013, 08:31 PM
a Canadian DNA cousin of mine created a easily readable office type file,
that gave people many advantages in interpreting the data without holding a Phd in Office tools, and i am hoping he will come to our rescue this time around too :)
Is file currently available for others to use evon?

evon
08-20-2013, 08:35 PM
Is file currently available for others to use evon?

He did upload it last time around, but i dont have it stored on my PC, or have access to the link he used for the file, but i will get in contact with him via 23andme and direct him to this thread in hopes that he might want to contribute this time around too..

leonardo
08-20-2013, 08:43 PM
He did upload it last time around, but i dont have it stored on my PC, or have access to the link he used for the file, but i will get in contact with him via 23andme and direct him to this thread in hopes that he might want to contribute this time around too..
Do you know if David is going to include all the samples from the last run, such as the Polish, German, etc.?

evon
08-20-2013, 08:53 PM
Do you know if David is going to include all the samples from the last run, such as the Polish, German, etc.?

He said:



When you guys learn to process and analyze this output, I'll run a major fastIBD analysis with all unrelated project members.

Also with regards to using R:

For more accurate results, please swap the sex averaged cM distances in the marker and bim files to male and female specific cM distances, which can be found in the 260K_SNP_cM text file. To do that, you need to change the marker and bim files to text files and swap the cM column in Excel. Or you can just use the sex averaged cM distances...

Of course, you'll need the latest R installed the run the ibd2segment script.

leonardo
08-20-2013, 09:23 PM
He said:



Also with regards to using R:
Any suggestions?

evon
08-21-2013, 08:58 AM
Any suggestions?

Hi,

i cant help you much with this R script i am afraid, not my area of expertise..

J Man
08-21-2013, 09:52 PM
Polako just released a new PCA of West Eurasia. I found myself right where I thought I would be in among the Hungarians. I am right under hungary2 and hungary15.

http://eurogenes.blogspot.ca/2013/08/principal-component-analysis-pca-of.html

J Man
08-25-2013, 12:30 AM
The X-chromosome paintings have been redone. Here are my updated results and my place on the new X-pca map. I also asked him about what he thinks of my results this time and this is what he said.

''The result is very similar to the last one, it's just that the PCA has flipped everything vertically.

You're placed near several Northwest European samples, as before, but generally in the Northeastern part of the plot dominated by Northeast Euro samples.''

http://imageshack.us/a/img577/5690/k2sv.png

http://imageshack.us/a/img197/5871/qao.png

evon
08-29-2013, 08:47 PM
New corrected X results:


Surprisingly southern. But the result is confirmed by the PCA, so it's legit.

The South Asian segment on the left does look interesting because it's quite large and in between two West Asian segments. But it's on the telomere, so it might be old.

http://imageshack.com/scaled/large/809/957b.png
http://imageshack.com/scaled/large/824/f1xo.png

J Man
10-01-2013, 04:48 PM
A very interesting new entry by Polako.

http://eurogenes.blogspot.ca/2013/09/more-on-east-baltic-as-refuge-for.html

Scarlet Ibis
10-07-2013, 07:29 PM
New Eurogenes V2 K15 calculator in Gedmatch now. I first head this from a post by Dr_McNinja this morning.

http://bga101.blogspot.com/2013/10/eurogenes-k15-now-at-gedmatch.html

Scarlet Ibis
10-07-2013, 07:38 PM
My results:

1 Southeast_Asian 34.42
2 Atlantic 16.96
3 Siberian 16.39
4 North_Sea 14.85
5 Baltic 6.29
6 Eastern_Euro 5.81
7 West_Med 5.29

Oracle results:

Using 1 population approximation:
1 Uygur @ 28.217
2 Hazara @ 34.091
3 Uzbeki @ 34.551
4 Mongolian @ 37.733
5 Tu @ 38.777
6 Xibo @ 38.848
7 Altaian @ 40.068
8 Hezhen @ 40.195
9 Hakas @ 40.592
10 Tibeto-Burman_Burmese @ 40.799
165 iterations.



Using 2 populations approximation:
1 50% Japanese +50% Southeast_English @ 5.461
2 50% Japanese +50% Southwest_English @ 5.523
3 50% Irish +50% Japanese @ 5.619
4 50% Danish +50% Japanese @ 5.777
5 50% Japanese +50% West_Scottish @ 5.865
6 50% German +50% Japanese @ 6.068
7 50% Dutch +50% Japanese @ 6.517
8 50% Southeast_English +50% Tu @ 6.519
9 50% Southwest_English +50% Tu @ 6.582
10 50% Naxi +50% Southeast_English @ 6.627
13695 iterations.



My dad's results:

North_Sea 35.68%
Atlantic 27.92%
Baltic 13.50%
Eastern_Euro 10.57%
West_Med 8.69%
West_Asian 1.28%
Red_Sea 1.94%
Oceanian 0.23%
South_Asian 0.18%


Oracle results:

Using 1 population approximation:
1 Dutch @ 4.250
2 Danish @ 5.121
3 Irish @ 5.508
4 West_Scottish @ 5.673
5 Southeast_English @ 5.969
6 Southwest_English @ 6.277
7 Orcadian @ 6.650
8 Norwegian @ 6.990
9 German @ 7.030
10 Swedish @ 8.038
165 iterations.



Using 2 populations approximation:
1 50% Dutch +50% Irish @ 3.949
2 50% Dutch +50% West_Scottish @ 4.119
3 50% Danish +50% Dutch @ 4.142
4 50% Southwest_English +50% Swedish @ 4.200
5 50% Dutch +50% Dutch @ 4.250
6 50% Norwegian +50% Southwest_English @ 4.323
7 50% Irish +50% Norwegian @ 4.396
8 50% Dutch +50% Southeast_English @ 4.409
9 50% North_Swedish +50% Southwest_English @ 4.434
10 50% Southeast_English +50% Swedish @ 4.438
13695 iterations.

Scarlet Ibis
10-07-2013, 07:40 PM
My mom's results are a bit off, but likely because there aren't many East Asian samples.

1 Southeast_Asian 69.97
2 Siberian 30.03

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Japanese @ 4.247
2 Naxi @ 6.414
3 Yizu @ 7.883
4 Tu @ 8.171
5 Xibo @ 16.045
6 Hezhen @ 17.296
7 Tujia @ 18.453
8 Miaozu @ 21.330
9 She @ 23.262
10 Lahu @ 24.788
165 iterations.

Humanist
10-07-2013, 11:50 PM
EASTERN ASSYRIAN (Humanist)

Admix Results (sorted):

# Population Percent
1 East_Med 39.82
2 West_Asian 32.55
3 Red_Sea 8.51
4 West_Med 6.14
5 South_Asian 4.74
6 Atlantic 4.17
7 Baltic 2.23
8 Eastern_Euro 1.84

# Population (source) Distance
1 Assyrian 3.5
2 Armenian 8.04
3 Kurdish 9.37
4 Lebanese_Muslim 10.47
5 Iranian 11.01
6 Turkish 11.48
7 Syrian 12.82
8 Lebanese_Christian 14.47
9 Cyprian 14.97
10 Lebanese_Druze 15.08
11 Samaritan 16.87
12 Jordanian 17.81
13 Palestinian 18.74
14 Sephardic_Jewish 21.78
15 Bedouin 22.27
16 Ashkenazi 24.37
17 Kumyk 24.54
18 Georgian 25.89
19 Adygei 28.04
20 Egyptian 28.76

# Primary Population (source) Secondary Population (source) Distance
1 84.4% Assyrian + 15.6% Kurdish @ 3.1
2 86.8% Assyrian + 13.2% Iranian @ 3.11
3 96.2% Assyrian + 3.8% Abhkasian @ 3.31
4 96.9% Assyrian + 3.1% Brahui @ 3.33
5 96.6% Assyrian + 3.4% Makrani @ 3.33
6 97% Assyrian + 3% Balochi @ 3.33
7 96.2% Assyrian + 3.8% Georgian @ 3.35
8 96.9% Assyrian + 3.1% North_Ossetian @ 3.36
9 96.7% Assyrian + 3.3% Adygei @ 3.37
10 98.2% Assyrian + 1.8% Sindhi @ 3.38
11 98.9% Assyrian + 1.1% Velamas @ 3.4
12 98.3% Assyrian + 1.7% Burusho @ 3.4
13 98.3% Assyrian + 1.7% Pathan @ 3.4
14 98.9% Assyrian + 1.1% Kurumba @ 3.41
15 97.4% Assyrian + 2.6% Balkar @ 3.41
16 98.8% Assyrian + 1.2% Kshatriya @ 3.41
17 99% Assyrian + 1% Piramalai @ 3.41
18 98.9% Assyrian + 1.1% Kanjar @ 3.41
19 98.9% Assyrian + 1.1% Dharkar @ 3.42
20 98.8% Assyrian + 1.2% Gujarati @ 3.42


SOUTH IRAQI MANDAEAN 1

Admix Results (sorted):

# Population Percent
1 East_Med 40.09
2 West_Asian 30.8
3 Red_Sea 8.74
4 West_Med 6.99
5 South_Asian 5.89
6 North_Sea 3.62
7 Atlantic 2.74
8 Amerindian 0.81
9 Eastern_Euro 0.34

Single Population Sharing:

# Population (source) Distance
1 Assyrian 3.46
2 Armenian 8.44
3 Lebanese_Muslim 9.7
4 Kurdish 10.72
5 Syrian 11.7
6 Iranian 11.85
7 Turkish 12.37
8 Lebanese_Christian 13.32
9 Lebanese_Druze 13.86
10 Cyprian 14.39
11 Samaritan 15.73
12 Jordanian 16.79
13 Palestinian 17.64
14 Sephardic_Jewish 21
15 Bedouin 21.36
16 Ashkenazi 23.62
17 Kumyk 25.6
18 Georgian 27.31
19 Egyptian 27.83
20 Greek 29.17

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 97.8% Assyrian + 2.2% Piramalai @ 2.99
2 97.6% Assyrian + 2.4% Velamas @ 2.99
3 97.7% Assyrian + 2.3% Kurumba @ 3
4 97.9% Assyrian + 2.1% Chamar @ 3
5 97.7% Assyrian + 2.3% Dusadh @ 3.01
6 97.8% Assyrian + 2.2% Kol @ 3.03
7 97.8% Assyrian + 2.2% Chenchu @ 3.03
8 97.8% Assyrian + 2.2% Uttar_Pradesh @ 3.05
9 97.9% Assyrian + 2.1% North_Kannadi @ 3.06
10 97.7% Assyrian + 2.3% Dharkar @ 3.06
11 97.8% Assyrian + 2.2% Kanjar @ 3.08
12 97.6% Assyrian + 2.4% Gujarati @ 3.11
13 97.7% Assyrian + 2.3% Kshatriya @ 3.12
14 97.6% Assyrian + 2.4% Brahmin_UP @ 3.14
15 97.8% Assyrian + 2.2% Bangladeshi @ 3.14
16 97.1% Assyrian + 2.9% Sindhi @ 3.15
17 98.2% Assyrian + 1.8% Austroasiatic_Ho @ 3.16
18 96% Assyrian + 4% Makrani @ 3.21
19 97.6% Assyrian + 2.4% Punjabi_Jat @ 3.24
20 96.6% Assyrian + 3.4% Brahui @ 3.24

AJL
10-08-2013, 12:33 AM
Mine.



Population
North_Sea 19.77%
Atlantic 22.63%
Baltic 9.36%
Eastern_Euro 6.14%
West_Med 10.58%
West_Asian 7.44%
East_Med 17.61%
Red_Sea 3.90%
South_Asian -
Southeast_Asian 0.55%
Siberian 1.04%
Amerindian -
Oceanian 0.28%
Northeast_African 0.68%
Sub-Saharan -



# Population (source) Distance
1 Serbian 10.23
2 Romanian 10.75
3 North_Italian 10.87
4 Tuscan 11.16
5 Bulgarian 11.87
6 French 13.22
7 Austrian 13.69
8 Portuguese 13.73
9 Spanish_Murcia 13.88
10 Spanish_Cataluna 13.9
11 Spanish_Extremadura 13.98
12 Spanish_Galicia 14.16
13 Spanish_Castilla_Y_Leon 14.36
14 Greek 14.57
15 Hungarian 15.61
16 Spanish_Valencia 15.77
17 Spanish_Andalucia 16.05
18 Spanish_Castilla_La_Mancha 16.84
19 Ashkenazi 17.14
20 German 17.31

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 57.3% German + 42.7% Sephardic_Jewish @ 3.16
2 51.4% Irish + 48.6% Sephardic_Jewish @ 3.41
3 51.8% Danish + 48.2% Sephardic_Jewish @ 3.47
4 50.7% West_Scottish + 49.3% Sephardic_Jewish @ 3.65
5 53.3% Southeast_English + 46.7% Sephardic_Jewish @ 3.78
6 58.8% Irish + 41.2% Cyprian @ 3.96
7 52.5% Dutch + 47.5% Sephardic_Jewish @ 3.98
8 56.3% Ashkenazi + 43.7% Irish @ 4.18
9 60.7% Southeast_English + 39.3% Cyprian @ 4.19
10 58.2% West_Scottish + 41.8% Cyprian @ 4.28
11 59.2% Danish + 40.8% Cyprian @ 4.31
12 54.5% Ashkenazi + 45.5% Southeast_English @ 4.32
13 57.1% Ashkenazi + 42.9% West_Scottish @ 4.39
14 53.6% Southwest_English + 46.4% Sephardic_Jewish @ 4.52
15 50.9% Sephardic_Jewish + 49.1% Swedish @ 4.57
16 50.9% Sephardic_Jewish + 49.1% Norwegian @ 4.59
17 56% Ashkenazi + 44% Danish @ 4.59
18 64.5% Southeast_English + 35.5% Samaritan @ 4.6
19 50.5% Sephardic_Jewish + 49.5% Orcadian @ 4.62
20 64.7% German + 35.3% Cyprian @ 4.64

Using 4 populations approximation:
1 Austrian + Lebanese_Druze + Spanish_Valencia + West_Scottish @ 1.948
2 Austrian + Irish + Lebanese_Druze + Spanish_Valencia @ 1.956
3 Austrian + Irish + Lebanese_Druze + Spanish_Murcia @ 1.970
4 Austrian + Lebanese_Druze + Spanish_Murcia + West_Scottish @ 2.076
5 Austrian + Irish + Lebanese_Druze + Spanish_Castilla_Y_Leon @ 2.100
6 Austrian + Irish + Lebanese_Druze + Spanish_Aragon @ 2.113
7 Austrian + Lebanese_Druze + Spanish_Aragon + West_Scottish @ 2.114
8 Austrian + Irish + Lebanese_Druze + Spanish_Castilla_La_Mancha @ 2.139
9 Austrian + Lebanese_Druze + Spanish_Castilla_Y_Leon + West_Scottish @ 2.152
10 Austrian + Lebanese_Druze + Spanish_Castilla_La_Mancha + West_Scottish @ 2.161
11 Austrian + Danish + Lebanese_Druze + Spanish_Aragon @ 2.199
12 Austrian + Danish + Lebanese_Druze + Spanish_Valencia @ 2.211
13 Austrian + Irish + Lebanese_Druze + Spanish_Cataluna @ 2.233
14 Austrian + Lebanese_Druze + Spanish_Andalucia + West_Scottish @ 2.251
15 Austrian + Lebanese_Druze + Southeast_English + Spanish_Castilla_Y_Leon @ 2.256
16 Austrian + Lebanese_Druze + Southeast_English + Spanish_Valencia @ 2.306
17 Austrian + Irish + Lebanese_Druze + Spanish_Extremadura @ 2.315
18 Austrian + Irish + Lebanese_Druze + Spanish_Andalucia @ 2.317
19 Austrian + Lebanese_Druze + Southeast_English + Spanish_Murcia @ 2.321
20 Austrian + Lebanese_Druze + Orcadian + Spanish_Aragon @ 2.329

Anglecynn
10-08-2013, 12:55 AM
Posted many results for my family, will post mine for now:

1) North_Sea 34.34
2) Atlantic 24.73
3) Baltic 11.82
4) Eastern_Euro 8.91
5) West_Med 8.52
6) East_Med 4.31
7) West_Asian 3.67
8) Red_Sea 1.7
9) South_Asian 0.89
10) Sub-Saharan 0.56
11) Oceanian 0.41
12) Amerindian 0.13
13) Northeast_African 0.01

1) German 3.3
2) Dutch 3.56
3) Southeast_English 5.29
4) Southwest_English 5.42
5) Danish 5.5
6) Irish 6.33
7) Orcadian 6.56
8) West_Scottish 6.62
9) Norwegian 6.79
10) Swedish 7.4
11) French 9.46
12) North_Swedish 9.72
13) Hungarian 13.79
14) Austrian 14
15) Southwest_Finnish 14.05
16) Finnish 16.99
17) Spanish_Galicia 17.29
18) Serbian 17.45
19) Spanish_Cataluna 17.64
20) Portuguese 18.5

1) 92.4% Dutch + 7.6% Sephardic_Jewish @ 1.33
2) 94% Dutch + 6% Palestinian @ 1.34
3) 94.1% Dutch + 5.9% Samaritan @ 1.37
4) 93.9% Dutch + 6.1% Jordanian @ 1.41
5) 93.7% Dutch + 6.3% Syrian @ 1.42
6) 93.9% Dutch + 6.1% Bedouin @ 1.43
7) 94.3% Dutch + 5.7% Lebanese_Christian @ 1.44
8) 93.7% Dutch + 6.3% Lebanese_Muslim @ 1.46
9) 94.3% Dutch + 5.7% Lebanese_Druze @ 1.46
10) 93.6% Dutch + 6.4% Cyprian @ 1.47

Anglecynn
10-08-2013, 12:58 AM
My father's results:

1) North_Sea 37.92
2) Atlantic 25.18
3) Baltic 12.04
4) West_Med 9.36
5) Eastern_Euro 8.41
6) East_Med 4.38
7) Red_Sea 1.35
8) South_Asian 0.68
9) Amerindian 0.44
10) West_Asian 0.25

1) Dutch 4.15
2) Orcadian 5.13
3) Danish 5.79
4) Norwegian 5.8
5) Southeast_English 5.88
6) Southwest_English 6
7) West_Scottish 6.5
8) Irish 6.58
9) German 6.9
10) Swedish 6.91
11) North_Swedish 10.05
12) French 11.58
13) Southwest_Finnish 15.48
14) Hungarian 16.59
15) Austrian 17.3
16) Finnish 18.32
17) Spanish_Galicia 18.75
18) Spanish_Cataluna 19.26
19) Portuguese 20.07
20) Spanish_Castilla_Y_Leon 20.47

1) 81.6% Norwegian + 18.4% Spanish_Murcia @ 3.22
2) 80.9% Norwegian + 19.1% Spanish_Castilla_Y_Leon @ 3.29
3) 80% Norwegian + 20% Spanish_Cataluna @ 3.33
4) 80.7% Norwegian + 19.3% Portuguese @ 3.34
5) 81.9% Norwegian + 18.1% Spanish_Extremadura @ 3.34
6) 79.6% Norwegian + 20.4% Spanish_Galicia @ 3.36
7) 83.7% Norwegian + 16.3% Spanish_Aragon @ 3.4
8) 83.3% Norwegian + 16.7% Spanish_Valencia @ 3.45
9) 83.7% Norwegian + 16.3% Spanish_Castilla_La_Mancha @ 3.53
10) 70.5% Norwegian + 29.5% French @ 3.54
11) 84.6% Norwegian + 15.4% Spanish_Andalucia @ 3.58
12) 82.8% Norwegian + 17.2% Spanish_Cantabria @ 3.59
13) 92.9% Orcadian + 7.1% Sardinian @ 3.62
14) 83.6% Orcadian + 16.4% Spanish_Galicia @ 3.63
15) 87.2% Orcadian + 12.8% North_Italian @ 3.69
16) 92.9% Orcadian + 7.1% Algerian @ 3.76
17) 85% Orcadian + 15% Portuguese @ 3.77
18) 78.7% Swedish + 21.3% Spanish_Murcia @ 3.77
19) 89.2% Orcadian + 10.8% Tuscan @ 3.78
20) 93.1% Orcadian + 6.9% Moroccan @ 3.78

Anglecynn
10-08-2013, 01:00 AM
My Grandfather's Results:

1) North_Sea 37.7
2) Atlantic 25.81
3) Baltic 13.72
4) Eastern_Euro 8.22
5) West_Med 7.26
6) East_Med 4.19
7) West_Asian 2.22
8) South_Asian 0.69
9) Siberian 0.19

1) Dutch 3.71
2) Orcadian 4.86
3) Norwegian 4.97
4) Danish 5.04
5) Swedish 5.37
6) Irish 5.63
7) Southeast_English 5.66
8) West_Scottish 5.74
9) German 5.96
10) Southwest_English 6.5
11) North_Swedish 9.05
12) French 12.75
13) Southwest_Finnish 14.32
14) Hungarian 15.95
15) Austrian 16.52
16) Finnish 17.23
17) Spanish_Galicia 20.39
18) Spanish_Cataluna 20.43
19) Serbian 20.58
20) Polish 21.32

1) 51.7% Swedish + 48.3% Southeast_English @ 2.76
2) 56.4% Swedish + 43.6% Southwest_English @ 2.98
3) 85.1% Swedish + 14.9% Spanish_Aragon @ 3.03
4) 80.5% Orcadian + 19.5% Hungarian @ 3.03
5) 84.7% Swedish + 15.3% Spanish_Valencia @ 3.07
6) 83.8% Swedish + 16.2% Spanish_Murcia @ 3.09
7) 82.2% Swedish + 17.8% Spanish_Cataluna @ 3.1
8) 85.1% Swedish + 14.9% Spanish_Castilla_La_Mancha @ 3.17
9) 83.3% Swedish + 16.7% Spanish_Castilla_Y_Leon @ 3.2
10) 87.7% Swedish + 12.3% French_Basque @ 3.24
11) 81.8% Orcadian + 18.2% Austrian @ 3.26
12) 86% Swedish + 14% Spanish_Andalucia @ 3.27
13) 51.8% Swedish + 48.2% Irish @ 3.27
14) 74.5% Swedish + 25.5% French @ 3.32
15) 84.5% Swedish + 15.5% Spanish_Extremadura @ 3.35
16) 88.5% Orcadian + 11.5% Bulgarian @ 3.35
17) 86.1% Orcadian + 13.9% Ukrainian_West @ 3.35
18) 84.8% Swedish + 15.2% Spanish_Cantabria @ 3.38
19) 55.5% Norwegian + 44.5% Southeast_English @ 3.39
20) 87.3% Orcadian + 12.7% Romanian @ 3.39

Anglecynn
10-08-2013, 01:01 AM
Paternal Grandmother's results:

1) North_Sea 36.95
2) Atlantic 29.05
3) West_Med 11.56
4) Baltic 9.14
5) Eastern_Euro 8.17
6) West_Asian 2.63
7) Red_Sea 1.27
8) Southeast_Asian 1.18
9) East_Med 0.05

1) Southwest_English 2.76
2) Southeast_English 4.04
3) West_Scottish 5.06
4) Irish 5.13
5) Danish 5.38
6) Dutch 5.56
7) Orcadian 5.88
8) German 7.64
9) Norwegian 8.72
10) Swedish 10.41
11) French 10.77
12) North_Swedish 13.23
13) Spanish_Cataluna 17.92
14) Spanish_Galicia 18
15) Southwest_Finnish 18.03
16) Austrian 18.87
17) Spanish_Castilla_Y_Leon 19.13
18) Portuguese 19.15
19) Hungarian 19.39
20) Spanish_Cantabria 19.9

1) 84.4% Southwest_English + 15.6% Orcadian @ 2.58
2) 83.2% Orcadian + 16.8% French_Basque @ 2.64
3) 99.4% Southwest_English + 0.6% Dai @ 2.67
4) 99.4% Southwest_English + 0.6% She @ 2.68
5) 99.4% Southwest_English + 0.6% Vietnamese @ 2.68
6) 99.4% Southwest_English + 0.6% Miaozu @ 2.68
7) 99.4% Southwest_English + 0.6% Tujia @ 2.68
8) 99.4% Southwest_English + 0.6% Lahu @ 2.69
9) 99.4% Southwest_English + 0.6% Cambodian @ 2.71
10) 99.4% Southwest_English + 0.6% Yizu @ 2.71
11) 99.4% Southwest_English + 0.6% Naxi @ 2.71
12) 89.8% Southwest_English + 10.2% West_Scottish @ 2.71
13) 94.5% Southwest_English + 5.5% Norwegian @ 2.71
14) 99.5% Southwest_English + 0.5% Malay @ 2.71
15) 99.5% Southwest_English + 0.5% Japanese @ 2.72
16) 99.5% Southwest_English + 0.5% Tu @ 2.72
17) 99.6% Southwest_English + 0.4% Tibeto-Burman_Burmese @ 2.74
18) 99.6% Southwest_English + 0.4% Xibo @ 2.74
19) 99.6% Southwest_English + 0.4% Hezhen @ 2.74
20) 98.1% Southwest_English + 1.9% Swedish @ 2.75

Anglecynn
10-08-2013, 01:02 AM
My Mother's Results:
1) North_Sea 31.18
2) Atlantic 23.94
3) Baltic 14.2
4) West_Med 10.32
5) West_Asian 8.25
6) Eastern_Euro 7.43
7) East_Med 2.42
8) South_Asian 1.25
9) Sub-Saharan 0.54
10) Oceanian 0.48

1) German 4.08
2) Dutch 7.55
3) Southwest_English 8.01
4) Southeast_English 8.64
5) Irish 9.47
6) French 9.52
7) Danish 9.52
8) West_Scottish 10.22
9) Swedish 10.35
10) Norwegian 10.41
11) Orcadian 10.83
12) Hungarian 11.76
13) Austrian 11.94
14) North_Swedish 12.32
15) Southwest_Finnish 14.6
16) Serbian 15.51
17) Spanish_Galicia 16.86
18) Spanish_Cataluna 16.93
19) Finnish 17.27
20) Portuguese 18.01

1) 94.7% German + 5.3% North_Ossetian @ 3.11
2) 95.5% German + 4.5% Abhkasian @ 3.16
3) 94.6% German + 5.4% Balkar @ 3.18
4) 95.3% German + 4.7% Georgian @ 3.21
5) 94.5% German + 5.5% Chechen @ 3.22
6) 94.9% German + 5.1% Adygei @ 3.23
7) 94.6% German + 5.4% Kumyk @ 3.32
8) 95% German + 5% Lezgin @ 3.41
9) 94.9% German + 5.1% Nogay @ 3.53
10) 96.2% German + 3.8% Brahui @ 3.55
11) 96.2% German + 3.8% Makrani @ 3.56
12) 96.2% German + 3.8% Balochi @ 3.56
13) 95.3% German + 4.7% Tadjik @ 3.59
14) 96.2% German + 3.8% Armenian @ 3.59
15) 96.5% German + 3.5% Pathan @ 3.63
16) 96.9% German + 3.1% Sindhi @ 3.65
17) 96.7% German + 3.3% Burusho @ 3.67
18) 95.9% German + 4.1% Turkish @ 3.67
19) 96.7% German + 3.3% Punjabi_Jat @ 3.67
20) 96.5% German + 3.5% Kurdish @ 3.68

Anglecynn
10-08-2013, 01:03 AM
My Aunt's Results (Mother's Sister):

1) North_Sea 34.67
2) Atlantic 24.37
3) Baltic 12.6
4) West_Med 12
5) Eastern_Euro 7.27
6) West_Asian 4.34
7) East_Med 2.01
8) South_Asian 1.8
9) Amerindian 0.64
10) Oceanian 0.31

1) German 4.64
2) Dutch 4.99
3) Southwest_English 5.05
4) Southeast_English 6.31
5) Danish 7.39
6) Irish 7.52
7) Orcadian 7.78
8) Norwegian 7.97
9) West_Scottish 8.03
10) Swedish 8.75
11) French 9.05
12) North_Swedish 11.53
13) Hungarian 14.47
14) Austrian 15.1
15) Southwest_Finnish 15.55
16) Spanish_Galicia 16.42
17) Spanish_Cataluna 16.88
18) Portuguese 17.82
19) Spanish_Castilla_Y_Leon 18.17
20) Finnish 18.34

1) 92% Dutch + 8% Sardinian @ 3.18
2) 70.5% Swedish + 29.5% Spanish_Cantabria @ 3.29
3) 51% Swedish + 49% French @ 3.31
4) 53.8% Norwegian + 46.2% French @ 3.37
5) 69.7% Norwegian + 30.3% Spanish_Cataluna @ 3.44
6) 67.3% Swedish + 32.7% Spanish_Cataluna @ 3.44
7) 79.3% Southwest_English + 20.7% Hungarian @ 3.47
8) 81.8% Dutch + 18.2% Spanish_Galicia @ 3.48
9) 71.3% Norwegian + 28.7% Spanish_Castilla_Y_Leon @ 3.49
10) 85.1% Southwest_English + 14.9% Ukrainian_West @ 3.5
11) 73% Norwegian + 27% Spanish_Cantabria @ 3.53
12) 69.2% Norwegian + 30.8% Spanish_Galicia @ 3.53
13) 86.2% Norwegian + 13.8% Sardinian @ 3.55
14) 70.5% Dutch + 29.5% French @ 3.57
15) 76% Norwegian + 24% Spanish_Andalucia @ 3.57
16) 66.8% Swedish + 33.2% Spanish_Galicia @ 3.59
17) 86.3% Dutch + 13.7% North_Italian @ 3.62
18) 83.6% Dutch + 16.4% Portuguese @ 3.63
19) 71.1% Norwegian + 28.9% Portuguese @ 3.63
20) 85.8% Southwest_English + 14.2% Ukrainian @ 3.63

Telfermagne
10-08-2013, 01:03 AM
Here's what I got with the V2 K15:

Kit Number: M033622

Admix Results (sorted):

# Population Percent
1 North_Sea 37.05
2 Atlantic 26.05
3 West_Med 13.86
4 Baltic 8.31
5 Eastern_Euro 7.88
6 West_Asian 5.65
7 East_Med 1.21


--------------------------------

Least-squares method.

Using 1 population approximation:
1 Southwest_English @ 5.137
2 Southeast_English @ 7.288
3 Dutch @ 7.505
4 Orcadian @ 8.660
5 German @ 8.874
6 Danish @ 9.010
7 West_Scottish @ 9.138
8 Irish @ 9.144
9 Norwegian @ 10.992
10 French @ 11.075
165 iterations.



Using 2 populations approximation:
1 50% Southwest_English +50% Southwest_English @ 5.137
2 50% French +50% Orcadian @ 5.555
3 50% Dutch +50% Southwest_English @ 5.769
4 50% Orcadian +50% Southwest_English @ 6.149
5 50% Southeast_English +50% Southwest_English @ 6.155
6 50% French +50% Norwegian @ 6.398
7 50% German +50% Southwest_English @ 6.455
8 50% Dutch +50% French @ 6.580
9 50% French +50% West_Scottish @ 6.770
10 50% French +50% Southwest_English @ 6.833
13695 iterations.



Using 3 populations approximation:
1 50% Southwest_English +25% French +25% Orcadian @ 5.026
2 50% Southwest_English +25% Southwest_English +25% Southwest_English @ 5.137
3 50% Orcadian +25% Southwest_English +25% Spanish_Galicia @ 5.215
4 50% Southwest_English +25% French +25% Norwegian @ 5.218
5 50% Orcadian +25% French +25% Southwest_English @ 5.233
6 50% Southwest_English +25% Dutch +25% Southwest_English @ 5.274
7 50% Southwest_English +25% Dutch +25% French @ 5.333
8 50% Southwest_English +25% Orcadian +25% Southwest_English @ 5.374
9 50% Orcadian +25% Orcadian +25% Spanish_Galicia @ 5.401
10 50% Orcadian +25% Orcadian +25% Spanish_Cantabria @ 5.425
372233 iterations.



Using 4 populations approximation:
1 French + Orcadian + Southwest_English + Southwest_English @ 5.026
2 Southwest_English + Southwest_English + Southwest_English + Southwest_English @ 5.137
3 Orcadian + Orcadian + Southwest_English + Spanish_Galicia @ 5.215
4 French + Norwegian + Southwest_English + Southwest_English @ 5.218
5 French + Orcadian + Orcadian + Southwest_English @ 5.233
6 Dutch + Southwest_English + Southwest_English + Southwest_English @ 5.274
7 Dutch + French + Orcadian + Southwest_English @ 5.288
8 Dutch + French + Southwest_English + Southwest_English @ 5.333
9 Orcadian + Southwest_English + Southwest_English + Southwest_English @ 5.374
10 Orcadian + Orcadian + Orcadian + Spanish_Galicia @ 5.401
11 Orcadian + Orcadian + Orcadian + Spanish_Cantabria @ 5.425
12 French + Southwest_English + Southwest_English + Southwest_English @ 5.439
13 Norwegian + Orcadian + Southwest_English + Spanish_Galicia @ 5.439
14 Dutch + Orcadian + Orcadian + Spanish_Galicia @ 5.478
15 French + Orcadian + Southeast_English + Southwest_English @ 5.489
16 Norwegian + Orcadian + Orcadian + Spanish_Cantabria @ 5.512
17 Orcadian + Orcadian + Portuguese + Southwest_English @ 5.529
18 Dutch + Orcadian + Southwest_English + Spanish_Galicia @ 5.534
19 Dutch + Orcadian + Orcadian + Spanish_Cantabria @ 5.536
20 French + Norwegian + Orcadian + Southwest_English @ 5.549

1541599 iterations.

Done.

Elapsed time 1.2141 seconds.

Scarlet Ibis
10-08-2013, 01:38 AM
Using 2 populations approximation:
1 50% Southwest_English +50% Southwest_English @ 5.137




First time I've seen this today. You must have fit like a bug in a rug with the English samples he used.

Telfermagne
10-08-2013, 01:50 AM
First time I've seen this today. You must have fit like a bug in a rug with the English samples he used.

I'm wondering if some of those samples are relatives skewing the results.

Humanist
10-08-2013, 03:33 AM
The second Iraqi Mandaean frequently registers low levels of "African" in the various ADMIX runs.

SOUTH IRAQI MANDAEAN 2

Admix Results (sorted):

# Population Percent
1 East_Med 43.26
2 West_Asian 29.38
3 Red_Sea 10.76
4 South_Asian 5.04
5 West_Med 4.15
6 North_Sea 3.05
7 Eastern_Euro 2.93
8 Northeast_African 0.88
9 Amerindian 0.55

Single Population Sharing:

# Population (source) Distance
1 Assyrian 6.07
2 Lebanese_Muslim 10.53
3 Syrian 11.82
4 Armenian 12.15
5 Lebanese_Druze 12.19
6 Lebanese_Christian 12.27
7 Kurdish 12.98
8 Iranian 13.42
9 Samaritan 15.02
10 Jordanian 15.35
11 Turkish 15.73
12 Palestinian 15.88
13 Cyprian 16.1
14 Bedouin 19.81
15 Sephardic_Jewish 23.13
16 Ashkenazi 25.7
17 Egyptian 26.59
18 Kumyk 28.33
19 Yemenite_Jewish 28.51
20 Saudi 29.02

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 87.8% Assyrian + 12.2% Yemenite_Jewish @ 4.63
2 88.8% Assyrian + 11.2% Saudi @ 4.89
3 71.9% Armenian + 28.1% Yemenite_Jewish @ 5.26
4 52.9% Lebanese_Druze + 47.1% Iranian @ 5.38
5 84.8% Assyrian + 15.2% Palestinian @ 5.45
6 80.5% Assyrian + 19.5% Lebanese_Druze @ 5.47
7 52.7% Lebanese_Christian + 47.3% Iranian @ 5.52
8 88.7% Assyrian + 11.3% Bedouin @ 5.57
9 86.2% Assyrian + 13.8% Jordanian @ 5.62
10 84.3% Assyrian + 15.7% Lebanese_Christian @ 5.72
11 93.7% Assyrian + 6.3% Egyptian @ 5.81
12 52% Lebanese_Druze + 48% Kurdish @ 5.84
13 90% Assyrian + 10% Samaritan @ 5.87
14 51.8% Lebanese_Christian + 48.2% Kurdish @ 5.88
15 88.2% Assyrian + 11.8% Syrian @ 5.91
16 98% Assyrian + 2% Ethiopian_Tigray @ 5.94
17 98.2% Assyrian + 1.8% Ethiopian_Amhara @ 5.95
18 99% Assyrian + 1% Ethiopian_Oromo @ 6.03
19 99.1% Assyrian + 0.9% Somali @ 6.03
20 99.3% Assyrian + 0.7% Ethiopian_Wolayta @ 6.04

Biloo
10-08-2013, 05:00 PM
My mother results ( She is Kabyle)

Admix Results (sorted):

# Population Percent
1 East_Med 30.49
2 West_Med 21.37
3 Atlantic 14.59
4 Red_Sea 13.32
5 Northeast_African 9.71
6 Sub-Saharan 9.05
7 Southeast_Asian 1.47


--------------------------------

Least-squares method.

Using 1 population approximation:
1 Algerian @ 9.703
2 Mozabite_Berber @ 9.748
3 Moroccan @ 11.796
4 Sephardic_Jewish @ 20.319
5 Egyptian @ 20.574
6 Ashkenazi @ 24.165
7 Bedouin @ 25.923
8 Tuscan @ 26.998
9 Jordanian @ 27.285
10 Cyprian @ 27.707
165 iterations.



Using 2 populations approximation:
1 50% Algerian +50% Mozabite_Berber @ 9.283
2 50% Mozabite_Berber +50% Sephardic_Jewish @ 9.464
3 50% Algerian +50% Algerian @ 9.703
4 50% Mozabite_Berber +50% Mozabite_Berber @ 9.748
5 50% Egyptian +50% Mozabite_Berber @ 10.253
6 50% Moroccan +50% Sephardic_Jewish @ 10.278
7 50% Algerian +50% Moroccan @ 10.433
8 50% Moroccan +50% Mozabite_Berber @ 10.550
9 50% Algerian +50% Sephardic_Jewish @ 11.045
10 50% Egyptian +50% Moroccan @ 11.714
13695 iterations.



Using 3 populations approximation:
1 50% Mozabite_Berber +25% Mozabite_Berber +25% Sephardic_Jewish @ 7.155
2 50% Mozabite_Berber +25% Sardinian +25% Yemenite_Jewish @ 7.272
3 50% Mozabite_Berber +25% Mozabite_Berber +25% Palestinian @ 7.329
4 50% Mozabite_Berber +25% Algerian +25% Sephardic_Jewish @ 7.415
5 50% Mozabite_Berber +25% Mozabite_Berber +25% Samaritan @ 7.441
6 50% Egyptian +25% Mozabite_Berber +25% Sardinian @ 7.456
7 50% Mozabite_Berber +25% Lebanese_Druze +25% Mozabite_Berber @ 7.520
8 50% Mozabite_Berber +25% Moroccan +25% Sephardic_Jewish @ 7.605
9 50% Mozabite_Berber +25% Cyprian +25% Mozabite_Berber @ 7.677
10 50% Mozabite_Berber +25% Lebanese_Christian +25% Mozabite_Berber @ 7.838
292085 iterations.



Using 4 populations approximation:
1 Mozabite_Berber + Mozabite_Berber + Mozabite_Berber + Sephardic_Jewish @ 7.155
2 Mozabite_Berber + Mozabite_Berber + Sardinian + Yemenite_Jewish @ 7.272
3 Mozabite_Berber + Mozabite_Berber + Mozabite_Berber + Palestinian @ 7.329
4 Algerian + Mozabite_Berber + Mozabite_Berber + Sephardic_Jewish @ 7.415
5 Mozabite_Berber + Mozabite_Berber + Mozabite_Berber + Samaritan @ 7.441
6 Egyptian + Egyptian + Mozabite_Berber + Sardinian @ 7.456
7 Lebanese_Druze + Mozabite_Berber + Mozabite_Berber + Mozabite_Berber @ 7.520
8 Moroccan + Mozabite_Berber + Mozabite_Berber + Sephardic_Jewish @ 7.605
9 Cyprian + Mozabite_Berber + Mozabite_Berber + Mozabite_Berber @ 7.677
10 Algerian + Mozabite_Berber + Sardinian + Yemenite_Jewish @ 7.789
11 Lebanese_Christian + Mozabite_Berber + Mozabite_Berber + Mozabite_Berber @ 7.838
12 Egyptian + Mozabite_Berber + Mozabite_Berber + Mozabite_Berber @ 7.846
13 Algerian + Algerian + Mozabite_Berber + Sephardic_Jewish @ 7.936
14 Algerian + Moroccan + Mozabite_Berber + Sephardic_Jewish @ 7.952
15 Jordanian + Mozabite_Berber + Mozabite_Berber + Mozabite_Berber @ 7.986
16 Moroccan + Mozabite_Berber + Mozabite_Berber + Palestinian @ 7.987
17 Mozabite_Berber + Mozabite_Berber + Spanish_Andalucia + Yemenite_Jewish @ 8.020
18 Lebanese_Druze + Moroccan + Mozabite_Berber + Mozabite_Berber @ 8.048
19 Algerian + Mozabite_Berber + Mozabite_Berber + Palestinian @ 8.085
20 Moroccan + Mozabite_Berber + Sardinian + Yemenite_Jewish @ 8.086



My father's results (1/2 West Anatolian Turk 1/2 Algerian from Algiers)


Admix Results (sorted):

# Population Percent
1 East_Med 24.37
2 West_Med 16.79
3 North_Sea 13.11
4 Red_Sea 8.99
5 Atlantic 8.60
6 Northeast_African 8.37
7 West_Asian 8.36
8 Sub-Saharan 4.03
9 Siberian 2.74
10 Eastern_Euro 1.83
11 Amerindian 1.14
12 Baltic 0.86
13 Southeast_Asian 0.83


--------------------------------

Least-squares method.

Using 1 population approximation:
1 Ashkenazi @ 12.565
2 Algerian @ 16.051
3 Sephardic_Jewish @ 16.672
4 Tuscan @ 17.325
5 Greek @ 19.041
6 Moroccan @ 19.402
7 Mozabite_Berber @ 19.903
8 North_Italian @ 22.582
9 Egyptian @ 23.768
10 Bulgarian @ 23.970
165 iterations.



Using 2 populations approximation:
1 50% Egyptian +50% Spanish_Galicia @ 8.462
2 50% Algerian +50% Ashkenazi @ 8.566
3 50% Jordanian +50% Spanish_Galicia @ 8.724
4 50% Egyptian +50% Portuguese @ 8.888
5 50% Egyptian +50% North_Italian @ 8.996
6 50% Jordanian +50% Portuguese @ 9.182
7 50% Bedouin +50% Spanish_Galicia @ 9.459
8 50% Bedouin +50% Portuguese @ 9.620
9 50% Ashkenazi +50% Moroccan @ 9.663
10 50% Egyptian +50% Spanish_Extremadura @ 9.820
13695 iterations.



Using 3 populations approximation:
1 50% Algerian +25% Lebanese_Christian +25% Orcadian @ 6.509
2 50% Algerian +25% Assyrian +25% Orcadian @ 6.587
3 50% Algerian +25% Assyrian +25% French @ 6.622
4 50% Algerian +25% Lebanese_Christian +25% Norwegian @ 6.636
5 50% Moroccan +25% Assyrian +25% Orcadian @ 6.651
6 50% Algerian +25% Assyrian +25% Southwest_English @ 6.670
7 50% Algerian +25% Dutch +25% Lebanese_Christian @ 6.689
8 50% Algerian +25% Assyrian +25% Dutch @ 6.733
9 50% Moroccan +25% Lebanese_Druze +25% Orcadian @ 6.786
10 50% Algerian +25% Lebanese_Christian +25% Southwest_English @ 6.789
549573 iterations.



Using 4 populations approximation:
1 Algerian + Assyrian + Moroccan + Orcadian @ 6.470
2 Algerian + Algerian + Lebanese_Christian + Orcadian @ 6.509
3 Algerian + Lebanese_Christian + Moroccan + Orcadian @ 6.526
4 Algerian + Algerian + Assyrian + Orcadian @ 6.587
5 Algerian + Lebanese_Christian + Moroccan + Norwegian @ 6.615
6 Algerian + Algerian + Assyrian + French @ 6.622
7 Algerian + Algerian + Lebanese_Christian + Norwegian @ 6.636
8 Assyrian + Moroccan + Moroccan + Orcadian @ 6.651
9 Algerian + Assyrian + Moroccan + Norwegian @ 6.661
10 Algerian + Algerian + Assyrian + Southwest_English @ 6.670
11 Algerian + Algerian + Dutch + Lebanese_Christian @ 6.689
12 Algerian + Assyrian + Dutch + Moroccan @ 6.699
13 Algerian + Algerian + Assyrian + Dutch @ 6.733
14 Algerian + Lebanese_Druze + Moroccan + Orcadian @ 6.741
15 Algerian + Assyrian + Moroccan + Southwest_English @ 6.764
16 Algerian + Dutch + Lebanese_Christian + Moroccan @ 6.784
17 Lebanese_Druze + Moroccan + Moroccan + Orcadian @ 6.786
18 Algerian + Algerian + Lebanese_Christian + Southwest_English @ 6.789
19 Assyrian + Moroccan + Moroccan + Norwegian @ 6.801
20 Algerian + Algerian + Assyrian + Norwegian @ 6.811

J Man
10-10-2013, 02:55 AM
My results. :)

Population
North_Sea 31.10%
Atlantic 20.43%
Baltic 10.15%
Eastern_Euro 12.53%
West_Med 7.55%
West_Asian 4.79%
East_Med 7.85%
Red_Sea 1.47%
South_Asian 1.06%
Southeast_Asian 0.21%
Siberian 1.01%
Amerindian 0.91%
Oceanian 0.96%
Northeast_African -
Sub-Saharan -

J Man
10-10-2013, 02:57 AM
I'm wondering if some of those samples are relatives skewing the results.

I highly doubt it. I am pretty sure Polako always checks for relatives before he creates a calculator like this.

Scarlet Ibis
10-10-2013, 03:28 AM
I highly doubt it. I am pretty sure Polako always checks for relatives before he creates a calculator like this.

I could be wrong, but I think he meant some of the reference samples could be related to him, which Polako would have no way of knowing. It's probably something else, but hey, anything is possible.

Just as an aside, I actually came to remember that I DID see someone else of mixed Euro ancestry (the user "Pure Evil") get super English Oracle-4 results with Eurogenes calculators on Gedmatch before. Although these were from JTest, and EUTest. http://www.anthrogenica.com/showthread.php?509-Oracle-4-on-Gedmatch&p=3384&viewfull=1#post3384

FaerieQueene
10-10-2013, 07:48 AM
Eurogenes EUtest V2 K15 Oracle results:

Admix Results (sorted):

# Population Percent
1 East_Med 26.43
2 North_Sea 17.82
3 Atlantic 16.96
4 West_Med 11.09
5 West_Asian 10.5
6 Red_Sea 7.52
7 Eastern_Euro 4.99
8 Northeast_African 1.81
9 South_Asian 1.28
10 Baltic 0.51
11 Sub-Saharan 0.45
12 Amerindian 0.38
13 Oceanian 0.25

Single Population Sharing:

# Population (source) Distance
1 Ashkenazi 11.02
2 Tuscan 11.94
3 Sephardic_Jewish 14.3
4 Greek 14.98
5 North_Italian 16.37
6 Bulgarian 18.34
7 Romanian 18.58
8 Serbian 19.57
9 Spanish_Extremadura 20.66
10 Portuguese 20.92
11 Spanish_Murcia 20.97
12 Spanish_Galicia 21.52
13 Cyprian 21.92
14 Spanish_Cataluna 22.47
15 Spanish_Castilla_Y_Leon 22.55
16 Spanish_Andalucia 22.73
17 Lebanese_Muslim 22.77
18 French 22.94
19 Syrian 23.02
20 Turkish 23.05

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 53.8% Samaritan + 46.2% Southeast_English @ 4.75
2 55.4% Samaritan + 44.6% West_Scottish @ 4.84
3 54.7% Samaritan + 45.3% Danish @ 4.93
4 54.5% French + 45.5% Lebanese_Druze @ 4.98
5 52.6% Lebanese_Christian + 47.4% Southeast_English @ 5.02
6 54.4% Palestinian + 45.6% Southwest_English @ 5.03
7 53.6% Samaritan + 46.4% Southwest_English @ 5.03
8 52.4% Lebanese_Christian + 47.6% Southwest_English @ 5.08
9 52.7% French + 47.3% Palestinian @ 5.15
10 55.2% Samaritan + 44.8% Irish @ 5.19
11 54.2% Lebanese_Christian + 45.8% West_Scottish @ 5.24
12 54.6% Palestinian + 45.4% Southeast_English @ 5.27
13 70.9% Sephardic_Jewish + 29.1% Orcadian @ 5.27
14 55.8% Samaritan + 44.2% Orcadian @ 5.27
15 53.5% Lebanese_Christian + 46.5% Danish @ 5.32
16 54% Lebanese_Christian + 46% Irish @ 5.53
17 52.6% Lebanese_Druze + 47.4% Southwest_English @ 5.56
18 54.8% French + 45.2% Lebanese_Christian @ 5.62
19 70.2% Sephardic_Jewish + 29.8% Danish @ 5.7
20 54.6% Lebanese_Christian + 45.4% Orcadian @ 5.73

Eurogenes EUtest V2 K15 4-Ancestors Oracle

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Ashkenazi @ 13.240
2 Tuscan @ 13.841
3 Sephardic_Jewish @ 16.747
4 Greek @ 17.559
5 North_Italian @ 18.979
6 Bulgarian @ 21.666
7 Romanian @ 22.016
8 Serbian @ 23.225
9 Spanish_Extremadura @ 24.231
10 Portuguese @ 24.537
165 iterations.

Using 2 populations approximation:
1 50% Lebanese_Christian +50% Southeast_English @ 6.456
2 50% Lebanese_Christian +50% Southwest_English @ 6.486
3 50% Samaritan +50% Southeast_English @ 6.587
4 50% French +50% Lebanese_Druze @ 6.595
5 50% French +50% Palestinian @ 6.690
6 50% Samaritan +50% Southwest_English @ 6.799
7 50% Lebanese_Druze +50% Southwest_English @ 6.868
8 50% Danish +50% Lebanese_Christian @ 6.999
9 50% Danish +50% Samaritan @ 7.065
10 50% Palestinian +50% Southwest_English @ 7.084
13695 iterations.

Using 3 populations approximation:
1 50% Lebanese_Druze +25% Orcadian +25% Spanish_Extremadura @ 5.541
2 50% Lebanese_Druze +25% Orcadian +25% Spanish_Castilla_La_Mancha @ 5.581
3 50% Lebanese_Druze +25% Spanish_Extremadura +25% West_Scottish @ 5.668
4 50% Lebanese_Druze +25% Orcadian +25% Spanish_Cantabria @ 5.685
5 50% Lebanese_Druze +25% Orcadian +25% Spanish_Murcia @ 5.712
6 50% Lebanese_Druze +25% Orcadian +25% Spanish_Aragon @ 5.738
7 50% Lebanese_Druze +25% Danish +25% Spanish_Extremadura @ 5.772
8 50% Lebanese_Druze +25% Portuguese +25% West_Scottish @ 5.811
9 50% Lebanese_Druze +25% Orcadian +25% Portuguese @ 5.821
10 50% Lebanese_Druze +25% Spanish_Galicia +25% West_Scottish @ 5.852
484621 iterations.

Using 4 populations approximation:
1 Lebanese_Druze + Orcadian + Palestinian + Spanish_Extremadura @ 5.174
2 Lebanese_Druze + Orcadian + Palestinian + Spanish_Castilla_La_Mancha @ 5.208
3 Lebanese_Druze + Orcadian + Palestinian + Spanish_Murcia @ 5.211
4 Lebanese_Druze + Palestinian + Spanish_Extremadura + West_Scottish @ 5.365
5 Jordanian + Lebanese_Druze + Orcadian + Spanish_Murcia @ 5.390
6 Jordanian + Lebanese_Druze + Orcadian + Spanish_Extremadura @ 5.398
7 Lebanese_Druze + Orcadian + Palestinian + Spanish_Aragon @ 5.406
8 Lebanese_Druze + Orcadian + Palestinian + Portuguese @ 5.433
9 Jordanian + Lebanese_Druze + Orcadian + Spanish_Castilla_La_Mancha @ 5.441
10 Danish + Lebanese_Druze + Palestinian + Spanish_Extremadura @ 5.445
11 Lebanese_Druze + Palestinian + Spanish_Murcia + West_Scottish @ 5.455
12 Lebanese_Druze + Orcadian + Palestinian + Spanish_Cantabria @ 5.459
13 Lebanese_Christian + Orcadian + Palestinian + Spanish_Murcia @ 5.470
14 Lebanese_Druze + Palestinian + Portuguese + West_Scottish @ 5.478
15 Lebanese_Druze + Orcadian + Palestinian + Spanish_Cataluna @ 5.504
16 Danish + Lebanese_Druze + Palestinian + Spanish_Murcia @ 5.519
17 Lebanese_Christian + Lebanese_Druze + Orcadian + Spanish_Extremadura @ 5.528
18 Lebanese_Druze + Lebanese_Druze + Orcadian + Spanish_Extremadura @ 5.541
19 Jordanian + Lebanese_Druze + Spanish_Extremadura + West_Scottish @ 5.543
20 Lebanese_Druze + Orcadian + Samaritan + Spanish_Extremadura @ 5.544

1297683 iterations.

Done.

Elapsed time 1.2031 seconds.

Eurogenes EUtest V2 K15 Oracle-x Population Fitting

Pct. Calc. Option 1

1 Orcadian 25.97%
2 Lebanese_Druze 23.53%
3 Spanish_Extremadura 16.20%
4 Yemenite_Jewish 12.62%
5 Spanish_Murcia 10.19%
6 Armenian 8.94%
7 Sephardic_Jewish 2.55%
8 Algerian 0.00%
9 Ashkenazi 0.00%
10 West_Scottish 0.00%

Pct. Calc. Option 2

0 Unable to determine 0.01%
1 Ashkenazi 47.50%
2 West_Scottish 14.32%
3 Yemenite_Jewish 8.24%
4 Sephardic_Jewish 7.05%
5 Spanish_Murcia 6.70%
6 Southeast_English 4.94%
7 Lebanese_Druze 4.52%
8 Orcadian 3.63%
9 Palestinian 2.02%
10 Jordanian 1.08%

FaerieQueene
10-10-2013, 07:52 AM
Eurogenes EUtest V2 K15 Oracle results:

Admix Results (sorted):

# Population Percent
1 East_Med 46.63
2 West_Asian 17.03
3 Red_Sea 14.61
4 West_Med 10.64
5 Atlantic 7.44
6 Northeast_African 3.02
7 South_Asian 0.63

Single Population Sharing:

# Population (source) Distance
1 Samaritan 4.94
2 Palestinian 5.91
3 Lebanese_Christian 6.14
4 Lebanese_Druze 8.47
5 Jordanian 8.59
6 Lebanese_Muslim 9.04
7 Syrian 9.23
8 Cyprian 10.65
9 Bedouin 12.38
10 Sephardic_Jewish 15.23
11 Assyrian 16.34
12 Egyptian 17.29
13 Yemenite_Jewish 18.94
14 Saudi 21.5
15 Turkish 21.9
16 Ashkenazi 22.02
17 Armenian 22.92
18 Kurdish 24.66
19 Iranian 25.26
20 Greek 28.43

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 51.8% Palestinian + 48.2% Lebanese_Christian @ 4.14
2 61.3% Samaritan + 38.7% Palestinian @ 4.19
3 65.4% Cyprian + 34.6% Yemenite_Jewish @ 4.29
4 90.8% Samaritan + 9.2% Yemenite_Jewish @ 4.58
5 80.6% Lebanese_Christian + 19.4% Egyptian @ 4.66
6 83.3% Samaritan + 16.7% Jordanian @ 4.73
7 83.1% Samaritan + 16.9% Lebanese_Druze @ 4.73
8 93.9% Samaritan + 6.1% Saudi @ 4.76
9 73.1% Palestinian + 26.9% Cyprian @ 4.76
10 90.5% Samaritan + 9.5% Bedouin @ 4.8
11 93.9% Samaritan + 6.1% Egyptian @ 4.82
12 75.1% Lebanese_Christian + 24.9% Bedouin @ 4.84
13 98.6% Samaritan + 1.4% Ethiopian_Amhara @ 4.87
14 98.6% Samaritan + 1.4% Ethiopian_Tigray @ 4.88
15 90.9% Samaritan + 9.1% Lebanese_Muslim @ 4.89
16 98.7% Samaritan + 1.3% French_Basque @ 4.89
17 99% Samaritan + 1% Ethiopian_Oromo @ 4.9
18 99.1% Samaritan + 0.9% Ethiopian_Wolayta @ 4.9
19 95.8% Samaritan + 4.2% Sephardic_Jewish @ 4.9
20 99.2% Samaritan + 0.8% Somali @ 4.91

Eurogenes EUtest V2 K15 4-Ancestors Oracle

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Samaritan @ 5.799
2 Palestinian @ 6.775
3 Lebanese_Christian @ 6.923
4 Lebanese_Druze @ 9.416
5 Jordanian @ 9.533
6 Lebanese_Muslim @ 10.686
7 Syrian @ 11.110
8 Cyprian @ 12.007
9 Bedouin @ 13.831
10 Sephardic_Jewish @ 17.891
165 iterations.

Using 2 populations approximation:
1 50% Lebanese_Christian +50% Palestinian @ 4.983
2 50% Palestinian +50% Samaritan @ 5.160
3 50% Samaritan +50% Samaritan @ 5.799
4 50% Lebanese_Christian +50% Samaritan @ 5.971
5 50% Lebanese_Druze +50% Palestinian @ 6.139
6 50% Lebanese_Druze +50% Samaritan @ 6.251
7 50% Jordanian +50% Lebanese_Christian @ 6.294
8 50% Jordanian +50% Samaritan @ 6.509
9 50% Cyprian +50% Palestinian @ 6.715
10 50% Palestinian +50% Palestinian @ 6.775
13695 iterations.

Using 3 populations approximation:
1 50% Lebanese_Christian +25% Sephardic_Jewish +25% Yemenite_Jewish @ 4.537
2 50% Cyprian +25% Lebanese_Christian +25% Yemenite_Jewish @ 4.753
3 50% Cyprian +25% Lebanese_Druze +25% Yemenite_Jewish @ 4.754
4 50% Lebanese_Christian +25% Cyprian +25% Yemenite_Jewish @ 4.829
5 50% Palestinian +25% Lebanese_Christian +25% Samaritan @ 4.944
6 50% Lebanese_Christian +25% Palestinian +25% Palestinian @ 4.983
7 50% Palestinian +25% Lebanese_Christian +25% Lebanese_Christian @ 4.983
8 50% Samaritan +25% Lebanese_Druze +25% Palestinian @ 5.045
9 50% Samaritan +25% Lebanese_Christian +25% Palestinian @ 5.061
10 50% Cyprian +25% Samaritan +25% Yemenite_Jewish @ 5.085
218544 iterations.

Using 4 populations approximation:
1 Lebanese_Christian + Lebanese_Christian + Sephardic_Jewish + Yemenite_Jewish @ 4.537
2 Cyprian + Lebanese_Christian + Lebanese_Muslim + Yemenite_Jewish @ 4.613
3 Lebanese_Christian + Lebanese_Druze + Sephardic_Jewish + Yemenite_Jewish @ 4.730
4 Cyprian + Cyprian + Lebanese_Christian + Yemenite_Jewish @ 4.753
5 Cyprian + Cyprian + Lebanese_Druze + Yemenite_Jewish @ 4.754
6 Cyprian + Lebanese_Druze + Lebanese_Muslim + Yemenite_Jewish @ 4.785
7 Cyprian + Lebanese_Muslim + Samaritan + Yemenite_Jewish @ 4.790
8 Cyprian + Lebanese_Christian + Lebanese_Christian + Yemenite_Jewish @ 4.829
9 Cyprian + Lebanese_Christian + Samaritan + Yemenite_Jewish @ 4.928
10 Lebanese_Christian + Palestinian + Palestinian + Samaritan @ 4.944
11 Cyprian + Lebanese_Druze + Samaritan + Yemenite_Jewish @ 4.951
12 Lebanese_Christian + Lebanese_Christian + Palestinian + Palestinian @ 4.983
13 Cyprian + Lebanese_Christian + Lebanese_Druze + Yemenite_Jewish @ 5.025
14 Lebanese_Druze + Palestinian + Samaritan + Samaritan @ 5.045
15 Lebanese_Christian + Lebanese_Muslim + Sephardic_Jewish + Yemenite_Jewish @ 5.052
16 Lebanese_Christian + Palestinian + Samaritan + Samaritan @ 5.061
17 Cyprian + Cyprian + Samaritan + Yemenite_Jewish @ 5.085
18 Cyprian + Cyprian + Palestinian + Yemenite_Jewish @ 5.102
19 Lebanese_Christian + Samaritan + Sephardic_Jewish + Yemenite_Jewish @ 5.103
20 Lebanese_Druze + Samaritan + Sephardic_Jewish + Yemenite_Jewish @ 5.111

506935 iterations.

Done.

Elapsed time 0.5780 seconds.

Eurogenes EUtest V2 K15 Oracle-x Population Fitting

Pct. Calc. Option 1

1 Samaritan 43.13%
2 Lebanese_Druze 20.94%
3 Yemenite_Jewish 16.84%
4 Lebanese_Muslim 15.83%
5 French_Basque 3.26%
6 Mozabite_Berber 0.00%
7 Sephardic_Jewish 0.00%
8 Kurdish 0.00%
9 Turkish 0.00%
10 Cyprian 0.00%

Pct. Calc. Option 2

1 Samaritan 78.79%
2 Lebanese_Druze 7.10%
3 Yemenite_Jewish 5.45%
4 Palestinian 5.08%
5 Lebanese_Muslim 1.62%
6 French_Basque 1.53%
7 Egyptian 0.11%
8 Jordanian 0.11%
9 Kurdish 0.11%
10 Turkish 0.11%

FaerieQueene
10-10-2013, 07:55 AM
Eurogenes EUtest V2 K15 Oracle results:

Admix Results (sorted):

# Population Percent
1 North_Sea 33.24
2 Atlantic 27.07
3 Eastern_Euro 10.67
4 West_Med 8.38
5 Baltic 7.91
6 West_Asian 6.58
7 East_Med 4.13
8 Northeast_African 0.54
9 Amerindian 0.49
10 Red_Sea 0.47
11 South_Asian 0.28
12 Oceanian 0.24

Single Population Sharing:

# Population (source) Distance
1 Southeast_English 5.13
2 German 5.13
3 Southwest_English 5.49
4 Danish 5.76
5 Dutch 5.98
6 Irish 6.7
7 West_Scottish 6.72
8 Orcadian 7.79
9 French 9.34
10 Norwegian 9.4
11 Swedish 10.66
12 North_Swedish 12.22
13 Austrian 14.95
14 Hungarian 15.98
15 Southwest_Finnish 16.15
16 Spanish_Cataluna 17.06
17 Spanish_Galicia 17.43
18 Serbian 18.06
19 Portuguese 18.17
20 Spanish_Castilla_Y_Leon 18.48

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 90.6% Southeast_English + 9.4% Lezgin @ 2.38
2 90.8% Southeast_English + 9.2% Kumyk @ 2.65
3 90.9% Danish + 9.1% Armenian @ 2.74
4 91.3% Southeast_English + 8.7% Chechen @ 2.76
5 91.8% Southeast_English + 8.2% Adygei @ 2.81
6 91.7% Southeast_English + 8.3% Balkar @ 2.87
7 92.6% Southeast_English + 7.4% Georgian @ 2.87
8 92% Southeast_English + 8% Kurdish @ 2.89
9 93.1% Southeast_English + 6.9% Abhkasian @ 2.91
10 89.6% Danish + 10.4% Turkish @ 2.92
11 92.1% Southeast_English + 7.9% Iranian @ 2.94
12 91.5% Danish + 8.5% Georgian @ 2.96
13 92.3% Southeast_English + 7.7% Armenian @ 2.97
14 92.1% Danish + 7.9% Abhkasian @ 3.03
15 91.2% Southeast_English + 8.8% Turkish @ 3.04
16 92.3% Southeast_English + 7.7% North_Ossetian @ 3.07
17 89.4% West_Scottish + 10.6% Armenian @ 3.08
18 91.3% Danish + 8.7% Assyrian @ 3.09
19 90% Danish + 10% Kumyk @ 3.11
20 91% Danish + 9% Kurdish @ 3.11

Eurogenes EUtest V2 K15 4-Ancestors Oracle

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Southeast_English @ 5.674
2 Southwest_English @ 6.120
3 German @ 6.149
4 Danish @ 6.411
5 Dutch @ 6.830
6 West_Scottish @ 7.452
7 Irish @ 7.492
8 Orcadian @ 8.769
9 Norwegian @ 10.780
10 French @ 11.112
165 iterations.

Using 2 populations approximation:
1 50% German +50% Southeast_English @ 4.869
2 50% Danish +50% German @ 5.107
3 50% German +50% Southwest_English @ 5.170
4 50% German +50% West_Scottish @ 5.344
5 50% Danish +50% French @ 5.497
6 50% German +50% Irish @ 5.641
7 50% Dutch +50% Southeast_English @ 5.657
8 50% Southeast_English +50% Southeast_English @ 5.674
9 50% French +50% Orcadian @ 5.676
10 50% French +50% West_Scottish @ 5.679
13695 iterations.

Using 3 populations approximation:
1 50% Danish +25% French +25% German @ 4.622
2 50% West_Scottish +25% Serbian +25% West_Scottish @ 4.714
3 50% West_Scottish +25% Serbian +25% Southeast_English @ 4.722
4 50% West_Scottish +25% Orcadian +25% Serbian @ 4.739
5 50% Danish +25% Danish +25% French @ 4.758
6 50% West_Scottish +25% Serbian +25% Southwest_English @ 4.788
7 50% Danish +25% Dutch +25% French @ 4.796
8 50% West_Scottish +25% Danish +25% Serbian @ 4.796
9 50% Danish +25% French +25% Southeast_English @ 4.800
10 50% Southeast_English +25% Orcadian +25% Serbian @ 4.817
367266 iterations.

Using 4 populations approximation:
1 Danish + Danish + French + German @ 4.622
2 Orcadian + Serbian + Southeast_English + West_Scottish @ 4.710
3 Danish + French + German + West_Scottish @ 4.713
4 Serbian + West_Scottish + West_Scottish + West_Scottish @ 4.714
5 Serbian + Southeast_English + West_Scottish + West_Scottish @ 4.722
6 Orcadian + Serbian + West_Scottish + West_Scottish @ 4.739
7 Danish + French + German + Orcadian @ 4.744
8 Danish + Danish + Danish + French @ 4.758
9 Danish + French + German + Southeast_English @ 4.787
10 Serbian + Southwest_English + West_Scottish + West_Scottish @ 4.788
11 Danish + Danish + Dutch + French @ 4.796
12 Danish + Serbian + West_Scottish + West_Scottish @ 4.796
13 Danish + Danish + French + Southeast_English @ 4.800
14 Orcadian + Serbian + Southwest_English + West_Scottish @ 4.810
15 Orcadian + Serbian + Southeast_English + Southeast_English @ 4.817
16 Danish + Serbian + Southeast_English + West_Scottish @ 4.835
17 Danish + Dutch + French + Southeast_English @ 4.841
18 French + German + Orcadian + West_Scottish @ 4.851
19 French + German + Orcadian + Southeast_English @ 4.858
20 Danish + Orcadian + Serbian + West_Scottish @ 4.860

1141931 iterations.

Done.

Elapsed time 2.7704 seconds.

Eurogenes EUtest V2 K15 Oracle-x Population Fitting

Pct. Calc. Option 1

1 Southeast_English 87.88%
2 Lezgin 7.75%
3 Chuvash 2.61%
4 Spanish_Extremadura 0.65%
5 Sephardic_Jewish 0.58%
6 Algerian 0.49%
7 Portuguese 0.03%
8 Moroccan 0.01%
9 Ashkenazi 0.00%
10 Iranian 0.00%

Pct. Calc. Option 2

1 Southwest_English 47.18%
2 Southeast_English 30.45%
3 Iranian 5.35%
4 Orcadian 5.02%
5 Chuvash 4.25%
6 North_Swedish 3.09%
7 Lezgin 2.78%
8 French 1.68%
9 Chechen 0.21%
10 Spanish_Cantabria 0.00%

FaerieQueene
10-10-2013, 07:57 AM
This seems to be the most accurate one yet!

I'm scoring less East_Med than before(boo). North-Central_Euro seems to have been replaced with North_Sea, or are they the same?! I'm scoring higher North_Sea than North-Central_Euro, I know North_Sea on Eurogenes K12 peaks in Southern Norway, and North-Central_Euro on EUtest/Jtest peaks in Norwegians, so very Germanic. I'm also scoring higher Atlantic than before. I know that one peaks in French Basque on EUtest/Jtest, but it seems quite Celtic overall based on the other populations it peaks in. West_Med seems about the same for both me and my parents. West_Asian is about the same for me and my mom, but my dad is getting much higher than before. Eastern_Euro is Uralic and Baltic is Slavic, as far as I know. Middle_Eastern has been replaced with Red_Sea, my dad and I are getting much lower of that than on EUtest/Jtest, which is good cause I can't stand that one, East_Med is far superior. I've heard before that Red_Sea is supposedly a hybrid of Southwest_Asian and East_African. I know that the Northeast_African component on Eurogenes K13 peaks in Ethiopia Oromo, which is a slightly Berber shifted Horner population. I'm scoring Sub_Saharan and my maw is not, that's strange, she gets it on every other calculator and I'm getting it from her, not my dad; the East African is from my dad. Plus, she has 0.4% SSA on 23andme. There must have been a slave or an octoroon passing for for white somewhere in her family tree. The Amerindian is definitely real, my maw and I get it on almost every other calculator(although unlike most people on these forums, there was never any legends of that in our family). I'm scoring way more South_Asian than my parents?! And last but not least, I have no idea where Oceanian is coming from; must definitely be noise.

On the Oracles I seem to be closest with: Ashkenazi, Greek, Italian, and Sephardic; as on most calculators. Mixed Mode and 2 populations seems pretty accurate for me, although it's gets a little hazy with the 3 populations and 4 populations with all the Spanish. But that could just be showing my West Euro.

Which one of you suckers wants to try and beat my dad's East_Med score?! His Red_Sea score is very similar to his South_Bedouin score on McDonald and his Arabian score on Eurogenes K36, which could be showing his 'real Arab blood'; unlike some people claiming it is the 25 or 30 percent Southwest_Asian on other calculators. He is slightly closer to Samaritans than Palestinians, but still closest with Samaritans as all the tests are showing. He's closer to Lebanese_Christian than to Lebanese_Druze and Lebanese_Muslim, showing his Christian background; also showing my theory that Palestinian Christians are quite genetically close to Lebanese Christians. There's also lots of Cypriot in his Oracle results which corresponds with the fact that he scored lots of Cypriot on McDonald. He's getting way more Atlantic than before and he's still getting French_Basque in the Oracle-X, so that could be Crusader admixture.

My mom is scoring way higher North_Sea and Atlantic than before! She's closest to English, German, Danish, Dutch, Irish, Scottish, and Orcadian in that order. So slightly more Germanic than Celtic, which is a little disappointing because I thought she would be a little more Celtic than Germanic.

Overall I'm very happy with these results.

FaerieQueene
10-10-2013, 10:00 AM
FaerieQueene:

Jtest:

East_Med 25.27%
North-Central_Euro 15.03%
Atlantic 13.84%
Middle_Eastern 12.27%
West_Med 11.56%
West_Asian 7.29%
Ashkenazi 6.78%
East_Euro 3.09%
South_Baltic 2.95%
South_Asian 1.05%
West_African 0.53%
East_African 0.33%

EUtest:

East_Med 27.02%
North-Central_Euro 15.52%
Atlantic 14.70%
Middle_Eastern 13.42%
West_Med 12.37%
West_Asian 8.31%
East_Euro 3.55%
South_Baltic 3.07%
South_Asian 1.08%
West_African 0.48%
East_African 0.47%

FaerieQueene's Maw:

Jtest:

Atlantic 25.62%
North-Central_Euro 23.24%
East_Euro 12.33%
West_Med 11.25%
South_Baltic 10.63%
West_Asian 6.52%
Ashkenazi 6.19%
East_Med 3.32%
South_Asian 0.37%
West_African 0.30%
East_African 0.22%

EUtest:

Atlantic 26.49%
North-Central_Euro 23.68%
East_Euro 12.77%
West_Med 12.22%
South_Baltic 10.72%
West_Asian 7.58%
East_Med 5.46%
South_Asian 0.46%
West_African 0.31%
East_African 0.29%

FaerieQueene's Dad:

Jtest:

East_Med 42.40%
Middle_Eastern 25.81%
West_Asian 11.34%
West_Med 9.53%
Ashkenazi 7.98%
Atlantic 2.14%
East_African 0.80%

EUtest:

East_Med 44.54%
Middle_Eastern 27.22%
West_Asian 12.77%
West_Med 10.60%
Atlantic 3.58%
East_African 0.89%
North-Cental_Euro 0.40%

Telfermagne
10-10-2013, 01:15 PM
I could be wrong, but I think he meant some of the reference samples could be related to him, which Polako would have no way of knowing. It's probably something else, but hey, anything is possible.

Just as an aside, I actually came to remember that I DID see someone else of mixed Euro ancestry (the user "Pure Evil") get super English Oracle-4 results with Eurogenes calculators on Gedmatch before. Although these were from JTest, and EUTest. http://www.anthrogenica.com/showthread.php?509-Oracle-4-on-Gedmatch&p=3384&viewfull=1#post3384

I was thrown off by the genetic distance jump in the single mode - from 5.137 with the Southwest English then all the way up to 7.288 for the next closest (Southeast English), that's a range of 2.743 between the first best match and the second best match. This seems like an extreme jump in GD from place 1 to place 2.

The picture looks quite appropriate for past speculations about my ancestry when at the 3 and 4 grandparent level it just seems to amalgamate my continental component into French (to be expected by the design of the calculator). The result being 50% Southwest English, 25% French, and 25% Orcadian with a distance of 5.026 (the best ranked fit out of the approximations).

That's a reasonable representation of a little less than 75% British Islander who intermixed between the English, Ulster-Irish, Ulster-Scots, and Welsh even before coming to America which assists in complicating the creation of precise percentiles for sub-groups. I would wager that the strong fitness with English samples could be attributed in part to my great grandmother as a British-Canadian with 4 gp of English birth (recency seems to correlate with a better chance to fit with current native populations). Then, approximately 25% Continental European chiefly German speaking and then ~2% Portuguese [rumored to be of deeper Sephardic origin, cousins have tested as J-M67+].

I noticed in some of the other approximations that Spanish-Galician came up, even though I have some Iberian descent it's not abundant enough that it'd show up in a 4 way admixture model as standing alone - a similar thing happened for another known British-American (if I recall correctly was a Southron too) and Polako mentioned that it hints at SSA admixture in conjunction with a European ancestry group South of the British Isles which, in my case is accurate given Dr. McDonald's ancestry painting and 23andMe's ancestry composition which estimate about 0.1% SSA admixture (in conjunction with known European ancestry outside of Britain).

ZephyrousMandaru
10-10-2013, 02:45 PM
The second Iraqi Mandaean frequently registers low levels of "African" in the various ADMIX runs.

SOUTH IRAQI MANDAEAN 2

Admix Results (sorted):

# Population Percent
1 East_Med 43.26
2 West_Asian 29.38
3 Red_Sea 10.76
4 South_Asian 5.04
5 West_Med 4.15
6 North_Sea 3.05
7 Eastern_Euro 2.93
8 Northeast_African 0.88
9 Amerindian 0.55

Single Population Sharing:

# Population (source) Distance
1 Assyrian 6.07
2 Lebanese_Muslim 10.53
3 Syrian 11.82
4 Armenian 12.15
5 Lebanese_Druze 12.19
6 Lebanese_Christian 12.27
7 Kurdish 12.98
8 Iranian 13.42
9 Samaritan 15.02
10 Jordanian 15.35
11 Turkish 15.73
12 Palestinian 15.88
13 Cyprian 16.1
14 Bedouin 19.81
15 Sephardic_Jewish 23.13
16 Ashkenazi 25.7
17 Egyptian 26.59
18 Kumyk 28.33
19 Yemenite_Jewish 28.51
20 Saudi 29.02

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 87.8% Assyrian + 12.2% Yemenite_Jewish @ 4.63
2 88.8% Assyrian + 11.2% Saudi @ 4.89
3 71.9% Armenian + 28.1% Yemenite_Jewish @ 5.26
4 52.9% Lebanese_Druze + 47.1% Iranian @ 5.38
5 84.8% Assyrian + 15.2% Palestinian @ 5.45
6 80.5% Assyrian + 19.5% Lebanese_Druze @ 5.47
7 52.7% Lebanese_Christian + 47.3% Iranian @ 5.52
8 88.7% Assyrian + 11.3% Bedouin @ 5.57
9 86.2% Assyrian + 13.8% Jordanian @ 5.62
10 84.3% Assyrian + 15.7% Lebanese_Christian @ 5.72
11 93.7% Assyrian + 6.3% Egyptian @ 5.81
12 52% Lebanese_Druze + 48% Kurdish @ 5.84
13 90% Assyrian + 10% Samaritan @ 5.87
14 51.8% Lebanese_Christian + 48.2% Kurdish @ 5.88
15 88.2% Assyrian + 11.8% Syrian @ 5.91
16 98% Assyrian + 2% Ethiopian_Tigray @ 5.94
17 98.2% Assyrian + 1.8% Ethiopian_Amhara @ 5.95
18 99% Assyrian + 1% Ethiopian_Oromo @ 6.03
19 99.1% Assyrian + 0.9% Somali @ 6.03
20 99.3% Assyrian + 0.7% Ethiopian_Wolayta @ 6.04

Not only does he register African admixture, but the second Iraqi Mandaean is very Southwest Asian shifted compared to the first.

jeanL
10-10-2013, 03:51 PM
Admix Results (sorted):

# Population Percent
1 Atlantic 26.17
2 West_Med 21.32
3 North_Sea 16.96
4 East_Med 12.53
5 Amerindian 3.86
6 Eastern_Euro 3.41
7 Sub-Saharan 3.31
8 Baltic 3.27
9 West_Asian 2.88
10 Red_Sea 2.48
11 Northeast_African 2.43
12 Siberian 1.14
13 Southeast_Asian 0.12
14 Oceanian 0.11

Single Population Sharing:

# Population (source) Distance
1 Spanish_Extremadura 6.83
2 Spanish_Murcia 6.92
3 Portuguese 7.37
4 Spanish_Andalucia 8.07
5 Spanish_Castilla_Y_Leon 8.39
6 Spanish_Valencia 8.84
7 Spanish_Cataluna 8.97
8 North_Italian 9.03
9 Spanish_Galicia 9.07
10 Spanish_Castilla_La_Mancha 9.07
11 Spanish_Cantabria 10.09
12 Spanish_Aragon 10.68
13 Southwest_French 11.94
14 Tuscan 13.25
15 French 14.61
16 Serbian 19.33
17 Romanian 19.87
18 French_Basque 20.02
19 Bulgarian 20.07
20 Greek 20.24

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 94.7% Spanish_Extremadura + 5.3% North_Amerindian @ 4.69
2 95.5% Spanish_Extremadura + 4.5% Mayan @ 4.81
3 95.7% Spanish_Extremadura + 4.3% Pima @ 4.84
4 94.8% Spanish_Murcia + 5.2% North_Amerindian @ 4.87
5 95.5% Spanish_Murcia + 4.5% Mayan @ 4.92
6 95.7% Spanish_Murcia + 4.3% Pima @ 4.97
7 94.1% Spanish_Extremadura + 5.9% East_Greenlander @ 5.08
8 93.6% Spanish_Extremadura + 6.4% West_Greenlander @ 5.16
9 94.3% Spanish_Murcia + 5.7% East_Greenlander @ 5.31
10 86.4% Spanish_Murcia + 13.6% Mozabite_Berber @ 5.33
11 93.7% Spanish_Murcia + 6.3% West_Greenlander @ 5.33
12 86.5% Spanish_Murcia + 13.5% Algerian @ 5.39
13 94.8% Portuguese + 5.2% North_Amerindian @ 5.49
14 95.7% Spanish_Murcia + 4.3% Mbuti_Pygmy @ 5.5
15 95.8% Spanish_Murcia + 4.2% Bantu_N.E. @ 5.51
16 95.8% Spanish_Murcia + 4.2% Luhya @ 5.52
17 95.4% Spanish_Murcia + 4.6% San @ 5.53
18 95.5% Portuguese + 4.5% Mayan @ 5.55
19 96.1% Spanish_Murcia + 3.9% Biaka_Pygmy @ 5.55
20 87.5% Spanish_Murcia + 12.5% Moroccan @ 5.56

Oracle-4:

Least-squares method.

Using 1 population approximation:
1 Spanish_Extremadura @ 6.615
2 Spanish_Murcia @ 6.798
3 Portuguese @ 7.392
4 Spanish_Andalucia @ 8.071
5 Spanish_Castilla_Y_Leon @ 8.665
6 Spanish_Valencia @ 9.046
7 North_Italian @ 9.085
8 Spanish_Cataluna @ 9.188
9 Spanish_Castilla_La_Mancha @ 9.380
10 Spanish_Galicia @ 9.554
165 iterations.



Using 2 populations approximation:
1 50% North_Italian +50% Spanish_Murcia @ 6.389
2 50% North_Italian +50% Spanish_Extremadura @ 6.502
3 50% Spanish_Extremadura +50% Spanish_Murcia @ 6.574
4 50% Portuguese +50% Spanish_Andalucia @ 6.579
5 50% Spanish_Extremadura +50% Spanish_Extremadura @ 6.615
6 50% Spanish_Andalucia +50% Spanish_Extremadura @ 6.730
7 50% Portuguese +50% Spanish_Murcia @ 6.760
8 50% Spanish_Murcia +50% Spanish_Murcia @ 6.798
9 50% Portuguese +50% Spanish_Extremadura @ 6.837
10 50% North_Italian +50% Spanish_Castilla_La_Mancha @ 6.839
13695 iterations.



Using 3 populations approximation:
1 50% Spanish_Valencia +25% French +25% Mozabite_Berber @ 5.549
2 50% Spanish_Cataluna +25% Algerian +25% Spanish_Aragon @ 5.550
3 50% Spanish_Cataluna +25% Mozabite_Berber +25% Spanish_Cataluna @ 5.585
4 50% Spanish_Andalucia +25% Mozabite_Berber +25% Southwest_English @ 5.597
5 50% Spanish_Cataluna +25% Algerian +25% Spanish_Cantabria @ 5.607
6 50% Spanish_Aragon +25% Algerian +25% French @ 5.608
7 50% Spanish_Cataluna +25% Mozabite_Berber +25% Spanish_Valencia @ 5.624
8 50% Spanish_Cataluna +25% Mozabite_Berber +25% Spanish_Cantabria @ 5.633
9 50% Spanish_Andalucia +25% Mozabite_Berber +25% Southeast_English @ 5.652
10 50% Spanish_Cataluna +25% Algerian +25% Southwest_French @ 5.661
469264 iterations.



Using 4 populations approximation:
1 Algerian + French + French_Basque + North_Italian @ 5.534
2 French + Mozabite_Berber + Spanish_Aragon + Spanish_Valencia @ 5.547
3 French + Mozabite_Berber + Spanish_Valencia + Spanish_Valencia @ 5.549
4 Algerian + Spanish_Aragon + Spanish_Cataluna + Spanish_Cataluna @ 5.550
5 Algerian + French + French_Basque + Spanish_Murcia @ 5.568
6 Algerian + Spanish_Cantabria + Spanish_Cataluna + Spanish_Valencia @ 5.574
7 Mozabite_Berber + Spanish_Cataluna + Spanish_Cataluna + Spanish_Cataluna @ 5.585
8 Mozabite_Berber + Southwest_English + Spanish_Andalucia + Spanish_Andalucia @ 5.597
9 Algerian + Spanish_Cantabria + Spanish_Cataluna + Spanish_Cataluna @ 5.607
10 French + French_Basque + Mozabite_Berber + North_Italian @ 5.608
11 Algerian + French + Spanish_Aragon + Spanish_Aragon @ 5.608
12 Algerian + French + Spanish_Aragon + Spanish_Valencia @ 5.609
13 French + Mozabite_Berber + Spanish_Castilla_La_Mancha + Spanish_Valencia @ 5.623
14 Mozabite_Berber + Spanish_Cataluna + Spanish_Cataluna + Spanish_Valencia @ 5.624
15 Mozabite_Berber + Southwest_English + Spanish_Andalucia + Spanish_Valencia @ 5.626
16 French + Mozabite_Berber + Spanish_Cantabria + Spanish_Valencia @ 5.628
17 French + Mozabite_Berber + Spanish_Aragon + Spanish_Murcia @ 5.629
18 Mozabite_Berber + Spanish_Cantabria + Spanish_Cataluna + Spanish_Cataluna @ 5.633
19 Algerian + Spanish_Aragon + Spanish_Cantabria + Spanish_Cataluna @ 5.645
20 Mozabite_Berber + Southeast_English + Spanish_Andalucia + Spanish_Andalucia @ 5.652

jeanL
10-10-2013, 03:56 PM
Admix Results (sorted):

# Population Percent
1 Atlantic 29.83
2 North_Sea 20.66
3 West_Med 20.28
4 East_Med 14.01
5 Sub-Saharan 4.35
6 Baltic 3.32
7 Red_Sea 2.2
8 Amerindian 1.67
9 West_Asian 1.04
10 Eastern_Euro 0.86
11 Oceanian 0.75
12 Northeast_African 0.74
13 Southeast_Asian 0.3

Single Population Sharing:

# Population (source) Distance
1 Spanish_Murcia 5.95
2 Spanish_Extremadura 6.83
3 Spanish_Castilla_Y_Leon 7.49
4 Portuguese 7.51
5 Spanish_Cataluna 7.75
6 Spanish_Valencia 7.87
7 Spanish_Andalucia 8.47
8 Spanish_Castilla_La_Mancha 8.58
9 Spanish_Galicia 9.25
10 Spanish_Aragon 9.33
11 Spanish_Cantabria 9.59
12 North_Italian 10.82
13 Southwest_French 11.61
14 French 13.75
15 Tuscan 15.42
16 French_Basque 18.28
17 Southwest_English 20.84
18 Serbian 21.46
19 German 21.61
20 Southeast_English 21.76

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 96.6% Spanish_Murcia + 3.4% Yoruban @ 4.27
2 96.4% Spanish_Murcia + 3.6% Mandenka @ 4.34
3 96.4% Spanish_Murcia + 3.6% Bantu_S.W. @ 4.4
4 96.4% Spanish_Murcia + 3.6% Bantu_S.E. @ 4.44
5 96.3% Spanish_Murcia + 3.7% Biaka_Pygmy @ 4.53
6 96.3% Spanish_Murcia + 3.7% Luhya @ 4.66
7 96.3% Spanish_Murcia + 3.7% Bantu_N.E. @ 4.68
8 96.4% Spanish_Murcia + 3.6% Mbuti_Pygmy @ 4.8
9 96.6% Spanish_Murcia + 3.4% San @ 5.11
10 97.2% Spanish_Murcia + 2.8% Sudanese @ 5.41
11 97.5% Spanish_Murcia + 2.5% Ethiopian_Anuak @ 5.54
12 97.7% Spanish_Murcia + 2.3% Sandawe @ 5.67
13 94.6% Spanish_Murcia + 5.4% Mozabite_Berber @ 5.69
14 94.8% Spanish_Murcia + 5.2% Algerian @ 5.71
15 96.9% Spanish_Extremadura + 3.1% Yoruban @ 5.73
16 96.8% Spanish_Extremadura + 3.2% Mandenka @ 5.77
17 98.2% Spanish_Murcia + 1.8% Maasai @ 5.78
18 98.4% Spanish_Murcia + 1.6% Hadza @ 5.79
19 98.8% Spanish_Murcia + 1.2% Mayan @ 5.81
20 96.8% Spanish_Extremadura + 3.2% Bantu_S.W. @ 5.81

J Man
10-10-2013, 04:52 PM
I could be wrong, but I think he meant some of the reference samples could be related to him, which Polako would have no way of knowing. It's probably something else, but hey, anything is possible.

Just as an aside, I actually came to remember that I DID see someone else of mixed Euro ancestry (the user "Pure Evil") get super English Oracle-4 results with Eurogenes calculators on Gedmatch before. Although these were from JTest, and EUTest. http://www.anthrogenica.com/showthread.php?509-Oracle-4-on-Gedmatch&p=3384&viewfull=1#post3384

None of the references that were used to create this calculator were related to each other. Why would he not check this? Polako knows exactly what he is doing when he creates these things. He is actually very good at it. I asked him myself about this issue and here is his reply to me below.

''There aren't any relatives or even samples that share inflated IBD in the reference dataset.''

Scarlet Ibis
10-10-2013, 05:29 PM
None of the references that were used to create this calculator were related to each other. Why would he not check this? Polako knows exactly what he is doing when he creates these things. He is actually very good at it. I asked him myself about this issue and here is his reply to me below.

''There aren't any relatives or even samples that share inflated IBD in the reference dataset.''

Why are you getting so defensive? You're obviously still misunderstanding me, so I'll repeat myself. Telfermagne is not talking about the samples being related to each other. Telfermagne is talking about the possibility that at least one of them could be related to TELFERMAGNE.

J Man
10-10-2013, 05:48 PM
Why are you getting so defensive? You're obviously still misunderstanding me, so I'll repeat myself. Telfermagne is not talking about the samples being related to each other. Telfermagne is talking about the possibility that at least one of them could be related to TELFERMAGNE.

Ohhh okay sorry I must have misunderstood you then. Yes maybe one of them is I suppose that could be a possibility. Either way he should ask Polako himself about it.

Humanist
10-12-2013, 08:06 AM
I was going to post this in the linguistics section, but this thread is probably the most appropriate.

The SPA points for Assyrians and Mandaeans are from a Eurogenes run from mid 2012, excluding Indians and Pakistanis. In my opinion, the most informative for West Asians of all the runs. Even though it placed us in Babylonia (nearly precisely Babylon), rather than Assyria, for various reasons stated elsewhere, I believe this makes perfect sense.

From a paper by Chuck Haberl (see this post (http://www.anthrogenica.com/showthread.php?274-Lexical-Comparison-of-vernacular-Syriac-(-quot-Sureth-quot-)-Akkadian-and-other-languages&p=16007&viewfull=1#post16007) for paper):


Mandæan and Jewish scholars rubbed elbows in the streets of cities like Nippur and Pumbeditha, birthplace of the Babylonian Talmud (and better known today as Fallujah).

Pumbeditha = P

Nippur = N


http://i1096.photobucket.com/albums/g326/dok101/Faces/spa_Nippur_Pumbedita.jpg

Humanist
10-12-2013, 02:45 PM
Eurogenes EUtest V2 K15 Oracle results:

Single Population Sharing:

# Population (source) Distance
1 Ashkenazi 11.02
2 Tuscan 11.94
3 Sephardic_Jewish 14.3
4 Greek 14.98
5 North_Italian 16.37
6 Bulgarian 18.34
7 Romanian 18.58
8 Serbian 19.57
9 Spanish_Extremadura 20.66
10 Portuguese 20.92
11 Spanish_Murcia 20.97
12 Spanish_Galicia 21.52
13 Cyprian 21.92
14 Spanish_Cataluna 22.47
15 Spanish_Castilla_Y_Leon 22.55
16 Spanish_Andalucia 22.73
17 Lebanese_Muslim 22.77
18 French 22.94
19 Syrian 23.02
20 Turkish 23.05

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 53.8% Samaritan + 46.2% Southeast_English @ 4.75
2 55.4% Samaritan + 44.6% West_Scottish @ 4.84
3 54.7% Samaritan + 45.3% Danish @ 4.93
4 54.5% French + 45.5% Lebanese_Druze @ 4.98
5 52.6% Lebanese_Christian + 47.4% Southeast_English @ 5.02
6 54.4% Palestinian + 45.6% Southwest_English @ 5.03
7 53.6% Samaritan + 46.4% Southwest_English @ 5.03
8 52.4% Lebanese_Christian + 47.6% Southwest_English @ 5.08
9 52.7% French + 47.3% Palestinian @ 5.15
10 55.2% Samaritan + 44.8% Irish @ 5.19
11 54.2% Lebanese_Christian + 45.8% West_Scottish @ 5.24
12 54.6% Palestinian + 45.4% Southeast_English @ 5.27
13 70.9% Sephardic_Jewish + 29.1% Orcadian @ 5.27
14 55.8% Samaritan + 44.2% Orcadian @ 5.27
15 53.5% Lebanese_Christian + 46.5% Danish @ 5.32
16 54% Lebanese_Christian + 46% Irish @ 5.53
17 52.6% Lebanese_Druze + 47.4% Southwest_English @ 5.56
18 54.8% French + 45.2% Lebanese_Christian @ 5.62
19 70.2% Sephardic_Jewish + 29.8% Danish @ 5.7
20 54.6% Lebanese_Christian + 45.4% Orcadian @ 5.73

....

Eurogenes EUtest V2 K15 Oracle-x Population Fitting

Pct. Calc. Option 1

1 Orcadian 25.97%
2 Lebanese_Druze 23.53%
3 Spanish_Extremadura 16.20%
4 Yemenite_Jewish 12.62%
5 Spanish_Murcia 10.19%
6 Armenian 8.94%
7 Sephardic_Jewish 2.55%
8 Algerian 0.00%
9 Ashkenazi 0.00%
10 West_Scottish 0.00%

Pct. Calc. Option 2

0 Unable to determine 0.01%
1 Ashkenazi 47.50%
2 West_Scottish 14.32%
3 Yemenite_Jewish 8.24%
4 Sephardic_Jewish 7.05%
5 Spanish_Murcia 6.70%
6 Southeast_English 4.94%
7 Lebanese_Druze 4.52%
8 Orcadian 3.63%
9 Palestinian 2.02%
10 Jordanian 1.08%

That is really neat. You are half Palestinian Christian, correct?

AJL
10-12-2013, 03:09 PM
That is really neat. You are half Palestinian Christian, correct?

FaerieQueene has pretty similar results to mine -- the most similar I can recall seeing, anyway. Marhaba, akhti! :)

ZephyrousMandaru
10-12-2013, 04:06 PM
My Eurogenes V2 EUtest K15 Admixture Proportions

# Population Percent
1 East_Med 38.97
2 West_Asian 32.11
3 West_Med 8.77
4 Red_Sea 8.28
5 North_Sea 6.12
6 Eastern_Euro 2.78
7 South_Asian 2.15
8 Oceanian 0.77
9 Northeast_African 0.05

Single Population Sharing:

# Population (source) Distance
1 Assyrian 4.74
2 Armenian 6.98
3 Lebanese_Muslim 11.06
4 Kurdish 11.97
5 Turkish 12.65
6 Syrian 13.06
7 Iranian 13.5
8 Lebanese_Christian 14.28
9 Cyprian 14.74
10 Lebanese_Druze 15.26
11 Samaritan 16.68
12 Jordanian 17.92
13 Palestinian 19.11
14 Sephardic_Jewish 21.73
15 Bedouin 22.47
16 Ashkenazi 23.26
17 Kumyk 24.31
18 Georgian 25.9
19 Adygei 28.36
20 Egyptian 28.76

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 84.7% Armenian + 15.3% Yemenite_Jewish @ 3.62
2 70.2% Armenian + 29.8% Lebanese_Christian @ 3.82
3 71.9% Armenian + 28.1% Lebanese_Druze @ 3.95
4 74.2% Armenian + 25.8% Samaritan @ 4.13
5 76.9% Armenian + 23.1% Palestinian @ 4.16
6 85.4% Armenian + 14.6% Saudi @ 4.2
7 73.5% Assyrian + 26.5% Armenian @ 4.31
8 76.6% Armenian + 23.4% Jordanian @ 4.55
9 95.8% Assyrian + 4.2% Lezgin @ 4.58
10 95.6% Assyrian + 4.4% Georgian @ 4.59
11 96.4% Assyrian + 3.6% Abhkasian @ 4.62
12 96.8% Assyrian + 3.2% Chechen @ 4.63
13 96.1% Assyrian + 3.9% Kumyk @ 4.64
14 98.5% Assyrian + 1.5% Norwegian @ 4.66
15 98.5% Assyrian + 1.5% Orcadian @ 4.66
16 97.2% Assyrian + 2.8% Balkar @ 4.67
17 97.2% Assyrian + 2.8% Adygei @ 4.67
18 98.6% Assyrian + 1.4% Swedish @ 4.68
19 98.6% Assyrian + 1.4% Dutch @ 4.68
20 99.4% Assyrian + 0.6% Papuan @ 4.68

Least-squares method.

Using 1 population approximation:
1 Assyrian @ 5.466
2 Armenian @ 8.053
3 Lebanese_Muslim @ 12.958
4 Kurdish @ 13.766
5 Turkish @ 14.820
6 Syrian @ 15.006
7 Iranian @ 15.474
8 Lebanese_Christian @ 16.620
9 Cyprian @ 17.200
10 Lebanese_Druze @ 17.941
165 iterations.



Using 2 populations approximation:
1 50% Armenian +50% Assyrian @ 5.348
2 50% Assyrian +50% Assyrian @ 5.466
3 50% Armenian +50% Lebanese_Muslim @ 6.413
4 50% Armenian +50% Lebanese_Christian @ 6.421
5 50% Armenian +50% Syrian @ 6.924
6 50% Armenian +50% Lebanese_Druze @ 7.007
7 50% Armenian +50% Samaritan @ 7.812
8 50% Armenian +50% Armenian @ 8.053
9 50% Kurdish +50% Lebanese_Christian @ 8.187
10 50% Armenian +50% Cyprian @ 8.415
13695 iterations.



Using 3 populations approximation:
1 50% Armenian +25% Armenian +25% Lebanese_Christian @ 4.551
2 50% Armenian +25% Armenian +25% Lebanese_Druze @ 4.572
3 50% Armenian +25% Assyrian +25% Lebanese_Christian @ 4.592
4 50% Armenian +25% Assyrian +25% Lebanese_Druze @ 4.801
5 50% Armenian +25% Armenian +25% Samaritan @ 4.847
6 50% Armenian +25% Armenian +25% Palestinian @ 4.913
7 50% Assyrian +25% Armenian +25% Assyrian @ 4.955
8 50% Armenian +25% Assyrian +25% Samaritan @ 5.049
9 50% Lebanese_Druze +25% Armenian +25% Georgian @ 5.253
10 50% Armenian +25% Assyrian +25% Syrian @ 5.264
109723 iterations.



Using 4 populations approximation:
1 Armenian + Armenian + Armenian + Lebanese_Christian @ 4.551
2 Armenian + Armenian + Armenian + Lebanese_Druze @ 4.572
3 Armenian + Armenian + Assyrian + Lebanese_Christian @ 4.592
4 Armenian + Armenian + Assyrian + Lebanese_Druze @ 4.801
5 Armenian + Armenian + Armenian + Samaritan @ 4.847
6 Armenian + Armenian + Armenian + Palestinian @ 4.913
7 Armenian + Assyrian + Assyrian + Assyrian @ 4.955
8 Armenian + Georgian + Lebanese_Christian + Lebanese_Druze @ 5.036
9 Armenian + Armenian + Assyrian + Samaritan @ 5.049
10 Armenian + Georgian + Lebanese_Druze + Lebanese_Druze @ 5.253
11 Armenian + Armenian + Assyrian + Syrian @ 5.264
12 Armenian + Armenian + Armenian + Jordanian @ 5.294
13 Abhkasian + Assyrian + Lebanese_Christian + Lebanese_Druze @ 5.298
14 Armenian + Armenian + Assyrian + Lebanese_Muslim @ 5.307
15 Armenian + Georgian + Lebanese_Christian + Lebanese_Christian @ 5.310
16 Assyrian + Georgian + Lebanese_Christian + Lebanese_Druze @ 5.334
17 Armenian + Georgian + Lebanese_Druze + Samaritan @ 5.343
18 Armenian + Armenian + Assyrian + Assyrian @ 5.348
19 Abhkasian + Armenian + Lebanese_Christian + Lebanese_Druze @ 5.358
20 Armenian + Armenian + Assyrian + Palestinian @ 5.408

Hanna
10-13-2013, 01:33 PM
Eurogenes EUtest V2 K15


My results

1West_Asian36.94
2East_Med30.82
3West_Med6.75
4North_Sea5.04
5Eastern_Euro3.82
6Siberian3.81
7Red_Sea3.5
8Atlantic2.82
9Baltic2.65
10South_Asian2.29
11Southeast_Asian1.21
12Northeast_African0.18
13Oceanian0.11
14Sub-Saharan0.07

Single Population Sharing:

#Population (source)Distance
1Armenian6.54
2Turkish8.44
3Kurdish8.8
4Iranian11.26
5Assyrian11.29
6Kumyk15.05
7Lebanese_Muslim17.56
8Georgian17.86
9Adygei19
10Syrian19.62
11Balkar19.83
12Cyprian20.37
13Lezgin20.49
14Abhkasian21.06
15North_Ossetian21.8
16Lebanese_Christian22.95
17Chechen22.96
18Lebanese_Druze23.45
19Ashkenazi24.35
20Jordanian24.64

Mixed Mode Population Sharing:

# Primary Population (source)Secondary Population (source)Distance
1 81% Armenian +19% Nogay @2.48
2 91.7% Armenian +8.3% Hakas @3.54
3 64.6% Assyrian +35.4% Balkar @3.56
4 91.6% Armenian +8.4% Shors @3.58
5 92.3% Armenian +7.7% Altaian @3.72
6 93.1% Armenian +6.9% Ket @3.81
7 93.3% Armenian +6.7% Selkup @3.81
8 93.2% Armenian +6.8% Tuvinian @3.87
9 88.1% Armenian +11.9% Uzbeki @3.87
10 73.7% Armenian +26.3% Kumyk @3.99
11 89.2% Armenian +10.8% Hazara @4.01
12 94.4% Armenian +5.6% Dolgan @4.03
13 93.6% Armenian +6.4% Buryat @4.03
14 93% Armenian +7% Mongolian @4.06
15 79.2% Armenian +20.8% Balkar @4.07
16 94.4% Armenian +5.6% Yakut @4.08
17 67.1% Assyrian +32.9% North_Ossetian @4.1
18 94.7% Armenian +5.3% Evenki @4.11
19 94.4% Armenian +5.6% Oroqen @4.12
20 94.8% Armenian +5.2% Evens @4.16

My aunt

Admix Results (sorted):

#PopulationPercent
1West_Asian41.02
2East_Med31.22
3West_Med8.46
4Atlantic6.22
5Red_Sea4.48
6South_Asian4.07
7Eastern_Euro2.01
8Baltic1.54
9Siberian0.39
10Amerindian0.37
11Oceanian0.21

Single Population Sharing:

#Population (source)Distance
1Armenian6.75
2Kurdish9.49
3Turkish11.48
4Iranian12.23
5Assyrian12.46
6Georgian16
7Kumyk17.21
8Abhkasian18.87
9Lebanese_Muslim19.01
10Adygei19.09
11Balkar20.84
12Syrian21.2
13Cyprian21.62
14North_Ossetian21.99
15Lezgin22.37
16Chechen23.75
17Lebanese_Christian24.23
18Lebanese_Druze25.32
19Samaritan26.1
20Sephardic_Jewish26.59

Mixed Mode Population Sharing:

# Primary Population (source)Secondary Population (source)Distance
1 53.6% Abhkasian +46.4% Cyprian @4.53
2 61.3% Assyrian +38.7% Abhkasian @4.71
3 56.5% Abhkasian +43.5% Lebanese_Christian @4.74
4 79.2% Armenian +20.8% Abhkasian @4.74
5 50.2% Abhkasian +49.8% Lebanese_Muslim @4.76
6 76.4% Armenian +23.6% Georgian @4.83
7 57.1% Assyrian +42.9% Georgian @4.92
8 82.4% Armenian +17.6% North_Ossetian @4.94
9 57.7% Abhkasian +42.3% Lebanese_Druze @4.95
10 58.5% Abhkasian +41.5% Samaritan @4.95
11 80.3% Armenian +19.7% Adygei @5.01
12 61% Georgian +39% Lebanese_Christian @5.15
13 82.3% Armenian +17.7% Balkar @5.17
14 58.1% Georgian +41.9% Cyprian @5.33
15 62.1% Georgian +37.9% Lebanese_Druze @5.37
16 54.8% Georgian +45.2% Lebanese_Muslim @5.45
17 62.9% Georgian +37.1% Samaritan @5.48
18 85.6% Armenian +14.4% Chechen @5.5
19 82.4% Armenian +17.6% Kumyk @5.78
20 87.6% Armenian +12.4% Lezgin @6.02

My grandmother

Admix Results (sorted):

#PopulationPercent
1West_Asian40.08
2East_Med29.41
3West_Med10.11
4Atlantic8.01
5Red_Sea4.23
6Eastern_Euro4.04
7Siberian2.31
8South_Asian0.74
9Oceanian0.71
10Baltic0.35

Single Population Sharing:

#Population (source)Distance
1Armenian9.04
2Turkish10.94
3Kurdish12.14
4Assyrian14.23
5Iranian14.84
6Georgian16.61
7Kumyk16.81
8Adygei18.75
9Lebanese_Muslim19.43
10Abhkasian19.53
11Balkar19.81
12Cyprian21.24
13North_Ossetian21.52
14Syrian21.72
15Lezgin22.02
16Chechen23.26
17Lebanese_Christian24.8
18Sephardic_Jewish25.46
19Lebanese_Druze26.12
20Ashkenazi26.19

Mixed Mode Population Sharing:

# Primary Population (source)Secondary Population (source)Distance
1 52.2% Abhkasian +47.8% Cyprian @5.11
2 56.7% Georgian +43.3% Cyprian @5.72
3 57.2% Abhkasian +42.8% Sephardic_Jewish @6.33
4 50.2% Lebanese_Muslim +49.8% Abhkasian @6.58
5 58.2% Abhkasian +41.8% Samaritan @6.81
6 75.8% Armenian +24.2% Balkar @6.83
7 54.6% Georgian +45.4% Lebanese_Muslim @6.91
8 62.8% Georgian +37.2% Samaritan @6.98
9 56.6% Abhkasian +43.4% Lebanese_Christian @7.01
10 68.5% Turkish +31.5% Abhkasian @7.02
11 78.2% Armenian +21.8% North_Ossetian @7.03
12 61.3% Georgian +38.7% Lebanese_Christian @7.05
13 61.9% Georgian +38.1% Sephardic_Jewish @7.07
14 75.7% Armenian +24.3% Adygei @7.11
15 64.5% Turkish +35.5% Georgian @7.2
16 74.3% Armenian +25.7% Georgian @7.45
17 78.2% Armenian +21.8% Abhkasian @7.51
18 58.1% Abhkasian +41.9% Lebanese_Druze @7.51
19 62.8% Georgian +37.2% Lebanese_Druze @7.52
20 81.5% Armenian +18.5% Chechen @7.53

Sapporo
10-13-2013, 11:43 PM
Eurogenes:

K12b

South Asian = 34.86%
West Central Asian = 34.04%
North European = 12.86%
Caucasus = 11.94%
Siberian = 2.20%
Western European = 1.95%
Finnish = 1.82%
Southwest Asian= 0.33%

K13

South Asian = 38.72%
West Central Asian = 29.23%
North European= 16.72%
Caucasus = 10.66%
North Eurasian = 1.60%
Southwest Asian = 1.21%
East Siberian = 1.16%
Amerindian = 0.70%

Eurogenes EUtest V2 K15:

Admix Results (sorted):

# Population Percent
1 South_Asian 45.72
2 West_Asian 25.28
3 Eastern_Euro 14.57
4 East_Med 4.76
5 North_Sea 4.17
6 Baltic 3.57
7 Amerindian 1.59
8 Siberian 0.33

Single Population Sharing:

# Population (source) Distance
1 Punjabi_Jat 4.88
2 Pathan 5.59
3 Sindhi 6.77
4 Burusho 10.38
5 Brahmin_UP 15.58
6 Gujarati 16.3
7 Kshatriya 17.62
8 Balochi 17.64
9 Brahui 17.88
10 Makrani 21.19
11 Bangladeshi 21.93
12 Dharkar 25.84
13 Tadjik 26.54
14 Kanjar 26.7
15 Velamas 29.52
16 Uttar_Pradesh 29.7
17 Kurumba 30.58
18 Kol 30.87
19 North_Kannadi 31.99
20 Dusadh 32

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 80.3% Pathan + 19.7% Kshatriya @ 3.66
2 79% Pathan + 21% Gujarati @ 3.66
3 86.3% Pathan + 13.7% Kanjar @ 3.68
4 78.4% Pathan + 21.6% Brahmin_UP @ 3.72
5 88.5% Pathan + 11.5% North_Kannadi @ 3.75
6 88.3% Pathan + 11.7% Kol @ 3.84
7 87.9% Pathan + 12.1% Uttar_Pradesh @ 3.86
8 90.2% Pathan + 9.8% Chamar @ 3.88
9 89.7% Pathan + 10.3% Piramalai @ 3.96
10 86.6% Pathan + 13.4% Dharkar @ 3.96
11 89% Pathan + 11% Dusadh @ 3.99
12 88.9% Pathan + 11.1% Kurumba @ 4.11
13 59.2% Punjabi_Jat + 40.8% Pathan @ 4.13
14 88.7% Pathan + 11.3% Velamas @ 4.15
15 89.9% Pathan + 10.1% Chenchu @ 4.2
16 85.8% Pathan + 14.2% Bangladeshi @ 4.31
17 71.9% Punjabi_Jat + 28.1% Sindhi @ 4.45
18 82.8% Punjabi_Jat + 17.2% Burusho @ 4.47
19 91.2% Punjabi_Jat + 8.8% Brahui @ 4.58
20 91.4% Punjabi_Jat + 8.6% Balochi @ 4.6

Population Averages:

https://docs.google.com/spreadsheet/ccc?key=0Aqr2nbGXpVFndEN4eEJfUWQxTHp3Snh4M0FGNVJhL Wc&usp=drive_web#gid=0

Punjabi_Jat:

# Population Percent
1 South_Asian 45.45
2 West_Asian 24.66
3 Eastern_Euro 11.6
4 North_Sea 7.51
5 Baltic 3.73
6 East_Med 2.46
7 Atlantic 2.35
8 Amerindian 0.85
9 Red Sea 0.5
10 Sub_Saharan 0.23
11 Siberian 0.2
12 Oceanian 0.16
13 West_Med 0.15
14 Northeast_African 0.1
15 Southeast_Asian 0.07

Pathan:

# Population Percent
1 South_Asian 41.29
2 West_Asian 27.89
3 Eastern_Euro 11.66
4 East_Med 6.04
5 North_Sea 4.68
6 Baltic 3.02
7 Amerindian 1.5
8 Siberian 1.44
9 Atlantic 1.09
10 Red_Sea 0.46
11 West_Med 0.25
12 Southeast_Asian 0.25
13 Sub_Saharan 0.25
14 Oceanian 0.1
15 Northeast_African 0.09
15 Southeast_Asian 0.07

Sindhi:

# Population Percent
1 South_Asian 47.96
2 West_Asian 27.16
3 Eastern_Euro 8.24
4 East_Med 7.12
5 North_Sea 3.47
6 Baltic 1.42
7 Atlantic 1.33
8 Amerindian 1.1
9 Sub_Saharan 0.53
10 Red_Sea 0.50
11 Siberian 0.38
12 Northeast_African 0.33
13 Oceanian 0.25
14 West_Med 0.1
15 Southeast_Asian 0.1

FaerieQueene
10-22-2013, 08:16 AM
That is really neat. You are half Palestinian Christian, correct?
Yes, I am! My paternal side is fully Palestinian Christian. :)

FaerieQueene has pretty similar results to mine -- the most similar I can recall seeing, anyway. Marhaba, akhti! :)
Thank you. You are Ashkenazi?(guessing from your signature) :)

Hok
10-22-2013, 08:33 AM
My results:


Population
North_Sea 42.29%
Atlantic 19.77%
Baltic 8.08%
Eastern_Euro 11.22%
West_Med 9.48%
West_Asian 5.05%
East_Med 2.28%
Red_Sea -
South_Asian 0.32%
Southeast_Asian -
Siberian -
Amerindian 0.64%
Oceanian -
Northeast_African 0.86%
Sub-Saharan -


Single Population Sharing:

# Population (source) Distance
1 Norwegian 7.11
2 Orcadian 7.38
3 Dutch 7.83
4 Swedish 8.68
5 Danish 10.1
6 Southwest_English 10.41
7 Southeast_English 10.74
8 West_Scottish 10.78
9 German 11.04
10 North_Swedish 11.19
11 Irish 11.43
12 French 15.37
13 Southwest_Finnish 18.26
14 Hungarian 19.31
15 Finnish 20.07
16 Austrian 21.22
17 Spanish_Galicia 22.3
18 Serbian 23.02
19 Spanish_Cataluna 23.61
20 Portuguese 23.8

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 95.2% Norwegian + 4.8% Armenian @ 6.56
2 95.7% Norwegian + 4.3% Georgian @ 6.65
3 96% Norwegian + 4% Abhkasian @ 6.65
4 93.7% Orcadian + 6.3% Lezgin @ 6.68
5 95.8% Norwegian + 4.2% Assyrian @ 6.69
6 96.2% Norwegian + 3.8% Lebanese_Christian @ 6.74
7 95.4% Norwegian + 4.6% Lezgin @ 6.74
8 95.8% Norwegian + 4.2% Cyprian @ 6.75
9 96.2% Norwegian + 3.8% Samaritan @ 6.76
10 95.5% Norwegian + 4.5% Kumyk @ 6.76
11 96% Norwegian + 4% Syrian @ 6.77
12 94.8% Orcadian + 5.2% Armenian @ 6.77
13 96% Norwegian + 4% Lebanese_Muslim @ 6.77
14 95.8% Norwegian + 4.2% Sardinian @ 6.78
15 96.1% Norwegian + 3.9% Kurdish @ 6.78
16 95.7% Norwegian + 4.3% Turkish @ 6.79
17 96.4% Norwegian + 3.6% Lebanese_Druze @ 6.79
18 94.2% Orcadian + 5.8% Kumyk @ 6.79
19 95.9% Norwegian + 4.1% Chechen @ 6.8
20 96% Norwegian + 4% Balkar @ 6.81


Least-squares method.

Using 1 population approximation:
1 Norwegian @ 8.254
2 Orcadian @ 8.578
3 Dutch @ 9.248
4 Swedish @ 9.974
5 Danish @ 11.881
6 Southwest_English @ 12.269
7 West_Scottish @ 12.626
8 Southeast_English @ 12.676
9 North_Swedish @ 12.900
10 German @ 13.121
165 iterations.



Using 2 populations approximation:
1 50% Norwegian +50% Orcadian @ 8.006
2 50% Norwegian +50% Norwegian @ 8.254
3 50% Dutch +50% Norwegian @ 8.424
4 50% Orcadian +50% Swedish @ 8.540
5 50% Orcadian +50% Orcadian @ 8.578
6 50% Dutch +50% Orcadian @ 8.602
7 50% Norwegian +50% Swedish @ 9.042
8 50% Dutch +50% Swedish @ 9.078
9 50% Norwegian +50% Southwest_English @ 9.159
10 50% Dutch +50% Dutch @ 9.248
13695 iterations.



Using 3 populations approximation:
1 50% Norwegian +25% Orcadian +25% Orcadian @ 8.006
2 50% Orcadian +25% Norwegian +25% Norwegian @ 8.006
3 50% Norwegian +25% Norwegian +25% Orcadian @ 8.026
4 50% Norwegian +25% Dutch +25% Orcadian @ 8.132
5 50% Orcadian +25% Norwegian +25% Orcadian @ 8.194
6 50% Orcadian +25% Dutch +25% Norwegian @ 8.220
7 50% Orcadian +25% Norwegian +25% Swedish @ 8.246
8 50% Norwegian +25% Dutch +25% Norwegian @ 8.251
9 50% Norwegian +25% Norwegian +25% Norwegian @ 8.254
10 50% Norwegian +25% Orcadian +25% Swedish @ 8.338
615468 iterations.




Using 4 populations approximation:
1 Norwegian + Norwegian + Norwegian + Orcadian @ 8.170
2 Norwegian + Norwegian + Orcadian + Orcadian @ 8.173
3 Dutch + Norwegian + Norwegian + Orcadian @ 8.299
4 Norwegian + Norwegian + Norwegian + Norwegian @ 8.372
5 Norwegian + Orcadian + Orcadian + Orcadian @ 8.381
6 Dutch + Norwegian + Norwegian + Norwegian @ 8.393
7 Dutch + Norwegian + Orcadian + Orcadian @ 8.408
8 Norwegian + Orcadian + Orcadian + Swedish @ 8.410
9 Norwegian + Norwegian + Orcadian + Swedish @ 8.478
10 Norwegian + Norwegian + Norwegian + Southwest_English @ 8.518
11 Orcadian + Orcadian + Orcadian + Swedish @ 8.542
12 Dutch + Norwegian + Orcadian + Swedish @ 8.570
13 Dutch + Dutch + Norwegian + Norwegian @ 8.586
14 Dutch + Dutch + Norwegian + Orcadian @ 8.598
15 Norwegian + Norwegian + Orcadian + Southwest_English @ 8.605
16 Dutch + Orcadian + Orcadian + Swedish @ 8.606
17 North_Swedish + Orcadian + Orcadian + Orcadian @ 8.675
18 North_Swedish + Norwegian + Orcadian + Orcadian @ 8.677
19 Orcadian + Orcadian + Swedish + Swedish @ 8.699
20 French + Norwegian + Norwegian + Norwegian @ 8.708

AJL
10-22-2013, 06:41 PM
Yes, I am! My paternal side is fully Palestinian Christian. :)

Thank you. You are Ashkenazi?(guessing from your signature) :)

PM just sent. :)

Sangarius
10-26-2013, 05:03 PM
A bit late, but here are my EUtest V2 K15 results. Like the previous EUTest it confirms that I'm a Caucasus shifted Turk. This is due to my maternal side being from North-Eastern Turkey (Trabzon). The distance in the previous test was smaller, though.


Admixture proportions:

West_Asian 36,66%
East_Med 27,26%
--------------------------
West_Med 9,70%
Atlantic 8,59%
Eastern_Euro 4,15%
Southeast_Asian 2,86%
South_Asian 2,81%
Siberian 2,43%
Red_Sea 2,25%
Baltic 1,83%
--------------------------
Oceanian 0,92%
Amerindian 0,55%
--------------------------
North_Sea 0,00%
Northeast_African 0,00%
Sub_Saharan 0,00%

Oracle

# Population (source) Distance
1 Turkish 8.21
2 Armenian 10.6
3 Kurdish 11.42
4 Iranian 14.03
5 Assyrian 14.88
6 Kumyk 15.28
7 Georgian 18.14
8 Adygei 18.4
9 Balkar 18.68
10 Lebanese_Muslim 19.17
11 Cyprian 20.67
12 Lezgin 21.01
13 North_Ossetian 21.08
14 Abhkasian 21.09
15 Syrian 21.36
16 Chechen 22.34
17 Ashkenazi 23.82
18 Sephardic_Jewish 23.94
19 Nogay 24.74
20 Lebanese_Christian 25.18

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 76.7% Turkish + 23.3% Abhkasian @ 5.36
2 74.3% Turkish + 25.7% Georgian @ 5.64
3 52.8% Balkar + 47.2% Cyprian @ 6.34
4 79.7% Turkish + 20.3% North_Ossetian @ 6.43
5 50.5% Cyprian + 49.5% North_Ossetian @ 6.44
6 53.4% Abhkasian + 46.6% Sephardic_Jewish @ 6.44
7 77.3% Turkish + 22.7% Adygei @ 6.45
8 77.9% Turkish + 22.1% Balkar @ 6.53
9 53.3% Adygei + 46.7% Cyprian @ 6.6
10 50.6% Cyprian + 49.4% Abhkasian @ 6.82
11 74.8% Armenian + 25.2% Nogay @ 6.94
12 58.3% Balkar + 41.7% Lebanese_Christian @ 6.96
13 83.6% Turkish + 16.4% Chechen @ 7.07
14 50.8% Balkar + 49.2% Lebanese_Muslim @ 7.12
15 53.8% Georgian + 46.2% Cyprian @ 7.17
16 59.4% Balkar + 40.6% Lebanese_Druze @ 7.18
17 57.8% Georgian + 42.2% Sephardic_Jewish @ 7.19
18 57% Assyrian + 43% Balkar @ 7.24
19 77.8% Turkish + 22.2% Kumyk @ 7.25
20 59.7% Balkar + 40.3% Samaritan @ 7.37


Oracle-4

1 Abhkasian + Turkish + Turkish + Turkish @ 6.066
2 Abhkasian + Balkar + Cyprian + Cyprian @ 6.270
3 Georgian + Turkish + Turkish + Turkish @ 6.379
4 Abhkasian + Cyprian + Turkish + Turkish @ 6.512
5 Abhkasian + Cyprian + Cyprian + North_Ossetian @ 6.558
6 Abhkasian + Abhkasian + Cyprian + Sephardic_Jewish @ 6.626
7 Abhkasian + Adygei + Cyprian + Cyprian @ 6.672
8 Armenian + Balkar + Turkish + Turkish @ 6.679
9 Abhkasian + Balkar + Cyprian + Turkish @ 6.697
10 Balkar + Cyprian + Georgian + Turkish @ 6.705
11 Abhkasian + Assyrian + Balkar + Sephardic_Jewish @ 6.720
12 Abhkasian + Balkar + Cyprian + Lebanese_Muslim @ 6.721
13 Abhkasian + Armenian + Turkish + Turkish @ 6.771
14 Abhkasian + Balkar + Cyprian + Sephardic_Jewish @ 6.791
15 Armenian + Georgian + Turkish + Turkish @ 6.812
16 Abhkasian + Cyprian + Kumyk + Turkish @ 6.824
17 Balkar + Cyprian + Cyprian + Georgian @ 6.831
18 Abhkasian + Cyprian + North_Ossetian + Sephardic_Jewish @ 6.861
19 Adygei + Armenian + Turkish + Turkish @ 6.864
20 Armenian + North_Ossetian + Turkish + Turkish @ 6.897


Oracle-X

Pct. Calc. Option 1

1 Turkish 36.08%
2 Abhkasian 33.85%
3 Cyprian 14.02%
4 Kurdish 8.43%
5 Sardinian 5.79%
6 Japanese 1.83%
7 Greek 0.00%
8 Sephardic_Jewish 0.00%
9 Armenian 0.00%
10 Balkar 0.00%


Pct. Calc. Option 2

0 Unable to determine 0.01%
1 Turkish 47.61%
2 Balkar 12.87%
3 Abhkasian 9.47%
4 Armenian 8.57%
5 Georgian 7.69%
6 Cyprian 5.60%
7 Sardinian 5.04%
8 Kurdish 2.04%
9 Assyrian 1.08%
10 Sephardic_Jewish 0.01%

Silesian
10-28-2013, 12:55 AM
Eurogenes EUtest V2 K15 4-Ancestors Oracle



Admix Results (sorted):

# Population Percent
1 Baltic 27.01
2 North_Sea 21.30
3 Atlantic 19.05
4 Eastern_Euro 18.54
5 West_Med 6.72
6 West_Asian 4.71
7 South_Asian 1.58
8 East_Med 1.09


--------------------------------

Least-squares method.

Using 1 population approximation:
1 Polish @ 2.947
2 Ukrainian @ 5.567
3 Ukrainian_West @ 6.234




Using 2 populations approximation:
1 50% Polish +50% Polish @ 2.947
2 50% Austrian +50% Lithuanian @ 3.764
3 50% Polish +50% Ukrainian @ 4.129



Using 3 populations approximation:
1 50% Russian +25% Belorussian +25% German @ 2.543
2 50% Russian +25% German +25% Lithuanian @ 2.548
3 50% Ukrainian_Northeast +25% Lithuanian +25% Southwest_English @ 2.632

Using 4 populations approximation:
1 Belorussian + German + Russian + Russian @ 2.543
2 German + Lithuanian + Russian + Russian @ 2.548
3 Lithuanian + Russian + Southwest_English + Ukrainian_Northeast @ 2.564

Iraqain
10-30-2013, 01:52 AM
Here are my Eurogenes EUtest V2 K15 Oracle results. I have Iranian ancestry on my paternal side and Iraqi Arab on my maternal.


Admix Results (sorted):

# Population Percent
1 East_Med 30.91
2 West_Asian 28.39
3 Red_Sea 12.12
4 South_Asian 8.12
5 Atlantic 7.48
6 West_Med 4.85
7 Eastern_Euro 3.77
8 Northeast_African 2.81
9 Baltic 1.49
10 Sub-Saharan 0.06

Single Population Sharing:

# Population (source) Distance
1 Iranian 9.64
2 Turkish 9.71
3 Kurdish 10.15
4 Assyrian 11.64
5 Lebanese_Muslim 12.17
6 Syrian 12.26
7 Armenian 13.64
8 Cyprian 17.09
9 Jordanian 17.1
10 Lebanese_Christian 18.79
11 Palestinian 18.95
12 Samaritan 19.25
13 Bedouin 19.43
14 Sephardic_Jewish 19.51
15 Lebanese_Druze 20
16 Ashkenazi 20.56
17 Kumyk 22.18
18 Greek 25.84
19 Makrani 25.9
20 Egyptian 25.92

Least-squares method.

Using 1 population approximation:

1 Turkish @ 10.244
2 Iranian @ 10.738
3 Kurdish @ 11.234
4 Assyrian @ 13.305
5 Lebanese_Muslim @ 14.044
6 Syrian @ 14.125
7 Armenian @ 15.367
8 Cyprian @ 19.372
9 Jordanian @ 19.515
10 Lebanese_Christian @ 21.859
165 iterations.



Using 2 populations approximation:

1 50% Iranian +50% Syrian @ 6.948
2 50% Iranian +50% Lebanese_Muslim @ 7.410
3 50% Kurdish +50% Syrian @ 7.427
4 50% Kurdish +50% Lebanese_Muslim @ 8.361
5 50% Iranian +50% Turkish @ 8.477
6 50% Bedouin +50% Kurdish @ 8.590
7 50% Iranian +50% Jordanian @ 8.801
8 50% Iranian +50% Sephardic_Jewish @ 8.804
9 50% Syrian +50% Turkish @ 8.911
10 50% Kumyk +50% Palestinian @ 8.916
13695 iterations.



Using 3 populations approximation:

1 50% Iranian +25% Bedouin +25% Turkish @ 5.640
2 50% Kurdish +25% Bedouin +25% Turkish @ 6.028
3 50% Palestinian +25% Balochi +25% Georgian @ 6.073
4 50% Palestinian +25% Adygei +25% Makrani @ 6.107
5 50% Palestinian +25% Georgian +25% Makrani @ 6.164
6 50% Palestinian +25% Brahui +25% Georgian @ 6.173
7 50% Iranian +25% Iranian +25% Sephardic_Jewish @ 6.244
8 50% Palestinian +25% Makrani +25% North_Ossetian @ 6.290
9 50% Turkish +25% Bedouin +25% Iranian @ 6.301
10 50% Turkish +25% Makrani +25% Saudi @ 6.337
323471 iterations.



Using 4 populations approximation:

1 Abhkasian + Balochi + Sephardic_Jewish + Yemenite_Jewish @ 4.789
2 Abhkasian + Brahui + Sephardic_Jewish + Yemenite_Jewish @ 4.808
3 Abhkasian + Makrani + Sephardic_Jewish + Yemenite_Jewish @ 4.818
4 Brahui + Georgian + Sephardic_Jewish + Yemenite_Jewish @ 5.047
5 Balochi + Georgian + Sephardic_Jewish + Yemenite_Jewish @ 5.058
6 Abhkasian + Makrani + Saudi + Sephardic_Jewish @ 5.115
7 Georgian + Makrani + Sephardic_Jewish + Yemenite_Jewish @ 5.169
8 Georgian + Makrani + Saudi + Sephardic_Jewish @ 5.265
9 Abhkasian + Brahui + Saudi + Sephardic_Jewish @ 5.546
10 Cyprian + Georgian + Makrani + Saudi @ 5.578
11 Brahui + Georgian + Saudi + Sephardic_Jewish @ 5.582
12 Abhkasian + Balochi + Saudi + Sephardic_Jewish @ 5.605
13 Adygei + Lebanese_Muslim + Makrani + Yemenite_Jewish @ 5.608
14 Lebanese_Muslim + Makrani + North_Ossetian + Yemenite_Jewish @ 5.618
15 Bedouin + Iranian + Iranian + Turkish @ 5.640
16 Balochi + Georgian + Lebanese_Muslim + Yemenite_Jewish @ 5.651
17 Adygei + Balochi + Lebanese_Muslim + Yemenite_Jewish @ 5.656
18 Balochi + Georgian + Saudi + Sephardic_Jewish @ 5.667
19 Cyprian + Makrani + North_Ossetian + Yemenite_Jewish @ 5.686
20 Adygei + Brahui + Lebanese_Muslim + Yemenite_Jewish @ 5.687

Hanna
10-31-2013, 01:26 AM
I haven't posted my grandfather's results

Eurogenes EUtest V2 K15

# Population Percent
1 West_Asian 41.34
2 East_Med 32.20
3 West_Med 6.02
4 Atlantic 5.93
5 South_Asian 4.67
6 Eastern_Euro 3.60
7 Red_Sea 3.44
8 Baltic 1.89
9 Amerindian 0.90


--------------------------------

Least-squares method.

Using 1 population approximation:

1 Armenian @ 8.423
2 Kurdish @ 9.273
3 Iranian @ 12.535
4 Turkish @ 13.836
5 Assyrian @ 14.614
6 Georgian @ 18.779
7 Kumyk @ 19.726
8 Abhkasian @ 22.048
9 Adygei @ 22.083
10 Lebanese_Muslim @ 22.691

Using 2 populations approximation:

1 50% Assyrian +50% Georgian @ 6.153
2 50% Abhkasian +50% Lebanese_Muslim @ 6.499
3 50% Abhkasian +50% Assyrian @ 6.648
4 50% Abhkasian +50% Lebanese_Druze @ 6.732
5 50% Abhkasian +50% Lebanese_Christian @ 7.300
6 50% Armenian +50% Kurdish @ 7.328
7 50% Georgian +50% Lebanese_Muslim @ 7.517
8 50% Abhkasian +50% Cyprian @ 7.525
9 50% Adygei +50% Assyrian @ 8.062
10 50% Abhkasian +50% Syrian @ 8.094



Using 3 populations approximation:

1 50% Armenian +25% Abhkasian +25% Kurdish @ 5.115
2 50% Abhkasian +25% Kurdish +25% Lebanese_Druze @ 5.137
3 50% Kurdish +25% Abhkasian +25% Assyrian @ 5.143
4 50% Armenian +25% Georgian +25% Kurdish @ 5.205
5 50% Kurdish +25% Abhkasian +25% Armenian @ 5.215
6 50% Kurdish +25% Armenian +25% Georgian @ 5.320
7 50% Georgian +25% Kurdish +25% Lebanese_Druze @ 5.332
8 50% Abhkasian +25% Assyrian +25% Lebanese_Druze @ 5.382
9 50% Assyrian +25% Abhkasian +25% Kurdish @ 5.514
10 50% Abhkasian +25% Kurdish +25% Lebanese_Christian @ 5.593


Using 4 population approximation:

1 Abhkasian + Armenian + Assyrian + Kurdish @ 4.858
2 Abhkasian + Georgian + Kurdish + Lebanese_Druze @ 5.099
3 Abhkasian + Armenian + Armenian + Kurdish @ 5.115
4 Abhkasian + Abhkasian + Kurdish + Lebanese_Druze @ 5.137
5 Abhkasian + Assyrian + Kurdish + Kurdish @ 5.143
6 Armenian + Armenian + Georgian + Kurdish @ 5.205
7 Abhkasian + Armenian + Kurdish + Kurdish @ 5.215
8 Armenian + Assyrian + Georgian + Kurdish @ 5.315
9 Armenian + Georgian + Kurdish + Kurdish @ 5.320
10 Georgian + Georgian + Kurdish + Lebanese_Druze @ 5.332
11 Abhkasian + Abhkasian + Assyrian + Lebanese_Druze @ 5.382
12 Abhkasian + Armenian + Assyrian + Iranian @ 5.456
13 Abhkasian + Georgian + Kurdish + Lebanese_Christian @ 5.480
14 Abhkasian + Assyrian + Assyrian + Kurdish @ 5.514
15 Abhkasian + Armenian + Kurdish + Turkish @ 5.588
16 Abhkasian + Abhkasian + Kurdish + Lebanese_Christian @ 5.593
17 Assyrian + Georgian + Kurdish + Kurdish @ 5.593
18 Abhkasian + Armenian + Armenian + Iranian @ 5.593
19 Abhkasian + Georgian + Iranian + Lebanese_Druze @ 5.615
20 Georgian + Georgian + Kurdish + Lebanese_Christian @ 5.620

vettor
10-31-2013, 10:29 AM
does 23andme have more markers than ftdna as I get slightly different results....as an example , the test below are mostly the same except for AT=Austria moved from place 18 in ftdna test kit and 2nd in 23andme test kit

test info below
# Population Percent
1 ATLANTIC 19.63
2 WEST_MED 19.05
3 NORTH-CENTRAL_EURO 15.81
4 EAST_MED 15.73
5 SOUTH_BALTIC 9.8
6 EAST_EURO 6.65
7 ASHKENAZI 6.56
8 WEST_ASIAN 4.95
9 MIDDLE_EASTERN 1.72
10 SOUTH_ASIAN 0.1

# Primary Population (source) Secondary Population (source) Distance
1 91.1% North_Italian + 8.9% East_Finnish @ 2.63
2 80.4% North_Italian + 19.6% AT @ 2.63
3 91.5% North_Italian + 8.5% North_Russian @ 2.65
4 90.3% North_Italian + 9.7% South_Finnish @ 2.66
5 90.9% North_Italian + 9.1% East_Russian @ 2.69
6 79.8% North_Italian + 20.2% Serbian @ 2.71
7 91.7% North_Italian + 8.3% Erzya @ 2.74
8 89.1% North_Italian + 10.9% North_Swedish @ 2.74
9 92.6% North_Italian + 7.4% Udmurt @ 2.89
10 90.7% North_Italian + 9.3% Ukrainian-Russian @ 2.91
11 88% North_Italian + 12% DK @ 2.95
12 90.9% North_Italian + 9.1% West_Russian @ 2.95
13 92.8% North_Italian + 7.2% Komi @ 2.96
14 88.9% North_Italian + 11.1% NO @ 2.98
15 92% North_Italian + 8% EE @ 3.01
16 89.1% North_Italian + 10.9% South_&_Central_Swedish @ 3.02
17 90.5% North_Italian + 9.5% PL @ 3.02
18 84.5% North_Italian + 15.5% HU @ 3.02
19 85.6% North_Italian + 14.4% West_&_Central_German @ 3.03
20 91.8% North_Italian + 8.2% Belorussian @ 3.05



and my V2 K15 results for those interested

# Population Percent
1 Atlantic 25.07
2 West_Med 19.03
3 East_Med 14.07
4 North_Sea 13.52
5 Baltic 9.70
6 West_Asian 8.51
7 Eastern_Euro 7.80
8 Red_Sea 2.30

Sapporo
11-09-2013, 11:55 AM
Eurogenes EUtest V2 K15:

Admix Results (sorted):

# Population Percent
1 South_Asian 45.72
2 West_Asian 25.28
3 Eastern_Euro 14.57
4 East_Med 4.76
5 North_Sea 4.17
6 Baltic 3.57
7 Amerindian 1.59
8 Siberian 0.33

Single Population Sharing:

# Population (source) Distance
1 Punjabi_Jat 4.88
2 Pathan 5.59
3 Sindhi 6.77
4 Burusho 10.38
5 Brahmin_UP 15.58
6 Gujarati 16.3
7 Kshatriya 17.62
8 Balochi 17.64
9 Brahui 17.88
10 Makrani 21.19
11 Bangladeshi 21.93
12 Dharkar 25.84
13 Tadjik 26.54
14 Kanjar 26.7
15 Velamas 29.52
16 Uttar_Pradesh 29.7
17 Kurumba 30.58
18 Kol 30.87
19 North_Kannadi 31.99
20 Dusadh 32

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 80.3% Pathan + 19.7% Kshatriya @ 3.66
2 79% Pathan + 21% Gujarati @ 3.66
3 86.3% Pathan + 13.7% Kanjar @ 3.68
4 78.4% Pathan + 21.6% Brahmin_UP @ 3.72
5 88.5% Pathan + 11.5% North_Kannadi @ 3.75
6 88.3% Pathan + 11.7% Kol @ 3.84
7 87.9% Pathan + 12.1% Uttar_Pradesh @ 3.86
8 90.2% Pathan + 9.8% Chamar @ 3.88
9 89.7% Pathan + 10.3% Piramalai @ 3.96
10 86.6% Pathan + 13.4% Dharkar @ 3.96
11 89% Pathan + 11% Dusadh @ 3.99
12 88.9% Pathan + 11.1% Kurumba @ 4.11
13 59.2% Punjabi_Jat + 40.8% Pathan @ 4.13
14 88.7% Pathan + 11.3% Velamas @ 4.15
15 89.9% Pathan + 10.1% Chenchu @ 4.2
16 85.8% Pathan + 14.2% Bangladeshi @ 4.31
17 71.9% Punjabi_Jat + 28.1% Sindhi @ 4.45
18 82.8% Punjabi_Jat + 17.2% Burusho @ 4.47
19 91.2% Punjabi_Jat + 8.8% Brahui @ 4.58
20 91.4% Punjabi_Jat + 8.6% Balochi @ 4.6

K12b

South Asian = 34.86%
West Central Asian = 34.04%
North European = 12.86%
Caucasus = 11.94%
Siberian = 2.20%
Western European = 1.95%
Finnish = 1.82%
Southwest Asian= 0.33%

K13

South Asian = 38.72%
West Central Asian = 29.23%
North European= 16.72%
Caucasus = 10.66%
North Eurasian = 1.60%
Southwest Asian = 1.21%
East Siberian = 1.16%
Amerindian = 0.70%

Anglecynn
11-09-2013, 01:47 PM
1) North_Sea 34.34
2) Atlantic 24.73
3) Baltic 11.82
4) Eastern_Euro 8.91
5) West_Med 8.52
6) East_Med 4.31
7) West_Asian 3.67
8) Red_Sea 1.7
9) South_Asian 0.89
10) Sub-Saharan 0.56
11) Oceanian 0.41
12) Amerindian 0.13
13) Northeast_African 0.01

1) German 3.3
2) Dutch 3.56
3) Southeast_English 5.29
4) Southwest_English 5.42
5) Danish 5.5
6) Irish 6.33
7) Orcadian 6.56
8) West_Scottish 6.62
9) Norwegian 6.79
10) Swedish 7.4
11) French 9.46
12) North_Swedish 9.72
13) Hungarian 13.79
14) Austrian 14
15) Southwest_Finnish 14.05
16) Finnish 16.99
17) Spanish_Galicia 17.29
18) Serbian 17.45
19) Spanish_Cataluna 17.64
20) Portuguese 18.5

1) 92.4% Dutch + 7.6% Sephardic_Jewish @ 1.33
2) 94% Dutch + 6% Palestinian @ 1.34
3) 94.1% Dutch + 5.9% Samaritan @ 1.37
4) 93.9% Dutch + 6.1% Jordanian @ 1.41
5) 93.7% Dutch + 6.3% Syrian @ 1.42
6) 93.9% Dutch + 6.1% Bedouin @ 1.43
7) 94.3% Dutch + 5.7% Lebanese_Christian @ 1.44
8) 93.7% Dutch + 6.3% Lebanese_Muslim @ 1.46
9) 94.3% Dutch + 5.7% Lebanese_Druze @ 1.46
10) 93.6% Dutch + 6.4% Cyprian @ 1.47
11) 91.1% Dutch + 8.9% Ashkenazi @ 1.49
12) 94.1% Dutch + 5.9% Egyptian @ 1.5
13) 95% Dutch + 5% Yemenite_Jewish @ 1.51
14) 79.1% Orcadian + 20.9% Bulgarian @ 1.58
15) 76.8% Orcadian + 23.2% Romanian @ 1.66
16) 56.4% Swedish + 43.6% French @ 1.66
17) 94.9% Dutch + 5.1% Saudi @ 1.66
18) 89.3% Dutch + 10.7% Tuscan @ 1.66
19) 90.7% Dutch + 9.3% Greek @ 1.74
20) 73.3% Orcadian + 26.7% Serbian @ 1.77

Oracle 4:
1) North_Sea 34.73
2) Atlantic 25.01
3) Baltic 11.95
4) Eastern_Euro 9.01
5) West_Med 8.62
6) East_Med 4.36
7) West_Asian 3.71
8) Red_Sea 1.72
9) South_Asian 0.90

Using 1 population approximation:
1) Dutch @ 3.834
2) German @ 3.846
3) Southeast_English @ 5.897
4) Southwest_English @ 6.018
5) Danish @ 6.080
6) Irish @ 7.092
7) Orcadian @ 7.323
8) West_Scottish @ 7.402
9) Norwegian @ 7.654
10) Swedish @ 8.384
165 iterations.

Using 2 populations approximation:
1) 50% French +50% Swedish @ 2.301
2) 50% Dutch +50% German @ 2.664
3) 50% French +50% Norwegian @ 2.896
4) 50% German +50% Orcadian @ 3.278
5) 50% Danish +50% German @ 3.536
6) 50% German +50% Southeast_English @ 3.672
7) 50% German +50% Norwegian @ 3.714
8) 50% German +50% Southwest_English @ 3.821
9) 50% Dutch +50% Dutch @ 3.834
10) 50% German +50% German @ 3.846
13695 iterations.

Using 3 populations approximation:
1) 50% Orcadian +25% Irish +25% Serbian @ 1.792
2) 50% Orcadian +25% Serbian +25% West_Scottish @ 1.848
3) 50% Orcadian +25% Serbian +25% Southeast_English @ 1.903
4) 50% Orcadian +25% Orcadian +25% Serbian @ 1.910
5) 50% Orcadian +25% Orcadian +25% Romanian @ 1.965
6) 50% Orcadian +25% Serbian +25% Southwest_English @ 1.986
7) 50% Orcadian +25% Danish +25% Serbian @ 2.025
8) 50% Dutch +25% French +25% Swedish @ 2.072
9) 50% Norwegian +25% French +25% German @ 2.076
10) 50% Swedish +25% North_Italian +25% Orcadian @ 2.078
280924 iterations.

Using 4 populations approximation:
1) French + German + Orcadian + Swedish @ 1.733
2) Irish + Orcadian + Orcadian + Serbian @ 1.792
3) Orcadian + Orcadian + Serbian + West_Scottish @ 1.848
4) Dutch + French + German + Swedish @ 1.883
5) Danish + French + German + Swedish @ 1.893
6) Orcadian + Orcadian + Serbian + Southeast_English @ 1.903
7) Orcadian + Orcadian + Orcadian + Serbian @ 1.910
8) Orcadian + Orcadian + Orcadian + Romanian @ 1.965
9) Orcadian + Orcadian + Serbian + Southwest_English @ 1.986
10) French + German + Norwegian + Swedish @ 2.015
11) Danish + Orcadian + Orcadian + Serbian @ 2.025
12) Dutch + Dutch + French + Swedish @ 2.072
13) French + German + Norwegian + Norwegian @ 2.076
14) North_Italian + Orcadian + Swedish + Swedish @ 2.078
15) Orcadian + Spanish_Extremadura + Swedish + Swedish @ 2.080
16) Dutch + French + German + Norwegian @ 2.083
17) French + German + Swedish + West_Scottish @ 2.109
18) French + German + Norwegian + Orcadian @ 2.109
19) Orcadian + Orcadian + Romanian + West_Scottish @ 2.109
20) Danish + Dutch + French + Swedish @ 2.125

Oracle X:

Pct. Calc. Option 1

1) Dutch 90.16%
2) Spanish_Castilla_Y_Leon 4.15%
3) Lebanese_Druze 3.22%
4) Saudi 1.25%
5) Lithuanian 0.41%
6) Yoruban 0.37%
7) Chenchu 0.24%
8) Papuan 0.20%
9) Egyptian 0.00%
10) Greek 0.00%

Total RMSD: 0.286413

Pct. Calc. Option 2

0) Unable to determine 0.02%
1) Dutch 43.95%
2) German 15.45%
3) Southwest_English 7.32%
4) Egyptian 7.03%
5) Swedish 6.84%
6) Irish 6.29%
7) Norwegian 6.25%
8) Orcadian 5.79%
9) Greek 1.05%
10) Sephardic_Jewish 0.01%

Total RMSD: 0.424070

Dr_McNinja
11-09-2013, 03:33 PM
Does anyone know the reference populations for EUTest V2 K15?

Anglecynn
11-09-2013, 05:46 PM
Father:
1) North_Sea 37.92
2) Atlantic 25.18
3) Baltic 12.04
4) West_Med 9.36
5) Eastern_Euro 8.41
6) East_Med 4.38
7) Red_Sea 1.35
8) South_Asian 0.68
9) Amerindian 0.44
10) West_Asian 0.25

1) Dutch 4.15
2) Orcadian 5.13
3) Danish 5.79
4) Norwegian 5.8
5) Southeast_English 5.88
6) Southwest_English 6
7) West_Scottish 6.5
8) Irish 6.58
9) German 6.9
10) Swedish 6.91
11) North_Swedish 10.05
12) French 11.58
13) Southwest_Finnish 15.48
14) Hungarian 16.59
15) Austrian 17.3
16) Finnish 18.32
17) Spanish_Galicia 18.75
18) Spanish_Cataluna 19.26
19) Portuguese 20.07
20) Spanish_Castilla_Y_Leon 20.47

1) 81.6% Norwegian + 18.4% Spanish_Murcia @ 3.22
2) 80.9% Norwegian + 19.1% Spanish_Castilla_Y_Leon @ 3.29
3) 80% Norwegian + 20% Spanish_Cataluna @ 3.33
4) 80.7% Norwegian + 19.3% Portuguese @ 3.34
5) 81.9% Norwegian + 18.1% Spanish_Extremadura @ 3.34
6) 79.6% Norwegian + 20.4% Spanish_Galicia @ 3.36
7) 83.7% Norwegian + 16.3% Spanish_Aragon @ 3.4
8) 83.3% Norwegian + 16.7% Spanish_Valencia @ 3.45
9) 83.7% Norwegian + 16.3% Spanish_Castilla_La_Mancha @ 3.53
10) 70.5% Norwegian + 29.5% French @ 3.54
11) 84.6% Norwegian + 15.4% Spanish_Andalucia @ 3.58
12) 82.8% Norwegian + 17.2% Spanish_Cantabria @ 3.59
13) 92.9% Orcadian + 7.1% Sardinian @ 3.62
14) 83.6% Orcadian + 16.4% Spanish_Galicia @ 3.63
15) 87.2% Orcadian + 12.8% North_Italian @ 3.69
16) 92.9% Orcadian + 7.1% Algerian @ 3.76
17) 85% Orcadian + 15% Portuguese @ 3.77
18) 78.7% Swedish + 21.3% Spanish_Murcia @ 3.77
19) 89.2% Orcadian + 10.8% Tuscan @ 3.78
20) 93.1% Orcadian + 6.9% Moroccan @ 3.78

Oracle 4:

1) North_Sea 38.44
2) Atlantic 25.53
3) Baltic 12.21
4) West_Med 9.49
5) Eastern_Euro 8.53
6) East_Med 4.44
7) Red_Sea 1.37

Using 1 population approximation:
1) Dutch @ 5.206
2) Orcadian @ 5.924
3) Norwegian @ 6.844
4) Danish @ 6.918
5) Southeast_English @ 7.056
6) Southwest_English @ 7.197
7) West_Scottish @ 7.614
8) Irish @ 7.788
9) Swedish @ 8.040
10) German @ 8.591
165 iterations.

Using 2 populations approximation:
1) 50% Southwest_English +50% Swedish @ 4.884
2) 50% Norwegian +50% Southwest_English @ 4.886
3) 50% Dutch +50% Orcadian @ 5.053
4) 50% Norwegian +50% Southeast_English @ 5.079
5) 50% Southeast_English +50% Swedish @ 5.176
6) 50% Dutch +50% Dutch @ 5.206
7) 50% Orcadian +50% Southwest_English @ 5.529
8) 50% German +50% Orcadian @ 5.567
9) 50% Dutch +50% Southeast_English @ 5.571
10) 50% Dutch +50% Norwegian @ 5.577
13695 iterations.

Using 3 populations approximation:
1) 50% Orcadian +25% French +25% Swedish @ 4.272
2) 50% Norwegian +25% French +25% Orcadian @ 4.380
3) 50% Orcadian +25% French +25% Norwegian @ 4.411
4) 50% Orcadian +25% Spanish_Galicia +25% Swedish @ 4.428
5) 50% Swedish +25% Orcadian +25% Spanish_Galicia @ 4.448
6) 50% Swedish +25% French +25% Orcadian @ 4.493
7) 50% Norwegian +25% Orcadian +25% Spanish_Galicia @ 4.502
8) 50% Swedish +25% Orcadian +25% Spanish_Cataluna @ 4.544
9) 50% Swedish +25% Orcadian +25% Portuguese @ 4.596
10) 50% Norwegian +25% Orcadian +25% Spanish_Cataluna @ 4.641
341716 iterations.

Using 4 populations approximation:
1) French + Orcadian + Orcadian + Swedish @ 4.272
2) French + Norwegian + Orcadian + Swedish @ 4.379
3) French + Norwegian + Norwegian + Orcadian @ 4.380
4) French + Norwegian + Orcadian + Orcadian @ 4.411
5) Norwegian + Orcadian + Spanish_Galicia + Swedish @ 4.417
6) Orcadian + Orcadian + Spanish_Galicia + Swedish @ 4.428
7) Orcadian + Spanish_Galicia + Swedish + Swedish @ 4.448
8) French + Orcadian + Swedish + Swedish @ 4.493
9) Norwegian + Norwegian + Orcadian + Spanish_Galicia @ 4.502
10) Norwegian + Orcadian + Spanish_Cataluna + Swedish @ 4.537
11) Orcadian + Spanish_Cataluna + Swedish + Swedish @ 4.544
12) Norwegian + Orcadian + Portuguese + Swedish @ 4.595
13) Orcadian + Portuguese + Swedish + Swedish @ 4.596
14) Dutch + French + Orcadian + Swedish @ 4.602
15) Norwegian + Norwegian + Orcadian + Spanish_Cataluna @ 4.641
16) Norwegian + Orcadian + Orcadian + Spanish_Galicia @ 4.644
17) Dutch + French + Norwegian + Orcadian @ 4.662
18) French + Norwegian + Swedish + West_Scottish @ 4.684
19) Norwegian + Norwegian + Norwegian + Spanish_Cataluna @ 4.690
20) Norwegian + Orcadian + Spanish_Castilla_Y_Leon + Swedish @ 4.694
1687549 iterations.

Oracle X:
Pct. Calc. Option 1

1) Orcadian 69.08%
2) Dutch 11.83%
3) Spanish_Galicia 11.67%
4) Estonian 5.61%
5) Yemenite_Jewish 1.76%
6) Portuguese 0.04%
7) Hungarian 0.01%
8) Spanish_Castilla_Y_Leon 0.00%
9) Algerian 0.00%
10) Spanish_Murcia 0.00%

Total RMSD: 0.943691

Pct. Calc. Option 2

0) Unable to determine 0.02%
1) Dutch 41.85%
2) Orcadian 34.39%
3) Swedish 6.92%
4) Algerian 5.89%
5) Spanish_Galicia 4.76%
6) Portuguese 4.00%
7) North_Swedish 1.09%
8) Hungarian 1.08%
9) Yemenite_Jewish 0.01%
10) Moroccan 0.00%

Total RMSD: 1.237445

Anglecynn
11-09-2013, 05:57 PM
Grandfather:
(Ancestry mostly from east and south-east England, with minor Irish somewhere, not been reliably identified yet so i don't know from where in Ireland unfortunately, or when :/)
1) North_Sea 37.7
2) Atlantic 25.81
3) Baltic 13.72
4) Eastern_Euro 8.22
5) West_Med 7.26
6) East_Med 4.19
7) West_Asian 2.22
8) South_Asian 0.69
9) Siberian 0.19

1) Dutch 3.71
2) Orcadian 4.86
3) Norwegian 4.97
4) Danish 5.04
5) Swedish 5.37
6) Irish 5.63
7) Southeast_English 5.66
8) West_Scottish 5.74
9) German 5.96
10) Southwest_English 6.5
11) North_Swedish 9.05
12) French 12.75
13) Southwest_Finnish 14.32
14) Hungarian 15.95
15) Austrian 16.52
16) Finnish 17.23
17) Spanish_Galicia 20.39
18) Spanish_Cataluna 20.43
19) Serbian 20.58
20) Polish 21.32

1) 51.7% Swedish + 48.3% Southeast_English @ 2.76
2) 56.4% Swedish + 43.6% Southwest_English @ 2.98
3) 85.1% Swedish + 14.9% Spanish_Aragon @ 3.03
4) 80.5% Orcadian + 19.5% Hungarian @ 3.03
5) 84.7% Swedish + 15.3% Spanish_Valencia @ 3.07
6) 83.8% Swedish + 16.2% Spanish_Murcia @ 3.09
7) 82.2% Swedish + 17.8% Spanish_Cataluna @ 3.1
8) 85.1% Swedish + 14.9% Spanish_Castilla_La_Mancha @ 3.17
9) 83.3% Swedish + 16.7% Spanish_Castilla_Y_Leon @ 3.2
10) 87.7% Swedish + 12.3% French_Basque @ 3.24
11) 81.8% Orcadian + 18.2% Austrian @ 3.26
12) 86% Swedish + 14% Spanish_Andalucia @ 3.27
13) 51.8% Swedish + 48.2% Irish @ 3.27
14) 74.5% Swedish + 25.5% French @ 3.32
15) 84.5% Swedish + 15.5% Spanish_Extremadura @ 3.35
16) 88.5% Orcadian + 11.5% Bulgarian @ 3.35
17) 86.1% Orcadian + 13.9% Ukrainian_West @ 3.35
18) 84.8% Swedish + 15.2% Spanish_Cantabria @ 3.38
19) 55.5% Norwegian + 44.5% Southeast_English @ 3.39
20) 87.3% Orcadian + 12.7% Romanian @ 3.39

Oracle 4:
1) North_Sea 38.03
2) Atlantic 26.04
3) Baltic 13.84
4) Eastern_Euro 8.30
5) West_Med 7.33
6) East_Med 4.23
7) West_Asian 2.24

Using 1 population approximation:
1 Dutch @ 4.448
2 Orcadian @ 5.559
3 Norwegian @ 5.847
4 Danish @ 5.958
5 Swedish @ 6.258
6 Irish @ 6.538
7 Southeast_English @ 6.595
8 West_Scottish @ 6.635
9 German @ 7.231
10 Southwest_English @ 7.518
165 iterations.

Using 2 populations approximation:
1 50% Southeast_English +50% Swedish @ 3.302
2 50% Southwest_English +50% Swedish @ 3.671
3 50% Irish +50% Swedish @ 3.819
4 50% Norwegian +50% Southeast_English @ 4.041
5 50% Swedish +50% West_Scottish @ 4.066
6 50% Danish +50% Swedish @ 4.091
7 50% German +50% Orcadian @ 4.258
8 50% Irish +50% Norwegian @ 4.265
9 50% Dutch +50% Swedish @ 4.401
10 50% Dutch +50% Orcadian @ 4.447
13695 iterations.

Using 3 populations approximation:
1 50% Southeast_English +25% Swedish +25% Swedish @ 3.302
2 50% Swedish +25% Southeast_English +25% Southeast_English @ 3.302
3 50% Swedish +25% Southeast_English +25% Southwest_English @ 3.424
4 50% Swedish +25% Irish +25% Southeast_English @ 3.499
5 50% Swedish +25% Irish +25% Southwest_English @ 3.534
6 50% Swedish +25% Southeast_English +25% West_Scottish @ 3.615
7 50% Southeast_English +25% Norwegian +25% Swedish @ 3.620
8 50% Swedish +25% Danish +25% Southeast_English @ 3.631
9 50% Swedish +25% German +25% Southeast_English @ 3.632
10 50% Swedish +25% Southwest_English +25% West_Scottish @ 3.635
319240 iterations.

Using 4 populations approximation:
1 Southeast_English + Southeast_English + Swedish + Swedish @ 3.302
2 Southeast_English + Southwest_English + Swedish + Swedish @ 3.424
3 Irish + Southeast_English + Swedish + Swedish @ 3.499
4 Irish + Southwest_English + Swedish + Swedish @ 3.534
5 Southeast_English + Swedish + Swedish + West_Scottish @ 3.615
6 Norwegian + Southeast_English + Southeast_English + Swedish @ 3.620
7 Danish + Southeast_English + Swedish + Swedish @ 3.631
8 German + Southeast_English + Swedish + Swedish @ 3.632
9 German + Orcadian + Southeast_English + Swedish @ 3.634
10 Southwest_English + Swedish + Swedish + West_Scottish @ 3.635
11 Dutch + Southeast_English + Swedish + Swedish @ 3.645
12 Danish + Southwest_English + Swedish + Swedish @ 3.657
13 German + Irish + Orcadian + Swedish @ 3.661
14 French + Orcadian + Swedish + Swedish @ 3.663
15 Southwest_English + Southwest_English + Swedish + Swedish @ 3.671
16 German + Orcadian + Orcadian + Swedish @ 3.692
17 French + Swedish + Swedish + West_Scottish @ 3.695
18 Orcadian + Southeast_English + Swedish + Swedish @ 3.709
19 German + Norwegian + Southeast_English + Swedish @ 3.720
20 French + Irish + Swedish + Swedish @ 3.732

1427834 iterations.

Oracle X:
Pct. Calc. Option 1

1 Swedish 65.26%
2 Dutch 22.48%
3 Spanish_Murcia 8.85%
4 Spanish_Valencia 3.35%
5 Spanish_Castilla_Y_Leon 0.03%
6 Spanish_Cataluna 0.01%
7 Lebanese_Druze 0.01%
8 French 0.01%
9 North_Italian 0.00%
10 Tuscan 0.00%

Total RMSD: 0.922477

Pct. Calc. Option 2

0 Unable to determine 0.01%
1 Dutch 45.22%
2 West_Scottish 9.63%
3 Orcadian 9.36%
4 Norwegian 9.10%
5 Irish 8.96%
6 Swedish 7.90%
7 Lebanese_Druze 5.96%
8 Estonian 2.79%
9 North_Swedish 1.07%
10 Hungarian 0.00%
Total RMSD: 1.119914

Anglecynn
11-09-2013, 06:13 PM
Grandmother:
(Half of her ancestry is from Cheshire and the west Midlands, with a Norman surname, and the other half is from London, Hertfordshire, possibly Essex and also Devon)

1) North_Sea 36.95
2) Atlantic 29.05
3) West_Med 11.56
4) Baltic 9.14
5) Eastern_Euro 8.17
6) West_Asian 2.63
7) Red_Sea 1.27
8) Southeast_Asian 1.18
9) East_Med 0.05

1) Southwest_English 2.76
2) Southeast_English 4.04
3) West_Scottish 5.06
4) Irish 5.13
5) Danish 5.38
6) Dutch 5.56
7) Orcadian 5.88
8) German 7.64
9) Norwegian 8.72
10) Swedish 10.41
11) French 10.77
12) North_Swedish 13.23
13) Spanish_Cataluna 17.92
14) Spanish_Galicia 18
15) Southwest_Finnish 18.03
16) Austrian 18.87
17) Spanish_Castilla_Y_Leon 19.13
18) Portuguese 19.15
19) Hungarian 19.39
20) Spanish_Cantabria 19.9

1) 84.4% Southwest_English + 15.6% Orcadian @ 2.58
2) 83.2% Orcadian + 16.8% French_Basque @ 2.64
3) 99.4% Southwest_English + 0.6% Dai @ 2.67
4) 99.4% Southwest_English + 0.6% She @ 2.68
5) 99.4% Southwest_English + 0.6% Vietnamese @ 2.68
6) 99.4% Southwest_English + 0.6% Miaozu @ 2.68
7) 99.4% Southwest_English + 0.6% Tujia @ 2.68
8) 99.4% Southwest_English + 0.6% Lahu @ 2.69
9) 99.4% Southwest_English + 0.6% Cambodian @ 2.71
10) 99.4% Southwest_English + 0.6% Yizu @ 2.71
11) 99.4% Southwest_English + 0.6% Naxi @ 2.71
12) 89.8% Southwest_English + 10.2% West_Scottish @ 2.71
13) 94.5% Southwest_English + 5.5% Norwegian @ 2.71
14) 99.5% Southwest_English + 0.5% Malay @ 2.71
15) 99.5% Southwest_English + 0.5% Japanese @ 2.72
16) 99.5% Southwest_English + 0.5% Tu @ 2.72
17) 99.6% Southwest_English + 0.4% Tibeto-Burman_Burmese @ 2.74
18) 99.6% Southwest_English + 0.4% Xibo @ 2.74
19) 99.6% Southwest_English + 0.4% Hezhen @ 2.74
20) 98.1% Southwest_English + 1.9% Swedish @ 2.75

Oracle 4:
1) North_Sea 36.97
2) Atlantic 29.06
3) West_Med 11.57
4) Baltic 9.14
5) Eastern_Euro 8.17
6) West_Asian 2.63
7) Red_Sea 1.27
8) Southeast_Asian 1.18

Using 1 population approximation:
1 Southwest_English @ 3.134
2 Southeast_English @ 4.549
3 West_Scottish @ 5.605
4 Irish @ 5.687
5 Danish @ 6.003
6 Dutch @ 6.352
7 Orcadian @ 6.623
8 German @ 8.859
9 Norwegian @ 9.936
10 Swedish @ 11.850
165 iterations.

Using 2 populations approximation:
1 50% Southwest_English +50% Southwest_English @ 3.134
2 50% Southeast_English +50% Southwest_English @ 3.659
3 50% Southwest_English +50% West_Scottish @ 3.669
4 50% Orcadian +50% Southwest_English @ 3.737
5 50% Irish +50% Southwest_English @ 3.864
6 50% Danish +50% Southwest_English @ 4.000
7 50% Dutch +50% Southwest_English @ 4.125
8 50% Southeast_English +50% Southeast_English @ 4.549
9 50% Orcadian +50% Southeast_English @ 4.759
10 50% Dutch +50% Southeast_English @ 4.807
13695 iterations.

Using 3 populations approximation:
1 50% Southwest_English +25% Orcadian +25% Southwest_English @ 2.946
2 50% Southwest_English +25% Southwest_English +25% Southwest_English @ 3.134
3 50% Southwest_English +25% Southwest_English +25% West_Scottish @ 3.139
4 50% Southwest_English +25% Irish +25% Southwest_English @ 3.292
5 50% Southwest_English +25% Southeast_English +25% Southwest_English @ 3.337
6 50% Southwest_English +25% Danish +25% Southwest_English @ 3.343
7 50% Southwest_English +25% Orcadian +25% Southeast_English @ 3.357
8 50% Southwest_English +25% Dutch +25% Southwest_English @ 3.376
9 50% Southwest_English +25% Orcadian +25% West_Scottish @ 3.508
10 50% Southwest_English +25% Irish +25% Orcadian @ 3.517
318558 iterations.

Using 4 populations approximation:
1 Orcadian + Southwest_English + Southwest_English + Southwest_English @ 2.946
2 Southwest_English + Southwest_English + Southwest_English + Southwest_English @ 3.134
3 Southwest_English + Southwest_English + Southwest_English + West_Scottish @ 3.139
4 Irish + Southwest_English + Southwest_English + Southwest_English @ 3.292
5 Southeast_English + Southwest_English + Southwest_English + Southwest_English @ 3.337
6 Danish + Southwest_English + Southwest_English + Southwest_English @ 3.343
7 Orcadian + Southeast_English + Southwest_English + Southwest_English @ 3.357
8 Dutch + Southwest_English + Southwest_English + Southwest_English @ 3.376
9 Orcadian + Southwest_English + Southwest_English + West_Scottish @ 3.508
10 Irish + Orcadian + Southwest_English + Southwest_English @ 3.517
11 Southeast_English + Southwest_English + Southwest_English + West_Scottish @ 3.574
12 Orcadian + Orcadian + Orcadian + Spanish_Cantabria @ 3.596
13 Norwegian + Southwest_English + Southwest_English + Southwest_English @ 3.601
14 Dutch + Southwest_English + Southwest_English + West_Scottish @ 3.633
15 Dutch + Southeast_English + Southwest_English + Southwest_English @ 3.653
16 Southeast_English + Southeast_English + Southwest_English + Southwest_English @ 3.659
17 Southwest_English + Southwest_English + West_Scottish + West_Scottish @ 3.669
18 Irish + Southeast_English + Southwest_English + Southwest_English @ 3.695
19 Danish + Orcadian + Southwest_English + Southwest_English @ 3.697
20 Dutch + Irish + Southwest_English + Southwest_English @ 3.718

Oracle X:
Pct. Calc. Option 1
1 Southwest_English 47.66%
2 Orcadian 44.39%
3 French_Basque 7.35%
4 Dai 0.60%
5 Portuguese 0.00%
6 Dutch 0.00%
7 French 0.00%
8 Spanish_Galicia 0.00%
9 Spanish_Cantabria 0.00%
10 Norwegian 0.00%
Total RMSD: 0.697734

Pct. Calc. Option 2

1 Southwest_English 70.99%
2 Orcadian 14.97%
3 Norwegian 6.69%
4 French_Basque 4.05%
5 West_Scottish 1.10%
6 Spanish_Galicia 1.10%
7 She 1.10%
8 French 0.00%
9 Dutch 0.00%
10 Spanish_Cantabria 0.00%

Total RMSD: 0.803184

Anglecynn
11-09-2013, 06:23 PM
Mother:
(Ancestry is from a variety of places, predominantly Kent/Hampshire, Lincolnshire + Yorkshire, Pembrokeshire and Southwest Scotland, possibly also Norfolk) In addition to that it looks like she has some southern European (probably Italian) ancestry in the order of 3-6%, although that's not been found on paper records yet.

1) North_Sea 31.18
2) Atlantic 23.94
3) Baltic 14.2
4) West_Med 10.32
5) West_Asian 8.25
6) Eastern_Euro 7.43
7) East_Med 2.42
8) South_Asian 1.25
9) Sub-Saharan 0.54
10) Oceanian 0.48

1 German 4.08
2 Dutch 7.55
3 Southwest_English 8.01
4 Southeast_English 8.64
5 Irish 9.47
6 French 9.52
7 Danish 9.52
8 West_Scottish 10.22
9 Swedish 10.35
10 Norwegian 10.41
11 Orcadian 10.83
12 Hungarian 11.76
13 Austrian 11.94
14 North_Swedish 12.32
15 Southwest_Finnish 14.6
16 Serbian 15.51
17 Spanish_Galicia 16.86
18 Spanish_Cataluna 16.93
19 Finnish 17.27
20 Portuguese 18.01

1 94.7% German + 5.3% North_Ossetian @ 3.11
2 95.5% German + 4.5% Abhkasian @ 3.16
3 94.6% German + 5.4% Balkar @ 3.18
4 95.3% German + 4.7% Georgian @ 3.21
5 94.5% German + 5.5% Chechen @ 3.22
6 94.9% German + 5.1% Adygei @ 3.23
7 94.6% German + 5.4% Kumyk @ 3.32
8 95% German + 5% Lezgin @ 3.41
9 94.9% German + 5.1% Nogay @ 3.53
10 96.2% German + 3.8% Brahui @ 3.55
11 96.2% German + 3.8% Makrani @ 3.56
12 96.2% German + 3.8% Balochi @ 3.56
13 95.3% German + 4.7% Tadjik @ 3.59
14 96.2% German + 3.8% Armenian @ 3.59
15 96.5% German + 3.5% Pathan @ 3.63
16 96.9% German + 3.1% Sindhi @ 3.65
17 96.7% German + 3.3% Burusho @ 3.67
18 95.9% German + 4.1% Turkish @ 3.67
19 96.7% German + 3.3% Punjabi_Jat @ 3.67
20 96.5% German + 3.5% Kurdish @ 3.68
(I gave up putting brackets next to the numbers, it got boring)

Oracle 4:
1 North_Sea 31.50
2 Atlantic 24.19
3 Baltic 14.34
4 West_Med 10.43
5 West_Asian 8.34
6 Eastern_Euro 7.50
7 East_Med 2.44
8 South_Asian 1.26

Using 1 population approximation:
1 German @ 4.584
2 Dutch @ 8.601
3 Southwest_English @ 9.114
4 Southeast_English @ 9.867
5 Irish @ 10.766
6 Danish @ 10.848
7 French @ 10.919
8 West_Scottish @ 11.646
9 Swedish @ 11.867
10 Norwegian @ 11.947
165 iterations.

Using 2 populations approximation:
1 50% German +50% German @ 4.584
2 50% Hungarian +50% Southwest_English @ 5.629
3 50% Hungarian +50% Irish @ 5.930
4 50% Hungarian +50% Southeast_English @ 5.937
5 50% Hungarian +50% West_Scottish @ 6.104
6 50% Dutch +50% German @ 6.312
7 50% French +50% Swedish @ 6.345
8 50% German +50% Southwest_English @ 6.413
9 50% French +50% German @ 6.556
10 50% Austrian +50% Orcadian @ 6.556
13695 iterations.

Using 3 populations approximation:
1 50% German +25% German +25% German @ 4.584
2 50% German +25% Hungarian +25% Southwest_English @ 4.605
3 50% Southwest_English +25% Romanian +25% Swedish @ 4.694
4 50% Southwest_English +25% German +25% Hungarian @ 4.824
5 50% German +25% Hungarian +25% Southeast_English @ 4.867
6 50% Southwest_English +25% Bulgarian +25% Swedish @ 4.875
7 50% German +25% Hungarian +25% Irish @ 4.905
8 50% Southwest_English +25% Norwegian +25% Romanian @ 4.951
9 50% German +25% German +25% Hungarian @ 4.960
10 50% Dutch +25% Romanian +25% Southwest_English @ 4.997
365630 iterations.

Using 4 populations approximation:
1 German + German + German + German @ 4.584
2 German + German + Hungarian + Southwest_English @ 4.605
3 Romanian + Southwest_English + Southwest_English + Swedish @ 4.694
4 German + Romanian + Southwest_English + Swedish @ 4.790
5 Irish + Romanian + Southwest_English + Swedish @ 4.796
6 German + Hungarian + Southwest_English + Southwest_English @ 4.824
7 Bulgarian + Irish + Southwest_English + Swedish @ 4.846
8 German + Norwegian + Romanian + Southwest_English @ 4.860
9 German + German + Hungarian + Southeast_English @ 4.867
10 Dutch + German + Irish + Romanian @ 4.871
11 Bulgarian + Southwest_English + Southwest_English + Swedish @ 4.875
12 German + Orcadian + Romanian + Southwest_English @ 4.882
13 German + German + Hungarian + Irish @ 4.905
14 Romanian + Southeast_English + Southwest_English + Swedish @ 4.905
15 German + Irish + Norwegian + Romanian @ 4.936
16 German + Irish + Romanian + Southwest_English @ 4.938
17 German + Irish + Romanian + Swedish @ 4.939
18 Dutch + German + Romanian + Southwest_English @ 4.940
19 German + Irish + Orcadian + Romanian @ 4.943
20 Norwegian + Romanian + Southwest_English + Southwest_English @ 4.951

Oracle X:
Pct. Calc. Option 1

1 German 40.55%
2 Southwest_English 25.33%
3 Swedish 18.37%
4 North_Ossetian 7.29%
5 Ukrainian_West 4.95%
6 Sardinian 3.18%
7 Chenchu 0.33%
8 Hungarian 0.00%
9 Abhkasian 0.00%
10 Polish 0.00%

Total RMSD: 0.795838

Pct. Calc. Option 2

0 Unable to determine 0.01%
1 German 51.53%
2 Irish 18.66%
3 Abhkasian 6.41%
4 Swedish 5.73%
5 Norwegian 5.34%
6 Sardinian 5.12%
7 Ukrainian_West 4.61%
8 Lithuanian 1.52%
9 Estonian 1.07%
10 North_Ossetian 0.00%

Total RMSD: 0.927347

Anglecynn
11-09-2013, 06:28 PM
Aunt:
(Same ancestry as my mother)

1 North_Sea 34.67
2 Atlantic 24.37
3 Baltic 12.6
4 West_Med 12
5 Eastern_Euro 7.27
6 West_Asian 4.34
7 East_Med 2.01
8 South_Asian 1.8
9 Amerindian 0.64
10 Oceanian 0.31

1 German 4.64
2 Dutch 4.99
3 Southwest_English 5.05
4 Southeast_English 6.31
5 Danish 7.39
6 Irish 7.52
7 Orcadian 7.78
8 Norwegian 7.97
9 West_Scottish 8.03
10 Swedish 8.75
11 French 9.05
12 North_Swedish 11.53
13 Hungarian 14.47
14 Austrian 15.1
15 Southwest_Finnish 15.55
16 Spanish_Galicia 16.42
17 Spanish_Cataluna 16.88
18 Portuguese 17.82
19 Spanish_Castilla_Y_Leon 18.17
20 Finnish 18.34

1 92% Dutch + 8% Sardinian @ 3.18
2 70.5% Swedish + 29.5% Spanish_Cantabria @ 3.29
3 51% Swedish + 49% French @ 3.31
4 53.8% Norwegian + 46.2% French @ 3.37
5 69.7% Norwegian + 30.3% Spanish_Cataluna @ 3.44
6 67.3% Swedish + 32.7% Spanish_Cataluna @ 3.44
7 79.3% Southwest_English + 20.7% Hungarian @ 3.47
8 81.8% Dutch + 18.2% Spanish_Galicia @ 3.48
9 71.3% Norwegian + 28.7% Spanish_Castilla_Y_Leon @ 3.49
10 85.1% Southwest_English + 14.9% Ukrainian_West @ 3.5
11 73% Norwegian + 27% Spanish_Cantabria @ 3.53
12 69.2% Norwegian + 30.8% Spanish_Galicia @ 3.53
13 86.2% Norwegian + 13.8% Sardinian @ 3.55
14 70.5% Dutch + 29.5% French @ 3.57
15 76% Norwegian + 24% Spanish_Andalucia @ 3.57
16 66.8% Swedish + 33.2% Spanish_Galicia @ 3.59
17 86.3% Dutch + 13.7% North_Italian @ 3.62
18 83.6% Dutch + 16.4% Portuguese @ 3.63
19 71.1% Norwegian + 28.9% Portuguese @ 3.63
20 85.8% Southwest_English + 14.2% Ukrainian @ 3.63

Oracle 4:
1 North_Sea 35.00
2 Atlantic 24.60
3 Baltic 12.72
4 West_Med 12.11
5 Eastern_Euro 7.34
6 West_Asian 4.38
7 East_Med 2.02
8 South_Asian 1.81

Using 1 population approximation:
1 German @ 5.397
2 Dutch @ 5.570
3 Southwest_English @ 5.674
4 Southeast_English @ 7.166
5 Danish @ 8.330
6 Irish @ 8.496
7 Orcadian @ 8.761
8 West_Scottish @ 9.047
9 Norwegian @ 9.061
10 Swedish @ 9.891
165 iterations.

Using 2 populations approximation:
1 50% French +50% Swedish @ 3.905
2 50% French +50% Norwegian @ 4.042
3 50% German +50% Southwest_English @ 4.445
4 50% Dutch +50% German @ 4.735
5 50% Dutch +50% Southwest_English @ 4.852
6 50% Dutch +50% French @ 5.041
7 50% French +50% Orcadian @ 5.148
8 50% German +50% Southeast_English @ 5.380
9 50% German +50% German @ 5.397
10 50% German +50% Orcadian @ 5.429
13695 iterations.

Using 3 populations approximation:
1 50% Swedish +25% Southwest_English +25% Spanish_Galicia @ 3.509
2 50% Swedish +25% Southwest_English +25% Spanish_Cataluna @ 3.739
3 50% Swedish +25% Portuguese +25% Southwest_English @ 3.788
4 50% Dutch +25% Spanish_Galicia +25% Swedish @ 3.825
5 50% Swedish +25% Dutch +25% Spanish_Cantabria @ 3.827
6 50% Swedish +25% Southeast_English +25% Spanish_Galicia @ 3.840
7 50% Norwegian +25% Southwest_English +25% Spanish_Galicia @ 3.858
8 50% Southwest_English +25% French +25% Swedish @ 3.881
9 50% Norwegian +25% German +25% Spanish_Galicia @ 3.883
10 50% French +25% Swedish +25% Swedish @ 3.905
309656 iterations.

Using 4 populations approximation:
1 Southwest_English + Spanish_Galicia + Swedish + Swedish @ 3.509
2 Norwegian + Southwest_English + Spanish_Galicia + Swedish @ 3.617
3 Southwest_English + Spanish_Cataluna + Swedish + Swedish @ 3.739
4 French + German + Southwest_English + Swedish @ 3.767
5 Dutch + French + Southwest_English + Swedish @ 3.772
6 Portuguese + Southwest_English + Swedish + Swedish @ 3.788
7 Dutch + Dutch + Spanish_Galicia + Swedish @ 3.825
8 Dutch + Spanish_Cantabria + Swedish + Swedish @ 3.827
9 Southeast_English + Spanish_Galicia + Swedish + Swedish @ 3.840
10 Norwegian + Norwegian + Southwest_English + Spanish_Galicia @ 3.858
11 German + Orcadian + Spanish_Galicia + Swedish @ 3.866
12 Norwegian + Southwest_English + Spanish_Cataluna + Swedish @ 3.867
13 French + Southwest_English + Southwest_English + Swedish @ 3.881
14 German + Norwegian + Norwegian + Spanish_Galicia @ 3.883
15 German + Norwegian + Spanish_Galicia + Swedish @ 3.884
16 French + German + Norwegian + Southwest_English @ 3.892
17 Dutch + Southwest_English + Spanish_Galicia + Swedish @ 3.894
18 French + French + Swedish + Swedish @ 3.905
19 Norwegian + Southeast_English + Spanish_Galicia + Swedish @ 3.907
20 French + French + Norwegian + Swedish @ 3.909

Oracle X:
1 Swedish 47.33%
2 Southwest_English 41.80%
3 Sardinian 8.09%
4 North_Ossetian 1.51%
5 Chenchu 1.27%
6 Spanish_Galicia 0.00%
7 Ukrainian_West 0.00%
8 Pathan 0.00%
9 Hungarian 0.00%
10 French 0.00%

Total RMSD: 0.657399

Pct. Calc. Option 2

0 Unable to determine 0.02%
1 Southwest_English 57.40%
2 Swedish 15.68%
3 Norwegian 6.83%
4 Ukrainian 6.33%
5 Ukrainian_West 6.27%
6 Sardinian 5.24%
7 Pathan 2.06%
8 Pima 0.12%
9 Velamas 0.02%
10 Spanish_Galicia 0.01%

Total RMSD: 0.973463

Ahaddad
11-09-2013, 07:10 PM
Gedmatch.Com

Eurogenes EUtest V2 K15 4-Ancestors Oracle


Admix Results (sorted):

# Population Percent
1 East_Med 28.88
2 West_Asian 17.13
3 West_Med 15.57
4 Atlantic 13.84
5 North_Sea 6.76
6 Red_Sea 5.65
7 Baltic 3.98
8 Northeast_African 3.82
9 Eastern_Euro 1.92
10 South_Asian 1.55
11 Amerindian 0.89


--------------------------------

Least-squares method.

Using 1 population approximation:
1 Sephardic_Jewish @ 8.180
2 Ashkenazi @ 8.502
3 Greek @ 12.929
4 Cyprian @ 14.912
5 Tuscan @ 15.923
6 Lebanese_Muslim @ 17.341
7 Turkish @ 17.543
8 Syrian @ 18.218
9 Jordanian @ 21.387
10 Bulgarian @ 21.629
165 iterations.



Using 2 populations approximation:
1 50% Lebanese_Muslim +50% Tuscan @ 4.404
2 50% Lebanese_Muslim +50% North_Italian @ 5.242
3 50% Syrian +50% Tuscan @ 5.452
4 50% Assyrian +50% North_Italian @ 5.569
5 50% Cyprian +50% Tuscan @ 5.605
6 50% Assyrian +50% Spanish_Andalucia @ 6.046
7 50% North_Italian +50% Syrian @ 6.203
8 50% Ashkenazi +50% Sephardic_Jewish @ 6.221
9 50% Assyrian +50% Tuscan @ 6.404
10 50% Greek +50% Sephardic_Jewish @ 6.622
13695 iterations.



Using 3 populations approximation:
1 50% Sephardic_Jewish +25% Armenian +25% Spanish_Andalucia @ 3.806
2 50% Cyprian +25% Spanish_Castilla_Y_Leon +25% Turkish @ 3.811
3 50% Sephardic_Jewish +25% Armenian +25% North_Italian @ 3.847
4 50% Cyprian +25% Spanish_Cantabria +25% Turkish @ 3.849
5 50% Cyprian +25% Spanish_Castilla_La_Mancha +25% Turkish @ 3.862
6 50% Sephardic_Jewish +25% Turkish +25% Tuscan @ 3.914
7 50% Cyprian +25% Spanish_Aragon +25% Turkish @ 3.925
8 50% Lebanese_Muslim +25% Greek +25% Spanish_Andalucia @ 3.940
9 50% Sephardic_Jewish +25% Kurdish +25% North_Italian @ 4.001
10 50% Sephardic_Jewish +25% Armenian +25% Spanish_Castilla_Y_Leon @ 4.044
427772 iterations.



Using 4 populations approximation:
1 Armenian + Greek + Jordanian + Spanish_Andalucia @ 3.382
2 Armenian + Greek + Palestinian + Spanish_Andalucia @ 3.385
3 Armenian + Jordanian + Sephardic_Jewish + Southwest_French @ 3.479
4 Armenian + Greek + Samaritan + Spanish_Andalucia @ 3.586
5 Armenian + Greek + Samaritan + Spanish_Castilla_La_Mancha @ 3.666
6 Armenian + Cyprian + French_Basque + Jordanian @ 3.670
7 Armenian + Greek + Palestinian + Spanish_Castilla_La_Mancha @ 3.672
8 Ashkenazi + Assyrian + Cyprian + Spanish_Andalucia @ 3.688
9 Assyrian + Greek + Jordanian + Spanish_Andalucia @ 3.704
10 Armenian + Greek + Jordanian + Spanish_Castilla_La_Mancha @ 3.726
11 Armenian + Cyprian + Sephardic_Jewish + Spanish_Castilla_Y_Leon @ 3.736
12 Cyprian + Sephardic_Jewish + Spanish_Andalucia + Turkish @ 3.738
13 Lebanese_Muslim + Sephardic_Jewish + Spanish_Andalucia + Turkish @ 3.759
14 Armenian + Cyprian + Sephardic_Jewish + Southwest_French @ 3.760
15 Armenian + Greek + Jordanian + Spanish_Aragon @ 3.763
16 Armenian + Jordanian + Spanish_Andalucia + Tuscan @ 3.772
17 Ashkenazi + Assyrian + Cyprian + Spanish_Castilla_La_Mancha @ 3.773
18 Armenian + Greek + Jordanian + Spanish_Valencia @ 3.788
19 Armenian + Greek + Palestinian + Spanish_Aragon @ 3.788
20 Cyprian + Sephardic_Jewish + Spanish_Castilla_Y_Leon + Turkish @ 3.804

jeanL
11-18-2013, 05:56 AM
EUtest V2 K15

937

938

939

lamborghini
11-18-2013, 09:58 AM
 Unsurprisingly, many of these numbers are pretty similar. My mother and father came from two different parts of the country, but had many things in common. (Even the same not-so-common blood type, B.)
My Jtest results

Population
SOUTH_BALTIC 11.29%
EAST_EURO 10.13%
NORTH-CENTRAL_EURO 23.58%
ATLANTIC 24.90%
WEST_MED 12.23%
ASHKENAZI 3.89%
EAST_MED 3.99%
WEST_ASIAN 6.85%
MIDDLE_EASTERN 0.90%
SOUTH_ASIAN 0.22%
EAST_AFRICAN -
EAST_ASIAN 0.74%
SIBERIAN 1.27%
WEST_AFRICAN -

My dad's Jtest results

Population
SOUTH_BALTIC 11.87%
EAST_EURO 8.03%
NORTH-CENTRAL_EURO 28.18%
ATLANTIC 24.06%
WEST_MED 12.06%
ASHKENAZI 5.34%
EAST_MED 5.27%
WEST_ASIAN 4.49%
MIDDLE_EASTERN -
SOUTH_ASIAN 0.54%
EAST_AFRICAN -
EAST_ASIAN 0.06%
SIBERIAN 0.10%
WEST_AFRICAN -

Sein
11-22-2013, 06:13 AM
Has anyone else tried the updated Eurogenes K13 http://bga101.blogspot.com/2013/11/updated-eurogenes-k13-at-gedmatch.html? David said this is his best Calculator+Oracle for people of South-Central Asian ancestry. I fit the bill rather nicely, so here are my results:

K13
1 West_Asian 39.65
2 South_Asian 34.46
3 Baltic 9.39
4 East_Med 5.97
5 Siberian 2.69
6 Amerindian 2.46
7 Red_Sea 1.69
8 North_Atlantic 1.53
9 Oceanian 1.01
10 Sub-Saharan 0.59
11 East_Asian 0.55

Single Population Sharing:

# Population (source) Distance
1 Pathan 5.29
2 Kalash 7.33
3 Burusho 8.45
4 Sindhi 11.37
5 Punjabi_Jat 11.45
6 Makrani 14.06
7 Balochi 14.28
8 Brahui 14.79
9 Tadjik 19.09
10 Brahmin_UP 24.29
11 Gujarati 24.35
12 Kshatriya 25.95
13 Turkmen 27.2
14 Bangladeshi 29.77
15 Kumyk 30.45
16 Chechen 30.51
17 Lezgin 30.55
18 Iranian 30.63
19 Adygei 31.64
20 Balkar 31.99

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 88.8% Pathan + 11.2% Abhkasian @ 2.73
2 88.8% Pathan + 11.2% Georgian @ 2.85
3 88% Pathan + 12% North_Ossetian @ 2.99
4 88% Pathan + 12% Adygei @ 3.09
5 76.2% Pathan + 23.8% Makrani @ 3.11
6 88.3% Pathan + 11.7% Balkar @ 3.17
7 88% Pathan + 12% Kumyk @ 3.31
8 88.1% Pathan + 11.9% Chechen @ 3.34
9 88.9% Pathan + 11.1% Kurdish @ 3.42
10 88.3% Pathan + 11.7% Lezgin @ 3.42
11 88.4% Pathan + 11.6% Iranian @ 3.47
12 78.7% Pathan + 21.3% Brahui @ 3.58
13 78.3% Pathan + 21.7% Balochi @ 3.64
14 91.4% Pathan + 8.6% Georgian_Jewish @ 3.68
15 91.3% Pathan + 8.7% Armenian @ 3.68
16 88.2% Pathan + 11.8% Turkmen @ 3.87
17 91.8% Pathan + 8.2% Azeri_Jewish @ 3.88
18 92.3% Pathan + 7.7% Assyrian @ 3.94
19 91.4% Pathan + 8.6% Turkish @ 3.99
20 91.3% Pathan + 8.7% Nogay @ 4.15

Dr_McNinja
11-22-2013, 01:01 PM
For some reason after you click 'Oracle-4' the admixture percentages change a little. o_O

Mine (Punjabi Jatt, Gill paternal and mother is Pansota, both from near Faisalabad, Pakistan):


Population
North_Atlantic 5.96%
Baltic 6.41%
West_Med 0.60%
West_Asian 29.41%
East_Med 1.73%
Red_Sea -
South_Asian 50.43%
East_Asian -
Siberian 1.82%
Amerindian 1.92%
Oceanian 0.69%
Northeast_African -
Sub-Saharan 1.01%
Oracle-4

Least-squares method.

Using 1 population approximation:
1 Gujarati @ 7.918
2 Brahmin_UP @ 8.011
3 Kshatriya @ 9.695
4 Punjabi_Jat @ 10.702
5 Sindhi @ 12.330
6 Pathan @ 15.242
7 Bangladeshi @ 16.610
8 Burusho @ 18.005
9 Dharkar @ 18.785
10 Kanjar @ 19.950
175 iterations.



Using 2 populations approximation:
1 50% Brahmin_UP +50% Sindhi @ 2.786
2 50% Kshatriya +50% Punjabi_Jat @ 2.807
3 50% Kalash +50% Uttar_Pradesh @ 3.141
4 50% Gujarati +50% Punjabi_Jat @ 3.294
5 50% Kalash +50% Kol @ 3.608
6 50% Dharkar +50% Kalash @ 3.809
7 50% Kalash +50% Kanjar @ 3.882
8 50% Kshatriya +50% Sindhi @ 3.902
9 50% Kshatriya +50% Pathan @ 4.145
10 50% Brahmin_UP +50% Punjabi_Jat @ 4.270
15400 iterations.



Using 3 populations approximation:
1 50% Kshatriya +25% Punjabi_Jat +25% Sindhi @ 2.341
2 50% Brahmin_UP +25% Balochi +25% Dharkar @ 2.464
3 50% Punjabi_Jat +25% Chamar +25% Sindhi @ 2.509
4 50% Brahmin_UP +25% Balochi +25% Kanjar @ 2.533
5 50% Brahmin_UP +25% Punjabi_Jat +25% Sindhi @ 2.632
6 50% Brahmin_UP +25% Brahui +25% Dharkar @ 2.728
7 50% Punjabi_Jat +25% Kol +25% Sindhi @ 2.737
8 50% Punjabi_Jat +25% Chamar +25% Pathan @ 2.738
9 50% Punjabi_Jat +25% North_Kannadi +25% Sindhi @ 2.738
10 50% Brahmin_UP +25% Brahui +25% Kanjar @ 2.749
183264 iterations.



Using 4 populations approximation:
1 Brahmin_UP + Kshatriya + Punjabi_Jat + Sindhi @ 2.146
2 Brahmin_UP + Kalash + Sindhi + Uttar_Pradesh @ 2.307
3 Kshatriya + Kshatriya + Punjabi_Jat + Sindhi @ 2.341
4 Brahmin_UP + Pathan + Punjabi_Jat + Velamas @ 2.428
5 Brahmin_UP + Kurumba + Pathan + Punjabi_Jat @ 2.433
6 Brahmin_UP + Dharkar + Punjabi_Jat + Sindhi @ 2.436
7 Brahmin_UP + Kalash + Kol + Sindhi @ 2.444
8 Brahmin_UP + Kalash + Kurumba + Punjabi_Jat @ 2.462
9 Balochi + Brahmin_UP + Brahmin_UP + Dharkar @ 2.464
10 Chamar + Punjabi_Jat + Punjabi_Jat + Sindhi @ 2.509
11 Balochi + Brahmin_UP + Brahmin_UP + Kanjar @ 2.533
12 Brahmin_UP + Kalash + Punjabi_Jat + Velamas @ 2.552
13 Brahmin_UP + Gujarati + Punjabi_Jat + Sindhi @ 2.627
14 Brahmin_UP + Brahmin_UP + Punjabi_Jat + Sindhi @ 2.632
15 Brahmin_UP + Dusadh + Kalash + Punjabi_Jat @ 2.657
16 Brahmin_UP + Kalash + Pathan + Piramalai @ 2.661
17 Brahmin_UP + Gujarati + Kalash + Kshatriya @ 2.661
18 Brahmin_UP + Kalash + Piramalai + Punjabi_Jat @ 2.663
19 Brahmin_UP + Dharkar + Pathan + Sindhi @ 2.665
20 Brahmin_UP + Dharkar + Pathan + Punjabi_Jat @ 2.665
Oracle

Single Population Sharing:

# Population (source) Distance
1 Brahmin_UP 7.11
2 Gujarati 7.54
3 Kshatriya 8.83
4 Punjabi_Jat 9.25
5 Sindhi 10.72
6 Pathan 13.14
7 Bangladeshi 15.24
8 Burusho 15.94
9 Dharkar 16.78
10 Kanjar 17.88
11 Kalash 18.94
12 Velamas 20.31
13 Uttar_Pradesh 20.9
14 Kurumba 21.14
15 Kol 22.32
16 Dusadh 22.97
17 North_Kannadi 23.83
18 Chenchu 25.24
19 Piramalai 25.69
20 Balochi 28.39

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 80.7% Brahmin_UP + 19.3% Brahui @ 1.83
2 60.6% Brahmin_UP + 39.4% Sindhi @ 1.86
3 80.7% Brahmin_UP + 19.3% Makrani @ 1.89
4 80.6% Brahmin_UP + 19.4% Balochi @ 2.02
5 86.7% Gujarati + 13.3% Chechen @ 2.57
6 70.3% Punjabi_Jat + 29.7% Kurumba @ 2.6
7 65.1% Punjabi_Jat + 34.9% Dharkar @ 2.61
8 66.1% Brahmin_UP + 33.9% Pathan @ 2.62
9 86.7% Gujarati + 13.3% Lezgin @ 2.65
10 81.7% Gujarati + 18.3% Tadjik @ 2.65
11 51.3% Kshatriya + 48.7% Punjabi_Jat @ 2.67
12 69% Kshatriya + 31% Kalash @ 2.67
13 86.6% Gujarati + 13.4% Kumyk @ 2.7
14 76.6% Punjabi_Jat + 23.4% Chamar @ 2.7
15 60.5% Kshatriya + 39.5% Pathan @ 2.71
16 84.6% Kshatriya + 15.4% Chechen @ 2.71
17 87.1% Gujarati + 12.9% Balkar @ 2.71
18 85.2% Kshatriya + 14.8% North_Ossetian @ 2.72
19 84.6% Kshatriya + 15.4% Lezgin @ 2.72
20 72.1% Punjabi_Jat + 27.9% Dusadh @ 2.74
My mother's results (Punjabi Jatt, father is Pansota, mother is Balham, both from near Faisalabad, Pakistan):
Population
North_Atlantic 4.53%
Baltic 8.37%
West_Med -
West_Asian 30.47%
East_Med 3.88%
Red_Sea -
South_Asian 48.96%
East_Asian -
Siberian 0.57%
Amerindian 2.11%
Oceanian 0.40%
Northeast_African -
Sub-Saharan 0.69%
Oracle-4

Least-squares method.

Using 1 population approximation:
1 Punjabi_Jat @ 9.272
2 Gujarati @ 10.143
3 Brahmin_UP @ 10.367
4 Sindhi @ 10.972
5 Kshatriya @ 11.839
6 Pathan @ 12.890
7 Burusho @ 17.026
8 Bangladeshi @ 18.544
9 Kalash @ 20.013
10 Dharkar @ 20.874
175 iterations.



Using 2 populations approximation:
1 50% Kshatriya +50% Pathan @ 2.680
2 50% Gujarati +50% Pathan @ 3.337
3 50% Brahmin_UP +50% Pathan @ 3.652
4 50% Brahmin_UP +50% Sindhi @ 3.687
5 50% Gujarati +50% Punjabi_Jat @ 4.082
6 50% Kshatriya +50% Punjabi_Jat @ 4.084
7 50% Kalash +50% Kanjar @ 4.204
8 50% Dharkar +50% Kalash @ 4.270
9 50% Kshatriya +50% Sindhi @ 4.742
10 50% Kalash +50% Uttar_Pradesh @ 5.010
15400 iterations.



Using 3 populations approximation:
1 50% Kshatriya +25% Pathan +25% Pathan @ 2.680
2 50% Pathan +25% Kshatriya +25% Kshatriya @ 2.680
3 50% Pathan +25% Chamar +25% Punjabi_Jat @ 2.788
4 50% Pathan +25% Piramalai +25% Punjabi_Jat @ 2.788
5 50% Brahmin_UP +25% Pathan +25% Sindhi @ 2.832
6 50% Punjabi_Jat +25% Pathan +25% Piramalai @ 2.835
7 50% Kshatriya +25% Pathan +25% Punjabi_Jat @ 2.873
8 50% Pathan +25% Gujarati +25% Kshatriya @ 2.909
9 50% Pathan +25% Brahmin_UP +25% Kshatriya @ 2.943
10 50% Punjabi_Jat +25% Kol +25% Pathan @ 2.959
192510 iterations.



Using 4 populations approximation:
1 Brahmin_UP + Kshatriya + Pathan + Sindhi @ 2.666
2 Kshatriya + Kshatriya + Pathan + Pathan @ 2.680
3 Chamar + Pathan + Pathan + Punjabi_Jat @ 2.788
4 Pathan + Pathan + Piramalai + Punjabi_Jat @ 2.788
5 Brahmin_UP + Brahmin_UP + Pathan + Sindhi @ 2.832
6 Pathan + Piramalai + Punjabi_Jat + Punjabi_Jat @ 2.835
7 Kshatriya + Kshatriya + Pathan + Punjabi_Jat @ 2.873
8 Gujarati + Kshatriya + Pathan + Pathan @ 2.909
9 Gujarati + Kshatriya + Pathan + Punjabi_Jat @ 2.923
10 Brahmin_UP + Kalash + Pathan + Velamas @ 2.930
11 Brahmin_UP + Kshatriya + Pathan + Pathan @ 2.943
12 Kol + Pathan + Punjabi_Jat + Punjabi_Jat @ 2.959
13 Dusadh + Pathan + Punjabi_Jat + Punjabi_Jat @ 2.983
14 Brahmin_UP + Gujarati + Pathan + Sindhi @ 2.984
15 Pathan + Pathan + Punjabi_Jat + Sakilli @ 2.988
16 North_Kannadi + Pathan + Punjabi_Jat + Punjabi_Jat @ 2.998
17 Kol + Pathan + Pathan + Punjabi_Jat @ 2.998
18 Brahmin_UP + Kanjar + Pathan + Pathan @ 3.006
19 Pathan + Punjabi_Jat + Punjabi_Jat + Velamas @ 3.013
20 North_Kannadi + Pathan + Punjabi_Jat + Sindhi @ 3.040
Oracle

Single Population Sharing:

# Population (source) Distance
1 Punjabi_Jat 7.85
2 Brahmin_UP 9.13
3 Gujarati 9.41
4 Sindhi 9.54
5 Kshatriya 10.68
6 Pathan 10.95
7 Burusho 14.93
8 Bangladeshi 16.88
9 Kalash 17.26
10 Dharkar 18.67
11 Kanjar 19.6
12 Velamas 22.01
13 Uttar_Pradesh 22.83
14 Kurumba 23.1
15 Kol 24.18
16 Dusadh 24.78
17 North_Kannadi 25.55
18 Balochi 26.83
19 Makrani 26.9
20 Chenchu 27.1

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 50.6% Kshatriya + 49.4% Pathan @ 1.99
2 54.8% Brahmin_UP + 45.2% Pathan @ 2.4
3 69.3% Pathan + 30.7% Kol @ 2.43
4 64.6% Pathan + 35.4% Kanjar @ 2.43
5 81% Kshatriya + 19% Lezgin @ 2.46
6 83% Gujarati + 17% Lezgin @ 2.53
7 68.1% Pathan + 31.9% Uttar_Pradesh @ 2.57
8 74.3% Pathan + 25.7% Chamar @ 2.68
9 83.1% Gujarati + 16.9% Chechen @ 2.71
10 54.1% Gujarati + 45.9% Pathan @ 2.72
11 81.1% Kshatriya + 18.9% Chechen @ 2.76
12 75.5% Brahmin_UP + 24.5% Makrani @ 2.78
13 63.6% Pathan + 36.4% Dharkar @ 2.79
14 70.6% Pathan + 29.4% North_Kannadi @ 2.8
15 83% Gujarati + 17% Kumyk @ 2.81
16 83.6% Gujarati + 16.4% Adygei @ 2.87
17 81.6% Kshatriya + 18.4% Adygei @ 2.9
18 72.1% Pathan + 27.9% Piramalai @ 2.92
19 74.4% Pathan + 25.6% Sakilli @ 2.94
20 70% Pathan + 30% Dusadh @ 3.01

Dr_McNinja
11-22-2013, 01:05 PM
Father's phased kit (using mine and my mom's raw data with GEDmatch's phasing utility) (Punjabi Jatt, paternal is Gill from Hoshiarpur, India, mother is Pansota from Faisalabad, Pakistan):
Population
North_Atlantic 5.89%
Baltic 4.81%
West_Med 2.60%
West_Asian 25.58%
East_Med 1.10%
Red_Sea 0.57%
South_Asian 46.40%
East_Asian 1.42%
Siberian 3.34%
Amerindian 2.12%
Oceanian 1.36%
Northeast_African 0.27%
Sub-Saharan 4.54%
Oracle-4

Using 1 population approximation:
1 Brahmin_UP @ 11.093
2 Gujarati @ 13.002
3 Punjabi_Jat @ 13.042
4 Kshatriya @ 13.465
5 Sindhi @ 15.526
6 Pathan @ 16.362
7 Bangladeshi @ 16.479
8 Burusho @ 17.392
9 Dharkar @ 20.978
10 Kanjar @ 22.552
175 iterations.



Using 2 populations approximation:
1 50% Piramalai +50% Tadjik @ 6.290
2 50% Sakilli +50% Tadjik @ 6.555
3 50% Dusadh +50% Tadjik @ 6.571
4 50% Kol +50% Tadjik @ 6.713
5 50% Chamar +50% Tadjik @ 6.762
6 50% North_Kannadi +50% Tadjik @ 6.916
7 50% Kurumba +50% Tadjik @ 7.007
8 50% Tadjik +50% Uttar_Pradesh @ 7.436
9 50% Tadjik +50% Velamas @ 7.734
10 50% Bangladeshi +50% Pathan @ 7.779
15400 iterations.



Using 3 populations approximation:
1 50% Kurumba +25% Nogay +25% Punjabi_Jat @ 5.753
2 50% Dharkar +25% Punjabi_Jat +25% Tadjik @ 5.847
3 50% Uttar_Pradesh +25% Kalash +25% Tadjik @ 5.857
4 50% Brahmin_UP +25% Kurumba +25% Nogay @ 5.884
5 50% Brahmin_UP +25% Balkar +25% Sakilli @ 5.898
6 50% Dusadh +25% Nogay +25% Punjabi_Jat @ 5.926
7 50% Kshatriya +25% Kurumba +25% Nogay @ 5.935
8 50% Gujarati +25% Kurumba +25% Nogay @ 5.940
9 50% Brahmin_UP +25% Balkar +25% Chamar @ 5.964
10 50% Kol +25% Kalash +25% Tadjik @ 5.965
339293 iterations.



Using 4 populations approximation:
1 Brahmin_UP + Gujarati + Kurumba + Nogay @ 5.715
2 Kol + Kurumba + Nogay + Punjabi_Jat @ 5.735
3 Kurumba + Kurumba + Nogay + Punjabi_Jat @ 5.753
4 Dusadh + Kurumba + Nogay + Punjabi_Jat @ 5.759
5 Brahmin_UP + Kshatriya + Kurumba + Nogay @ 5.773
6 Chenchu + Kshatriya + Punjabi_Jat + Tadjik @ 5.815
7 Chenchu + Kalash + Tadjik + Uttar_Pradesh @ 5.822
8 Kurumba + Nogay + Piramalai + Punjabi_Jat @ 5.839
9 Brahmin_UP + Dusadh + Gujarati + Nogay @ 5.840
10 Dharkar + Dharkar + Punjabi_Jat + Tadjik @ 5.847
11 Brahmin_UP + Chenchu + Sindhi + Tadjik @ 5.848
12 Brahmin_UP + Chenchu + Punjabi_Jat + Tadjik @ 5.850
13 Kurumba + Nogay + Punjabi_Jat + Uttar_Pradesh @ 5.853
14 Kalash + Tadjik + Uttar_Pradesh + Uttar_Pradesh @ 5.857
15 Kalash + Kol + Tadjik + Uttar_Pradesh @ 5.876
16 Brahmin_UP + Burusho + Sakilli + Tadjik @ 5.878
17 Gujarati + Kshatriya + Kurumba + Nogay @ 5.879
18 Brahmin_UP + Brahmin_UP + Kurumba + Nogay @ 5.884
19 Dharkar + Punjabi_Jat + Tadjik + Uttar_Pradesh @ 5.887
20 Chenchu + Kalash + Kol + Tadjik @ 5.889
Oracle

Single Population Sharing:

# Population (source) Distance
1 Brahmin_UP 10.66
2 Punjabi_Jat 11.98
3 Gujarati 12.38
4 Kshatriya 12.69
5 Sindhi 13.94
6 Pathan 14.61
7 Bangladeshi 15.51
8 Burusho 15.64
9 Dharkar 19.11
10 Kalash 20.27
11 Kanjar 20.51
12 Uttar_Pradesh 22.73
13 Velamas 23.14
14 Kurumba 23.62
15 Kol 24.38
16 Dusadh 25
17 North_Kannadi 25.83
18 Chenchu 26.31
19 Piramalai 28.07
20 Makrani 28.77

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 61.2% Dharkar + 38.8% Tadjik @ 6.1
2 54.1% Dusadh + 45.9% Tadjik @ 6.2
3 79.6% Kshatriya + 20.4% Nogay @ 6.22
4 54.8% Kol + 45.2% Tadjik @ 6.27
5 59.4% Kanjar + 40.6% Tadjik @ 6.31
6 55.7% Kurumba + 44.3% Tadjik @ 6.33
7 72.2% Kshatriya + 27.8% Tadjik @ 6.35
8 51.1% Piramalai + 48.9% Tadjik @ 6.41
9 56.7% Uttar_Pradesh + 43.3% Tadjik @ 6.48
10 81.3% Brahmin_UP + 18.7% Turkmen @ 6.55
11 83.7% Brahmin_UP + 16.3% Nogay @ 6.6
12 51.2% Tadjik + 48.8% Sakilli @ 6.6
13 53.3% North_Kannadi + 46.7% Tadjik @ 6.66
14 80.5% Gujarati + 19.5% Nogay @ 6.69
15 84.9% Gujarati + 15.1% Mozabite_Berber @ 6.69
16 77.2% Kshatriya + 22.8% Turkmen @ 6.74
17 77.5% Brahmin_UP + 22.5% Tadjik @ 6.75
18 84.5% Brahmin_UP + 15.5% Balkar @ 6.75
19 67.1% Uttar_Pradesh + 32.9% Chechen @ 6.78
20 51.3% Tadjik + 48.7% Chamar @ 6.78^ My paternal grandfather passed away long ago, he must have had some really interesting data as far as Punjabis go.

I also manage a kit for an Afghan Pashtun of Popalzai/Durrani descent (HRP0370):


Population
North_Atlantic 7.64%
Baltic 10.76%
West_Med 0.07%
West_Asian 40.22%
East_Med 8.81%
Red_Sea 1.54%
South_Asian 25.74%
East_Asian -
Siberian 2.92%
Amerindian 1.29%
Oceanian -
Northeast_African 1.00%
Sub-Saharan -
Oracle-4

Least-squares method.

Using 1 population approximation:
1 Tadjik @ 12.747
2 Kalash @ 12.998
3 Pathan @ 14.986
4 Makrani @ 15.731
5 Burusho @ 16.598
6 Balochi @ 17.012
7 Brahui @ 18.218
8 Punjabi_Jat @ 19.994
9 Sindhi @ 21.856
10 Turkmen @ 22.751
175 iterations.



Using 2 populations approximation:
1 50% Lezgin +50% Sindhi @ 4.265
2 50% Lezgin +50% Punjabi_Jat @ 4.527
3 50% Chechen +50% Sindhi @ 4.749
4 50% Kumyk +50% Punjabi_Jat @ 5.053
5 50% Chechen +50% Punjabi_Jat @ 5.159
6 50% Adygei +50% Punjabi_Jat @ 5.378
7 50% Lezgin +50% Pathan @ 5.541
8 50% North_Ossetian +50% Punjabi_Jat @ 5.703
9 50% Kumyk +50% Sindhi @ 5.840
10 50% Chechen +50% Pathan @ 6.023
15400 iterations.



Using 3 populations approximation:
1 50% Lezgin +25% Gujarati +25% Pathan @ 2.598
2 50% Pathan +25% Lezgin +25% Tadjik @ 2.887
3 50% Lezgin +25% Burusho +25% Gujarati @ 2.893
4 50% Lezgin +25% Kshatriya +25% Pathan @ 2.923
5 50% Lezgin +25% Kalash +25% Kshatriya @ 2.996
6 50% Lezgin +25% Brahmin_UP +25% Sindhi @ 3.120
7 50% Lezgin +25% Burusho +25% Kshatriya @ 3.144
8 50% Lezgin +25% Gujarati +25% Kalash @ 3.163
9 50% Lezgin +25% Brahmin_UP +25% Pathan @ 3.195
10 50% Lezgin +25% Balochi +25% Uttar_Pradesh @ 3.197
342051 iterations.



Using 4 populations approximation:
1 Gujarati + Lezgin + Lezgin + Pathan @ 2.598
2 Lezgin + Pathan + Sindhi + Tadjik @ 2.668
3 Lezgin + Pathan + Pathan + Tadjik @ 2.887
4 Burusho + Gujarati + Lezgin + Lezgin @ 2.893
5 Kshatriya + Lezgin + Lezgin + Pathan @ 2.923
6 Chechen + Gujarati + Lezgin + Pathan @ 2.951
7 Kalash + Kshatriya + Lezgin + Lezgin @ 2.996
8 Gujarati + Kalash + Kumyk + Lezgin @ 3.065
9 Brahmin_UP + Lezgin + Lezgin + Sindhi @ 3.120
10 Burusho + Kshatriya + Lezgin + Lezgin @ 3.144
11 Kalash + Lezgin + Sindhi + Tadjik @ 3.150
12 Gujarati + Kalash + Lezgin + Lezgin @ 3.163
13 Brahmin_UP + Lezgin + Makrani + Tadjik @ 3.173
14 Brahmin_UP + Lezgin + Lezgin + Pathan @ 3.195
15 Balochi + Lezgin + Lezgin + Uttar_Pradesh @ 3.197
16 Gujarati + Lezgin + North_Ossetian + Pathan @ 3.208
17 Balochi + Kanjar + Lezgin + Lezgin @ 3.218
18 Gujarati + Lezgin + Lezgin + Sindhi @ 3.248
19 Kalash + Kshatriya + Kumyk + Lezgin @ 3.261
20 Chechen + Kshatriya + Lezgin + Pathan @ 3.274
Oracle

Single Population Sharing:

# Population (source) Distance
1 Kalash 11.42
2 Tadjik 11.89
3 Pathan 13.26
4 Makrani 13.99
5 Balochi 14.88
6 Burusho 14.89
7 Brahui 15.93
8 Punjabi_Jat 17.67
9 Sindhi 19.4
10 Turkmen 20.58
11 Lezgin 21.56
12 Chechen 21.8
13 Kumyk 22.13
14 Adygei 23.56
15 Balkar 24.09
16 North_Ossetian 24.24
17 Iranian 24.75
18 Kurdish 25.88
19 Nogay 27.55
20 Georgian 28.44

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 62.2% Pathan + 37.8% Lezgin @ 2.64
2 59.9% Lezgin + 40.1% Gujarati @ 2.89
3 62.6% Pathan + 37.4% Chechen @ 3.22
4 68.1% Lezgin + 31.9% Kurumba @ 3.32
5 61% Lezgin + 39% Kshatriya @ 3.34
6 67.6% Lezgin + 32.4% Velamas @ 3.52
7 55.1% Punjabi_Jat + 44.9% Lezgin @ 3.68
8 52.7% Sindhi + 47.3% Lezgin @ 3.75
9 59.7% Chechen + 40.3% Gujarati @ 3.75
10 70.2% Lezgin + 29.8% Piramalai @ 3.76
11 65.9% Lezgin + 34.1% Dharkar @ 3.77
12 73.5% Kalash + 26.5% Turkish @ 3.83
13 57.4% Punjabi_Jat + 42.6% Adygei @ 3.84
14 58.1% Punjabi_Jat + 41.9% North_Ossetian @ 3.88
15 66.5% Lezgin + 33.5% Kanjar @ 3.88
16 55.8% Punjabi_Jat + 44.2% Kumyk @ 3.96
17 63.3% Pathan + 36.7% Kumyk @ 4.03
18 65.4% Kalash + 34.6% Turkmen @ 4.07
19 69% Lezgin + 31% Dusadh @ 4.09
20 64.8% Pathan + 35.2% Adygei @ 4.16

Dr_McNinja
11-22-2013, 01:30 PM
I'm not sure this would be any more useful for South Asians. The South Asian component used is modal in lower castes, including those of northern India, not South Indians in particular.

Hanna
11-22-2013, 07:37 PM
My updated K13:

Admix Results (sorted):

# Population Percent
1 West_Asian 37.50
2 East_Med 31.18
3 West_Med 11.17
4 North_Atlantic 4.65
5 Baltic 4.51
6 Siberian 4.18
7 Red_Sea 3.26
8 South_Asian 1.92
9 East_Asian 1.65


--------------------------------

Least-squares method.

Using 1 population approximation:
1 Armenian @ 7.759
2 Turkish @ 8.184
3 Georgian_Jewish @ 9.597
4 Kurdish @ 9.628
5 Azeri_Jewish @ 10.889
6 Assyrian @ 12.395
7 Iranian @ 12.771
8 Kumyk @ 16.815
9 Georgian @ 17.892
10 Adygei @ 19.347
175 iterations.


Using 4 populations approximation:
1 Abhkasian + Armenian + Lebanese_Druze + Nogay @ 3.219
2 Armenian + Armenian + Armenian + Nogay @ 3.336
3 Armenian + Assyrian + Balkar + Turkish @ 3.347
4 Abhkasian + Assyrian + Balkar + Lebanese_Druze @ 3.363
5 Abhkasian + Balkar + Lebanese_Druze + Turkish @ 3.375
6 Armenian + Armenian + Georgian_Jewish + Nogay @ 3.437
7 Assyrian + Balkar + Georgian + Lebanese_Druze @ 3.474
8 Armenian + Armenian + Assyrian + Nogay @ 3.490
9 Armenian + Assyrian + North_Ossetian + Turkish @ 3.495
10 Abhkasian + Assyrian + Turkish + Turkish @ 3.498
11 Abhkasian + Armenian + Cyprian + Turkmen @ 3.626
12 Assyrian + Balkar + Balkar + Lebanese_Druze @ 3.628
13 Abhkasian + Azeri_Jewish + Balkar + Lebanese_Druze @ 3.628
14 Abhkasian + Armenian + Lebanese_Christian + Nogay @ 3.644
15 Armenian + Georgian + Lebanese_Druze + Nogay @ 3.681
16 Abhkasian + Kumyk + Lebanese_Druze + Turkish @ 3.743
17 Armenian + Armenian + Azeri_Jewish + Nogay @ 3.753
18 Abhkasian + Cyprian + Lebanese_Druze + North_Ossetian @ 3.763
19 Abhkasian + Assyrian + Balkar + Cyprian @ 3.766
20 Armenian + Balkar + Georgian_Jewish + Turkish @ 3.770



My aunt:

Admix Results (sorted):

# Population Percent
1 West_Asian 41.89
2 East_Med 31.78
3 West_Med 13.37
4 Red_Sea 4.65
5 North_Atlantic 4.41
6 South_Asian 3.90


--------------------------------

Least-squares method.

Using 1 population approximation:
1 Armenian @ 4.753
2 Kurdish @ 9.560
3 Georgian_Jewish @ 9.973
4 Azeri_Jewish @ 11.301
5 Assyrian @ 13.186
6 Turkish @ 13.352
7 Iranian @ 13.472
8 Georgian @ 15.886
9 Abhkasian @ 17.099
10 Kumyk @ 20.324
175 iterations.


Using 4 populations approximation:
1 Armenian + Armenian + Armenian + Georgian @ 2.920
2 Abhkasian + Armenian + Armenian + Armenian @ 3.241
3 Armenian + Armenian + Azeri_Jewish + Georgian @ 3.462
4 Abhkasian + Armenian + Armenian + Azeri_Jewish @ 3.492
5 Armenian + Armenian + Assyrian + Georgian @ 3.799
6 Abhkasian + Armenian + Armenian + Assyrian @ 3.898
7 Armenian + Armenian + Georgian + Georgian_Jewish @ 3.912
8 Abhkasian + Armenian + Armenian + Georgian_Jewish @ 4.070
9 Abhkasian + Armenian + Armenian + Turkish @ 4.103
10 Armenian + Armenian + Georgian + Turkish @ 4.322
11 Abhkasian + Armenian + Georgian + Lebanese_Christian @ 4.401
12 Armenian + Armenian + Georgian + Kurdish @ 4.435
13 Abhkasian + Abhkasian + Azeri_Jewish + Cyprian @ 4.450
14 Armenian + Georgian + Georgian + Lebanese_Christian @ 4.468
15 Abhkasian + Abhkasian + Armenian + Cyprian @ 4.475
16 Armenian + Armenian + Armenian + Kurdish @ 4.478
17 Abhkasian + Abhkasian + Armenian + Samaritan @ 4.528
18 Abhkasian + Abhkasian + Armenian + Lebanese_Christian @ 4.530
19 Abhkasian + Armenian + Cyprian + Georgian @ 4.536
20 Abhkasian + Armenian + Georgian + Samaritan @ 4.540

Hanna
11-22-2013, 07:38 PM
My grandfathers results:

Admix Results (sorted):

# Population Percent
1 West_Asian 41.98
2 East_Med 31.70
3 West_Med 10.32
4 North_Atlantic 4.95
5 South_Asian 4.71
6 Red_Sea 3.88
7 Baltic 1.25
8 Amerindian 1.21


--------------------------------

Least-squares method.

Using 1 population approximation:
1 Armenian @ 6.048
2 Kurdish @ 6.858
3 Georgian_Jewish @ 10.118
4 Azeri_Jewish @ 11.047
5 Iranian @ 11.171
6 Turkish @ 13.119
7 Assyrian @ 13.515
8 Georgian @ 15.165
9 Abhkasian @ 16.448
10 Kumyk @ 18.523
175 iterations.


Using 4 populations approximation:
1 Armenian + Armenian + Georgian + Kurdish @ 3.158
2 Abhkasian + Armenian + Azeri_Jewish + Kurdish @ 3.162
3 Armenian + Azeri_Jewish + Georgian + Kurdish @ 3.169
4 Abhkasian + Armenian + Armenian + Kurdish @ 3.420
5 Armenian + Armenian + Azeri_Jewish + Georgian @ 3.459
6 Armenian + Assyrian + Georgian + Kurdish @ 3.502
7 Abhkasian + Armenian + Armenian + Azeri_Jewish @ 3.510
8 Armenian + Armenian + Georgian + Iranian @ 3.569
9 Abhkasian + Armenian + Assyrian + Kurdish @ 3.573
10 Armenian + Armenian + Armenian + Georgian @ 3.663
11 Abhkasian + Armenian + Armenian + Iranian @ 3.744
12 Armenian + Georgian + Georgian_Jewish + Kurdish @ 3.835
13 Abhkasian + Armenian + Azeri_Jewish + Iranian @ 3.916
14 Armenian + Armenian + Kurdish + Kurdish @ 3.936
15 Abhkasian + Azeri_Jewish + Azeri_Jewish + Kurdish @ 3.941
16 Abhkasian + Armenian + Armenian + Armenian @ 3.942
17 Abhkasian + Georgian + Kurdish + Lebanese_Druze @ 3.954
18 Abhkasian + Armenian + Georgian_Jewish + Kurdish @ 3.964
19 Armenian + Azeri_Jewish + Georgian + Iranian @ 3.978
20 Abhkasian + Armenian + Georgian + Lebanese_Druze @ 4.002


My grandmothers results:

Admix Results (sorted):

# Population Percent
1 West_Asian 38.61
2 East_Med 31.34
3 West_Med 15.68
4 Red_Sea 3.87
5 North_Atlantic 3.86
6 Baltic 2.94
7 Siberian 2.70
8 Oceanian 1.00


--------------------------------

Least-squares method.

Using 1 population approximation:
1 Armenian @ 6.759
2 Georgian_Jewish @ 10.078
3 Turkish @ 10.873
4 Azeri_Jewish @ 12.252
5 Assyrian @ 12.896
6 Kurdish @ 12.973
7 Iranian @ 16.377
8 Georgian @ 17.918
9 Abhkasian @ 19.360
10 Lebanese_Muslim @ 19.584
175 iterations.

Using 4 populations approximation:
1 Abhkasian + Abhkasian + Cyprian + Cyprian @ 3.348
2 Abhkasian + Cyprian + Cyprian + Georgian @ 3.795
3 Abhkasian + Abhkasian + Cyprian + Lebanese_Muslim @ 4.241
4 Cyprian + Cyprian + Georgian + Georgian @ 4.399
5 Abhkasian + Cyprian + Georgian + Lebanese_Muslim @ 4.511
6 Armenian + Armenian + Cyprian + North_Ossetian @ 4.539
7 Abhkasian + Armenian + Armenian + Cyprian @ 4.621
8 Armenian + Armenian + Balkar + Cyprian @ 4.664
9 Abhkasian + Abhkasian + Assyrian + Sephardic_Jewish @ 4.674
10 Armenian + Armenian + Cyprian + Georgian @ 4.693
11 Abhkasian + Armenian + Cyprian + Turkish @ 4.731
12 Abhkasian + Assyrian + Cyprian + Georgian @ 4.767
13 Assyrian + Cyprian + Georgian + Georgian @ 4.777
14 Abhkasian + Abhkasian + Cyprian + Lebanese_Christian @ 4.829
15 Abhkasian + Abhkasian + Lebanese_Christian + South_Italian @ 4.860
16 Abhkasian + Armenian + Armenian + South_Italian @ 4.898
17 Abhkasian + Abhkasian + Cyprian + Syrian @ 4.909
18 Abhkasian + Abhkasian + Cyprian + Sephardic_Jewish @ 4.925
19 Abhkasian + Cyprian + Cyprian + North_Ossetian @ 4.926
20 Abhkasian + Abhkasian + Cyprian + Samaritan @ 4.930

Sapporo
11-23-2013, 01:19 AM
Eurogenes K13 model (rev 21 Nov 2013):

Admix Results (sorted):

# Population Percent
1 South_Asian 43.45
2 West_Asian 36.45
3 Baltic 11.97
4 North_Atlantic 2.39
5 East_Med 2.15
6 Amerindian 1.97
7 Siberian 1.06
8 Red_Sea 0.34
9 Northeast_African 0.22

Single Population Sharing:

# Population (source) Distance
1 Pathan 5.08
2 Punjabi_Jat 5.11
3 Sindhi 8.12
4 Burusho 10.05
5 Kalash 10.26
6 Gujarati 16.14
7 Brahmin_UP 16.32
8 Kshatriya 17.87
9 Balochi 20.94
10 Brahui 21.54
11 Makrani 22
12 Bangladeshi 23.25
13 Dharkar 25.75
14 Tadjik 26.17
15 Kanjar 26.62
16 Velamas 29
17 Uttar_Pradesh 30.09
18 Kurumba 30.11
19 Kol 31.39
20 Dusadh 31.87

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 76.9% Kalash + 23.1% North_Kannadi @ 3.23
2 80.5% Pathan + 19.5% Gujarati @ 3.34
3 73.1% Kalash + 26.9% Kanjar @ 3.35
4 79.6% Kalash + 20.4% Chamar @ 3.43
5 87.6% Pathan + 12.4% Kanjar @ 3.45
6 82.5% Pathan + 17.5% Kshatriya @ 3.45
7 64.5% Kalash + 35.5% Kshatriya @ 3.52
8 72.6% Kalash + 27.4% Dharkar @ 3.53
9 90% Pathan + 10% North_Kannadi @ 3.57
10 76.4% Kalash + 23.6% Kol @ 3.59
11 81.7% Pathan + 18.3% Brahmin_UP @ 3.6
12 87.8% Pathan + 12.2% Dharkar @ 3.62
13 89.8% Pathan + 10.2% Kol @ 3.63
14 90.7% Pathan + 9.3% Piramalai @ 3.65
15 91.5% Pathan + 8.5% Chamar @ 3.67
16 75.7% Kalash + 24.3% Uttar_Pradesh @ 3.71
17 89.6% Pathan + 10.4% Uttar_Pradesh @ 3.71
18 90.1% Pathan + 9.9% Dusadh @ 3.71
19 91.6% Pathan + 8.4% Sakilli @ 3.72
20 89.7% Pathan + 10.3% Kurumba @ 3.73

Admix Results (sorted):

# Population Percent
1 South_Asian 43.70
2 West_Asian 36.66
3 Baltic 12.04
4 North_Atlantic 2.40
5 East_Med 2.16
6 Amerindian 1.98
7 Siberian 1.06


--------------------------------

Least-squares method.

Using 1 population approximation:
1 Pathan @ 5.909
2 Punjabi_Jat @ 5.939
3 Sindhi @ 9.143
4 Burusho @ 10.711
5 Kalash @ 11.764
6 Gujarati @ 18.195
7 Brahmin_UP @ 18.652
8 Kshatriya @ 20.291
9 Balochi @ 23.983
10 Brahui @ 24.659
175 iterations.



Using 2 populations approximation:
1 50% Pathan +50% Punjabi_Jat @ 4.515
2 50% Gujarati +50% Kalash @ 5.406
3 50% Pathan +50% Pathan @ 5.909
4 50% Punjabi_Jat +50% Sindhi @ 5.928
5 50% Punjabi_Jat +50% Punjabi_Jat @ 5.939
6 50% Kalash +50% Kshatriya @ 5.972
7 50% Pathan +50% Sindhi @ 6.122
8 50% Brahmin_UP +50% Kalash @ 6.161
9 50% Burusho +50% Punjabi_Jat @ 6.491
10 50% Kalash +50% Punjabi_Jat @ 7.140
15400 iterations.



Using 3 populations approximation:
1 50% Kalash +25% Kanjar +25% Pathan @ 3.386
2 50% Pathan +25% Gujarati +25% Kalash @ 3.421
3 50% Pathan +25% Kalash +25% Kshatriya @ 3.479
4 50% Kalash +25% Dharkar +25% Pathan @ 3.627
5 50% Kalash +25% Kalash +25% North_Kannadi @ 3.690
6 50% Kalash +25% Kshatriya +25% Pathan @ 3.823
7 50% Kalash +25% Kalash +25% Kanjar @ 3.875
8 50% Pathan +25% Brahmin_UP +25% Kalash @ 3.993
9 50% Pathan +25% Gujarati +25% Pathan @ 4.052
10 50% Kalash +25% Kalash +25% Kol @ 4.116
231191 iterations.



Using 4 populations approximation:
1 Kalash + Kalash + Kanjar + Pathan @ 3.386
2 Gujarati + Kalash + Pathan + Pathan @ 3.421
3 Kalash + Kshatriya + Pathan + Pathan @ 3.479
4 Dharkar + Kalash + Kalash + Pathan @ 3.627
5 Kalash + Kalash + Kalash + North_Kannadi @ 3.690
6 Kalash + Kalash + Kshatriya + Pathan @ 3.823
7 Kalash + Kalash + Kalash + Kanjar @ 3.875
8 Gujarati + Kalash + Pathan + Punjabi_Jat @ 3.947
9 Brahmin_UP + Kalash + Pathan + Pathan @ 3.993
10 Gujarati + Pathan + Pathan + Pathan @ 4.052
11 Kalash + Kalash + Kalash + Kol @ 4.116
12 Kalash + Kshatriya + Pathan + Punjabi_Jat @ 4.120
13 Gujarati + Kalash + Kalash + Pathan @ 4.128
14 Kalash + Kalash + North_Kannadi + Pathan @ 4.131
15 Dharkar + Kalash + Kalash + Kalash @ 4.141
16 Kalash + Kalash + Kalash + Uttar_Pradesh @ 4.232
17 Kalash + Kanjar + Pathan + Pathan @ 4.239
18 Kalash + Kalash + Pathan + Velamas @ 4.256
19 Kalash + Kalash + Pathan + Uttar_Pradesh @ 4.275
20 Dusadh + Kalash + Kalash + Kalash @ 4.298

381229 iterations.

Dr_McNinja
11-23-2013, 03:23 AM
# Population Percent
1 West_Asian 37.42
2 East_Med 31.18
3 South_Asian 8.56
4 West_Med 7.42
5 Red_Sea 5.45
6 North_Atlantic 3.14
7 Siberian 2.18
8 Northeast_African 2.1
9 East_Asian 1.18
10 Sub-Saharan 0.99
11 Baltic 0.38



# Population (source) Distance
1 Kurdish 4.88
2 Iranian 6.04
3 Armenian 8.34
4 Azeri_Jewish 8.5
5 Georgian_Jewish 9.27
6 Turkish 10.11
7 Assyrian 10.93
8 Turkmen 17.27
9 Kumyk 17.32
10 Georgian 17.36
11 Lebanese_Muslim 17.4
12 Syrian 18.28
13 Abhkasian 18.36
14 Adygei 19.46
15 Balkar 20.52
16 North_Ossetian 21.75
17 Lebanese_Druze 22.07
18 Cyprian 22.14
19 Jordanian 22.33
20 Lebanese_Christian 23.36I don't suppose you could post your Eurogenes K36 results? Curious to see how they look for someone of your background.

Generalissimo
11-23-2013, 03:39 AM
Reference populations from Afghanistan have now been added to the oracles.

Sapporo
11-23-2013, 04:10 AM
Reference populations from Afghanistan have now been added to the oracles.

I just ran my data again and saw no change in the oracle as of yet.

Hanna
11-23-2013, 05:35 AM
Nice results Hanna, we almost have the same percentage of West Asian and East Med. Also, no South Asian population is found on my oracle, so much for Iranians being distantly related to Indians.

Yes, I noticed that our percentages are similar for the West Asian and East Med components.
You do have significant South Asian which is average for Kurds and Iranians hence why your top match is Kurd and Iranian.
So you don't think South Asian in Iranians and Kurds is an Indian influence? Where did South Asian come from then?

Humanist
11-23-2013, 06:47 AM
# Population Percent
1 West_Asian 37.42
2 East_Med 31.18
3 South_Asian 8.56
4 West_Med 7.42
5 Red_Sea 5.45
6 North_Atlantic 3.14
7 Siberian 2.18
8 Northeast_African 2.1
9 East_Asian 1.18
10 Sub-Saharan 0.99
11 Baltic 0.38

Scyth, compared to a Semitic-speaking individual, Humanist:


HUM SCYTH
0.94 0.38 Baltic
0.00 1.18 East_Asian
37.88 31.18 East_Med
1.89 3.14 North_Atlantic
0.00 2.1 Northeast_African
8.42 5.45 Red_Sea
0.97 2.18 Siberian
4.43 8.56 South_Asian
0.00 0.99 Sub-Saharan
35.1 37.42 West_Asian
10.35 7.42 West_Med

Kamane
11-23-2013, 12:38 PM
We're Lithuanian.

K13

http://i919.photobucket.com/albums/ad33/spectator000/1_zps847737cd.jpg

4 ancestors oracle

Using 2 populations approximation:
1 50% Erzya +50% Lithuanian @ 7.866
2 50% Lithuanian +50% Lithuanian @ 8.366
3 50% Kargopol_Russian +50% Lithuanian @ 9.345
4 50% Lithuanian +50% Russian @ 9.933
5 50% Lithuanian +50% Ukrainian_Northeast @ 9.995
6 50% Erzya +50% Estonian @ 10.271
7 50% Belorussian +50% Lithuanian @ 10.390
8 50% Belorussian +50% Erzya @ 10.411
9 50% Erzya +50% Erzya @ 10.861
10 50% Estonian +50% Lithuanian @ 10.871
15400 iterations.



Using 3 populations approximation:
1 50% Lithuanian +25% Erzya +25% Lithuanian @ 7.609
2 50% Erzya +25% Lithuanian +25% Lithuanian @ 7.866
3 50% Lithuanian +25% Erzya +25% Erzya @ 7.866
4 50% Lithuanian +25% Lithuanian +25% Lithuanian @ 8.366
5 50% Lithuanian +25% Erzya +25% Kargopol_Russian @ 8.538
6 50% Lithuanian +25% Kargopol_Russian +25% Lithuanian @ 8.561
7 50% Lithuanian +25% Erzya +25% Russian @ 8.688
8 50% Lithuanian +25% Erzya +25% Ukrainian_Northeast @ 8.700
9 50% Lithuanian +25% Belorussian +25% Erzya @ 8.769
10 50% Lithuanian +25% Erzya +25% Estonian @ 8.856
711878 iterations.



Using 4 populations approximation:
1 Erzya + Lithuanian + Lithuanian + Lithuanian @ 7.609
2 Erzya + Erzya + Lithuanian + Lithuanian @ 7.866
3 Lithuanian + Lithuanian + Lithuanian + Lithuanian @ 8.366
4 Erzya + Kargopol_Russian + Lithuanian + Lithuanian @ 8.538
5 Kargopol_Russian + Lithuanian + Lithuanian + Lithuanian @ 8.561
6 Erzya + Lithuanian + Lithuanian + Russian @ 8.688
7 Erzya + Lithuanian + Lithuanian + Ukrainian_Northeast @ 8.700
8 Belorussian + Erzya + Lithuanian + Lithuanian @ 8.769
9 Erzya + Estonian + Lithuanian + Lithuanian @ 8.856
10 Lithuanian + Lithuanian + Lithuanian + Russian @ 8.877
11 Lithuanian + Lithuanian + Lithuanian + Ukrainian_Northeast @ 8.890
12 Erzya + Erzya + Estonian + Lithuanian @ 9.014
13 Erzya + Erzya + Erzya + Lithuanian @ 9.049
14 Belorussian + Erzya + Erzya + Lithuanian @ 9.110
15 East_Finnish + Erzya + Lithuanian + Lithuanian @ 9.243
16 Belorussian + Lithuanian + Lithuanian + Lithuanian @ 9.319
17 Kargopol_Russian + Kargopol_Russian + Lithuanian + Lithuanian @ 9.345
18 Erzya + Erzya + Lithuanian + Russian @ 9.392
19 Erzya + Erzya + Lithuanian + Ukrainian_Northeast @ 9.402
20 Erzya + Erzya + Kargopol_Russian + Lithuanian @ 9.411


mom

http://i919.photobucket.com/albums/ad33/spectator000/2_zps5f43e6e1.jpg
4 ancestors oracle



Using 2 populations approximation:
1 50% Erzya +50% Lithuanian @ 5.672
2 50% Lithuanian +50% Lithuanian @ 5.725
3 50% Kargopol_Russian +50% Lithuanian @ 6.644
4 50% Lithuanian +50% Ukrainian_Northeast @ 7.095
5 50% Lithuanian +50% Russian @ 7.376
6 50% Belorussian +50% Lithuanian @ 7.599
7 50% Erzya +50% Estonian @ 7.627
8 50% Estonian +50% Lithuanian @ 7.959
9 50% Belorussian +50% Erzya @ 8.105
10 50% East_Finnish +50% Lithuanian @ 8.555
15400 iterations.



Using 3 populations approximation:
1 50% Lithuanian +25% Erzya +25% Lithuanian @ 4.944
2 50% Erzya +25% Lithuanian +25% Lithuanian @ 5.672
3 50% Lithuanian +25% Erzya +25% Erzya @ 5.672
4 50% Lithuanian +25% Lithuanian +25% Lithuanian @ 5.725
5 50% Lithuanian +25% Kargopol_Russian +25% Lithuanian @ 5.752
6 50% Lithuanian +25% Lithuanian +25% Ukrainian_Northeast @ 5.971
7 50% Lithuanian +25% Erzya +25% Ukrainian_Northeast @ 6.005
8 50% Lithuanian +25% Erzya +25% Estonian @ 6.013
9 50% Lithuanian +25% Erzya +25% Kargopol_Russian @ 6.038
10 50% Lithuanian +25% Belorussian +25% Erzya @ 6.078
469660 iterations.



Using 4 populations approximation:
1 Erzya + Lithuanian + Lithuanian + Lithuanian @ 4.944
2 Erzya + Erzya + Lithuanian + Lithuanian @ 5.672
3 Lithuanian + Lithuanian + Lithuanian + Lithuanian @ 5.725
4 Kargopol_Russian + Lithuanian + Lithuanian + Lithuanian @ 5.752
5 Lithuanian + Lithuanian + Lithuanian + Ukrainian_Northeast @ 5.971
6 Erzya + Lithuanian + Lithuanian + Ukrainian_Northeast @ 6.005
7 Erzya + Estonian + Lithuanian + Lithuanian @ 6.013
8 Erzya + Kargopol_Russian + Lithuanian + Lithuanian @ 6.038
9 Belorussian + Erzya + Lithuanian + Lithuanian @ 6.078
10 Lithuanian + Lithuanian + Lithuanian + Russian @ 6.170
11 Erzya + Lithuanian + Lithuanian + Russian @ 6.206
12 Erzya + Erzya + Estonian + Lithuanian @ 6.538
13 Belorussian + Lithuanian + Lithuanian + Lithuanian @ 6.567
14 Kargopol_Russian + Lithuanian + Lithuanian + Ukrainian_Northeast @ 6.573
15 East_Finnish + Erzya + Lithuanian + Lithuanian @ 6.617
16 Kargopol_Russian + Kargopol_Russian + Lithuanian + Lithuanian @ 6.644
17 Estonian + Lithuanian + Lithuanian + Lithuanian @ 6.754
18 Belorussian + Kargopol_Russian + Lithuanian + Lithuanian @ 6.819
19 Kargopol_Russian + Lithuanian + Lithuanian + Russian @ 6.838
20 Belorussian + Erzya + Erzya + Lithuanian @ 6.841

Stellaritic
11-23-2013, 01:21 PM
New K13 results :

Admix Results (sorted):

# Population Percent
1 East_Med 31.32
2 Red_Sea 21.90
3 West_Med 17.32
4 Sub-Saharan 10.35
5 North_Atlantic 9.46
6 Northeast_African 8.54
7 Amerindian 1.11


--------------------------------

Least-squares method.

Using 1 population approximation:
1 Algerian @ 8.881
2 Mozabite_Berber @ 10.894
3 Moroccan @ 11.455
4 Egyptian @ 15.527
5 Bedouin @ 20.694
6 Sephardic_Jewish @ 23.867
7 Palestinian @ 25.122
8 Jordanian @ 25.246
9 Ashkenazi @ 25.758
10 South_Italian @ 26.413
175 iterations.



Using 2 populations approximation:
1 50% Egyptian +50% Mozabite_Berber @ 7.603
2 50% Algerian +50% Egyptian @ 7.836
3 50% Egyptian +50% Moroccan @ 7.911
4 50% Algerian +50% Algerian @ 8.881
5 50% Bedouin +50% Mozabite_Berber @ 9.425
6 50% Mozabite_Berber +50% Saudi @ 9.471
7 50% Algerian +50% Bedouin @ 9.737
8 50% Algerian +50% Mozabite_Berber @ 9.816
9 50% Algerian +50% Moroccan @ 9.905
10 50% Bedouin +50% Moroccan @ 9.926
15400 iterations.



Using 3 populations approximation:
1 50% Algerian +25% Mozabite_Berber +25% Saudi @ 4.285
2 50% Mozabite_Berber +25% Algerian +25% Saudi @ 4.354
3 50% Algerian +25% Algerian +25% Saudi @ 4.357
4 50% Mozabite_Berber +25% Mozabite_Berber +25% Saudi @ 4.558
5 50% Algerian +25% Moroccan +25% Saudi @ 4.791
6 50% Mozabite_Berber +25% Moroccan +25% Saudi @ 5.008
7 50% Mozabite_Berber +25% Mozabite_Berber +25% Yemenite_Jewish @ 5.036
8 50% Mozabite_Berber +25% Algerian +25% Yemenite_Jewish @ 5.063
9 50% Algerian +25% Mozabite_Berber +25% Yemenite_Jewish @ 5.207
10 50% Mozabite_Berber +25% Moroccan +25% Yemenite_Jewish @ 5.230
223991 iterations.



Using 4 populations approximation:
1 Algerian + Algerian + Mozabite_Berber + Saudi @ 4.285
2 Algerian + Mozabite_Berber + Mozabite_Berber + Saudi @ 4.354
3 Algerian + Algerian + Algerian + Saudi @ 4.357
4 Mozabite_Berber + Mozabite_Berber + Mozabite_Berber + Saudi @ 4.558
5 Algerian + Algerian + Moroccan + Saudi @ 4.791
6 Algerian + Moroccan + Mozabite_Berber + Saudi @ 4.838
7 Moroccan + Mozabite_Berber + Mozabite_Berber + Saudi @ 5.008
8 Mozabite_Berber + Mozabite_Berber + Mozabite_Berber + Yemenite_Jewish @ 5.036
9 Algerian + Mozabite_Berber + Mozabite_Berber + Yemenite_Jewish @ 5.063
10 Algerian + Algerian + Mozabite_Berber + Yemenite_Jewish @ 5.207
11 Moroccan + Mozabite_Berber + Mozabite_Berber + Yemenite_Jewish @ 5.230
12 Algerian + Moroccan + Mozabite_Berber + Yemenite_Jewish @ 5.269
13 Algerian + Algerian + Moroccan + Yemenite_Jewish @ 5.422
14 Algerian + Algerian + Algerian + Yemenite_Jewish @ 5.460
15 Algerian + Moroccan + Moroccan + Saudi @ 5.514
16 Moroccan + Moroccan + Mozabite_Berber + Yemenite_Jewish @ 5.648
17 Moroccan + Moroccan + Mozabite_Berber + Saudi @ 5.650
18 Algerian + Moroccan + Moroccan + Yemenite_Jewish @ 5.697
19 Moroccan + Moroccan + Moroccan + Yemenite_Jewish @ 6.244
20 Moroccan + Moroccan + Moroccan + Saudi @ 6.429

Oracle X

Pct. Calc. Option 1

1 Algerian 72.49%
2 Saudi 24.49%
3 Yoruban 2.27%
4 Mayan 0.43%
5 Ethiopian_Amhara 0.27%
6 Spanish_Castilla_Y_Leon 0.05%
7 Mozabite_Berber 0.00%
8 Spanish_Murcia 0.00%
9 Spanish_Galicia 0.00%
10 Moroccan 0.00%


Pct. Calc. Option 2

1 Algerian 51.58%
2 Saudi 16.66%
3 Yemenite_Jewish 6.94%
4 Yoruban 6.33%
5 Ethiopian_Amhara 5.09%
6 Moroccan 4.44%
7 Spanish_Galicia 3.73%
8 Spanish_Murcia 2.95%
9 Mozabite_Berber 1.20%
10 Egyptian 1.10%

Sapporo
11-23-2013, 01:58 PM
Eurogenes K13 with Updated Oracle:

Admix Results (sorted):

# Population Percent
1 South_Asian 43.45
2 West_Asian 36.45
3 Baltic 11.97
4 North_Atlantic 2.39
5 East_Med 2.15
6 Amerindian 1.97
7 Siberian 1.06
8 Red_Sea 0.34
9 Northeast_African 0.22

Single Population Sharing:

# Population (source) Distance
1 Pathan 5.08
2 Punjabi_Jat 5.11
3 Sindhi 8.12
4 Burusho 10.05
5 Kalash 10.26
6 Gujarati 16.14
7 Brahmin_UP 16.32
8 Kshatriya 17.87
9 Afghan_Pashtun 18.04
10 Balochi 20.94
11 Brahui 21.54
12 Makrani 22
13 Bangladeshi 23.25
14 Dharkar 25.75
15 Tadjik 26.17
16 Afghan_Tadjik 26.53
17 Kanjar 26.62
18 Velamas 29
19 Uttar_Pradesh 30.09
20 Kurumba 30.11

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 76.9% Kalash + 23.1% North_Kannadi @ 3.23
2 80.5% Pathan + 19.5% Gujarati @ 3.34
3 73.1% Kalash + 26.9% Kanjar @ 3.35
4 79.6% Kalash + 20.4% Chamar @ 3.43
5 87.6% Pathan + 12.4% Kanjar @ 3.45
6 82.5% Pathan + 17.5% Kshatriya @ 3.45
7 64.5% Kalash + 35.5% Kshatriya @ 3.52
8 72.6% Kalash + 27.4% Dharkar @ 3.53
9 90% Pathan + 10% North_Kannadi @ 3.57
10 76.4% Kalash + 23.6% Kol @ 3.59
11 81.7% Pathan + 18.3% Brahmin_UP @ 3.6
12 87.8% Pathan + 12.2% Dharkar @ 3.62
13 89.8% Pathan + 10.2% Kol @ 3.63
14 90.7% Pathan + 9.3% Piramalai @ 3.65
15 91.5% Pathan + 8.5% Chamar @ 3.67
16 75.7% Kalash + 24.3% Uttar_Pradesh @ 3.71
17 89.6% Pathan + 10.4% Uttar_Pradesh @ 3.71
18 90.1% Pathan + 9.9% Dusadh @ 3.71
19 91.6% Pathan + 8.4% Sakilli @ 3.72
20 89.7% Pathan + 10.3% Kurumba @ 3.73

It's unfortunate that the Afghan Pashtuns average is only based on 3 samples and from such an isolated region away from the Pashtun heartland. Based on their admixture results, they seem to be much less South Asian shifted and more East Eurasian shifted than the HGDP Pashtuns. I think one of the individual Afghan Pashtuns shows more elevated East Eurasian admixture in comparison to the other two and that may signal some Tajik or Uzbek admixture. The individual results for the Afghan Tajiks are interesting as well since they are more South Asian shifted and just as much or more East Eurasian shifted in comparison to the Tajikistan Tajiks.

Sein
11-23-2013, 02:19 PM
Now that the Oracle is updated:

Me
# Population (source) Distance
1 Pathan 5.29
2 Kalash 7.33
3 Burusho 8.45
4 Afghan_Pashtun 10.27
5 Sindhi 11.37
6 Punjabi_Jat 11.45
7 Makrani 14.06
8 Balochi 14.28
9 Brahui 14.79
10 Afghan_Tadjik 19.08
11 Tadjik 19.09
12 Brahmin_UP 24.29
13 Gujarati 24.35
14 Kshatriya 25.95
15 Turkmen 27.2
16 Bangladeshi 29.77
17 Kumyk 30.45
18 Chechen 30.51
19 Lezgin 30.55
20 Iranian 30.63

# Primary Population (source) Secondary Population (source) Distance
1 88.8% Pathan + 11.2% Abhkasian @ 2.73
2 88.8% Pathan + 11.2% Georgian @ 2.85
3 88% Pathan + 12% North_Ossetian @ 2.99
4 88% Pathan + 12% Adygei @ 3.09
5 76.2% Pathan + 23.8% Makrani @ 3.11
6 88.3% Pathan + 11.7% Balkar @ 3.17
7 88% Pathan + 12% Kumyk @ 3.31
8 88.1% Pathan + 11.9% Chechen @ 3.34
9 88.9% Pathan + 11.1% Kurdish @ 3.42
10 88.3% Pathan + 11.7% Lezgin @ 3.42
11 88.4% Pathan + 11.6% Iranian @ 3.47
12 78.7% Pathan + 21.3% Brahui @ 3.58
13 71.5% Pathan + 28.5% Afghan_Pashtun @ 3.64
14 78.3% Pathan + 21.7% Balochi @ 3.64
15 91.4% Pathan + 8.6% Georgian_Jewish @ 3.68
16 91.3% Pathan + 8.7% Armenian @ 3.68
17 88.2% Pathan + 11.8% Turkmen @ 3.87
18 91.8% Pathan + 8.2% Azeri_Jewish @ 3.88
19 92.3% Pathan + 7.7% Assyrian @ 3.94
20 91.4% Pathan + 8.6% Turkish @ 3.99

My Father
# Population (source) Distance
1 Afghan_Pashtun 9.55
2 Burusho 10.84
3 Pathan 11.69
4 Kalash 13.28
5 Afghan_Tadjik 13.71
6 Tadjik 14.66
7 Makrani 16
8 Punjabi_Jat 16.2
9 Sindhi 17.16
10 Balochi 18.16
11 Brahui 18.55
12 Turkmen 21.78
13 Kumyk 26.91
14 Brahmin_UP 27.17
15 Iranian 27.37
16 Chechen 27.88
17 Gujarati 28.18
18 Lezgin 28.19
19 Balkar 28.7
20 Aghan_Hazara 28.78

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 82.4% Burusho + 17.6% Jordanian @ 5.23
2 81.2% Burusho + 18.8% Syrian @ 5.35
3 74.1% Burusho + 25.9% Iranian @ 5.4
4 83.2% Burusho + 16.8% Palestinian @ 5.42
5 84.3% Burusho + 15.7% Egyptian @ 5.47
6 81.6% Burusho + 18.4% Lebanese_Muslim @ 5.47
7 83.1% Burusho + 16.9% Bedouin @ 5.48
8 79.6% Burusho + 20.4% Azeri_Jewish @ 5.55
9 83.5% Burusho + 16.5% Lebanese_Druze @ 5.64
10 80.7% Burusho + 19.3% Assyrian @ 5.72
11 80% Burusho + 20% Georgian_Jewish @ 5.73
12 84% Burusho + 16% Lebanese_Christian @ 5.8
13 84.1% Burusho + 15.9% Samaritan @ 5.84
14 75.9% Burusho + 24.1% Kurdish @ 5.86
15 77.7% Burusho + 22.3% Turkish @ 5.89
16 83.4% Burusho + 16.6% Cyprian @ 6
17 80.1% Burusho + 19.9% Armenian @ 6.09
18 86.8% Burusho + 13.2% Yemenite_Jewish @ 6.09
19 55.3% Pathan + 44.7% Afghan_Tadjik @ 6.22
20 86.1% Burusho + 13.9% Saudi @ 6.27

My Mother
# Population (source) Distance
1 Kalash 6.68
2 Pathan 8.58
3 Sindhi 11.15
4 Burusho 12.17
5 Punjabi_Jat 12.27
6 Balochi 13.03
7 Brahui 13.69
8 Afghan_Pashtun 15.33
9 Makrani 15.52
10 Gujarati 24.46
11 Tadjik 24.98
12 Afghan_Tadjik 25.48
13 Brahmin_UP 25.49
14 Kshatriya 26.64
15 Bangladeshi 31.61
16 Lezgin 33.62
17 Turkmen 33.7
18 Chechen 33.71
19 Dharkar 34.18
20 Kumyk 34.81

# Primary Population (source) Secondary Population (source) Distance
1 76% Kalash + 24% Sindhi @ 5.98
2 65.5% Pathan + 34.5% Balochi @ 6.05
3 67.1% Pathan + 32.9% Brahui @ 6.14
4 84.3% Kalash + 15.7% Brahui @ 6.28
5 94.3% Kalash + 5.7% Velamas @ 6.31
6 74% Kalash + 26% Pathan @ 6.36
7 95.6% Kalash + 4.4% Piramalai @ 6.39
8 85.6% Kalash + 14.4% Balochi @ 6.4
9 95.2% Kalash + 4.8% Kurumba @ 6.4
10 88.2% Kalash + 11.8% Makrani @ 6.4
11 95.5% Kalash + 4.5% Dusadh @ 6.42
12 96.3% Kalash + 3.7% Sakilli @ 6.45
13 96% Kalash + 4% North_Kannadi @ 6.46
14 93.5% Kalash + 6.5% Gujarati @ 6.47
15 95.4% Kalash + 4.6% Kanjar @ 6.47
16 96.7% Kalash + 3.3% Chamar @ 6.48
17 95.5% Kalash + 4.5% Dharkar @ 6.49
18 96.2% Kalash + 3.8% Kol @ 6.5
19 53.7% Punjabi_Jat + 46.3% Brahui @ 6.51
20 96.7% Kalash + 3.3% Chenchu @ 6.52

Results for an Afghan Pashtun friend, Popalzai Durrani
# Population (source) Distance
1 Afghan_Pashtun 3.5
2 Kalash 11.38
3 Tadjik 12.27
4 Pathan 12.45
5 Makrani 12.99
6 Afghan_Tadjik 13.51
7 Burusho 13.53
8 Balochi 14.28
9 Brahui 15.17
10 Punjabi_Jat 17.17
11 Sindhi 18.14
12 Turkmen 20.1
13 Lezgin 22.83
14 Kumyk 22.91
15 Chechen 23.03
16 Adygei 24.42
17 Iranian 24.64
18 Balkar 24.72
19 North_Ossetian 25.03
20 Kurdish 25.84

# Primary Population (source) Secondary Population (source) Distance
1 87% Afghan_Pashtun + 13% Makrani @ 2.94
2 64.4% Kalash + 35.6% Turkmen @ 3.01
3 91.6% Afghan_Pashtun + 8.4% Sindhi @ 3.1
4 96.5% Afghan_Pashtun + 3.5% Velamas @ 3.14
5 97.5% Afghan_Pashtun + 2.5% Austroasiatic_Ho @ 3.18
6 97.1% Afghan_Pashtun + 2.9% Piramalai @ 3.19
7 97% Afghan_Pashtun + 3% Dusadh @ 3.19
8 94.5% Afghan_Pashtun + 5.5% Iranian @ 3.19
9 97.1% Afghan_Pashtun + 2.9% Chenchu @ 3.19
10 97.3% Afghan_Pashtun + 2.7% Sakilli @ 3.2
11 89.5% Afghan_Pashtun + 10.5% Pathan @ 3.2
12 96.9% Afghan_Pashtun + 3.1% Kurumba @ 3.2
13 96.4% Afghan_Pashtun + 3.6% Assyrian @ 3.22
14 96.3% Afghan_Pashtun + 3.7% Bangladeshi @ 3.23
15 97.5% Afghan_Pashtun + 2.5% Chamar @ 3.24
16 97.2% Afghan_Pashtun + 2.8% Kol @ 3.24
17 97.2% Afghan_Pashtun + 2.8% Lebanese_Druze @ 3.24
18 97.3% Afghan_Pashtun + 2.7% North_Kannadi @ 3.24
19 97.3% Afghan_Pashtun + 2.7% Lebanese_Christian @ 3.25
20 97.9% Afghan_Pashtun + 2.1% Yemenite_Jewish @ 3.25

I find it interesting that my "Mixed Mode" results are still the same. Instead of construing me as a Metspalu Pashtun with a very substantial South Asian shift, I'm still a HGDP Pashtun with a very substantial West Asian-Caucasus shift. I think the North_Atlantic component makes the difference here. The Metspalu Pashtuns have very substantial percentages of that component, while I, like the HGDP Pashtuns, have a virtually noise-level percentage of that component. Also, my Baltic is already slightly lower than the HGDP Pashtuns. I think the Metspalu Pashtuns have European percentages comparable to Punjabi Jatts. Still, according to my mixed mode oracle, I can also be construed as 70% HGDP Pashtun, and 30% Metspalu Pashtun.

Hanna
11-23-2013, 03:05 PM
I don't think the South Asian component reflects Indian admixture, Central Asians have even more of it. The calculator is likely mislabelling some West Asian (Gedrosian) genes as South Asian for certain West and Central Asian groups.
Yes but still on other calculators that have Gedrosia as a component I have seen Kurds and Persians scoring some South Asian.

NK19191
11-23-2013, 04:28 PM
Here is mine - North West Iranian.

K13
Admix Results (sorted):

# Population Percent
1 West_Asian 40.71
2 East_Med 22.81
3 South_Asian 11.17
4 West_Med 6.89
5 Baltic 6.01
6 Red_Sea 5.52
7 North_Atlantic 2.76
8 East_Asian 1.31
9 Northeast_African 1.29
10 Siberian 1.08
11 Oceanian 0.3
12 Amerindian 0.08
13 Sub-Saharan 0.06

Single Population Sharing:

# Population (source) Distance
1 Kurdish 7.11
2 Iranian 7.58
3 Kumyk 11.2
4 Adygei 12.95
5 Georgian 13.55
6 Turkish 13.68
7 Armenian 14.49
8 Balkar 14.59
9 Turkmen 14.95
10 Abhkasian 15.09
11 North_Ossetian 15.35
12 Georgian_Jewish 15.44
13 Azeri_Jewish 16.2
14 Chechen 16.5
15 Lezgin 16.73
16 Assyrian 18.38
17 Afghan_Tadjik 20.01
18 Tadjik 20.59
19 Afghan_Pashtun 21.07
20 Makrani 21.32

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 82.9% Kurdish + 17.1% Kalash @ 3.51
2 58% Georgian_Jewish + 42% Afghan_Pashtun @ 3.53
3 77.2% Kurdish + 22.8% Afghan_Pashtun @ 3.59
4 83.9% Kurdish + 16.1% Burusho @ 3.64
5 66.6% Georgian_Jewish + 33.4% Kalash @ 3.79
6 59.7% Armenian + 40.3% Afghan_Pashtun @ 3.86
7 83.9% Kurdish + 16.1% Pathan @ 4.07
8 86% Kurdish + 14% Punjabi_Jat @ 4.17
9 81.7% Kurdish + 18.3% Balochi @ 4.23
10 78% Kurdish + 22% Tadjik @ 4.26
11 68.3% Armenian + 31.7% Kalash @ 4.31
12 77.6% Kurdish + 22.4% Afghan_Tadjik @ 4.31
13 63.2% Georgian_Jewish + 36.8% Balochi @ 4.35
14 69.2% Iranian + 30.8% Balkar @ 4.38
15 82.1% Kurdish + 17.9% Brahui @ 4.39
16 66.6% Iranian + 33.4% Adygei @ 4.51
17 70.7% Iranian + 29.3% North_Ossetian @ 4.54
18 79.3% Kurdish + 20.7% Makrani @ 4.57
19 86.6% Kurdish + 13.4% Sindhi @ 4.6
20 66.6% Turkish + 33.4% Brahui @ 4.64

NK19191
11-23-2013, 04:32 PM
Yes but still on other calculators that have Gedrosia as a component I have seen Kurds and Persians scoring some South Asian.

I think Dodecad K12b has Gedrosia. Iranians that i have seen score between 1-6% South Asian there.

vettor
11-23-2013, 04:38 PM
my K13 test below .............with a few questions

Eurogenes K13 Oracle results:
K13 Oracle ref data revised 21 Nov 2013

Admix Results (sorted):

# Population Percent
1 North_Atlantic 29.98
2 West_Med 23.08
3 East_Med 17.3
4 Baltic 16.99
5 West_Asian 8.11
6 Red_Sea 2.29
7 South_Asian 1.16
8 East_Asian 0.56
9 Sub-Saharan 0.31
10 Oceanian 0.22

Single Population Sharing:

# Population (source) Distance
1 North_Italian 5.8
2 Tuscan 9.41
3 Romanian 10.32
4 Portuguese 11.04
5 Bulgarian 11.4
6 Serbian 11.71
7 Spanish_Galicia 11.72
8 Spanish_Extremadura 11.78
9 Spanish_Cataluna 12.45
10 Spanish_Murcia 12.94
11 Spanish_Valencia 12.96
12 Spanish_Castilla_Y_Leon 13.13
13 French 13.19
14 Spanish_Andalucia 13.27
15 Spanish_Castilla_La_Mancha 14.31
16 Spanish_Cantabria 15.12
17 Southwest_French 16.06
18 Greek 16.4
19 Austrian 16.42
20 Spanish_Aragon 17.21

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 85% North_Italian + 15% Ukrainian_Northeast @ 1.28
2 53.8% Bulgarian + 46.2% Spanish_Andalucia @ 1.31
3 67.3% North_Italian + 32.7% Serbian @ 1.37
4 82.5% North_Italian + 17.5% Ukrainian_West @ 1.55
5 55.7% Bulgarian + 44.3% Spanish_Castilla_La_Mancha @ 1.56
6 84.9% North_Italian + 15.1% Russian @ 1.58
7 60.3% Bulgarian + 39.7% Spanish_Aragon @ 1.59
8 87% North_Italian + 13% Erzya @ 1.6
9 83.3% North_Italian + 16.7% Ukrainian @ 1.68
10 53.3% Bulgarian + 46.7% Spanish_Valencia @ 1.71
11 50.9% Bulgarian + 49.1% Spanish_Extremadura @ 1.75
12 56.4% Romanian + 43.6% Spanish_Andalucia @ 1.83
13 82.8% North_Italian + 17.2% Polish @ 1.85
14 86.4% North_Italian + 13.6% Kargopol_Russian @ 1.85
15 87.5% North_Italian + 12.5% Lithuanian @ 1.96
16 65% North_Italian + 35% Romanian @ 2.01
17 86.1% North_Italian + 13.9% Belorussian @ 2.02
18 53.3% Bulgarian + 46.7% Spanish_Murcia @ 2.06
19 76.1% North_Italian + 23.9% Hungarian @ 2.11
20 75.3% North_Italian + 24.7% Austrian @ 2.28


Oracle-x

Pct. Calc. Option 1

1 North_Italian 79.98%
2 Ukrainian_Northeast 15.12%
3 Sardinian 2.07%
4 Makrani 1.90%
5 Serbian 0.34%
6 Balkar 0.30%
7 Bulgarian 0.18%
8 Yoruban 0.11%
9 Chuvash 0.00%
10 Romanian 0.00%


Question 1- Does east-med mean the pontic-black sea areas?

Q2 - Does oracleX represent a persons X chromosome?

Q3 - The PCA 3D and 2D has me close to Tajik and Turkmenistan ...........what are the PCA numbers I need to use?


East-Med terminology - East Mediterranean or Pontid race (Black Sea coast of Ukraine, Romania and Bulgaria; Aegean coasts of Greece and Turkey). is this the term used in K13?

hmm - First time I have had any Spanish or iberian appear in any and all gedmatch tests or any other outside test

Stellaritic
11-23-2013, 07:49 PM
@Vettor
I think Polako's East Med component peaks in Cypriots,Druze and Lebanese Christians .
The West Med peaks in Sardinians if I am not mistaken .

Check this out :
https://docs.google.com/file/d/0B9o3EYTdM8lQUlVTRmxQdGpZdW8/edit

Humanist
11-23-2013, 08:09 PM
Question 1- Does east-med mean the pontic-black sea areas?

....

East-Med terminology - East Mediterranean or Pontid race (Black Sea coast of Ukraine, Romania and Bulgaria; Aegean coasts of Greece and Turkey). is this the term used in K13?


@Vettor
I think Polako's East Med component peaks in Cypriots,Druze and Lebanese Christians.

The West Med peaks in Sardinians if I am not mistaken.

That is what I would expect also Stellaritic. Unless Polako is using "East Mediterranean" in a way that is not consistent with the below Wikipedia bit.

Wikipedia

http://i1096.photobucket.com/albums/g326/dok101/Faces/east_med.jpg

vettor
11-23-2013, 08:31 PM
@Vettor
I think Polako's East Med component peaks in Cypriots,Druze and Lebanese Christians .
The West Med peaks in Sardinians if I am not mistaken .

Check this out :
https://docs.google.com/file/d/0B9o3EYTdM8lQUlVTRmxQdGpZdW8/edit

thanks

So, I also have a lot of west-med...............sardinian ?, ancient ?...pre-bronze?

vettor
11-23-2013, 08:34 PM
That is what I would expect also Stellaritic. Unless Polako is using "East Mediterranean" in a way that is not consistent with the below Wikipedia bit.

Wikipedia

http://i1096.photobucket.com/albums/g326/dok101/Faces/east_med.jpg

My issue is that I have a lot of "bulgarian/romanian and ukraine" in my test and zero for the area of the levant you indicate, so I assumed east-med meant what was correctly termed in other studies..............maybe Polako will clarify!!

Dr_McNinja
11-23-2013, 08:38 PM
New Oracle results for HRP0370/Afghan Pashtun Popalzai/Durrani:

Single Population Sharing:

# Population (source) Distance
1 Afghan_Pashtun 2.88
2 Kalash 11.42
3 Tadjik 11.89
4 Pathan 13.26
5 Makrani 13.99
6 Afghan_Tadjik 14.28
7 Balochi 14.88
8 Burusho 14.89
9 Brahui 15.93
10 Punjabi_Jat 17.67
11 Sindhi 19.4
12 Turkmen 20.58
13 Lezgin 21.56
14 Chechen 21.8
15 Kumyk 22.13
16 Adygei 23.56
17 Balkar 24.09
18 North_Ossetian 24.24
19 Iranian 24.75
20 Kurdish 25.88

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 95.1% Afghan_Pashtun + 4.9% Iranian @ 2.59
2 97.9% Afghan_Pashtun + 2.1% Yemenite_Jewish @ 2.59
3 98% Afghan_Pashtun + 2% Saudi @ 2.64
4 95.7% Afghan_Pashtun + 4.3% Kurdish @ 2.64
5 97.5% Afghan_Pashtun + 2.5% Jordanian @ 2.64
6 97.6% Afghan_Pashtun + 2.4% Palestinian @ 2.64
7 62.2% Pathan + 37.8% Lezgin @ 2.64
8 96.8% Afghan_Pashtun + 3.2% Georgian_Jewish @ 2.64
9 97% Afghan_Pashtun + 3% Assyrian @ 2.64
10 97.6% Afghan_Pashtun + 2.4% Lebanese_Druze @ 2.64
11 97.7% Afghan_Pashtun + 2.3% Samaritan @ 2.65
12 96.9% Afghan_Pashtun + 3.1% Azeri_Jewish @ 2.65
13 97.7% Afghan_Pashtun + 2.3% Lebanese_Christian @ 2.66
14 98.4% Afghan_Pashtun + 1.6% Ethiopian_Tigray @ 2.66
15 97.7% Afghan_Pashtun + 2.3% Bedouin @ 2.66
16 98.5% Afghan_Pashtun + 1.5% Ethiopian_Amhara @ 2.67
17 97.4% Afghan_Pashtun + 2.6% Syrian @ 2.68
18 97.5% Afghan_Pashtun + 2.5% Lebanese_Muslim @ 2.68
19 98% Afghan_Pashtun + 2% Egyptian @ 2.69
20 97.1% Afghan_Pashtun + 2.9% Armenian @ 2.7


-----

Least-squares method.

Using 1 population approximation:
1 Afghan_Pashtun @ 2.996
2 Tadjik @ 12.747
3 Kalash @ 12.998
4 Afghan_Tadjik @ 14.928
5 Pathan @ 14.986
6 Makrani @ 15.731
7 Burusho @ 16.598
8 Balochi @ 17.012
9 Brahui @ 18.218
10 Punjabi_Jat @ 19.994
179 iterations.



Using 2 populations approximation:
1 50% Afghan_Pashtun +50% Afghan_Pashtun @ 2.996
2 50% Lezgin +50% Sindhi @ 4.265
3 50% Lezgin +50% Punjabi_Jat @ 4.527
4 50% Chechen +50% Sindhi @ 4.749
5 50% Kumyk +50% Punjabi_Jat @ 5.053
6 50% Chechen +50% Punjabi_Jat @ 5.159
7 50% Adygei +50% Punjabi_Jat @ 5.378
8 50% Lezgin +50% Pathan @ 5.541
9 50% North_Ossetian +50% Punjabi_Jat @ 5.703
10 50% Kumyk +50% Sindhi @ 5.840
16110 iterations.



Using 3 populations approximation:
1 50% Lezgin +25% Gujarati +25% Pathan @ 2.598
2 50% Afghan_Pashtun +25% Lezgin +25% Sindhi @ 2.618
3 50% Pathan +25% Afghan_Pashtun +25% Lezgin @ 2.629
4 50% Lezgin +25% Afghan_Pashtun +25% Velamas @ 2.828
5 50% Lezgin +25% Afghan_Pashtun +25% Kurumba @ 2.832
6 50% Pathan +25% Lezgin +25% Tadjik @ 2.887
7 50% Lezgin +25% Burusho +25% Gujarati @ 2.893
8 50% Lezgin +25% Kshatriya +25% Pathan @ 2.923
9 50% Afghan_Pashtun +25% Lezgin +25% Punjabi_Jat @ 2.951
10 50% Afghan_Pashtun +25% Afghan_Pashtun +25% Afghan_Pashtun @ 2.996
300166 iterations.



Using 4 populations approximation:
1 Gujarati + Lezgin + Lezgin + Pathan @ 2.598
2 Afghan_Pashtun + Afghan_Pashtun + Lezgin + Sindhi @ 2.618
3 Afghan_Pashtun + Lezgin + Pathan + Pathan @ 2.629
4 Lezgin + Pathan + Sindhi + Tadjik @ 2.668
5 Afghan_Pashtun + Lezgin + Lezgin + Velamas @ 2.828
6 Afghan_Pashtun + Kurumba + Lezgin + Lezgin @ 2.832
7 Lezgin + Pathan + Pathan + Tadjik @ 2.887
8 Burusho + Gujarati + Lezgin + Lezgin @ 2.893
9 Kshatriya + Lezgin + Lezgin + Pathan @ 2.923
10 Chechen + Gujarati + Lezgin + Pathan @ 2.951
11 Afghan_Pashtun + Afghan_Pashtun + Lezgin + Punjabi_Jat @ 2.951
12 Afghan_Pashtun + Afghan_Pashtun + Afghan_Pashtun + Afghan_Pashtun @ 2.996
13 Kalash + Kshatriya + Lezgin + Lezgin @ 2.996
14 Afghan_Pashtun + Afghan_Pashtun + Chechen + Sindhi @ 3.053
15 Gujarati + Kalash + Kumyk + Lezgin @ 3.065
16 Afghan_Pashtun + Afghan_Pashtun + Kumyk + Punjabi_Jat @ 3.105
17 Afghan_Pashtun + Chechen + Lezgin + Velamas @ 3.109
18 Afghan_Pashtun + Afghan_Pashtun + Lezgin + Pathan @ 3.118
19 Brahmin_UP + Lezgin + Lezgin + Sindhi @ 3.120
20 Afghan_Pashtun + Kalash + Kumyk + Pathan @ 3.125

615659 iterations.

Done.

Dr_McNinja
11-23-2013, 08:42 PM
My updated Oracle results:

Single Population Sharing:

# Population (source) Distance
1 Brahmin_UP 7.11
2 Gujarati 7.54
3 Kshatriya 8.83
4 Punjabi_Jat 9.25
5 Sindhi 10.72
6 Pathan 13.14
7 Bangladeshi 15.24
8 Burusho 15.94
9 Dharkar 16.78
10 Kanjar 17.88
11 Kalash 18.94
12 Velamas 20.31
13 Uttar_Pradesh 20.9
14 Kurumba 21.14
15 Kol 22.32
16 Dusadh 22.97
17 North_Kannadi 23.83
18 Afghan_Pashtun 24.99
19 Chenchu 25.24
20 Piramalai 25.69

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 80.7% Brahmin_UP + 19.3% Brahui @ 1.83
2 60.6% Brahmin_UP + 39.4% Sindhi @ 1.86
3 80.7% Brahmin_UP + 19.3% Makrani @ 1.89
4 80.6% Brahmin_UP + 19.4% Balochi @ 2.02
5 74.4% Kshatriya + 25.6% Afghan_Pashtun @ 2.11
6 77.7% Gujarati + 22.3% Afghan_Pashtun @ 2.42
7 86.7% Gujarati + 13.3% Chechen @ 2.57
8 70.3% Punjabi_Jat + 29.7% Kurumba @ 2.6
9 65.1% Punjabi_Jat + 34.9% Dharkar @ 2.61
10 66.1% Brahmin_UP + 33.9% Pathan @ 2.62
11 86.7% Gujarati + 13.3% Lezgin @ 2.65
12 81.7% Gujarati + 18.3% Tadjik @ 2.65
13 51.3% Kshatriya + 48.7% Punjabi_Jat @ 2.67
14 69% Kshatriya + 31% Kalash @ 2.67
15 86.6% Gujarati + 13.4% Kumyk @ 2.7
16 76.6% Punjabi_Jat + 23.4% Chamar @ 2.7
17 60.5% Kshatriya + 39.5% Pathan @ 2.71
18 84.6% Kshatriya + 15.4% Chechen @ 2.71
19 87.1% Gujarati + 12.9% Balkar @ 2.71
20 85.2% Kshatriya + 14.8% North_Ossetian @ 2.72


Least-squares method.

Using 1 population approximation:
1 Gujarati @ 7.918
2 Brahmin_UP @ 8.011
3 Kshatriya @ 9.695
4 Punjabi_Jat @ 10.702
5 Sindhi @ 12.330
6 Pathan @ 15.242
7 Bangladeshi @ 16.610
8 Burusho @ 18.005
9 Dharkar @ 18.785
10 Kanjar @ 19.950
179 iterations.



Using 2 populations approximation:
1 50% Brahmin_UP +50% Sindhi @ 2.786
2 50% Kshatriya +50% Punjabi_Jat @ 2.807
3 50% Kalash +50% Uttar_Pradesh @ 3.141
4 50% Gujarati +50% Punjabi_Jat @ 3.294
5 50% Kalash +50% Kol @ 3.608
6 50% Dharkar +50% Kalash @ 3.809
7 50% Kalash +50% Kanjar @ 3.882
8 50% Kshatriya +50% Sindhi @ 3.902
9 50% Kshatriya +50% Pathan @ 4.145
10 50% Brahmin_UP +50% Punjabi_Jat @ 4.270
16110 iterations.



Using 3 populations approximation:
1 50% Kshatriya +25% Punjabi_Jat +25% Sindhi @ 2.341
2 50% Kshatriya +25% Afghan_Pashtun +25% Gujarati @ 2.357
3 50% Gujarati +25% Afghan_Pashtun +25% Kshatriya @ 2.374
4 50% Brahmin_UP +25% Balochi +25% Dharkar @ 2.464
5 50% Punjabi_Jat +25% Chamar +25% Sindhi @ 2.509
6 50% Brahmin_UP +25% Balochi +25% Kanjar @ 2.533
7 50% Kshatriya +25% Afghan_Pashtun +25% Kshatriya @ 2.620
8 50% Brahmin_UP +25% Punjabi_Jat +25% Sindhi @ 2.632
9 50% Gujarati +25% Afghan_Pashtun +25% Gujarati @ 2.666
10 50% Brahmin_UP +25% Brahui +25% Dharkar @ 2.728
114927 iterations.



Using 4 populations approximation:
1 Brahmin_UP + Kshatriya + Punjabi_Jat + Sindhi @ 2.146
2 Brahmin_UP + Kalash + Sindhi + Uttar_Pradesh @ 2.307
3 Kshatriya + Kshatriya + Punjabi_Jat + Sindhi @ 2.341
4 Afghan_Pashtun + Kshatriya + Piramalai + Punjabi_Jat @ 2.343
5 Afghan_Pashtun + Gujarati + Piramalai + Punjabi_Jat @ 2.344
6 Afghan_Pashtun + Gujarati + Kshatriya + Kshatriya @ 2.357
7 Afghan_Pashtun + Gujarati + Gujarati + Kshatriya @ 2.374
8 Brahmin_UP + Pathan + Punjabi_Jat + Velamas @ 2.428
9 Brahmin_UP + Kurumba + Pathan + Punjabi_Jat @ 2.433
10 Brahmin_UP + Dharkar + Punjabi_Jat + Sindhi @ 2.436
11 Brahmin_UP + Kalash + Kol + Sindhi @ 2.444
12 Brahmin_UP + Kalash + Kurumba + Punjabi_Jat @ 2.462
13 Balochi + Brahmin_UP + Brahmin_UP + Dharkar @ 2.464
14 Chamar + Punjabi_Jat + Punjabi_Jat + Sindhi @ 2.509
15 Balochi + Brahmin_UP + Brahmin_UP + Kanjar @ 2.533
16 Afghan_Pashtun + Brahmin_UP + Piramalai + Punjabi_Jat @ 2.534
17 Afghan_Pashtun + Chamar + Gujarati + Punjabi_Jat @ 2.540
18 Brahmin_UP + Kalash + Punjabi_Jat + Velamas @ 2.552
19 Afghan_Pashtun + Kshatriya + Kshatriya + Kshatriya @ 2.620
20 Brahmin_UP + Gujarati + Punjabi_Jat + Sindhi @ 2.627

227409 iterations.


My mother's updated results:

Single Population Sharing:

# Population (source) Distance
1 Punjabi_Jat 7.85
2 Brahmin_UP 9.13
3 Gujarati 9.41
4 Sindhi 9.54
5 Kshatriya 10.68
6 Pathan 10.95
7 Burusho 14.93
8 Bangladeshi 16.88
9 Kalash 17.26
10 Dharkar 18.67
11 Kanjar 19.6
12 Velamas 22.01
13 Uttar_Pradesh 22.83
14 Kurumba 23.1
15 Afghan_Pashtun 23.32
16 Kol 24.18
17 Dusadh 24.78
18 North_Kannadi 25.55
19 Balochi 26.83
20 Makrani 26.9

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 50.6% Kshatriya + 49.4% Pathan @ 1.99
2 54.8% Brahmin_UP + 45.2% Pathan @ 2.4
3 69.3% Pathan + 30.7% Kol @ 2.43
4 64.6% Pathan + 35.4% Kanjar @ 2.43
5 81% Kshatriya + 19% Lezgin @ 2.46
6 83% Gujarati + 17% Lezgin @ 2.53
7 68.1% Pathan + 31.9% Uttar_Pradesh @ 2.57
8 74.3% Pathan + 25.7% Chamar @ 2.68
9 83.1% Gujarati + 16.9% Chechen @ 2.71
10 54.1% Gujarati + 45.9% Pathan @ 2.72
11 81.1% Kshatriya + 18.9% Chechen @ 2.76
12 69.2% Kshatriya + 30.8% Afghan_Pashtun @ 2.76
13 75.5% Brahmin_UP + 24.5% Makrani @ 2.78
14 63.6% Pathan + 36.4% Dharkar @ 2.79
15 70.6% Pathan + 29.4% North_Kannadi @ 2.8
16 83% Gujarati + 17% Kumyk @ 2.81
17 83.6% Gujarati + 16.4% Adygei @ 2.87
18 81.6% Kshatriya + 18.4% Adygei @ 2.9
19 72.1% Pathan + 27.9% Piramalai @ 2.92
20 74.4% Pathan + 25.6% Sakilli @ 2.94


Least-squares method.

Using 1 population approximation:
1 Punjabi_Jat @ 9.272
2 Gujarati @ 10.143
3 Brahmin_UP @ 10.367
4 Sindhi @ 10.972
5 Kshatriya @ 11.839
6 Pathan @ 12.890
7 Burusho @ 17.026
8 Bangladeshi @ 18.544
9 Kalash @ 20.013
10 Dharkar @ 20.874
179 iterations.



Using 2 populations approximation:
1 50% Kshatriya +50% Pathan @ 2.680
2 50% Gujarati +50% Pathan @ 3.337
3 50% Brahmin_UP +50% Pathan @ 3.652
4 50% Brahmin_UP +50% Sindhi @ 3.687
5 50% Gujarati +50% Punjabi_Jat @ 4.082
6 50% Kshatriya +50% Punjabi_Jat @ 4.084
7 50% Kalash +50% Kanjar @ 4.204
8 50% Dharkar +50% Kalash @ 4.270
9 50% Kshatriya +50% Sindhi @ 4.742
10 50% Afghan_Pashtun +50% Kanjar @ 4.994
16110 iterations.



Using 3 populations approximation:
1 50% Kshatriya +25% Pathan +25% Pathan @ 2.680
2 50% Pathan +25% Kshatriya +25% Kshatriya @ 2.680
3 50% Pathan +25% Chamar +25% Punjabi_Jat @ 2.788
4 50% Pathan +25% Piramalai +25% Punjabi_Jat @ 2.788
5 50% Brahmin_UP +25% Pathan +25% Sindhi @ 2.832
6 50% Punjabi_Jat +25% Pathan +25% Piramalai @ 2.835
7 50% Kshatriya +25% Pathan +25% Punjabi_Jat @ 2.873
8 50% Pathan +25% Gujarati +25% Kshatriya @ 2.909
9 50% Pathan +25% Brahmin_UP +25% Kshatriya @ 2.943
10 50% Punjabi_Jat +25% Kol +25% Pathan @ 2.959
144953 iterations.



Using 4 populations approximation:
1 Brahmin_UP + Kshatriya + Pathan + Sindhi @ 2.666
2 Kshatriya + Kshatriya + Pathan + Pathan @ 2.680
3 Chamar + Pathan + Pathan + Punjabi_Jat @ 2.788
4 Pathan + Pathan + Piramalai + Punjabi_Jat @ 2.788
5 Brahmin_UP + Brahmin_UP + Pathan + Sindhi @ 2.832
6 Pathan + Piramalai + Punjabi_Jat + Punjabi_Jat @ 2.835
7 Kshatriya + Kshatriya + Pathan + Punjabi_Jat @ 2.873
8 Gujarati + Kshatriya + Pathan + Pathan @ 2.909
9 Gujarati + Kshatriya + Pathan + Punjabi_Jat @ 2.923
10 Brahmin_UP + Kalash + Pathan + Velamas @ 2.930
11 Brahmin_UP + Kshatriya + Pathan + Pathan @ 2.943
12 Kol + Pathan + Punjabi_Jat + Punjabi_Jat @ 2.959
13 Dusadh + Pathan + Punjabi_Jat + Punjabi_Jat @ 2.983
14 Brahmin_UP + Gujarati + Pathan + Sindhi @ 2.984
15 Pathan + Pathan + Punjabi_Jat + Sakilli @ 2.988
16 North_Kannadi + Pathan + Punjabi_Jat + Punjabi_Jat @ 2.998
17 Kol + Pathan + Pathan + Punjabi_Jat @ 2.998
18 Brahmin_UP + Kanjar + Pathan + Pathan @ 3.006
19 Pathan + Punjabi_Jat + Punjabi_Jat + Velamas @ 3.013
20 North_Kannadi + Pathan + Punjabi_Jat + Sindhi @ 3.040

221852 iterations.

Dr_McNinja
11-23-2013, 08:53 PM
I find it fascinating that the new "Afghan_Pashtun" is so close to the Afghan Pashtun data submitted by Sein and myself, but it can't get any closer using mixed mode or 4 population attempts. Like none of the populations used is enough to explain the difference. Also it showed up more often in my matches than my mom's.

Dr_McNinja
11-23-2013, 08:56 PM
By the way, what population is "Kshatriya"? Where is this data taken from since Kshatriya is a subcontinent-wide caste?

parasar
11-23-2013, 09:04 PM
By the way, what population is "Kshatriya"? Where is this data taken from since Kshatriya is a subcontinent-wide caste?

Rajputs from Uttar Pradesh.

Stellaritic
11-23-2013, 10:15 PM
thanks

So, I also have a lot of west-med...............sardinian ?, ancient ?...pre-bronze?
It doesn't necessarily mean that you have Sardinian ancestry, I have a lot of west and east med too .
It is just an ancient (west)Mediterranean component that is found among Sardinians .
http://img5.imageshack.us/img5/4021/u0u0.png

The East Mediterranean component is probably of neolithic origin .
http://img824.imageshack.us/img824/3828/sxq0.png

Humanist
11-23-2013, 11:32 PM
Post your single population oracle.

The Eurogenes Assyrian population consists of both East and West Assyrians.

I recall we had a discussion, via pm recently, where you stated that some believe Assyrians are nothing more than Christian Iraqi Arabs. Arabic-speaking populations in red, below.



# Population (source) Distance
1 Azeri_Jewish 2.51
2 Georgian_Jewish 3.21
3 Assyrian 3.25
4 Armenian 5.93
5 Kurdish 10.35
6 Turkish 11.1
7 Iranian 11.3
8 Lebanese_Muslim 11.82
9 Syrian 13.49
10 Lebanese_Druze 15.57
11 Lebanese_Christian 16.23
12 Cyprian 16.39
13 Jordanian 17.81
14 Samaritan 17.91
15 Palestinian 19.14
16 Georgian 21.25
17 Kumyk 22.23
18 Abhkasian 22.27
19 Bedouin 22.88
20 Turkmen 23.52

Humanist
11-24-2013, 12:17 AM
Comparing my results to the first of the two Iraqi Mandaeans:


HUM MAN
0.94 0.00 Baltic
37.88 37.29 East_Med
1.89 2.86 North_Atlantic
8.42 9.42 Red_Sea
0.97 0.00 Siberian
4.43 5.59 South_Asian
35.1 33.73 West_Asian
10.35 10.06 West_Med
0.00 0.04 Oceanian
0.00 1.02 Amerindian

And, his Oracle Single Population Sharing:


Population (source) Distance
1 Azeri_Jewish 2.25
2 Assyrian 4.17
3 Georgian_Jewish 4.97
4 Armenian 7.27
5 Kurdish 10.74
6 Lebanese_Muslim 11.04
7 Turkish 11.18
8 Iranian 11.29
9 Syrian 12.39
10 Lebanese_Druze 15.16
11 Lebanese_Christian 15.81
12 Cyprian 16.06
13 Jordanian 16.94
14 Samaritan 17.31
15 Palestinian 18.15
16 Bedouin 21.82
17 Georgian 22.26
18 Kumyk 22.81
19 Sephardic_Jewish 23.33
20 Abhkasian 23.48

MfA
11-24-2013, 01:04 AM
Northern Kurd(Kurmanji)
1 Kurdish 3.36
2 Iranian 6.84
3 Armenian 7.36
4 Georgian_Jewish 9.46
5 Azeri_Jewish 10.35
6 Turkish 10.78
7 Assyrian 12.37
8 Georgian 13.33
9 Abhkasian 14.52
10 Kumyk 14.6
11 Adygei 15.94
12 Balkar 17.55
13 Turkmen 18.08
14 North_Ossetian 18.51
15 Lebanese_Muslim 19.73
16 Chechen 20.71
17 Lezgin 20.77
18 Syrian 20.93
19 Cyprian 23.53
20 Lebanese_Druze 24.61

Central Kurd(Sorani)
1 Kurdish 3.75
2 Iranian 4.57
3 Armenian 9.86
4 Georgian_Jewish 10.59
5 Azeri_Jewish 10.64
6 Turkish 11.11
7 Assyrian 12.77
8 Kumyk 15.12
9 Georgian 16.18
10 Turkmen 16.62
11 Adygei 17.34
12 Abhkasian 17.39
13 Balkar 18.97
14 Lebanese_Muslim 19.53
15 North_Ossetian 19.99
16 Syrian 20.46
17 Lezgin 21.08
18 Chechen 21.29
19 Cyprian 23.69
20 Lebanese_Druze 24.05

Southeastern Kurd(Feyli)
1 Kurdish 4.11
2 Iranian 6.7
3 Armenian 10.75
4 Georgian 11.83
5 Georgian_Jewish 12.44
6 Abhkasian 12.86
7 Azeri_Jewish 13.31
8 Turkish 14.49
9 Kumyk 14.6
10 Adygei 15.15
11 Assyrian 15.66
12 Balkar 17.41
13 North_Ossetian 17.6
14 Turkmen 18.88
15 Lezgin 19.41
16 Chechen 19.6
17 Lebanese_Muslim 23.17
18 Makrani 23.76
19 Syrian 24.01
20 Afghan_Tadjik 25.4

MfA
11-24-2013, 01:09 AM
Europe, North Africa, West Asia MDS plot:
http://abload.de/img/k13_mfa_waeuna_fixed2ykst3.png

Humanist
11-24-2013, 01:43 AM
David, if you come by this post, and if you decide to include eastern Mizrahim in a future run (or runs), can you do me a favor and consider dropping the Azeri Jews and Georgian Jews? Iraqi Jews and Iranian Jews are better choices, in my opinion. That is, if you can find enough of them without excessive IBD sharing. I think that may have been a problem with the Iraqi Jews, but I may be mistaken.

The below Assyrian-Jewish MDS is from the project you and I worked on three years ago:

http://i1096.photobucket.com/albums/g326/dok101/Faces/Assyrian_Jewish_MDS.jpg

MfA
11-24-2013, 01:53 AM
Can you post their admixture?
Sure;

Northern Kurd(Kurmanji)
41.03 West_Asian
30.49 East_Med
8.30 South_Asian
5.81 Baltic
5.09 West_Med
4.58 Red_Sea
2.94 North_Atlantic
1.76 Siberian

Central Kurd(Sorani)
38.55 West_Asian
30.06 East_Med
10.26 South_Asian
7.20 West_Med
4.36 Red_Sea
3.68 Baltic
2.86 North_Atlantic
1.97 Amerindian
1.06 Siberian

Southeastern Kurd(Feyli)
44.88 West_Asian
28.35 East_Med
9.23 South_Asian
6.85 West_Med
5.64 Red_Sea
2.56 North_Atlantic
2.49 Baltic

Dr_McNinja
11-24-2013, 02:42 AM
The updated Oracle results of my phased paternal kit:


Single Population Sharing:

# Population (source) Distance
1 Brahmin_UP 10.66
2 Punjabi_Jat 11.98
3 Gujarati 12.38
4 Kshatriya 12.69
5 Sindhi 13.94
6 Pathan 14.61
7 Bangladeshi 15.51
8 Burusho 15.64
9 Dharkar 19.11
10 Kalash 20.27
11 Kanjar 20.51
12 Uttar_Pradesh 22.73
13 Velamas 23.14
14 Kurumba 23.62
15 Afghan_Pashtun 24.22
16 Kol 24.38
17 Dusadh 25
18 North_Kannadi 25.83
19 Chenchu 26.31
20 Piramalai 28.07

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 61.2% Dharkar + 38.8% Tadjik @ 6.1
2 76.5% Brahmin_UP + 23.5% Afghan_Tadjik @ 6.19
3 54.1% Dusadh + 45.9% Tadjik @ 6.2
4 79.6% Kshatriya + 20.4% Nogay @ 6.22
5 54.8% Kol + 45.2% Tadjik @ 6.27
6 71.9% Kshatriya + 28.1% Afghan_Tadjik @ 6.29
7 59.4% Kanjar + 40.6% Tadjik @ 6.31
8 55.7% Kurumba + 44.3% Tadjik @ 6.33
9 72.2% Kshatriya + 27.8% Tadjik @ 6.35
10 51.7% Uttar_Pradesh + 48.3% Afghan_Pashtun @ 6.38
11 51.1% Piramalai + 48.9% Tadjik @ 6.41
12 56.7% Uttar_Pradesh + 43.3% Tadjik @ 6.48
13 56.3% Afghan_Pashtun + 43.7% Chamar @ 6.52
14 50.2% Afghan_Pashtun + 49.8% Kol @ 6.55
15 81.3% Brahmin_UP + 18.7% Turkmen @ 6.55
16 52.2% Afghan_Pashtun + 47.8% Chenchu @ 6.59
17 83.7% Brahmin_UP + 16.3% Nogay @ 6.6
18 51.2% Tadjik + 48.8% Sakilli @ 6.6
19 56.5% Dharkar + 43.5% Afghan_Pashtun @ 6.65
20 53.3% North_Kannadi + 46.7% Tadjik @ 6.66


Using 1 population approximation:
1 Brahmin_UP @ 11.093
2 Gujarati @ 13.002
3 Punjabi_Jat @ 13.042
4 Kshatriya @ 13.465
5 Sindhi @ 15.526
6 Pathan @ 16.362
7 Bangladeshi @ 16.479
8 Burusho @ 17.392
9 Dharkar @ 20.978
10 Kanjar @ 22.552
179 iterations.



Using 2 populations approximation:
1 50% Piramalai +50% Tadjik @ 6.290
2 50% Afghan_Pashtun +50% Uttar_Pradesh @ 6.295
3 50% Afghan_Pashtun +50% Kol @ 6.382
4 50% Afghan_Pashtun +50% Chenchu @ 6.537
5 50% Sakilli +50% Tadjik @ 6.555
6 50% Dusadh +50% Tadjik @ 6.571
7 50% Kol +50% Tadjik @ 6.713
8 50% Chamar +50% Tadjik @ 6.762
9 50% Afghan_Pashtun +50% North_Kannadi @ 6.847
10 50% Afghan_Pashtun +50% Dusadh @ 6.902
16110 iterations.



Using 3 populations approximation:
1 50% Kurumba +25% Nogay +25% Punjabi_Jat @ 5.753
2 50% Brahmin_UP +25% Afghan_Tadjik +25% Dharkar @ 5.792
3 50% Brahmin_UP +25% Afghan_Tadjik +25% Kshatriya @ 5.820
4 50% Dharkar +25% Punjabi_Jat +25% Tadjik @ 5.847
5 50% Kshatriya +25% Afghan_Tadjik +25% Brahmin_UP @ 5.856
6 50% Uttar_Pradesh +25% Kalash +25% Tadjik @ 5.857
7 50% Brahmin_UP +25% Kurumba +25% Nogay @ 5.884
8 50% Brahmin_UP +25% Balkar +25% Sakilli @ 5.898
9 50% Kol +25% Afghan_Pashtun +25% Tadjik @ 5.911
10 50% Dusadh +25% Nogay +25% Punjabi_Jat @ 5.926
310500 iterations.



Using 4 populations approximation:
1 Brahmin_UP + Gujarati + Kurumba + Nogay @ 5.715
2 Kol + Kurumba + Nogay + Punjabi_Jat @ 5.735
3 Kurumba + Kurumba + Nogay + Punjabi_Jat @ 5.753
4 Dusadh + Kurumba + Nogay + Punjabi_Jat @ 5.759
5 Brahmin_UP + Kshatriya + Kurumba + Nogay @ 5.773
6 Afghan_Tadjik + Brahmin_UP + Punjabi_Jat + Sakilli @ 5.778
7 Afghan_Tadjik + Brahmin_UP + Chenchu + Punjabi_Jat @ 5.781
8 Afghan_Tadjik + Brahmin_UP + Brahmin_UP + Dharkar @ 5.792
9 Afghan_Tadjik + Brahmin_UP + Dusadh + Punjabi_Jat @ 5.804
10 Afghan_Tadjik + Brahmin_UP + Kol + Punjabi_Jat @ 5.806
11 Chenchu + Kshatriya + Punjabi_Jat + Tadjik @ 5.815
12 Afghan_Tadjik + Brahmin_UP + Brahmin_UP + Kshatriya @ 5.820
13 Chenchu + Kalash + Tadjik + Uttar_Pradesh @ 5.822
14 Afghan_Tadjik + Brahmin_UP + Chamar + Punjabi_Jat @ 5.830
15 Kurumba + Nogay + Piramalai + Punjabi_Jat @ 5.839
16 Brahmin_UP + Dusadh + Gujarati + Nogay @ 5.840
17 Afghan_Pashtun + Kol + Sakilli + Tadjik @ 5.841
18 Dharkar + Dharkar + Punjabi_Jat + Tadjik @ 5.847
19 Brahmin_UP + Chenchu + Sindhi + Tadjik @ 5.848
20 Brahmin_UP + Chenchu + Punjabi_Jat + Tadjik @ 5.850

697678 iterations.Lot of Afghan Tajik turning up for some reason.

Scarlet Ibis
11-25-2013, 10:46 PM
I see the K13 has been updated on gedmatch. :dance:


Admix Results (sorted):

# Population Percent
1 East_Asian 34.18
2 North_Atlantic 26.49
3 Siberian 17.87
4 Baltic 12.26
5 West_Med 8.14
6 West_Asian 1.06


--------------------------------

Least-squares method.

Using 1 population approximation:
1 Uygur @ 31.498
2 Kazakh @ 31.980
3 Kirgiz @ 33.915
4 Hazara @ 37.866
5 Uzbeki @ 37.875
6 Aghan_Hazara @ 38.235
7 Afghan_Turkmen @ 39.882
8 Mongolian @ 40.446
9 Shors @ 40.803
10 Hakas @ 41.438
179 iterations.



Using 2 populations approximation:
1 50% Japanese +50% Orcadian @ 3.517
2 50% Japanese +50% Southwest_English @ 3.525
3 50% Japanese +50% West_Scottish @ 3.769
4 50% Irish +50% Japanese @ 4.001
5 50% Japanese +50% Southeast_English @ 4.229
6 50% Danish +50% Japanese @ 4.232
7 50% Dutch +50% Japanese @ 4.663
8 50% Japanese +50% Norwegian @ 5.102
9 50% Orcadian +50% Tu @ 5.751
10 50% Naxi +50% Orcadian @ 5.913
16110 iterations.



Using 3 populations approximation:
1 50% Japanese +25% Orcadian +25% Southwest_English @ 3.397
2 50% Japanese +25% Orcadian +25% Orcadian @ 3.517
3 50% Orcadian +25% Japanese +25% Japanese @ 3.517
4 50% Japanese +25% Southwest_English +25% Southwest_English @ 3.525
5 50% Southwest_English +25% Japanese +25% Japanese @ 3.525
6 50% Japanese +25% Southwest_English +25% West_Scottish @ 3.537
7 50% Japanese +25% Orcadian +25% West_Scottish @ 3.589
8 50% Japanese +25% Irish +25% Southwest_English @ 3.639
9 50% Japanese +25% Norwegian +25% Southwest_English @ 3.678
10 50% Japanese +25% Danish +25% Southwest_English @ 3.687
698400 iterations.



Using 4 populations approximation:
1 Japanese + Japanese + Orcadian + Southwest_English @ 3.397
2 Japanese + Japanese + Orcadian + Orcadian @ 3.517
3 Japanese + Japanese + Southwest_English + Southwest_English @ 3.525
4 Japanese + Japanese + Southwest_English + West_Scottish @ 3.537
5 Japanese + Japanese + Orcadian + West_Scottish @ 3.589
6 Irish + Japanese + Japanese + Southwest_English @ 3.639
7 Japanese + Japanese + Norwegian + Southwest_English @ 3.678
8 Danish + Japanese + Japanese + Southwest_English @ 3.687
9 Irish + Japanese + Japanese + Orcadian @ 3.721
10 Japanese + Japanese + West_Scottish + West_Scottish @ 3.769
11 Japanese + Japanese + Orcadian + Southeast_English @ 3.793
12 Japanese + Japanese + Southeast_English + Southwest_English @ 3.798
13 Japanese + Japanese + Southeast_English + West_Scottish @ 3.819
14 Dutch + Japanese + Japanese + Southwest_English @ 3.827
15 Danish + Japanese + Japanese + Orcadian @ 3.856
16 Irish + Japanese + Japanese + West_Scottish @ 3.868
17 Danish + Japanese + Japanese + West_Scottish @ 3.919
18 Irish + Japanese + Japanese + Southeast_English @ 3.932
19 Dutch + Japanese + Japanese + West_Scottish @ 3.962
20 Irish + Irish + Japanese + Japanese @ 4.001

Humanist
11-30-2013, 07:54 PM
If I am not mistaken, map coordinates derived from Eurogenes data would often place Sicilians and S Italians in the neighborhood of Greece. Came across this study (on Y-DNA) that suggests a significant Greek contribution to the genomes of modern Sicilians/S Italians.

Differential Greek and northern African migrations to Sicily are supported by genetic evidence from the Y chromosome (http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2985948/)

Di Gaetano et al.
2009


These data are compatible with the hypothesis that the largest historical demographic impact on Sicilian population was by the Greek settlers. A non-trivial question to raise for making this interpretation more plausible is whether the Greek colonies were of such size to lead to the diffusion of their genes. Because of the privileged position of Greece as ‘the door' from the Near East to the Mediterranean, by the end of the Bronze Age the average density of the population was higher in Greece than in Europe by a factor of 3:3.7 inhabitants per square kilometre.34 Between 1000 and 400 , the population doubled in Europe, increasing from 10 to 20 million. In the same period the population trebled in Greece, reaching a total of 3 million. Around 400 Italy, the second most densely populated country in Europe after Greece, had about 4 million people.34 The Greek colonies of Sicily alone accounted for 1.5 million people, of which more than 10% (about 200 000) were of Greek origin.34, 35 To these Greek inhabitants of Sicily may be added at least another 100 000 Greek colonizers in southern Italy, so that before the Roman period, one in every 10–13 inhabitants in southern Italy was Greek.35 Admittedly these estimates must be taken with caution; however, their order of magnitude does not contradict the hypothesis of a possible introduction of Y lineages associated with Greek migration in ESI and in southern Italy.

ZephyrousMandaru
11-30-2013, 09:07 PM
David, if you come by this post, and if you decide to include eastern Mizrahim in a future run (or runs), can you do me a favor and consider dropping the Azeri Jews and Georgian Jews? Iraqi Jews and Iranian Jews are better choices, in my opinion. That is, if you can find enough of them without excessive IBD sharing. I think that may have been a problem with the Iraqi Jews, but I may be mistaken.

The below Assyrian-Jewish MDS is from the project you and I worked on three years ago:

http://i1096.photobucket.com/albums/g326/dok101/Faces/Assyrian_Jewish_MDS.jpg

Just out of curiosity Humanist, why exclude Georgian Jews and Azerbaijani Jews?

Humanist
11-30-2013, 09:21 PM
Just out of curiosity Humanist, why exclude Georgian Jews and Azerbaijani Jews?

The Azeri Jews may be some sort of (relatively recent ?) hybrid population, and one of the four Georgian Jews appears to be significantly different from the others.

ZephyrousMandaru
12-01-2013, 12:06 AM
The Azeri Jews may be some sort of (relatively recent ?) hybrid population, and one of the four Georgian Jews appears to be significantly different from the others.

Really? I had no idea, then again, I'm still wondering how Uzbek Jews and Azeri Jews are close to us. Iraqi and Iranian Jews make more geographical sense than those two populations. Same with Georgian Jews, could Georgian Jews be like the Mountain Jews, who are originally from Iran? Also, are you referring to the Georgian Jew that's plotting with the Levantines?

http://img.ctrlv.in/img/527c0b4574f43.png

Humanist
12-01-2013, 12:32 AM
Really? I had no idea, then again, I'm still wondering how Uzbek Jews and Azeri Jews are close to us. Iraqi and Iranian Jews make more geographical sense than those two populations. Same with Georgian Jews, could Georgian Jews be like the Mountain Jews, who are originally from Iran? Also, are you referring to the Georgian Jew that's plotting with the Levantines?

The Georgian Jew, in the image you quoted in your second to last post, out in no-man's land. He appears to have significantly more Arabian (?) than the other Georgian Jews.

All of the eastern Mizrahim, excluding the Indian Jewish groups, may have a Mesopotamian origin. Many people forget (or simply do not know) that Babylon, and Mesopotamia in general was arguably the most important Jewish center in the world for parts of the 1st millennium BCE and CE

Wikipedia


Asōrestān was the name of the Sasanian provinces of Assyria and Babylonia [226 CE–637 CE], although the name Asorestan technically meant only Assyria which was in fact just to the north of Babylonia.[1][2]

Asōrestān was largely identical with ancient Mesopotamia.[1] The borders were, in the west, the Euphrates and, in the east, a strip of land east of the Tigris.[1] The northern border probably went along a line from Harran to the Hakkari mountains.[1]

Asorestan was the capital province of the Sasanian Empire and was called Del-e Īrānshahr (lit. "The Heart of Iran") in Persian.[2] The city of Ctesiphon served as the capital of both the Parthian and Sasanian empires, and was at this time the largest city in the world.[3] The main language spoken was Eastern Aramaic, with the Syriac dialect becoming an important vehicle for Christianity.[4]

Between 633 and 638 AD, the region was invaded by the Arabs, and annexed by the Islamic Rashidun Caliphate and together with Mayshan became the province of al-'Irāq. A century later, the area became the capital province of the Abbasid Caliphate and the centre of Islamic civilization for five hundred years; from the 8th to the 13th centuries.

....

Judaism
Babylonia remained the center of Judaism in the world. The major book defining Rabbinic Judaism, the Babylonian Talmud, was written in Jewish Babylonian Aramaic in Asorestan between the 3rd and 5th centuries. The Babylonian Talmudic academies were all established relatively near to Seleucia-Ctesiphon. The first Talmudic academy was founded in Sura by Rav (175–247) in about 220. One of the most influential Talmudic teachers, Rava (270–350), who was influenced by both Manichaean polemic and Zoroastrian theology, studied in another Talmudic academy at Pumbedita.

....

Christianity
Asorestan, and particularly Assyria proper, were the centers for the Church of the East (now the Assyrian Church of the East), which at times (partially due to the vast areas the Sasanian empire covered) was the most widespread Christian church in the world, reaching well into Central Asia, China and India. It sees as its founders the apostle Thomas (Mar Toma), and Saint Thaddeus (Mar Addai), and uses the distinctly Assyrian Syriac version of Aramaic for its scriptures. One of the central scriptures of the Church of the East, the Holy Qurbana of Addai and Mari, is one of the oldest Eucharistic prayers in the Christianity, composed around the year 200 AD. The Church of the East went through major consolidation and expansion in 410 during the Council of Seleucia-Ctesiphon, held at the Sasanian capital (in Asorestan). Selucia-Ctesiphon remained a location of the Patriarchate of the Church of the East for over 600 years.

....

Mandaeism
The Mandaean religion, whose adherents according to their traditions are the original followers of John the Baptist, and who are considered to be the only surviving Gnostic group in the world, also originated in the region at this time (or slightly earlier during the Parthian era). Their language and script was the Mandaic form of Aramaic. Two of their central works, both written within the 2nd and 3rd centuries, are the Ginza Rabba and the Mandaean Book of John (preserving original traditions about John the Baptist).

ZephyrousMandaru
12-01-2013, 02:01 AM
The Georgian Jew, in the image you quoted in your second to last post, out in no-man's land. He appears to have significantly more Arabian (?) than the other Georgian Jews.

All of the eastern Mizrahim, excluding the Indian Jewish groups, may have a Mesopotamian origin. Many people forget (or simply do not know) that Babylon, and Mesopotamia in general was arguably the most important Jewish center in the world for parts of the 1st millennium BCE and CE

Wikipedia



That seems to be the most parsimonious explanation as to why even geographically disparate populations, such as the Uzbek Jews are clustering with us along with the Mandaeans. What did you mean, when you said that Azeri Jews may be a hybrid population?

Humanist
12-01-2013, 02:13 AM
That seems to be the most parsimonious explanation as to why even geographically disparate populations, such as the Uzbek Jews are clustering with us along with the Mandaeans. What did you mean, when you said that Azeri Jews may be a hybrid population?

Certainly. Let us see how long it will take the academic community to catch up. Three years and counting.

ZephyrousMandaru
12-01-2013, 02:40 AM
Certainly. Let us see how long it will take the academic community to catch up. Three years and counting.

By the way Humanist, ABF is back. All passwords for every user account has been reset, so you'll need a new one.

http://www.forumbiodiversity.com/login.php?do=login

Telfermagne
12-01-2013, 07:48 PM
My best fit for the K13 Oracle-4 was: 50% Irish + 25% German + 25% Southwestern French at 1.804

This is the tightest GD I've gotten yet out of an Oracle run, usually it's in between 3 & 5 for my best fits.

Least-squares method.

Using 1 population approximation:
1 Southeast_English @ 4.818
2 Southwest_English @ 5.265
3 Dutch @ 6.882
4 Orcadian @ 6.905
5 German @ 7.180
6 Irish @ 7.716
7 Danish @ 8.012
8 West_Scottish @ 8.049
9 French @ 9.940
10 Norwegian @ 11.587
179 iterations.



Using 2 populations approximation:
1 50% French +50% Irish @ 3.352
2 50% French +50% West_Scottish @ 3.564
3 50% French +50% Orcadian @ 3.656
4 50% French +50% Southwest_English @ 3.949
5 50% Danish +50% French @ 4.285
6 50% Dutch +50% French @ 4.434
7 50% German +50% Southwest_English @ 4.445
8 50% French +50% Southeast_English @ 4.528
9 50% French +50% Norwegian @ 4.596
10 50% Norwegian +50% Spanish_Cataluna @ 4.630
16110 iterations.



Using 3 populations approximation:
1 50% Irish +25% German +25% Southwest_French @ 1.804
2 50% German +25% French_Basque +25% Swedish @ 1.985
3 50% German +25% French_Basque +25% Norwegian @ 2.028
4 50% West_Scottish +25% German +25% Southwest_French @ 2.052
5 50% Irish +25% German +25% Spanish_Cantabria @ 2.119
6 50% German +25% Dutch +25% French_Basque @ 2.189
7 50% Orcadian +25% German +25% Southwest_French @ 2.234
8 50% Irish +25% Austrian +25% French_Basque @ 2.248
9 50% Irish +25% Dutch +25% Southwest_French @ 2.271
10 50% Irish +25% French_Basque +25% Hungarian @ 2.284
436001 iterations.



Using 4 populations approximation:
1 German + Irish + Irish + Southwest_French @ 1.804
2 German + Irish + Southwest_French + West_Scottish @ 1.895
3 German + Irish + Orcadian + Southwest_French @ 1.945
4 French_Basque + German + German + Swedish @ 1.985
5 German + Irish + Southwest_English + Southwest_French @ 1.996
6 French_Basque + German + German + Norwegian @ 2.028
7 German + Irish + Southeast_English + Southwest_French @ 2.043
8 German + Orcadian + Southwest_French + West_Scottish @ 2.049
9 German + Southwest_French + West_Scottish + West_Scottish @ 2.052
10 Dutch + Irish + Southeast_English + Southwest_French @ 2.117
11 German + Irish + Irish + Spanish_Cantabria @ 2.119
12 German + Southwest_English + Southwest_French + West_Scottish @ 2.152
13 Danish + German + Irish + Southwest_French @ 2.161
14 German + Southeast_English + Southwest_French + West_Scottish @ 2.164
15 Dutch + French_Basque + German + German @ 2.189
16 German + Irish + Orcadian + Spanish_Cantabria @ 2.222
17 German + Irish + Spanish_Cantabria + West_Scottish @ 2.222
18 Dutch + German + Southwest_French + West_Scottish @ 2.223
19 German + Orcadian + Southwest_English + Southwest_French @ 2.228
20 German + Orcadian + Orcadian + Southwest_French @ 2.234

2214833 iterations.

Done.

Elapsed time 1.5592 seconds.

Humanist
12-01-2013, 08:08 PM
My Jtest results:

# Population Percent
1 EAST_MED 38.2
2 WEST_ASIAN 29.32
3 MIDDLE_EASTERN 13.64
4 WEST_MED 5.87
5 SOUTH_ASIAN 3.97
6 ASHKENAZI 3.66
7 ATLANTIC 3.13
8 EAST_EURO 1.88
9 SOUTH_BALTIC 0.32

Single Population Sharing:

Semitic-speaking populations in red. Indo-European-speaking populations in blue. Caucasian-speaking populations in green.

# Population (source) Distance
1 Assyrian 4.13
2 Mandean 5.86
3 Armenian 7.63
4 Kurdish 9.63
5 TR 11.23
6 IR 11.93
7 IQ 13.83
8 Druze 19.01
9 Samaritan 20.34
10 GR 21.91
11 GE 22.62
12 South_Italian_&_Sicilian 23.76
13 Lezgin 27.59
14 Tuscan 34.49
15 Brahui 34.87
16 AJ 35.02
17 Balochi 35.72
18 RO 37.03
19 North_Italian 38.56
20 Serbian 38.78

ajaxknight
12-02-2013, 12:00 AM
# Population Percent
1 North_Sea 25.79
2 East_Med 16.59
3 Atlantic 15.74
4 West_Med 12.19
5 Baltic 8.59
6 West_Asian 8.10
7 Eastern_Euro 8.02
8 Red_Sea 2.70
9 Northeast_African 1.16
10 South_Asian 1.10


--------------------------------

Least-squares method.

Using 1 population approximation:
1 Serbian @ 11.736
2 Romanian @ 13.326
3 French @ 15.403
4 Bulgarian @ 15.752
5 North_Italian @ 15.812
6 Hungarian @ 16.306
7 Tuscan @ 16.339
8 Spanish_Galicia @ 17.282
9 Austrian @ 17.614
10 Portuguese @ 18.034
165 iterations.



Using 2 populations approximation:
1 50% Ashkenazi +50% Norwegian @ 4.342
2 50% Ashkenazi +50% Orcadian @ 4.741
3 50% Ashkenazi +50% Dutch @ 4.745
4 50% Ashkenazi +50% Swedish @ 4.924
5 50% Norwegian +50% Sephardic_Jewish @ 5.470
6 50% Sephardic_Jewish +50% Swedish @ 5.588
7 50% Ashkenazi +50% Danish @ 5.948
8 50% Ashkenazi +50% Southwest_English @ 6.228
9 50% Ashkenazi +50% Southeast_English @ 6.243
10 50% Ashkenazi +50% German @ 6.252
13695 iterations.



Using 3 populations approximation:
1 50% Norwegian +25% Lebanese_Christian +25% North_Italian @ 3.624
2 50% Norwegian +25% Lebanese_Druze +25% North_Italian @ 3.791
3 50% Norwegian +25% Lebanese_Christian +25% Tuscan @ 3.865
4 50% Swedish +25% Lebanese_Christian +25% North_Italian @ 3.867
5 50% Norwegian +25% Samaritan +25% Tuscan @ 3.901
6 50% Norwegian +25% Cyprian +25% Tuscan @ 3.941
7 50% Norwegian +25% North_Italian +25% Samaritan @ 3.981
8 50% Norwegian +25% Ashkenazi +25% Cyprian @ 3.982
9 50% Norwegian +25% Lebanese_Druze +25% Tuscan @ 4.047
10 50% Norwegian +25% Ashkenazi +25% Sephardic_Jewish @ 4.082
493866 iterations.



Using 4 populations approximation:
1 Lebanese_Christian + North_Italian + Norwegian + Norwegian @ 3.624
2 Lebanese_Christian + North_Italian + Norwegian + Swedish @ 3.678
3 Lebanese_Christian + North_Italian + North_Swedish + Norwegian @ 3.733
4 Lebanese_Druze + North_Italian + Norwegian + Norwegian @ 3.791
5 Lebanese_Christian + Norwegian + Norwegian + Tuscan @ 3.865
6 Lebanese_Christian + North_Italian + Swedish + Swedish @ 3.867
7 Lebanese_Druze + North_Italian + Norwegian + Swedish @ 3.883
8 Norwegian + Norwegian + Samaritan + Tuscan @ 3.901
9 Lebanese_Christian + North_Italian + North_Swedish + Swedish @ 3.940
10 Cyprian + Norwegian + Norwegian + Tuscan @ 3.941
11 Lebanese_Druze + North_Italian + North_Swedish + Norwegian @ 3.964
12 North_Italian + Norwegian + Norwegian + Samaritan @ 3.981
13 Ashkenazi + Cyprian + Norwegian + Norwegian @ 3.982
14 Cyprian + Norwegian + Swedish + Tuscan @ 3.996
15 North_Italian + Norwegian + Samaritan + Swedish @ 4.000
16 Lebanese_Christian + Norwegian + Swedish + Tuscan @ 4.038
17 Norwegian + Samaritan + Swedish + Tuscan @ 4.042
18 Lebanese_Druze + Norwegian + Norwegian + Tuscan @ 4.047
19 North_Italian + North_Swedish + Norwegian + Samaritan @ 4.063
20 Cyprian + North_Swedish + Norwegian + Tuscan @ 4.066

Telfermagne
12-04-2013, 02:04 AM
After looking back at various results, it seems that the best fit from my K13 Oracle-4 for Eurogenes resembles my best fit from the Dodecad V3 Oracle-4 results:

Dodecad: Argyll + Argyll + North_Italian + Swedish @ 1.682.
Eurogenes: German + Irish + Irish + Southwest_French @ 1.804

everest59
12-15-2013, 02:02 PM
Eurogenes K13:
Population
North_Atlantic 8.69%
Baltic 7.12%
West_Asian 28.80%
South_Asian 47.06%
East_Asian 4.40%
Siberian 2.11%
Amerindian 1.09%
Oceanian 0.72%

Oracle:

# Population (source) Distance
1 Punjabi_Jat 8.66
2 Brahmin_UP 9.59
3 Gujarati 11.32
4 Sindhi 12.34
5 Kshatriya 12.36
6 Pathan 12.99
7 Burusho 13.65
8 Bangladeshi 15.21
9 Kalash 17.87
10 Dharkar 19.8

Mixed Mode:
# Primary Population (source) Secondary Population (source) Distance
1 83.1% Punjabi_Jat + 16.9% Austroasiatic_Ho @ 3.28
2 65.2% Punjabi_Jat + 34.8% Bangladeshi @ 3.56
3 59.9% Brahmin_UP + 40.1% Burusho @ 3.98
4 76.6% Brahmin_UP + 23.4% Tadjik @ 4.24
5 76.8% Brahmin_UP + 23.2% Afghan_Tadjik @ 4.33
6 72.9% Gujarati + 27.1% Tadjik @ 4.42
7 72.5% Brahmin_UP + 27.5% Afghan_Pashtun @ 4.44
8 54.3% Bangladeshi + 45.7% Kalash @ 4.47
9 71% Kshatriya + 29% Tadjik @ 4.56
10 78.9% Punjabi_Jat + 21.1% Chenchu @ 4.85
11 80.9% Gujarati + 19.1% Nogay @ 4.86
12 84.8% Brahmin_UP + 15.2% North_Ossetian @ 4.89

DMXX
12-20-2013, 06:34 AM
My new Eurogenes K13 results shown below. Thank you Polako/Generalissimo for including the new South-Central Asian reference populations.



Admix Results (sorted):

# Population Percent
1 West_Asian 34.89
2 East_Med 29.40
3 South_Asian 10.49
4 Baltic 5.90
5 North_Atlantic 5.53
6 Red_Sea 5.02
7 West_Med 4.23
8 Siberian 1.75
9 East_Asian 1.65
10 Sub-Saharan 1.15




Single Population Sharing:

# Population (source) Distance
1 Iranian 5.36
2 Kurdish 6.53
3 Turkish 10.16
4 Azeri_Jewish 11.66
5 Georgian_Jewish 12.63
6 Armenian 13.02
7 Turkmen 13.82
8 Assyrian 14.07
9 Kumyk 14.54
10 Adygei 18.03
11 Georgian 19.04
12 Lebanese_Muslim 19.11
13 Balkar 19.29
14 Syrian 19.81
15 Lezgin 20.23
16 North_Ossetian 20.52
17 Abhkasian 20.53
18 Chechen 20.75
19 Afghan_Tadjik 22.23
20 Tadjik 22.87

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 92.6% Iranian + 7.4% Southeast_English @ 3.04
2 92.7% Iranian + 7.3% Danish @ 3.04
3 92.1% Iranian + 7.9% German @ 3.06
4 91.1% Iranian + 8.9% Austrian @ 3.07
5 92.8% Iranian + 7.2% Orcadian @ 3.08
6 92.9% Iranian + 7.1% North_Swedish @ 3.09
7 92.9% Iranian + 7.1% Norwegian @ 3.09
8 91.1% Iranian + 8.9% Hungarian @ 3.1
9 92.8% Iranian + 7.2% Swedish @ 3.1
10 92.6% Iranian + 7.4% Dutch @ 3.12
11 92.9% Iranian + 7.1% West_Scottish @ 3.15
12 90% Iranian + 10% Serbian @ 3.17
13 92.9% Iranian + 7.1% Southwest_English @ 3.17
14 92.9% Iranian + 7.1% Irish @ 3.17
15 91.8% Iranian + 8.2% French @ 3.19
16 89.1% Iranian + 10.9% Romanian @ 3.19
17 93.2% Iranian + 6.8% Southwest_Finnish @ 3.24
18 88.8% Iranian + 11.2% Bulgarian @ 3.26
19 92.1% Iranian + 7.9% Spanish_Cataluna @ 3.33
20 92.4% Iranian + 7.6% Polish @ 3.36




Using 2 populations approximation:
1 50% Iranian +50% Turkish @ 5.673
2 50% Afghan_Pashtun +50% Lebanese_Druze @ 5.800
3 50% Iranian +50% Iranian @ 5.901
4 50% Azeri_Jewish +50% Turkmen @ 6.107
5 50% Iranian +50% Kurdish @ 6.162
6 50% Georgian_Jewish +50% Turkmen @ 6.385
7 50% Iranian +50% Turkmen @ 6.722
8 50% Assyrian +50% Turkmen @ 6.771
9 50% Kurdish +50% Turkmen @ 7.032
10 50% Afghan_Pashtun +50% Lebanese_Christian @ 7.051
16110 iterations.




Using 3 populations approximation:
1 50% Kurdish +25% Afghan_Pashtun +25% Lebanese_Druze @ 2.779
2 50% Iranian +25% Afghan_Pashtun +25% Lebanese_Druze @ 3.006
3 50% Lebanese_Druze +25% Brahui +25% Lezgin @ 3.045
4 50% Iranian +25% Lebanese_Druze +25% Tadjik @ 3.060
5 50% Lebanese_Druze +25% Balochi +25% Lezgin @ 3.066
6 50% Kurdish +25% Lebanese_Druze +25% Tadjik @ 3.373
7 50% Lebanese_Druze +25% Brahui +25% Chechen @ 3.495
8 50% Lebanese_Druze +25% Balochi +25% Chechen @ 3.514
9 50% Lebanese_Druze +25% Lezgin +25% Makrani @ 3.546
10 50% Lebanese_Druze +25% Kalash +25% Lezgin @ 3.672
321097 iterations.




Using 4 populations approximation:
1 Afghan_Pashtun + Iranian + Kurdish + Lebanese_Druze @ 2.633
2 Afghan_Pashtun + Kurdish + Kurdish + Lebanese_Druze @ 2.779
3 Iranian + Kurdish + Lebanese_Druze + Tadjik @ 2.987
4 Afghan_Pashtun + Iranian + Iranian + Lebanese_Druze @ 3.006
5 Brahui + Lebanese_Druze + Lebanese_Druze + Lezgin @ 3.045
6 Iranian + Iranian + Lebanese_Druze + Tadjik @ 3.060
7 Balochi + Lebanese_Druze + Lebanese_Druze + Lezgin @ 3.066
8 Kurdish + Kurdish + Lebanese_Druze + Tadjik @ 3.373
9 Brahui + Chechen + Lebanese_Druze + Lebanese_Druze @ 3.495
10 Balochi + Chechen + Lebanese_Druze + Lebanese_Druze @ 3.514
11 Lebanese_Druze + Lebanese_Druze + Lezgin + Makrani @ 3.546
12 Kalash + Lebanese_Druze + Lebanese_Druze + Lezgin @ 3.672
13 Kalash + Lebanese_Druze + Lebanese_Druze + North_Ossetian @ 3.753
14 Azeri_Jewish + Azeri_Jewish + Iranian + Tadjik @ 3.761
15 Afghan_Pashtun + Assyrian + Lebanese_Druze + Lezgin @ 3.788
16 Afghan_Pashtun + Azeri_Jewish + Kumyk + Lebanese_Druze @ 3.802
17 Afghan_Tadjik + Iranian + Kurdish + Lebanese_Druze @ 3.815
18 Azeri_Jewish + Iranian + Iranian + Turkmen @ 3.829
19 Assyrian + Azeri_Jewish + Iranian + Tadjik @ 3.851
20 Afghan_Pashtun + Armenian + Iranian + Lebanese_Druze @ 3.867

Humanist
12-28-2013, 10:37 AM
The user Day Tripper posted this on another forum:


You folks can download a spreadsheet here that does the calculation: https://app.box.com/s/nr09lj4xbgivblr4tpm5

Just put your own K13 results beside the "You", and out come the EEF/WHG/ANE estimates below "Results". As an example, I got 47.6% EEF, 37.1% WHG, and 15.3% ANE.

My results:


99.44__EEF
-6.45__WHG
7.02___ANE

Anglecynn
12-28-2013, 11:04 AM
The user Day Tripper posted this on another forum:



My results:


99.4350064378__EEF
-6.4549097699__WHG
7.0199033321___ANE

Makes sense really. My grandfather is the least Neolithic and my mother the most. My grandmother and aunt are closest to the average.

Me:
EEF 50.74727444
WHG 34.53641099
ANE 14.71631456

Father:
EEF 48.71762975
WHG 36.31198132
ANE 14.97038893

Grandfather:
EEF 47.17876269
WHG 37.38628388
ANE 15.43495343

Grandmother:
EEF 49.18717416
WHG 35.99146358
ANE 14.82136226

Mother:
EEF 51.5446288
WHG 33.80660099
ANE 14.64877021

Aunt:
EEF 50.04961238
WHG 35.29891573
ANE 14.65147188

Stephen1986
12-29-2013, 12:27 AM
My latest K13 Oracle results. I think the West Scottish just represents the fact that most of my ancestry comes from around the shores of the Irish Sea, whilst the African is most likely a proxy for something -

Admix Results (sorted):

# Population Percent
1 North_Atlantic 54.18
2 Baltic 23.02
3 West_Med 12.28
4 West_Asian 5.36
5 Red_Sea 1.61
6 East_Med 1.22
7 Northeast_African 0.68
8 Oceanian 0.57
9 Sub-Saharan 0.43
10 Amerindian 0.27
11 South_Asian 0.25
12 Siberian 0.12

Single Population Sharing:

# Population (source) Distance
1 West_Scottish 1.81
2 Irish 2.59
3 Orcadian 3.6
4 Southwest_English 3.68
5 Danish 4.22
6 Southeast_English 5.23
7 Dutch 6.34
8 Norwegian 7.58
9 Swedish 9.22
10 German 9.25
11 French 15.19
12 North_Swedish 15.62
13 Austrian 20.81
14 Spanish_Cataluna 21.74
15 Hungarian 21.93
16 Southwest_French 22.44
17 Spanish_Castilla_Y_Leon 22.69
18 Spanish_Cantabria 22.9
19 Spanish_Galicia 23.2
20 Portuguese 23.57

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 99.7% West_Scottish + 0.3% Ethiopian_Gumuz @ 1.79
2 99.7% West_Scottish + 0.3% Maasai @ 1.79
3 99.7% West_Scottish + 0.3% Ethiopian_Ari_cultivator @ 1.79
4 99.7% West_Scottish + 0.3% Ethiopian_Anuak @ 1.79
5 99.7% West_Scottish + 0.3% Sudanese @ 1.79
6 99.7% West_Scottish + 0.3% Somali @ 1.79
7 99.7% West_Scottish + 0.3% Hadza @ 1.8
8 99.7% West_Scottish + 0.3% Ethiopian_Wolayta @ 1.8
9 99.7% West_Scottish + 0.3% Ethiopian_Oromo @ 1.8
10 99.8% West_Scottish + 0.2% San @ 1.8
11 99.8% West_Scottish + 0.2% Sandawe @ 1.8
12 99.8% West_Scottish + 0.2% Mbuti_Pygmy @ 1.8
13 99.4% West_Scottish + 0.6% French_Basque @ 1.8
14 99.8% West_Scottish + 0.2% Luhya @ 1.81
15 99.8% West_Scottish + 0.2% Ethiopian_Amhara @ 1.81
16 99.9% West_Scottish + 0.1% Bantu_N.E. @ 1.81
17 99.9% West_Scottish + 0.1% Biaka_Pygmy @ 1.81
18 99.8% West_Scottish + 0.2% Ethiopian_Tigray @ 1.81
19 99.9% West_Scottish + 0.1% Bantu_S.E. @ 1.81
20 99.9% West_Scottish + 0.1% Bantu_S.W. @ 1.81

And those of my brother -

Admix Results (sorted):

# Population Percent
1 North_Atlantic 51.22
2 Baltic 23.41
3 West_Med 11.36
4 West_Asian 5.43
5 East_Med 3.7
6 South_Asian 1.75
7 Red_Sea 1.29
8 Northeast_African 0.89
9 Oceanian 0.51
10 Amerindian 0.44

Single Population Sharing:

# Population (source) Distance
1 Danish 1.92
2 Orcadian 2.65
3 Irish 2.81
4 West_Scottish 2.86
5 Southeast_English 3.24
6 Southwest_English 3.93
7 Dutch 4.2
8 German 6.34
9 Norwegian 6.49
10 Swedish 7.92
11 French 13.16
12 North_Swedish 14.07
13 Austrian 17.77
14 Hungarian 18.94
15 Spanish_Cataluna 20.34
16 Spanish_Castilla_Y_Leon 21.37
17 Southwest_French 21.69
18 Spanish_Galicia 21.71
19 Portuguese 21.96
20 Spanish_Cantabria 22

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 98.6% Danish + 1.4% Ethiopian_Tigray @ 1.58
2 98.6% Danish + 1.4% Ethiopian_Amhara @ 1.58
3 96.7% West_Scottish + 3.3% Yemenite_Jewish @ 1.59
4 98.7% Danish + 1.3% Somali @ 1.61
5 98.3% Danish + 1.7% Egyptian @ 1.62
6 98.7% Danish + 1.3% Ethiopian_Oromo @ 1.62
7 98.1% Danish + 1.9% Moroccan @ 1.62
8 98.5% Danish + 1.5% Saudi @ 1.62
9 95.9% Danish + 4.1% Spanish_Extremadura @ 1.63
10 98.8% Danish + 1.2% Ethiopian_Wolayta @ 1.63
11 98.1% Danish + 1.9% Algerian @ 1.63
12 98.4% Danish + 1.6% Bedouin @ 1.63
13 98.4% Danish + 1.6% Jordanian @ 1.64
14 95.6% Danish + 4.4% Spanish_Castilla_Y_Leon @ 1.64
15 98.4% Danish + 1.6% Palestinian @ 1.64
16 95.9% Danish + 4.1% Spanish_Murcia @ 1.64
17 98.1% Danish + 1.9% Mozabite_Berber @ 1.64
18 95.9% Danish + 4.1% Spanish_Castilla_La_Mancha @ 1.65
19 95.7% Danish + 4.3% Portuguese @ 1.65
20 98% Danish + 2% Sephardic_Jewish @ 1.65

evon
02-18-2014, 01:33 PM
http://eurogenes.blogspot.com.au/2014/02/pca-of-four-ancient-genomes.html


PCA of four ancient genomes

I'm just testing and exploring these genomes at the moment using Principal Component Analysis (PCA).

The first plot features MA-1 or Mal'ta boy, the child from an Upper Paleolithic burial near Lake Baikal, South Siberia. This sample clusters near Uzbeks and Afghans in both PCs, but in fact lines up with Europeans and Amerindians in PC1, and thus falls within a cline that runs from Europe to the Americas. Hopefully that's not too confusing, because to me it actually makes good sense based on the formally published analyses of this genome to date.

But this doesn't necessarily mean that MA-1 is of mixed origin, because today's Europeans, Central Asians and Native Americans didn't come into existence until well after the Upper Paleolithic. Rather, what it suggests is that MA-1's close relatives mixed with the ancestors of many present-day Eurasians and Amerindians. The other results also turned out as expected, so the ancient individuals should be easy to spot for those who are familiar with them (click on the "world PCA" links below to download the PCA plots in PDF format).

Invisible Sun
02-19-2014, 02:50 PM
I noticed that Generalissimo used West and East Sicilian references on these ancient genomes PCAs, I wonder if there is any chance to see them on Eurogenes spreadsheets calculators too...

Regarding Ma-1, it would be interesting to see K15 proportions, in order to see if his Northeast Euro component leans more towards Baltic or Eastern Euro. Populations like Kalash, Burusho and Balochi seem to have more admix from the latter

https://docs.google.com/file/d/0B9o3EYTdM8lQaWJublVKOF9wWFE/edit?pli=1


And here are some results from Near East/ANE Excel Calculator, using K13 spreadsheet:

Population Brahui Balochi Afghan_Tadjik Tadjik Kalash Burusho
Near East 71,793 71,158 70,295 68,441 64,092 63,692
-----ANE 28,207 28,842 29,705 31,559 35,908 36,308

alan
02-19-2014, 05:30 PM
I would agree with that. The archaeological evidence for the cultures that Mal'ta and later Afontova Gora 2 belong to would point against admixture. In fact they were quite distinct from European cultures with no obvious shared roots until before 40000BC. On the other hand there is very good evidence that drift was very likely in Mal'ta as he lived in a period when other members of his culture had dropped to such low numbers that noone else of his culture is recorded within 2 or 3000 years of him. I certainly believe Mal'ta was probably a drifted example of the native south-central Siberian hunters but was not admixed. No other cultures were in the west Balkai area to admix with for a start for long before and after he lived.


http://eurogenes.blogspot.com.au/2014/02/pca-of-four-ancient-genomes.html

PCA of four ancient genomes

I'm just testing and exploring these genomes at the moment using Principal Component Analysis (PCA).

The first plot features MA-1 or Mal'ta boy, the child from an Upper Paleolithic burial near Lake Baikal, South Siberia. This sample clusters near Uzbeks and Afghans in both PCs, but in fact lines up with Europeans and Amerindians in PC1, and thus falls within a cline that runs from Europe to the Americas. Hopefully that's not too confusing, because to me it actually makes good sense based on the formally published analyses of this genome to date.

But this doesn't necessarily mean that MA-1 is of mixed origin, because today's Europeans, Central Asians and Native Americans didn't come into existence until well after the Upper Paleolithic. Rather, what it suggests is that MA-1's close relatives mixed with the ancestors of many present-day Eurasians and Amerindians. The other results also turned out as expected, so the ancient individuals should be easy to spot for those who are familiar with them (click on the "world PCA" links below to download the PCA plots in PDF format).

Invisible Sun
02-21-2014, 11:19 AM
For those who don´t read the blog comments, here is La Brana1 PCA...cannot wait for K-admixture proportions so that we can speculate about the genesis of certain components. F.e. if in both Eurogenes and MDLP K27 analysis MA-1/Ancient lacks specific Kalash component, and yet on PCA he clusters with Afghans or at least shifts towards Central Asian populations, is it wrong to assume that Kalash component is something too specific which came into existence clearly late, due to inbred or else? Regarding mesolithic sample I wanna see how Baltic and North Altlantic components interact...


https://docs.google.com/file/d/0B9o3EYTdM8lQWjNkNElGUzVzWFk/edit?pli=1

Invisible Sun
03-19-2014, 03:15 PM
I noticed that Generalissimo used West and East Sicilian references on these ancient genomes PCAs, I wonder if there is any chance to see them on Eurogenes spreadsheets calculators too...


http://bga101.blogspot.it/2014/03/updated-eurogenes-k13-population.html


Many Thanks Generalissimo! So far MDLP K27 was the only calculator that focused more on our hybrid Euro-MENA substructure ;) although I feared MDLP East-shift...

parasar
03-19-2014, 04:18 PM
For those who don´t read the blog comments, here is La Brana1 PCA...cannot wait for K-admixture proportions so that we can speculate about the genesis of certain components. F.e. if in both Eurogenes and MDLP K27 analysis MA-1/Ancient lacks specific Kalash component, and yet on PCA he clusters with Afghans or at least shifts towards Central Asian populations, is it wrong to assume that Kalash component is something too specific which came into existence clearly late, due to inbred or else? Regarding mesolithic sample I wanna see how Baltic and North Altlantic components interact...


https://docs.google.com/file/d/0B9o3EYTdM8lQWjNkNElGUzVzWFk/edit?pli=1

That would be the correct assumption as the Kalsash are too inbred and drifted.

La Brana's early ancestry looks to me to be from SE Asia and East Asia in line with his Y-C1.

MfA
03-20-2014, 01:53 PM
http://bga101.blogspot.it/2014/03/updated-eurogenes-k13-population.html


Many Thanks Generalissimo! So far MDLP K27 was the only calculator that focused more on our hybrid Euro-MENA substructure ;) although I feared MDLP East-shift...

Check MDS plot of West Eurasians
https://drive.google.com/file/d/0B6r2nbGXpVFnUVRqRlUyUmctdUk/edit?usp=sharing

MfA
03-20-2014, 06:30 PM
West-Central Eurasians MDS plot
https://drive.google.com/file/d/0B6r2nbGXpVFnbXRKSlpJcHVsZDA/edit?usp=sharing
http://abload.de/img/k13_wce_xl_w2j8h.png
kinda overlaps
http://ukrmap.su/program2009/g7/Maps/r_38_39.jpg

MfA
03-21-2014, 03:00 PM
Amerindians, East Asians and a Saami added
https://drive.google.com/file/d/0B6r2nbGXpVFnT3B2YWJ4Q09PcDg/edit?usp=sharing

http://www.abload.de/img/k13_eurasia_xlkau0v.png
looks like world view above the north pole
http://abload.de/img/desktop_2014_03_21_16luj6k.png
http://www.popphoto.com/files/_images/201206/earth.jpg

MfA
03-22-2014, 12:44 AM
K15 Eurasia MDS
https://drive.google.com/file/d/0B6r2nbGXpVFnUFdhQnd6MlZZdjg/edit?usp=sharing

http://abload.de/img/k15_eurasia_mds5dk8n.png

Invisible Sun
03-22-2014, 11:20 AM
Thanks MfA! I always wait for your maps :)
it is a pity that Gedmatch server is still down, isn´t it? Nevertheless the spreadsheets are very informative...looking at La Brana, I see a confirmation of my previous idea regarding Atlantic-Baltic alleles as HG, while West Asian is still missing (as it was in UP Mal´ta boy), and lacks in modern Sardinians and Basque. I think the genetic picture of those R1 males -loaded with East Euro and Central Asian autosomal dna- who overwhelmed continental Europe after neolithic is getting more and more limpid. And with a West Central Asian/Gedrosia component (like in the K=9 analysis but peaking in Balochi or Burusho rather than Kalash) would get further better, IMHO.

Shaikorth
03-22-2014, 12:35 PM
I think it's quite plausible that the old "genetic" Indo-Europeans influenced Southwestern Europe autosomally much less than in terms of paternal lineages.

The relatively balanced ratio of North Sea/Baltic/Atlantic in La Braña could well imply a secondary connection between La Braña and at least some southwestern populations, like the Basques, besides the more immediate Northeast European one.

Alpine Hominin
04-01-2014, 08:12 PM
My K13 results:

Admix Results (sorted):

# Population Percent
1 North_Atlantic 50.58
2 Baltic 22.61
3 West_Med 15.6
4 West_Asian 3.4
5 South_Asian 2.24
6 East_Med 1.28
7 Amerindian 1.03
8 Sub-Saharan 0.97
9 Red_Sea 0.91
10 Northeast_African 0.84
11 Siberian 0.55

Single Population Sharing:

# Population (source) Distance
1 Southwest_English 3.1
2 Orcadian 4.07
3 Southeast_English 4.29
4 West_Scottish 4.56
5 Irish 4.62
6 Danish 5.14
7 Dutch 5.62
8 German 8.03
9 Norwegian 8.26
10 Swedish 9.94
11 French 12.21
12 North_Swedish 15.58
13 Spanish_Cataluna 18.47
14 Southwest_French 18.65
15 Austrian 18.77
16 Spanish_Cantabria 19.31
17 Spanish_Castilla_Y_Leon 19.42
18 Spanish_Galicia 19.62
19 Hungarian 19.86
20 Portuguese 20.27

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 75% Norwegian + 25% French_Basque @ 2.37
2 88.2% Orcadian + 11.8% French_Basque @ 2.54
3 84.3% Danish + 15.7% French_Basque @ 2.65
4 97.9% Southwest_English + 2.1% West_Greenlander @ 2.69
5 98.3% Southwest_English + 1.7% East_Greenlander @ 2.74
6 98.6% Southwest_English + 1.4% North_Amerindian @ 2.74
7 98.5% Southwest_English + 1.5% San @ 2.75
8 98.6% Southwest_English + 1.4% Mbuti_Pygmy @ 2.76
9 98.3% Southwest_English + 1.7% Chamar @ 2.77
10 98.6% Southwest_English + 1.4% Bantu_N.E. @ 2.77
11 98.6% Southwest_English + 1.4% Luhya @ 2.77
12 98.5% Southwest_English + 1.5% Sudanese @ 2.77
13 98.3% Southwest_English + 1.7% Austroasiatic_Ho @ 2.78
14 98.8% Southwest_English + 1.2% Mayan @ 2.78
15 98.7% Southwest_English + 1.3% Biaka_Pygmy @ 2.78
16 98.6% Southwest_English + 1.4% Ethiopian_Anuak @ 2.79
17 98.8% Southwest_English + 1.2% Pima @ 2.79
18 83.6% West_Scottish + 16.4% Southwest_French @ 2.79
19 98.3% Southwest_English + 1.7% North_Kannadi @ 2.79
20 97.2% Southwest_English + 2.8% Mari @ 2.79

J Man
04-09-2014, 11:36 AM
Polako is now offering a service called Eurogenes Genetic Ancestry Detective and is charging $90 US for it and it seems quite good. I payed for it and I am now receiving some interesting results. He is not completely done my analysis yet but here is some of what he had said about my results when I asked him about them so far.

''You appear to have around 50% North Eurasian hunter-gatherer ancestry (that's WHG + ANE). So the rest is Neolithic farmer stuff, although that contains an unknown amount (probably over 10%) of WHG-like ancestry too. I can't estimate that now, but I'll try in the near future.

And yes, the Siberian segments are very real. They're ancient, and probably linked to the spread of Uralic languages into Northeastern Europe during the metal ages, but they are the reason you're sitting left of the red line.

In fact, if I took them out of your data (or masked them), this would shift you to the right across the line.''

http://bga101.blogspot.ca/2014/03/eurogenes-genetic-ancestry-detective.html

cyna
04-09-2014, 06:48 PM
@J Man. What did he give you as your best fit?

J Man
04-10-2014, 04:06 PM
@J Man. What did he give you as your best fit?

East Germany/Hungary. How about you?

Baltimore1937
04-10-2014, 10:23 PM
East Germany/Hungary. How about you?

I have a few HVR1 matches in Hungary/Czech/Slovakia/Poland. And my HVR1 is not common (U5b2b2), although most are from Britain, etc. So maybe yours and my maternal ancestresses moved up from NE Italy east of the Alps during the Mesolithic.

cyna
04-14-2014, 03:35 AM
Waiting on my results. How long did it take?

cyna
04-14-2014, 01:25 PM
Deleted Post.

cyna
04-15-2014, 01:11 AM
Davidski confirmed that the NW-Euro is, in fact, British, which is pulled east by the Asian, so it looked Scandinavian. Final admixture:

50.7% Sub-Saharan African (1% East African, the rest West-Central)

1.3 Native American (Ancestry came out with 1%, which the round, so consistent)

39.6% Euro (25% British, 14.6% Ashkenazi/Sephardi/Southern Euro)

8.4% South-East Asian

Invisible Sun
04-17-2014, 03:56 PM
K13 & K15 Spreadsheets updated on Gedmatch.
Good luck to everyone with new results, mine are still pretty the same (and obscure :P)

evon
04-17-2014, 10:10 PM
This set included West Norwegian, which i guess is my family's own cluster :) Also saw MA-1 and La Bana among our Oracle matches :)

Alpine Hominin
04-17-2014, 10:36 PM
My updated K13 results. Slight changes, just more predominance given to Western English than before.

Admix Results (sorted):

# Population Percent
1 North_Atlantic 50.58
2 Baltic 22.61
3 West_Med 15.6
4 West_Asian 3.4
5 South_Asian 2.24
6 East_Med 1.28
7 Amerindian 1.03
8 Sub-Saharan 0.97
9 Red_Sea 0.91
10 Northeast_African 0.84
11 Siberian 0.55

Single Population Sharing:

# Population (source) Distance
1 Southwest_English 3.1
2 Orcadian 4.07
3 Southeast_English 4.29
4 West_Scottish 4.56
5 Irish 4.62
6 North_Dutch 6.34
7 Danish 6.7
8 South_Dutch 7.94
9 Norwegian 7.97
10 North_German 8.26
11 West_German 9.62
12 Swedish 9.94
13 French 12.21
14 Austrian 15.09
15 East_German 15.23
16 North_Swedish 15.58
17 Spanish_Cataluna 18.47
18 Southwest_French 18.65
19 Spanish_Cantabria 19.31
20 Spanish_Castilla_Y_Leon 19.42

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 97% Southwest_English + 3% MA-1 @ 2.54
2 88.2% Orcadian + 11.8% French_Basque @ 2.54
3 97.9% Southwest_English + 2.1% West_Greenlander @ 2.69
4 76% Norwegian + 24% French_Basque @ 2.7
5 98.3% Southwest_English + 1.7% East_Greenlander @ 2.74
6 98.6% Southwest_English + 1.4% North_Amerindian @ 2.74
7 98.5% Southwest_English + 1.5% San @ 2.75
8 98.6% Southwest_English + 1.4% Mbuti_Pygmy @ 2.76
9 98.3% Southwest_English + 1.7% Chamar @ 2.77
10 98.6% Southwest_English + 1.4% Bantu_N.E. @ 2.77
11 98.6% Southwest_English + 1.4% Luhya @ 2.77
12 98.5% Southwest_English + 1.5% Sudanese @ 2.77
13 98.3% Southwest_English + 1.7% Austroasiatic_Ho @ 2.78
14 79.5% Danish + 20.5% French_Basque @ 2.78
15 98.8% Southwest_English + 1.2% Mayan @ 2.78
16 98.7% Southwest_English + 1.3% Biaka_Pygmy @ 2.78
17 98.6% Southwest_English + 1.4% Ethiopian_Anuak @ 2.79
18 98.8% Southwest_English + 1.2% Pima @ 2.79
19 83.6% West_Scottish + 16.4% Southwest_French @ 2.79
20 98.3% Southwest_English + 1.7% North_Kannadi @ 2.79


My K15 results point to high English components in single population sharing, but the oracle instead gives me mostly Irish/Scottish.

Admix Results (sorted):

# Population Percent
1 Atlantic 33.25
2 North_Sea 32.61
3 Baltic 10.7
4 West_Med 9.82
5 Eastern_Euro 6.9
6 West_Asian 2.16
7 South_Asian 1.64
8 Sub-Saharan 1.18
9 Amerindian 0.7
10 Northeast_African 0.62
11 Red_Sea 0.3
12 Siberian 0.12

Single Population Sharing:

# Population (source) Distance
1 Southeast_English 5.14
2 Irish 5.33
3 Southwest_English 5.41
4 West_Scottish 6.14
5 Orcadian 7.87
6 North_German 7.9
7 Danish 7.94
8 South_Dutch 7.97
9 North_Dutch 8.16
10 French 11.34
11 West_German 11.68
12 Norwegian 11.84
13 West_Norwegian 12.55
14 Swedish 12.9
15 East_German 14.5
16 North_Swedish 15.17
17 Spanish_Cataluna 16.78
18 Austrian 17.49
19 Spanish_Castilla_Y_Leon 17.72
20 Southwest_Finnish 17.9

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 82.8% Irish + 17.2% French_Basque @ 2.47
2 80.7% West_Scottish + 19.3% French_Basque @ 2.83
3 81.3% Irish + 18.7% Southwest_French @ 3.31
4 75.3% North_Dutch + 24.7% French_Basque @ 3.36
5 76% Danish + 24% French_Basque @ 3.44
6 83.1% Irish + 16.9% Spanish_Aragon @ 3.49
7 81.9% Irish + 18.1% Spanish_Cantabria @ 3.52
8 78.4% West_Scottish + 21.6% Southwest_French @ 3.58
9 86.2% Southeast_English + 13.8% French_Basque @ 3.63
10 83.6% Irish + 16.4% Spanish_Castilla_La_Mancha @ 3.69
11 83.9% Irish + 16.1% Spanish_Valencia @ 3.77
12 80.5% West_Scottish + 19.5% Spanish_Aragon @ 3.83
13 85.5% Irish + 14.5% Spanish_Andalucia @ 3.86
14 79.1% West_Scottish + 20.9% Spanish_Cantabria @ 3.89
15 76.8% Orcadian + 23.2% French_Basque @ 3.89
16 82.8% Irish + 17.2% Spanish_Castilla_Y_Leon @ 3.95
17 80.9% West_Scottish + 19.1% Spanish_Castilla_La_Mancha @ 4.06
18 82.5% Irish + 17.5% Spanish_Cataluna @ 4.07
19 65.6% West_Norwegian + 34.4% French_Basque @ 4.1
20 81.1% West_Scottish + 18.9% Spanish_Valencia @ 4.11

CelticGerman
04-17-2014, 11:29 PM
Great! Now the analysis meets my known ancestry, which is around 70% North German and Danish.

K15
# Population (source) Distance
1 North_German 3.53
2 Danish 5.61
3 North_Dutch 5.82
4 Southeast_English 6.13
5 Irish 6.18
6 Southwest_English 6.32
7 South_Dutch 6.46
8 West_Scottish 6.8
9 Norwegian 8.42
10 Orcadian 8.64
11 Swedish 8.81
12 East_German 8.86
13 West_German 9.09
14 West_Norwegian 10.11
15 North_Swedish 10.21
16 French 11.72
17 Southwest_Finnish 12.56
18 Austrian 13.17
19 Hungarian 14.21
20 Finnish 16.16

I consider Mecklenburg (36% of my known ancestry comes from this region) as part of Northern Germany and not Eastern Germany, for the region was peopled above all by North Germans, Dutch and Flemings in 12th/13th century. They mixed with Slavic tribes however.

West German should be interpreted as Rhineland and Palatinate, I presume. Hesse, maybe partly.

I have the impression there are no South German samples, but it should be close to Austrians.

The English in my results might be due to Anglosaxon and Jutish migration to England. They are closer to me than West and East Germans.

By the way, my four children came out with South Dutch on top. My wife is French with French on top. I wonder if South Dutch includes Belgian as well.

Anglecynn
04-18-2014, 01:05 AM
Here's mine, closest populations for K15. I bolded my actual population. It's 6th down on the list but only 1 distance point away from my closest match, so i think im just somewhere between all those close matches. Ill show K13 when gedmatch is back up again:

K15:
1 West_German 4.34
2 North_German 4.43
3 North_Dutch 4.65
4 Danish 4.91
5 South_Dutch 5.24
6 Southeast_English 5.29
7 Southwest_English 5.42
8 Irish 6.33
9 West_Scottish 6.62
10 Norwegian 6.79
11 Orcadian 7.4
12 Swedish 7.4
13 West_Norwegian 8.35
14 French 9.46
15 North_Swedish 9.72
16 East_German 10.03
17 Hungarian 13.79
18 Austrian 14
19 Southwest_Finnish 14.05
20 Finnish 16.99

CelticGerman
04-18-2014, 06:47 AM
New EUROGENES K15 - Results of my French father-in-law (ancestry in Burgundy and Rhône-Alpes):

# Population (source) Distance
1 French 3.82
2 Spanish_Cataluna 6.93
3 Spanish_Galicia 7.62
4 South_Dutch 7.99
5 Spanish_Castilla_Y_Leon 8.08
6 Portuguese 8.3
7 Spanish_Murcia 9.5
8 Spanish_Extremadura 9.62
9 Spanish_Cantabria 10.28
10 West_German 10.44
11 Southwest_English 10.46
12 Spanish_Valencia 11.26
13 Southwest_French 11.47
14 Spanish_Castilla_La_Mancha 11.55
15 Southeast_English 11.8
16 Spanish_Aragon 12.22
17 Spanish_Andalucia 12.96
18 North_Italian 13.45
19 North_German 13.64
20 Irish 13.72

Stephen1986
04-18-2014, 12:55 PM
Mine -
K13

North_Atlantic 54.18%
Baltic 23.02%
West_Med 12.28%
West_Asian 5.36%
East_Med 1.22%
Red_Sea 1.61%
Northeast_African 0.68%
Oceanian 0.57%
Sub-Saharan 0.43%
Amerindian 0.27%
South_Asian 0.25%
Siberian 0.12%

K15

North_Sea 36.34%
Atlantic 32.27%
Baltic 9.22%
Eastern_Euro 9.11%
West_Med 7.89%
West_Asian 3.15%
Red_Sea 0.92%
Northeast_African 0.53%
Sub-Saharan 0.33%
Oceanian 0.23%

My brother -
K13

North_Atlantic 51.22%
Baltic 23.41%
West_Med 11.36%
West_Asian 5.43%
East_Med 3.69%
South_Asian 1.75%
Red_Sea 1.29%
Northeast_African 0.89%
Oceanian 0.51%
Amerindian 0.44%

K15

North_Sea 35.57%
Atlantic 29.98%
Baltic 10.72%
Eastern_Euro 8.42%
West_Med 7.79%
West_Asian 3.00%
South_Asian 1.68%
East_Med 0.94%
Red_Sea 0.86%
Northeast_African 0.74%
Oceanian 0.30%

DMXX
04-18-2014, 02:24 PM
My results (V2 K15). Removing those scores with <1%.



# Population Percent
1 West_Asian 30.34
2 East_Med 30.28
3 South_Asian 11.52
4 Red_Sea 5.21
5 Eastern_Euro 5.09
6 North_Sea 4.92
7 Atlantic 3.81
8 Baltic 3.64
9 Siberian 1.66
10 West_Med 1.24
11 Southeast_Asian 1.14

MitchellSince1893
04-18-2014, 02:58 PM
I'm consistently coming out in the same general area whether using the Eurogenes Hunter-Gather, K13 or K15...near the Danish-German border.

Updated K13:
# Population (source) Distance
1 Danish 1.67
2 North_German 1.79
3 North_Dutch 2.25
4 Norwegian 3.47
5 Orcadian 4.4
6 Swedish 4.51
7 Irish 5.06
8 Southeast_English 5.35
9 West_Scottish 5.85
10 Southwest_English 7.03
11 South_Dutch 8.08
12 West_German 8.53
13 North_Swedish 10.38
14 East_German 11.52
15 Austrian 11.55
16 French 14.25
17 Hungarian 15.8
18 Southwest_Finnish 18.32
19 South_Polish 20.49
20 Croatian 21.09

Updated K15
1 North_German 2.34
2 Danish 4.37
3 North_Dutch 5.22
4 Irish 5.39
5 Southeast_English 5.85
6 West_Scottish 6.02
7 Southwest_English 6.95
8 South_Dutch 7.09
9 Norwegian 7.81
10 Swedish 8.01
11 Orcadian 8.42
12 North_Swedish 9.27
13 West_German 9.45
14 East_German 9.51
15 West_Norwegian 9.61
16 Southwest_Finnish 11.67
17 French 12.5
18 Austrian 13.15
19 Hungarian 14.31
20 Finnish 15.45


Eurogenes Hunter-Gatherer comes out at N54.794100°, E10.017000°. This is right on the Danish-German border, in Schleswig. 2.5 miles off the coast of the homeland of the Angles http://en.wikipedia.org/wiki/Angeln.

So while I'm a mix (see avatar), genetically I'm very similar to the Angles tribe?

Maybe this is indicative of East Anglia area of England, which would make a lot of sense in my case as many early settlers to colonial America were from this area and around 2/3rds of my ancestry came to America in the 1600s and 1700s.

I know it's a tangent to this tread, but this link has an interesting descriptions of the primary geographic origins of 4 waves of British immigration to colonial America in the 1600 and 1700s. http://freepages.family.rootsweb.ancestry.com/~eddunn/bracey/migrations.htm
1st wave (1629 - 1640) was primarily from East Anglia to New England
2nd wave (1641 - 1675) was primarily from 60 mile radius of London before 1650, and 60 mile radius around Bristol after 1650, both to Chesapeake Bay area.
3rd wave (1675 - 1715) were Quakers, primarily North Midlands area of England to Delaware, New Jersey, and Pennsylvania
4th wave (1715-1775) were English and Scottish borderers aka Ulster-Scots/Scotch-Irish to the "backcountry from Pennsylvania south through Maryland, Virginia, North and South Carolina, to Georgia"

Telfermagne
04-18-2014, 03:11 PM
My new Oracle-4 top fits:

K13
1 French_Basque + North_German + Norwegian + West_German @ 1.977

K15
1 Southwest_English + Southwest_English + Southwest_English + West_German @ 4.753

Anglecynn
04-18-2014, 05:38 PM
K13 makes me more southern, or k15 makes me more northern, but se English at roughly the same distance ranked at 4 or 5 each time and only 1 point or so from the closest population makes it pretty close.

Here's my oracle 4 for k15:
Using 1 population approximation:
1 North_German @ 5.001
2 North_Dutch @ 5.062
3 West_German @ 5.152
4 Danish @ 5.348
5 Southeast_English @ 5.897
6 Southwest_English @ 6.018
7 South_Dutch @ 6.159
8 Irish @ 7.092
9 West_Scottish @ 7.402
10 Norwegian @ 7.654
207 iterations.

Using 2 populations approximation:
1 50% Danish +50% West_German @ 1.723
2 50% North_Dutch +50% West_German @ 1.922
3 50% North_German +50% West_German @ 2.128
4 50% French +50% Swedish @ 2.301
5 50% Irish +50% West_German @ 2.416
6 50% South_Dutch +50% Swedish @ 2.447
7 50% Norwegian +50% South_Dutch @ 2.453
8 50% West_German +50% West_Scottish @ 2.560
9 50% Southeast_English +50% West_German @ 2.823
10 50% North_Dutch +50% South_Dutch @ 2.861
21528 iterations.

Using 3 populations approximation:
1 50% West_German +25% North_Dutch +25% North_German @ 1.564
2 50% West_German +25% Danish +25% North_German @ 1.577
3 50% West_German +25% North_German +25% West_Scottish @ 1.661
4 50% West_German +25% Danish +25% North_Dutch @ 1.716
5 50% West_German +25% Irish +25% North_German @ 1.717
6 50% Danish +25% West_German +25% West_German @ 1.723
7 50% West_German +25% Danish +25% Danish @ 1.723
8 50% North_Dutch +25% South_Dutch +25% West_German @ 1.730
9 50% Swedish +25% French +25% South_Dutch @ 1.771
10 50% West_German +25% Danish +25% Irish @ 1.818
672396 iterations.

Using 4 populations approximation:
1 Danish + French + Swedish + West_German @ 1.422
2 South_Dutch + Southeast_English + Swedish + West_German @ 1.555
3 North_Dutch + North_German + West_German + West_German @ 1.564
4 Danish + North_German + West_German + West_German @ 1.577
5 North_German + South_Dutch + West_German + West_Norwegian @ 1.611
6 French + North_Dutch + Swedish + West_German @ 1.625
7 Irish + South_Dutch + Swedish + West_German @ 1.630
8 Danish + South_Dutch + Swedish + West_German @ 1.630
9 North_German + West_German + West_German + West_Scottish @ 1.661
10 North_Dutch + South_Dutch + Swedish + West_German @ 1.663
11 South_Dutch + Swedish + West_German + West_Scottish @ 1.688
12 North_German + Norwegian + South_Dutch + West_German @ 1.698
13 French + Swedish + West_German + West_Scottish @ 1.709
14 Danish + North_Dutch + West_German + West_German @ 1.716
15 Irish + North_German + West_German + West_German @ 1.717
16 Danish + Danish + West_German + West_German @ 1.723
17 North_Dutch + North_Dutch + South_Dutch + West_German @ 1.730
18 French + Irish + Swedish + West_German @ 1.763
19 North_Dutch + Norwegian + South_Dutch + West_German @ 1.768
20 French + South_Dutch + Swedish + Swedish @ 1.771

Here's my oracle and oracle 4 for K13:
1 South_Dutch 3.73
2 West_German 3.79
3 North_German 4.88
4 Southeast_English 5.49
5 Danish 6.15
6 North_Dutch 6.23
7 Orcadian 6.87
8 Southwest_English 7.62
9 Irish 7.87
10 West_Scottish 8.37
11 Norwegian 8.48
12 Swedish 9
13 Austrian 9.04
14 French 9.46
15 East_German 10.13
16 North_Swedish 13.38
17 Hungarian 13.49
18 Spanish_Cataluna 17.35
19 Serbian 18.2
20 Spanish_Galicia 18.34

Using 1 population approximation:
1 South_Dutch @ 4.260
2 West_German @ 4.844
3 North_German @ 5.199
4 Southeast_English @ 5.761
5 Danish @ 6.444
6 North_Dutch @ 6.618
7 Orcadian @ 7.404
8 Southwest_English @ 8.289
9 Irish @ 8.618
10 Norwegian @ 9.165
204 iterations.

Using 2 populations approximation:
1 50% North_German +50% South_Dutch @ 1.973
2 50% Danish +50% West_German @ 2.177
3 50% North_Dutch +50% West_German @ 2.306
4 50% North_German +50% West_German @ 2.318
5 50% Danish +50% South_Dutch @ 2.516
6 50% French +50% Swedish @ 2.535
7 50% North_Dutch +50% South_Dutch @ 2.775
8 50% French +50% Norwegian @ 3.086
9 50% Southeast_English +50% West_German @ 3.130
10 50% Norwegian +50% West_German @ 3.166
20910 iterations.

Using 3 populations approximation:
1 50% North_German +25% French +25% North_German @ 1.913
2 50% Danish +25% Austrian +25% French @ 1.951
3 50% North_German +25% South_Dutch +25% South_Dutch @ 1.973
4 50% South_Dutch +25% North_German +25% North_German @ 1.973
5 50% West_Scottish +25% Serbian +25% Southeast_English @ 2.032
6 50% North_German +25% Danish +25% French @ 2.050
7 50% North_German +25% South_Dutch +25% West_German @ 2.058
8 50% Norwegian +25% Danish +25% North_Italian @ 2.069
9 50% West_German +25% Danish +25% North_German @ 2.076
10 50% North_German +25% French +25% Southeast_English @ 2.079
641565 iterations.

Using 4 populations approximation:
1 French + North_German + North_German + North_German @ 1.913
2 French + North_German + Norwegian + West_German @ 1.917
3 French + North_German + Swedish + West_German @ 1.931
4 Danish + Serbian + Southeast_English + West_Scottish @ 1.933
5 Danish + French + Swedish + West_German @ 1.934
6 Austrian + Danish + Danish + French @ 1.951
7 North_German + North_German + South_Dutch + South_Dutch @ 1.973
8 North_Dutch + Serbian + Southeast_English + West_Scottish @ 1.974
9 French + North_German + South_Dutch + Swedish @ 1.982
10 Danish + North_German + South_Dutch + West_German @ 1.985
11 Austrian + Danish + French + North_Dutch @ 1.987
12 Danish + North_Italian + Norwegian + Swedish @ 2.009
13 Danish + French + North_German + West_German @ 2.012
14 Danish + Serbian + Southwest_English + West_Scottish @ 2.025
15 Serbian + Southeast_English + West_Scottish + West_Scottish @ 2.032
16 North_Dutch + North_German + South_Dutch + West_German @ 2.049
17 Danish + French + North_German + North_German @ 2.050
18 North_German + North_German + South_Dutch + West_German @ 2.058
19 Danish + North_Italian + Norwegian + Norwegian @ 2.069
20 Danish + North_German + West_German + West_German @ 2.076

Hok
04-18-2014, 05:53 PM
Hmm the Eutest v2 results are interesting. I have (West)Norwegian&Swedish as my top 3, it could be due my high North Sea score i guess.


# Population (source) Distance
1 West_Norwegian 6.7
2 Norwegian 7.11
3 Swedish 8.68
4 Danish 8.81
5 North_Dutch 8.81
6 Orcadian 8.97
7 West_German 9.5
8 Southeast_English 10.41
9 North_Swedish 10.74
10 West_Scottish 10.78
11 Southwest_English 11.19
12 Irish 11.43
13 North_German 11.6
14 South_Dutch 12.69
15 French 15.37
16 East_German 16.12
17 Southwest_Finnish 18.26
18 Hungarian 19.31
19 Finnish 20.07
20 Austrian 21.22

Oracle 4

Least-squares method.

Using 1 population approximation:
1 West_Norwegian @ 7.597
2 Norwegian @ 8.254
3 Swedish @ 9.974
4 North_Dutch @ 10.289
5 Orcadian @ 10.460
6 Danish @ 10.632
7 West_German @ 11.143
8 Southwest_English @ 12.269
9 North_Swedish @ 12.626
10 Southeast_English @ 12.676
207 iterations.



Using 2 populations approximation:
1 50% West_German +50% West_Norwegian @ 6.857
2 50% West_Norwegian +50% West_Norwegian @ 7.597
3 50% Norwegian +50% West_Norwegian @ 7.771
4 50% Norwegian +50% West_German @ 7.829
5 50% Norwegian +50% Norwegian @ 8.254
6 50% Orcadian +50% West_Norwegian @ 8.343
7 50% Norwegian +50% Orcadian @ 8.480
8 50% North_Dutch +50% West_Norwegian @ 8.509
9 50% Swedish +50% West_Norwegian @ 8.511
10 50% Swedish +50% West_German @ 8.553
21528 iterations.



Using 3 populations approximation:
1 50% West_Norwegian +25% West_German +25% West_Norwegian @ 6.540
2 50% West_Norwegian +25% Norwegian +25% West_German @ 6.810
3 50% West_German +25% West_Norwegian +25% West_Norwegian @ 6.857
4 50% West_Norwegian +25% West_German +25% West_German @ 6.857
5 50% West_Norwegian +25% Orcadian +25% West_German @ 7.060
6 50% Norwegian +25% West_German +25% West_Norwegian @ 7.159
7 50% West_Norwegian +25% Swedish +25% West_German @ 7.173
8 50% West_German +25% Norwegian +25% West_Norwegian @ 7.316
9 50% West_Norwegian +25% North_Dutch +25% West_German @ 7.356
10 50% West_Norwegian +25% French +25% West_Norwegian @ 7.383
1558129 iterations.



Using 4 populations approximation:
1 West_German + West_Norwegian + West_Norwegian + West_Norwegian @ 6.540
2 Norwegian + West_German + West_Norwegian + West_Norwegian @ 6.810
3 West_German + West_German + West_Norwegian + West_Norwegian @ 6.857
4 Orcadian + West_German + West_Norwegian + West_Norwegian @ 7.060
5 Norwegian + Norwegian + West_German + West_Norwegian @ 7.159
6 Swedish + West_German + West_Norwegian + West_Norwegian @ 7.173
7 Norwegian + Orcadian + West_German + West_Norwegian @ 7.304
8 Norwegian + West_German + West_German + West_Norwegian @ 7.316
9 North_Dutch + West_German + West_Norwegian + West_Norwegian @ 7.356
10 French + West_Norwegian + West_Norwegian + West_Norwegian @ 7.383
11 Southwest_English + West_German + West_Norwegian + West_Norwegian @ 7.496
12 Danish + West_German + West_Norwegian + West_Norwegian @ 7.509
13 Norwegian + Swedish + West_German + West_Norwegian @ 7.531
14 North_Swedish + West_German + West_Norwegian + West_Norwegian @ 7.532
15 Orcadian + Swedish + West_German + West_Norwegian @ 7.552
16 Norwegian + Norwegian + Norwegian + West_German @ 7.576
17 West_Norwegian + West_Norwegian + West_Norwegian + West_Norwegian @ 7.597
18 Norwegian + Norwegian + Orcadian + West_German @ 7.624
19 Norwegian + West_Norwegian + West_Norwegian + West_Norwegian @ 7.644
20 Swedish + West_German + West_German + West_Norwegian @ 7.651

Ignis90
04-18-2014, 08:40 PM
The ADMIXTURE results per se are exactly the same. Here are my new Oracle results.

K15
Single Population Sharing:
# Population (source) Distance

1 Tunisian 6.19
2 Algerian 6.8
3 Mozabite_Berber 8.51
4 Moroccan 10.53

5 Egyptian 17.3

6 Algerian_Jewish 22.29
7 Libyan_Jewish 22.29
8 Tunisian_Jewish 22.88
9 Bedouin 23.03
10 Sephardic_Jewish 24.06
11 Italian_Jewish 24.17
12 Ashkenazi 24.67
13 West_Sicilian 25.03
14 Jordanian 25.16
15 East_Sicilian 25.4
16 South_Italian 26.68
17 Palestinian 26.85
18 Syrian 27.61
19 Central_Greek 27.72
20 Italian_Abruzzo 27.9

K13
Single Population Sharing:
# Population (source) Distance

1 Algerian 5.95
2 Tunisian 6.84
3 Mozabite_Berber 6.95
4 Moroccan 9.85

5 Egyptian 17.65

6 Libyan_Jewish 21.19
7 Tunisian_Jewish 22.2
8 Algerian_Jewish 22.24
9 Bedouin 23.49
10 Sephardic_Jewish 23.75
11 Italian_Jewish 24.29
12 Ashkenazi 24.8
13 West_Sicilian 25.18
14 East_Sicilian 25.27
15 Jordanian 25.76
16 South_Italian 26.29
17 Palestinian 26.5
18 Syrian 27.51
19 Central_Greek 27.72
20 Italian_Abruzzo 27.92

icebreaker
04-18-2014, 09:14 PM
K13
1 West_Asian 32.94
2 East_Med 28.16
3 West_Med 9.88
4 North_Atlantic 6.03
5 Baltic 5.44
6 South_Asian 5.07
7 Siberian 4.66
8 Red_Sea 4.19
9 East_Asian 2.60
10 Amerindian 1.03
--------------------------------
Using 1 population approximation:
1 Turkish @ 4.104
2 Azeri @ 4.798
3 Kurdish @ 10.494
4 Iranian @ 11.849
5 Armenian @ 12.318
6 Georgian_Jewish @ 12.749
7 Assyrian @ 14.407
8 Turkmen @ 14.864
9 Kumyk @ 15.581
10 Iranian_Jewish @ 17.447
204 iterations.

Using 2 populations approximation:
1 50% Azeri +50% Turkish @ 2.497
2 50% Turkish +50% Turkish @ 4.104
3 50% Kurdish +50% Turkish @ 4.724
4 50% Georgian_Jewish +50% Turkmen @ 4.796
5 50% Azeri +50% Azeri @ 4.798
6 50% Balkar +50% Lebanese_Muslim @ 4.835
7 50% Assyrian +50% Turkmen @ 4.876
8 50% Kumyk +50% Lebanese_Muslim @ 5.089
9 50% Armenian +50% Turkmen @ 5.104
10 50% Balkar +50% Lebanese_Druze @ 5.301

K15
1 East_Med 29.99
2 West_Asian 29.95
3 North_Sea 8.79
4 West_Med 6.48
5 Eastern_Euro 6.11
6 South_Asian 5.66
7 Siberian 4.31
8 Red_Sea 4.00
9 Southeast_Asian 2.09
10 Baltic 1.63
11 Amerindian 0.98
--------------------------------

Using 1 population approximation:
1 Azeri @ 8.955
2 Turkish @ 9.948
3 Kurdish @ 11.533
4 Iranian @ 12.288
5 Armenian @ 12.624
6 Georgian_Jewish @ 13.395
7 Assyrian @ 14.235
8 Turkmen @ 16.367
9 Iranian_Jewish @ 18.089
10 Kurdish_Jewish @ 18.549


Using 2 populations approximation:
1 50% Lebanese_Christian +50% Tabassaran @ 7.025
2 50% Lebanese_Druze +50% Tabassaran @ 7.192
3 50% Assyrian +50% Turkmen @ 7.216
4 50% Armenian +50% Turkmen @ 7.388
5 50% Samaritan +50% Tabassaran @ 7.477
6 50% Georgian_Jewish +50% Turkmen @ 7.723
7 50% Lebanese_Druze +50% Lezgin @ 7.911
8 50% Lebanese_Christian +50% Lezgin @ 7.990
9 50% Kumyk +50% Lebanese_Druze @ 8.051
10 50% Kurdish_Jewish +50% Turkmen @ 8.227

Invisible Sun
04-19-2014, 09:16 AM
Here are my K15 results. Still closer to Tuscans than Abruzzesi, funny.

Admix Results (sorted):

# Population Percent
1 East_Med 21.92
2 West_Med 21.83
3 Atlantic 18.10
4 West_Asian 14.15
5 North_Sea 11.82
6 Red_Sea 5.64
7 Baltic 4.05
8 Northeast_African 1.33
9 Eastern_Euro 1.16


--------------------------------

Least-squares method.

Using 1 population approximation:
1 Tuscan @ 6.584
2 Italian_Abruzzo @ 7.225
3 West_Sicilian @ 7.906
4 East_Sicilian @ 9.022
5 Central_Greek @ 9.671
6 South_Italian @ 10.426
7 Greek @ 11.997
8 Greek_Thessaly @ 12.186
9 Ashkenazi @ 12.749
10 North_Italian @ 13.053
207 iterations.



Using 2 populations approximation:
1 50% Cyprian +50% Spanish_Cantabria @ 4.852
2 50% North_Italian +50% South_Italian @ 4.928
3 50% East_Sicilian +50% Tuscan @ 5.297
4 50% South_Italian +50% Tuscan @ 5.329
5 50% Italian_Abruzzo +50% Tuscan @ 5.433
6 50% Cyprian +50% Spanish_Castilla_La_Mancha @ 5.602
7 50% Cyprian +50% Spanish_Castilla_Y_Leon @ 5.627
8 50% East_Sicilian +50% North_Italian @ 5.643
9 50% Central_Greek +50% Tuscan @ 5.675
10 50% Cyprian +50% Portuguese @ 5.830
21528 iterations.



Using 3 populations approximation:
1 50% South_Italian +25% East_Sicilian +25% Spanish_Cantabria @ 4.241
2 50% South_Italian +25% South_Italian +25% Spanish_Cantabria @ 4.296
3 50% South_Italian +25% Central_Greek +25% Spanish_Cantabria @ 4.359
4 50% North_Italian +25% Georgian_Jewish +25% Sardinian @ 4.363
5 50% South_Italian +25% East_Sicilian +25% Spanish_Castilla_La_Mancha @ 4.433
6 50% South_Italian +25% Italian_Abruzzo +25% Spanish_Cantabria @ 4.450
7 50% East_Sicilian +25% South_Italian +25% Spanish_Cantabria @ 4.452
8 50% Spanish_Cantabria +25% Armenian +25% Libyan_Jewish @ 4.460
9 50% East_Sicilian +25% South_Italian +25% Spanish_Castilla_La_Mancha @ 4.473
10 50% South_Italian +25% Central_Greek +25% Spanish_Castilla_La_Mancha @ 4.514
1059999 iterations.



Using 4 populations approximation:
1 Georgian_Jewish + Italian_Abruzzo + Sardinian + Spanish_Castilla_Y_Leon @ 2.879
2 Armenian + Italian_Abruzzo + Sardinian + Spanish_Castilla_Y_Leon @ 3.061
3 French + Georgian_Jewish + Italian_Abruzzo + Sardinian @ 3.090
4 Georgian_Jewish + Italian_Abruzzo + Sardinian + Spanish_Cataluna @ 3.115
5 French + Georgian_Jewish + Sardinian + West_Sicilian @ 3.133
6 Armenian + Sardinian + Sephardic_Jewish + Southwest_English @ 3.136
7 Georgian_Jewish + Italian_Abruzzo + Portuguese + Sardinian @ 3.185
8 Georgian_Jewish + Sardinian + Sephardic_Jewish + Southwest_English @ 3.194
9 Georgian_Jewish + Italian_Abruzzo + Sardinian + Spanish_Murcia @ 3.210
10 Armenian + Sardinian + Southwest_English + Tunisian_Jewish @ 3.217
11 Georgian_Jewish + Italian_Abruzzo + Sardinian + Spanish_Extremadura @ 3.241
12 Georgian_Jewish + Italian_Abruzzo + Sardinian + Spanish_Galicia @ 3.243
13 Armenian + French + Sardinian + West_Sicilian @ 3.297
14 Assyrian + French + Italian_Abruzzo + Sardinian @ 3.317
15 Armenian + Italian_Abruzzo + Sardinian + Spanish_Murcia @ 3.318
16 Armenian + Italian_Abruzzo + Sardinian + Spanish_Extremadura @ 3.338
17 Armenian + Sardinian + Sephardic_Jewish + Southeast_English @ 3.346
18 French + Georgian_Jewish + Sardinian + South_Italian @ 3.347
19 East_Sicilian + French + Georgian_Jewish + Sardinian @ 3.366
20 Armenian + Italian_Abruzzo + Sardinian + Spanish_Cataluna @ 3.402

Táltos
04-19-2014, 02:23 PM
Here are my K13 results.

1 Baltic 33.71
2 North_Atlantic 27.62
3 West_Med 14.13
4 East_Med 12.05
5 West_Asian 8.98
6 Red_Sea 1.34
7 Oceanian 0.78
8 Amerindian 0.63
9 Sub-Saharan 0.6
10 East_Asian 0.1
11 South_Asian 0.05

# Population (source) Distance
1 Croatian 3.46
2 Moldavian 3.71
3 Hungarian 5.38
4 Serbian 6.87
5 Ukrainian_Lviv 9.77
6 Austrian 9.79
7 South_Polish 10.09
8 East_German 10.25
9 Romanian 10.69
10 Ukrainian 11
11 Bulgarian 12.87
12 Polish 13.68
13 Southwest_Russian 14.42
14 Ukrainian_Belgorod 14.62
15 Russian_Smolensk 15.95
16 Estonian_Polish 16.56
17 Belorussian 17.01
18 West_German 17.17
19 South_Dutch 18.64
20 Southwest_Finnish 18.81

1 56.2% Romanian + 43.8% Polish @ 1.45
2 51.5% South_Polish + 48.5% Romanian @ 1.54
3 74.1% South_Polish + 25.9% Central_Greek @ 1.57
4 56.2% South_Polish + 43.8% Bulgarian @ 1.59
5 76.7% South_Polish + 23.3% South_Italian @ 1.6
6 66.9% Polish + 33.1% Italian_Abruzzo @ 1.66
7 68.8% Croatian + 31.2% Serbian @ 1.69
8 67.1% Serbian + 32.9% Polish @ 1.74
9 76.4% Serbian + 23.6% Lithuanian @ 1.74
10 68.5% South_Polish + 31.5% Greek_Thessaly @ 1.77
11 70.5% Serbian + 29.5% Russian_Smolensk @ 1.81
12 75% South_Polish + 25% East_Sicilian @ 1.81
13 62.1% Serbian + 37.9% Ukrainian @ 1.81
14 73.5% South_Polish + 26.5% Italian_Abruzzo @ 1.81
15 90.4% Croatian + 9.6% Italian_Abruzzo @ 1.88
16 78.4% Croatian + 21.6% Romanian @ 1.88
17 59.2% Serbian + 40.8% Ukrainian_Lviv @ 1.89
18 51.6% Bulgarian + 48.4% Polish @ 1.89
19 60% Serbian + 40% South_Polish @ 1.9
20 68.7% Serbian + 31.3% Ukrainian_Belgorod @ 1.91

Táltos
04-19-2014, 02:25 PM
And my V2 K15.


# Population Percent
1 North_Sea 23.46
2 Baltic 21.59
3 Atlantic 13.41
4 Eastern_Euro 11.8
5 West_Med 11.42
6 East_Med 8.89
7 West_Asian 7.6
8 Red_Sea 0.73
9 Oceanian 0.51
10 Sub-Saharan 0.42
11 Amerindian 0.17

# Population (source) Distance
1 Hungarian 4.81
2 Moldavian 5.54
3 Croatian 6.92
4 Serbian 8.43
5 Ukrainian_Lviv 9.33
6 Austrian 9.76
7 East_German 10.06
8 Romanian 10.33
9 Ukrainian 10.44
10 South_Polish 10.64
11 Bulgarian 13.03
12 Polish 13.58
13 Russian_Smolensk 15.08
14 Ukrainian_Belgorod 15.16
15 Southwest_Russian 15.55
16 West_German 15.76
17 Southwest_Finnish 15.87
18 Finnish 15.96
19 Belorussian 16.77
20 South_Dutch 16.88

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 58.1% Hungarian + 41.9% Moldavian @ 3.87
2 87.7% Hungarian + 12.3% Greek_Thessaly @ 4.05
3 80.1% Moldavian + 19.9% West_German @ 4.06
4 68.8% Ukrainian_Lviv + 31.2% Greek_Thessaly @ 4.08
5 94.9% Hungarian + 5.1% Armenian @ 4.19
6 84.3% Hungarian + 15.7% Bulgarian @ 4.22
7 83.9% Moldavian + 16.1% Swedish @ 4.23
8 95% Hungarian + 5% Assyrian @ 4.23
9 94.5% Hungarian + 5.5% Cyprian @ 4.24
10 95.1% Hungarian + 4.9% Georgian_Jewish @ 4.26
11 86.2% Moldavian + 13.8% West_Norwegian @ 4.26
12 66% Ukrainian + 34% Greek_Thessaly @ 4.27
13 95.4% Hungarian + 4.6% Lebanese_Christian @ 4.27
14 95.5% Hungarian + 4.5% Kurdish_Jewish @ 4.28
15 81.1% Hungarian + 18.9% Romanian @ 4.29
16 72.7% Ukrainian_Lviv + 27.3% Tuscan @ 4.29
17 95.4% Hungarian + 4.6% Samaritan @ 4.3
18 92.2% Hungarian + 7.8% Central_Greek @ 4.31
19 95.5% Hungarian + 4.5% Iranian_Jewish @ 4.31
20 90.8% Hungarian + 9.2% Greek @ 4.32

Humanist
04-20-2014, 10:24 PM
My Eurogenes EUtest V2 K15 results:

Admix Results (sorted):


# Population Percent
1 East_Med 39.61
2 West_Asian 32.38
3 Red_Sea 8.46
4 West_Med 6.11
5 South_Asian 4.71
6 Atlantic 4.15
7 Baltic 2.21
8 Eastern_Euro 1.83
9 Siberian 0.53


Single Population Sharing:


# Population (source) Distance
1 Assyrian 3.5

2 Georgian_Jewish 4.76
3 Iranian_Jewish 5.86
4 Kurdish_Jewish 6.87

5 Armenian 8.04

6 Kurdish 9.37

7 Lebanese_Muslim 10.47 <-- They appear to be more "West Asian" than other Levantines.
8 Iranian 11.01
9 Azeri 11.24
10 Turkish 11.48

11 Syrian 12.82

12 Lebanese_Christian 14.47
13 Cyprian 14.97
14 Lebanese_Druze 15.08

15 Samaritan 16.87

16 Jordanian 17.81

17 Palestinian 18.74

18 Tunisian_Jewish 21.2
19 Sephardic_Jewish 21.78
20 Bedouin 22.27

rod
04-20-2014, 10:40 PM
Eurogenes K13 Oracle results:


K13 Oracle ref data revised 19 Mar 2014

Admix Results (sorted):

# Population Percent
1 North_Atlantic 53.39
2 Baltic 22.65
3 West_Med 13.49
4 East_Med 4.37
5 West_Asian 3.5
6 Red_Sea 0.85
7 Sub-Saharan 0.7
8 South_Asian 0.42
9 East_Asian 0.26
10 Oceanian 0.21
11 Northeast_African 0.16

Single Population Sharing:

# Population (source) Distance
1 Southwest_English 2.87
2 Southeast_English 3.17
3 West_Scottish 3.44
4 Orcadian 3.66
5 Irish 4.24
6 North_Dutch 5.39
7 Danish 5.93
8 Norwegian 7.26
9 North_German 8.13
10 South_Dutch 8.7
11 Swedish 9.96
12 West_German 10.14
13 French 13.03
14 North_Swedish 16
15 Austrian 16.16
16 East_German 16.6
17 Spanish_Cataluna 19.37
18 Southwest_French 20.34
19 Spanish_Castilla_Y_Leon 20.44
20 Spanish_Cantabria 20.78

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 55.1% Southeast_English + 44.9% West_Scottish @ 2.55
2 59.9% Southwest_English + 40.1% Southeast_English @ 2.61
3 67% Southwest_English + 33% West_Scottish @ 2.66
4 91% West_Scottish + 9% Spanish_Valencia @ 2.68
5 84.3% Southwest_English + 15.7% Danish @ 2.7
6 72.2% Southwest_English + 27.8% Orcadian @ 2.71
7 87.8% Southwest_English + 12.2% Norwegian @ 2.71
8 90.6% West_Scottish + 9.4% Spanish_Castilla_Y_Leon @ 2.72
9 83.5% Southwest_English + 16.5% North_Dutch @ 2.72
10 90.1% West_Scottish + 9.9% Spanish_Cataluna @ 2.72
11 91.3% West_Scottish + 8.7% Spanish_Aragon @ 2.73
12 91.2% West_Scottish + 8.8% Spanish_Murcia @ 2.73
13 91.3% West_Scottish + 8.7% Portuguese @ 2.79
14 94% Southwest_English + 6% Swedish @ 2.81
15 91.7% West_Scottish + 8.3% Spanish_Castilla_La_Mancha @ 2.81
16 91.3% West_Scottish + 8.7% Spanish_Cantabria @ 2.82
17 96.9% Southwest_English + 3.1% North_Swedish @ 2.83
18 98.4% Southwest_English + 1.6% La_Brana-1 @ 2.83
19 88.3% Southwest_English + 11.7% Irish @ 2.84
20 95.5% Southwest_English + 4.5% North_German @ 2.85

Eurogenes EUtest V2 K15 Oracle results:


K15 Oracle ref data revised 22 Mar 2014

Admix Results (sorted):

# Population Percent
1 North_Sea 38.29
2 Atlantic 30.83
3 Baltic 9.78
4 West_Med 8.59
5 Eastern_Euro 7.75
6 East_Med 2.03
7 West_Asian 1.21
8 Red_Sea 0.86
9 Sub-Saharan 0.59
10 Northeast_African 0.07

Single Population Sharing:

# Population (source) Distance
1 West_Scottish 2.98
2 Irish 3.36
3 Southeast_English 3.37
4 Orcadian 3.7
5 Southwest_English 4.44
6 North_Dutch 5
7 Danish 5.32
8 North_German 7.72
9 West_Norwegian 8.01
10 Norwegian 8.3
11 South_Dutch 9.18
12 Swedish 9.8
13 West_German 10.15
14 French 12.69
15 North_Swedish 12.98
16 East_German 15.78
17 Southwest_Finnish 18.02
18 Spanish_Cataluna 19.54
19 Austrian 19.63
20 Spanish_Galicia 20.03

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 97.5% West_Scottish + 2.5% Sardinian @ 2.7
2 74% West_Scottish + 26% Southwest_English @ 2.71
3 94.4% West_Scottish + 5.6% Spanish_Galicia @ 2.74
4 95% West_Scottish + 5% Spanish_Cantabria @ 2.75
5 94.9% West_Scottish + 5.1% Portuguese @ 2.76
6 95.5% West_Scottish + 4.5% Spanish_Aragon @ 2.76
7 95% West_Scottish + 5% Spanish_Castilla_Y_Leon @ 2.77
8 95.3% West_Scottish + 4.7% Spanish_Murcia @ 2.77
9 94.7% West_Scottish + 5.3% Spanish_Cataluna @ 2.78
10 56.2% Southeast_English + 43.8% Orcadian @ 2.78
11 96.3% West_Scottish + 3.7% French_Basque @ 2.78
12 95.4% West_Scottish + 4.6% Spanish_Extremadura @ 2.79
13 95.9% West_Scottish + 4.1% Spanish_Castilla_La_Mancha @ 2.81
14 95.8% West_Scottish + 4.2% Southwest_French @ 2.81
15 65.5% West_Scottish + 34.5% Southeast_English @ 2.81
16 96% West_Scottish + 4% Spanish_Valencia @ 2.81
17 96.6% West_Scottish + 3.4% Spanish_Andalucia @ 2.84
18 93.8% West_Scottish + 6.2% French @ 2.86
19 74.2% West_Scottish + 25.8% Orcadian @ 2.86
20 98.5% West_Scottish + 1.5% Mozabite_Berber @ 2.89

DMXX
04-21-2014, 05:19 PM
My 4-way results are pretty interesting.



Using 4 populations approximation:
1 Afghan_Pashtun + Iranian + Kurdish + Lebanese_Druze @ 3.401
2 Afghan_Pashtun + Azeri + Iranian + Lebanese_Druze @ 3.474
3 Afghan_Pashtun + Iranian + Iranian + Lebanese_Druze @ 3.547
4 Afghan_Pashtun + Kurdish + Kurdish + Lebanese_Druze @ 3.564
5 Afghan_Pashtun + Azeri + Kurdish + Lebanese_Druze @ 3.580
6 Iranian + Iranian + Lebanese_Druze + Tadjik @ 3.651
7 Iranian + Kumyk + Lebanese_Druze + Makrani @ 3.653
8 Azeri + Kumyk + Lebanese_Druze + Makrani @ 3.726
9 Iranian + Kurdish + Lebanese_Druze + Tadjik @ 3.760
10 Iranian + Iranian_Jewish + Kurdish + Tadjik @ 3.839
11 Kumyk + Kurdish + Lebanese_Druze + Makrani @ 3.843
12 Afghan_Pashtun + Iranian_Jewish + Kumyk + Lebanese_Druze @ 3.933
13 Lebanese_Druze + Lebanese_Druze + North_Ossetian + Pathan @ 3.933
14 Balochi + Iranian_Jewish + Kumyk + Lebanese_Druze @ 3.941
15 Iranian_Jewish + Kurdish + Kurdish + Tadjik @ 3.961
16 Brahui + Iranian_Jewish + Lebanese_Druze + Lezgin @ 3.966
17 Iranian_Jewish + Lebanese_Druze + Makrani + Tabassaran @ 3.980
18 Iranian + Iranian + Iranian_Jewish + Tadjik @ 3.992
19 Iranian_Jewish + Lebanese_Druze + Lezgin + Makrani @ 4.013
20 Balochi + Iranian_Jewish + Lebanese_Druze + Lezgin @ 4.019

AJL
04-21-2014, 06:35 PM
My K15 V2:


Using 1 population approximation:
1 Serbian @ 12.071
2 North_Italian @ 12.072
3 Romanian @ 12.641
4 Tuscan @ 12.676
5 Bulgarian @ 13.920
6 French @ 15.382
7 Portuguese @ 15.625
8 Spanish_Murcia @ 15.818
9 Spanish_Cataluna @ 15.825
10 Spanish_Extremadura @ 15.879

Using 2 populations approximation:
1 50% Irish +50% Sephardic_Jewish @ 3.968
2 50% Danish +50% Sephardic_Jewish @ 3.978
3 50% North_German +50% Sephardic_Jewish @ 4.003
4 50% North_German +50% West_Sicilian @ 4.184
5 50% Sephardic_Jewish +50% West_Scottish @ 4.203
6 50% Italian_Jewish +50% North_German @ 4.250
7 50% North_Dutch +50% Sephardic_Jewish @ 4.296
8 50% Algerian_Jewish +50% North_German @ 4.433
9 50% Algerian_Jewish +50% Irish @ 4.501
10 50% Sephardic_Jewish +50% Southeast_English @ 4.626

Using 3 populations approximation:
1 50% North_German +25% Lebanese_Druze +25% Spanish_Andalucia @ 2.779
2 50% North_German +25% Lebanese_Druze +25% Spanish_Valencia @ 2.960
3 50% North_German +25% Sephardic_Jewish +25% West_Sicilian @ 2.963
4 50% North_German +25% Lebanese_Christian +25% Spanish_Valencia @ 3.135
5 50% North_German +25% Tunisian_Jewish +25% West_Sicilian @ 3.136
6 50% North_German +25% Algerian_Jewish +25% West_Sicilian @ 3.178
7 50% Irish +25% Greek +25% Tunisian_Jewish @ 3.197
8 50% North_German +25% Lebanese_Christian +25% Spanish_Andalucia @ 3.237
9 50% North_German +25% Lebanese_Druze +25% Spanish_Castilla_La_Mancha @ 3.296
10 50% North_German +25% Lebanese_Druze +25% Spanish_Aragon @ 3.298

Using 4 populations approximation:
1 Austrian + Lebanese_Druze + Spanish_Valencia + West_Scottish @ 1.948
2 Austrian + Irish + Lebanese_Druze + Spanish_Valencia @ 1.956
3 Austrian + Irish + Lebanese_Druze + Spanish_Murcia @ 1.970
4 Austrian + Lebanese_Druze + Spanish_Murcia + West_Scottish @ 2.076
5 Austrian + Lebanese_Druze + North_Dutch + Spanish_Aragon @ 2.084
6 Austrian + Irish + Lebanese_Druze + Spanish_Castilla_Y_Leon @ 2.100
7 Austrian + Irish + Lebanese_Druze + Spanish_Aragon @ 2.113
8 Austrian + Lebanese_Druze + Spanish_Aragon + West_Scottish @ 2.114
9 Austrian + Irish + Lebanese_Druze + Spanish_Castilla_La_Mancha @ 2.139
10 Austrian + Lebanese_Druze + Spanish_Castilla_Y_Leon + West_Scottish @ 2.152
11 Austrian + Lebanese_Druze + Spanish_Castilla_La_Mancha + West_Scottish @ 2.161
12 Austrian + Danish + Lebanese_Druze + Spanish_Aragon @ 2.166
13 Austrian + Irish + Lebanese_Druze + Spanish_Cataluna @ 2.233
14 Austrian + Lebanese_Druze + North_Dutch + Spanish_Valencia @ 2.233
15 Austrian + Lebanese_Druze + Spanish_Andalucia + West_Scottish @ 2.251
16 Austrian + Lebanese_Druze + Southeast_English + Spanish_Castilla_Y_Leon @ 2.256
17 Austrian + Lebanese_Druze + Southeast_English + Spanish_Valencia @ 2.306
18 Austrian + Lebanese_Druze + Orcadian + Spanish_Valencia @ 2.312
19 Austrian + Irish + Lebanese_Druze + Spanish_Extremadura @ 2.315
20 Austrian + Irish + Lebanese_Druze + Spanish_Andalucia @ 2.317

Agamemnon
04-21-2014, 07:09 PM
^^ Here's mine, so we can compare:

Using 1 population approximation:
1 French @ 12.836
2 West_German @ 12.875
3 Spanish_Galicia @ 14.946
4 Serbian @ 15.522
5 South_Dutch @ 15.971
6 North_Italian @ 16.146
7 Portuguese @ 16.335
8 Romanian @ 17.453
9 Spanish_Cataluna @ 17.959
10 Tuscan @ 18.069
207 iterations.



Using 2 populations approximation:
1 50% East_Sicilian +50% West_Norwegian @ 6.077
2 50% Central_Greek +50% West_Norwegian @ 6.507
3 50% Ashkenazi +50% West_Norwegian @ 6.517
4 50% South_Italian +50% West_Norwegian @ 6.559
5 50% Italian_Jewish +50% West_Norwegian @ 6.711
6 50% Ashkenazi +50% Orcadian @ 6.797
7 50% East_Sicilian +50% Norwegian @ 6.813
8 50% Italian_Abruzzo +50% West_Norwegian @ 7.102
9 50% Greek_Thessaly +50% Orcadian @ 7.159
10 50% Central_Greek +50% Norwegian @ 7.220
21528 iterations.



Using 3 populations approximation:
1 50% West_German +25% Libyan_Jewish +25% West_German @ 4.611
2 50% West_German +25% French +25% Libyan_Jewish @ 5.182
3 50% West_German +25% Italian_Jewish +25% West_German @ 5.274
4 50% West_Norwegian +25% Lebanese_Christian +25% Spanish_Galicia @ 5.302
5 50% West_German +25% Cyprian +25% West_German @ 5.384
6 50% West_Norwegian +25% Kurdish_Jewish +25% Spanish_Galicia @ 5.423
7 50% West_Norwegian +25% Samaritan +25% Spanish_Galicia @ 5.424
8 50% West_Norwegian +25% Libyan_Jewish +25% Tuscan @ 5.473
9 50% West_German +25% Libyan_Jewish +25% South_Dutch @ 5.491
10 50% West_German +25% Libyan_Jewish +25% Southwest_English @ 5.495
1502131 iterations.



Using 4 populations approximation:
1 Libyan_Jewish + West_German + West_German + West_German @ 4.611
2 French + Libyan_Jewish + West_German + West_German @ 5.182
3 Italian_Jewish + West_German + West_German + West_German @ 5.274
4 Lebanese_Christian + Spanish_Galicia + West_Norwegian + West_Norwegian @ 5.302
5 Spanish_Galicia + Syrian + West_German + West_Norwegian @ 5.340
6 Cyprian + West_German + West_German + West_German @ 5.384
7 Kurdish_Jewish + Spanish_Galicia + West_Norwegian + West_Norwegian @ 5.423
8 Samaritan + Spanish_Galicia + West_Norwegian + West_Norwegian @ 5.424
9 French + Samaritan + West_German + West_Norwegian @ 5.455
10 Lebanese_Christian + Norwegian + Spanish_Galicia + West_Norwegian @ 5.462
11 Libyan_Jewish + Tuscan + West_Norwegian + West_Norwegian @ 5.473
12 Kurdish_Jewish + Spanish_Galicia + West_German + West_Norwegian @ 5.489
13 Libyan_Jewish + South_Dutch + West_German + West_German @ 5.491
14 Libyan_Jewish + Southwest_English + West_German + West_German @ 5.495
15 Orcadian + Samaritan + West_German + West_German @ 5.502
16 Syrian + West_German + West_German + West_German @ 5.502
17 Libyan_Jewish + Spanish_Galicia + West_German + West_Norwegian @ 5.530
18 Greek_Thessaly + Libyan_Jewish + Orcadian + West_Norwegian @ 5.530
19 Lebanese_Muslim + Spanish_Galicia + West_German + West_Norwegian @ 5.539
20 Algerian_Jewish + West_German + West_German + West_German @ 5.547



But I don't find K15 V2 very useful, at least as far as my results go I feel it isn't very accurate... So here's my K13 results:

Using 1 population approximation:
1 North_Italian @ 10.424
2 French @ 12.748
3 Tuscan @ 13.240
4 Romanian @ 13.307
5 Portuguese @ 13.324
6 Serbian @ 13.740
7 Spanish_Galicia @ 14.525
8 Spanish_Extremadura @ 14.611
9 Spanish_Cataluna @ 14.621
10 Spanish_Murcia @ 15.227
204 iterations.



Using 2 populations approximation:
1 50% Ashkenazi +50% Southwest_English @ 2.193
2 50% East_Sicilian +50% Southeast_English @ 2.431
3 50% Ashkenazi +50% West_Scottish @ 2.664
4 50% Ashkenazi +50% Irish @ 2.706
5 50% Danish +50% South_Italian @ 2.745
6 50% Ashkenazi +50% Southeast_English @ 3.012
7 50% Ashkenazi +50% Orcadian @ 3.027
8 50% North_Dutch +50% South_Italian @ 3.105
9 50% North_German +50% West_Sicilian @ 3.120
10 50% Central_Greek +50% Southeast_English @ 3.129
20910 iterations.



Using 3 populations approximation:
1 50% Southeast_English +25% Greek_Thessaly +25% Sephardic_Jewish @ 1.788
2 50% Danish +25% Algerian_Jewish +25% West_Sicilian @ 2.025
3 50% Danish +25% Italian_Jewish +25% West_Sicilian @ 2.068
4 50% Southeast_English +25% Ashkenazi +25% East_Sicilian @ 2.136
5 50% Danish +25% Sephardic_Jewish +25% West_Sicilian @ 2.143
6 50% Southeast_English +25% Greek_Thessaly +25% Italian_Jewish @ 2.187
7 50% Ashkenazi +25% Southwest_English +25% Southwest_English @ 2.193
8 50% Southwest_English +25% Ashkenazi +25% Ashkenazi @ 2.193
9 50% Southeast_English +25% Ashkenazi +25% Italian_Abruzzo @ 2.212
10 50% Danish +25% Algerian_Jewish +25% Italian_Abruzzo @ 2.233
830483 iterations.



Using 4 populations approximation:
1 East_German + Lebanese_Druze + Southwest_English + Spanish_Valencia @ 1.632
2 East_German + Lebanese_Druze + Southeast_English + Spanish_Aragon @ 1.683
3 East_German + Lebanese_Druze + Southeast_English + Spanish_Castilla_La_Mancha @ 1.754
4 Austrian + Lebanese_Druze + Southwest_English + Spanish_Valencia @ 1.756
5 Austrian + Danish + Lebanese_Druze + Spanish_Aragon @ 1.772
6 Greek_Thessaly + Sephardic_Jewish + Southeast_English + Southeast_English @ 1.788
7 Austrian + Lebanese_Druze + Southeast_English + Spanish_Aragon @ 1.833
8 Austrian + Lebanese_Druze + Spanish_Valencia + West_Scottish @ 1.839
9 Austrian + Lebanese_Druze + Southeast_English + Spanish_Cantabria @ 1.854
10 East_German + Lebanese_Druze + Southeast_English + Spanish_Valencia @ 1.864
11 East_German + Lebanese_Druze + Spanish_Valencia + West_Scottish @ 1.879
12 East_German + Lebanese_Druze + Southwest_English + Spanish_Murcia @ 1.899
13 Austrian + Lebanese_Druze + Southeast_English + Spanish_Castilla_La_Mancha @ 1.902
14 East_German + Lebanese_Druze + Southwest_English + Spanish_Castilla_La_Mancha @ 1.906
15 Austrian + Lebanese_Druze + Southwest_English + Spanish_Cataluna @ 1.925
16 Austrian + Irish + Lebanese_Druze + Spanish_Valencia @ 1.938
17 Ashkenazi + Danish + South_Italian + Southwest_English @ 1.939
18 Danish + East_German + Lebanese_Druze + Spanish_Aragon @ 1.948
19 Austrian + Lebanese_Druze + Orcadian + Spanish_Aragon @ 1.950
20 Austrian + Lebanese_Druze + Orcadian + Spanish_Valencia @ 1.951



Makes more sense given my known ancestry, but still I think 4-way oracles don't depict Ashkenazi ancestry accurately enough (the 3-way oracle though makes a great deal of sense if you ask me).

AJL
04-21-2014, 07:47 PM
^^ Here's mine, so we can compare:
{...}

But I don't find K15 V2 very useful, at least as far as my results go I feel it isn't very accurate...

{...}

Makes more sense given my known ancestry, but still I think 4-way oracles don't depict Ashkenazi ancestry accurately enough (the 3-way oracle though makes a great deal of sense if you ask me).

I don't know, the 2-way is pretty accurate for me in K15 while the K13 keeps giving me Danish in 3-way and 4-way. I might have some Danish down the line, but at levels under 1%. The fact is that no one statistical test will be most accurate for everyone.

Agamemnon
04-21-2014, 07:58 PM
I don't know, the 2-way is pretty accurate for me in K15 while the K13 keeps giving me Danish in 3-way and 4-way. I might have some Danish down the line, but at levels under 1%. The fact is that no one statistical test will be most accurate for everyone.

Instead of the 2-way oracles I prefer the Mixed Mode, and I often get very realistic results when using it (around 40% Cypriot, ~35% Samaritan, Druze, etc).
I also get Danish quite often, but this is just because I have a lot of Eastern English ancestry.

As you said, no test will be accurate for everyone... I get very weird "West German" everywhere with K15 V2 for example.
The 3-way oracle in K13 makes sense though, with my Ashkenazi side showing up as basically Sephardic + East Med (Greek or Sicilian).