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ADW_1981
10-10-2014, 02:03 AM
Just realized my autosomal DNA is a really good fit to the Iron Age Briton, though it would be of no surprise. Used the Eurogenes K15 calculator.

Iron Age R1b-L11+ Briton / Me (M183037)

North Sea - 42.96 41.19
Atlantic - 28.86 25.79
Baltic - 6.47 8.95
Eastern Euro - 12.22 8.76
West Med - 6.77 10.87
West Asian - 1.74 2.09
East Med - 0.01 0.83
Red Sea - 0.97 -

MitchellSince1893
10-10-2014, 04:35 AM
# Population Percent
1 North_Sea 32.49
2 Atlantic 28.56
3 Baltic 14.4
4 Eastern_Euro 10.89
5 West_Med 6.34
6 West_Asian 3.59
7 East_Med 1.63
8 South_Asian 1.3
9 Amerindian 0.37
10 Red_Sea 0.36
11 Northeast_African 0.07

It would be interesting to know if my lower North_Sea and higher Baltic scores are more indicative of Anglo-Saxon vice Iron Age Briton

Silesian
10-10-2014, 06:08 AM
Eurogenes EUtest V2 K15 Oracle results:
Kit M-----

Admix Results (sorted): Age Briton ERS389795

# Population Percent
1 Baltic 26.94 6.47
2 North_Sea 21.24 42.96
3 Atlantic 19 28.86
4 Eastern_Euro 18.49 12.22
5 West_Med 6.7 6.77
6 West_Asian 4.69 1.74
7 South_Asian 1.57 0
8 East_Med 1.09 0.01
9 Oceanian 0.21 0
10 Siberian 0.06 0

Stephen1986
10-10-2014, 10:27 AM
Here's the results for my brother and myself.

Iron Age Briton/Myself/My brother

North Sea 42.96 36.34 35.56
Atlantic 28.86 32.38 29.98
Baltic 6.47 9.22 10.72
Eastern Euro 12.22 9.11 8.42
West Med 6.77 7.89 7.79
West Asian 1.74 - 3.00
East Med 0.01 - 0.94
Red Sea 0.97 0.92 0.86
Oceanian - 0.23 0.30
Northeast_African - 0.53 0.74
Sub-Saharan - 0.33 -

Salkin
10-10-2014, 11:17 AM
My results.


Component | Iron Age Briton | Me (M606752)
-------------+-----------------+-------------
North Sea | 42.96 | 36.92
Atlantic | 28.86 | 29.07
Baltic | 6.47 | 13.91
Eastern Euro | 12.22 | 9.18
West Med | 6.77 | 5.69
West Asian | 1.74 | 1.54
East Med | 0.01 | -
Red Sea | 0.97 | 0.78
South Asian | - | 1.81
Amerindian | - | 0.92
NE African | - | 0.19

John Doe
10-10-2014, 12:40 PM
Here are my results:
Component | Iron Age Briton | Me
-------------+-----------------+-------------
North Sea | 42.96 | 8.44
Atlantic | 28.86 | 19.52
Baltic | 6.47 | 4.00
Eastern Euro | 12.22 | 1.99
West Med | 6.77 | 14.60
West Asian | 1.74 | 16.32
East Med | 0.01 | 26.20
Red Sea | 0.97 | 6.79
South Asian | - | -
Amerindian | - | -
NE African | - | 1.24

Anglecynn
10-10-2014, 04:59 PM
I think the things that really stick out in mine (and generally in my family) are the lower NW Euro specific scores (North Sea/Atlantic) and higher Baltic (Overall a couple of percent higher in north-east Euro components), higher Med/West Asian and in particular East Med. Compared to modern population averages for my region i'm just more Baltic and East Med at the expense of Atlantic, although in my case the East Med is curious and looks more recent. There's a poster on another forum who is of Scottish and northern English descent and he is very, very close to this guy in admixture.

Iron Age Briton/Me
North_Sea 42.96/34.34
Atlantic 28.86/24.73
Baltic 6.47/11.82
Eastern_Euro 12.22/8.91
West_Med 6.77/8.52
West_Asian 1.74/3.67
East_Med 0.01/4.31
Red_Sea 0.97/1.7
South_Asian 0/0.89
Southeast_Asian 0/0
Siberian 0/0
Amerindian 0/0.13
Oceanian 0/0.41
Northeast_African 0/0
Sub-Saharan 0/0.56

ADW_1981
10-10-2014, 06:25 PM
I think my result is just luck of the draw since neither of my parents are as good a fit.
I think the most reasonable explanation is that more recent immigration from the continent, probably from the Norman age through to the Industrial Revolution are the explanation why England in general is different from say Ireland or the Scottish highlands.

Since this is a snapshot in time of the far NW European from 500 BC - 200 AD, it shouldn't be a surprise that a Western Norwegian or an Orcadian fits best as those are two NW extremities who would be least affected by continental immigrants.

Anglecynn
10-10-2014, 06:41 PM
I think my result is just luck of the draw since neither of my parents are as good a fit.
I think the most reasonable explanation is that more recent immigration from the continent, probably from the Norman age through to the Industrial Revolution are the explanation why England in general is different from say Ireland or the Scottish highlands.

Since this is a snapshot in time of the far NW European from 500 BC - 200 AD, it shouldn't be a surprise that a Western Norwegian or an Orcadian fits best as those are two NW extremities who would be least affected by continental immigrants.

I think that explains some of it no doubt, but probably the Iron Age and Anglo Saxon samples are more similar to each other than either is to say Italians or central French etc. So i think the most likely scenario is that after factoring in (say for example) a 50-50 combination from each group, the result will be slightly more northern than modern people from the same area. Although looking at results from some other nearby populations, and the difference say between North Dutch and South Dutch in Eurogenes, it probably happened to a number of other places in NW Europe as well, but least in the extremities as you say, so parts of Britain and in parts of Scandinavia and in Iceland. Although it would be good to see the other Iron Age result as well to see how typical either one is - if they are both very similar then it's more straightforward. And of course the other 3 (I think 3?) samples from the early medieval period.

ADW_1981
10-10-2014, 06:50 PM
I think that explains some of it no doubt, but probably the Iron Age and Anglo Saxon samples are more similar to each other than either is to say Italians or central French etc. So i think the most likely scenario is that after factoring in (say for example) a 50-50 combination from each group, the result will be slightly more northern than modern people from the same area. Although looking at results from some other nearby populations, and the difference say between North Dutch and South Dutch in Eurogenes, it probably happened to a number of other places in NW Europe as well, but least in the extremities as you say, so parts of Britain and in parts of Scandinavia and in Iceland. Although it would be good to see the other Iron Age result as well to see how typical either one is - if they are both very similar then it's more straightforward. And of course the other 3 (I think 3?) samples from the early medieval period.

I agree...my suspicion is that the Anglo-Saxon will be very similar to the Briton once we are able to take a look at that dataset as well. To the best of my knowledge it wasn't as good a read as this sample but let's wait and see. I'm sill very bummed that no downstream SNPs were discerned below L11. My hope is still that this was a partial data set and we'll just need to wait for the full disclosure....

vettor
10-10-2014, 08:19 PM
I agree...my suspicion is that the Anglo-Saxon will be very similar to the Briton once we are able to take a look at that dataset as well. To the best of my knowledge it wasn't as good a read as this sample but let's wait and see. I'm sill very bummed that no downstream SNPs were discerned below L11. My hope is still that this was a partial data set and we'll just need to wait for the full disclosure....

Are you referring to the first briton?

The data indicate that ERS389795 was male. The Y-SNP calls don’t show which Y haplogroup ERS389795 belonged to, but they do show that he didn’t belong to haplogroups E, G, I1, J, R1a1, or T1a.
The mt-SNP calls show that ERS389795 belonged to mitochondrial haplogroup K1a1.

The data indicate that ERS389796 was female. The mt-SNP calls show that she belonged to mitochondrial haplogroup H2a2b1.

The data indicate that ERS389797 was female. The mt-SNP calls show that she belonged to mitochondrial haplogroup K1a4a1a2.

The data indicate that ERS389798 was male. It can be inferred from the Y-SNP calls that he belonged to Y haplogroup R1b, and he may have belonged to R1b1a2a1a2c1g2-FGC3903/S5201/Y2890.
The mt-SNP calls show that ERS389798 belonged to mitochondrial haplogroup H1ag1.

Anglecynn
10-10-2014, 08:32 PM
Are you referring to the first briton?

The data indicate that ERS389795 was male. The Y-SNP calls don’t show which Y haplogroup ERS389795 belonged to, but they do show that he didn’t belong to haplogroups E, G, I1, J, R1a1, or T1a.
The mt-SNP calls show that ERS389795 belonged to mitochondrial haplogroup K1a1.

The data indicate that ERS389796 was female. The mt-SNP calls show that she belonged to mitochondrial haplogroup H2a2b1.

The data indicate that ERS389797 was female. The mt-SNP calls show that she belonged to mitochondrial haplogroup K1a4a1a2.

The data indicate that ERS389798 was male. It can be inferred from the Y-SNP calls that he belonged to Y haplogroup R1b, and he may have belonged to R1b1a2a1a2c1g2-FGC3903/S5201/Y2890.
The mt-SNP calls show that ERS389798 belonged to mitochondrial haplogroup H1ag1.

Awesome, so one R1b-L11, one R1b-L21, and two K's and H's on the maternal line, interesting.

vettor
10-10-2014, 08:40 PM
Awesome, so one R1b-L11, one R1b-L21, and two K's and H's on the maternal line, interesting.

2 x H's

my wife is plain K1a4 ............she might be part of this ancient line ;)

Gray Fox
10-10-2014, 08:51 PM
Briton/Me
North Sea - 42.96 / 38.25
Atlantic - 28.86 / 24.5
Baltic - 6.47 / 7.79
Eastern Euro - 12.22 / 8.41
West Med - 6.77 / 12.12
West Asian - 1.74 / 5.17
East Med - 0.01 / 0.04
Red Sea -0.97 / 0.66

I only compared with the populations listed.

Wulf Warrior
10-10-2014, 09:19 PM
ME Iron age Briton

1 North_Sea 44.37 42.96
2 Atlantic 20.62 28.86
3 Baltic 9.30 6.47
4 West_Med 8.87 6.77
5 Eastern_Euro 7.96 12.22
6 West_Asian 4.80 1.74
7 Red_Sea 1.32 0.97

BalkanKiwi
10-10-2014, 09:44 PM
Briton/Me

North Sea - 42.96 / 30.84
Atlantic - 28.86 / 25.2
Baltic - 6.47 / 11.65
Eastern Euro - 12.22 / 10.5
West Med - 6.77 / 9.41
West Asian - 1.74 / 4.54
East Med - 0.01 / 6.02
Red Sea -0.97 / 0.22

Leeroy Jenkins
10-11-2014, 12:04 AM
Below is the root mean squared distance between myself and the Iron Age Brit.

Iron_Age_Briton @ 8.672021

ArmandoR1b
10-11-2014, 12:16 PM
Are you referring to the first briton?

The data indicate that ERS389795 was male. The Y-SNP calls don’t show which Y haplogroup ERS389795 belonged to, but they do show that he didn’t belong to haplogroups E, G, I1, J, R1a1, or T1a.
The mt-SNP calls show that ERS389795 belonged to mitochondrial haplogroup K1a1.

The data indicate that ERS389796 was female. The mt-SNP calls show that she belonged to mitochondrial haplogroup H2a2b1.

The data indicate that ERS389797 was female. The mt-SNP calls show that she belonged to mitochondrial haplogroup K1a4a1a2.

The data indicate that ERS389798 was male. It can be inferred from the Y-SNP calls that he belonged to Y haplogroup R1b, and he may have belonged to R1b1a2a1a2c1g2-FGC3903/S5201/Y2890.
The mt-SNP calls show that ERS389798 belonged to mitochondrial haplogroup H1ag1.

It is standard practice to cite your source with your information if the work belongs to someone else. This is from http://genetiker.wordpress.com/ based on the info provided.

evon
10-11-2014, 01:07 PM
Gaussian method.

Using 1 population approximation:
1 Iron_Age_Briton @ 4.820666
2 Ajvide58 @ 12.908382
3 Loschbour @ 19.602007

Least-squares method.

Using 1 population approximation:
1 Iron_Age_Briton @ 7.631104
2 La_Brana-1 @ 22.841095
3 Loschbour @ 23.435015

ADW_1981
10-11-2014, 02:45 PM
I've seen some conflicting information. Was ERS389795 the Briton or the later Anglo-Saxon period?

BalkanKiwi
10-11-2014, 09:29 PM
Slightly off topic question, but what does the Baltic population represent and can it represent Polish ancestry?

loxias
10-14-2014, 01:12 PM
Baltic peaks around the Southern coast of the Baltic Sea, but it doesn't reach very high percentages even in the populations among which it peaks. Basically don't take being xx% Baltic as being xx% Polish (I think Poles only score around 30% Baltic themselves, similar to Lithuanians as well).

Anyway, for the hell of it (with me in bold)
North Sea - 42.96 24.78
Atlantic - 28.86 21.66
Baltic - 6.47 10.63
Eastern Euro - 12.22 7.8
West Med - 6.77 18.53
West Asian - 1.74 4.28
East Med - 0.01 8.07
Red Sea - 0.97 2.6

Not a great fit, as expected.

Interesting to note that the Iron Age Briton's Eastern European is quite a bit higher than his Baltic; a pattern that seems inverted in Britons these days. Perhaps the Eastern European component is more ancient in Western Europe (linked to HGs), while the Baltic one would have been spread by Germanic speakers (unless this sample is actually an early Anglo-Saxon...).

J Man
10-14-2014, 07:59 PM
I've seen some conflicting information. Was ERS389795 the Briton or the later Anglo-Saxon period?

That is exactly what I would like to know. Was ERS389795 a Celt or a Germanic individual?

Jusarius
10-16-2014, 10:03 PM
Iron Age Briton / Me (East Finnish)

North Sea - 42.96 / 31.46
Atlantic - 28.86 / 13.00
Baltic - 6.47 / 19.76
Eastern Euro - 12.22 / 24.37
West Med - 6.77 / 1.59
West Asian - 1.74 / 0
East Med - 0.01 / 0
Red Sea - 0.97 / 0
South Asian 0 / 0.36
Siberian 0 / 7.61
Amerindian 0 / 0.99
Oceanian 0 / 0.85


4 Ancestors Oracle K7

Least-squares method.

Using 1 population approximation:
1 Motala12 @ 11,688244
2 Ajvide58 @ 12,098258
3 Ajvide70 @ 15,780131
4 StoraFörvar11 @ 18,111026
5 La_Brana-1 @ 19,713469
6 Loschbour @ 27,115664
7 Iron_Age_Briton @ 28,262963
8 AG-2 @ 35,294533
9 Gokhem7 @ 50,166275
10 MA-1 @ 50,825531

Gaussian method.
Noise dispersion set to 0,33296

Using 1 population approximation:
1 Ajvide58 @ 7,215927
2 Ajvide70 @ 9,457192
3 StoraFörvar11 @ 13,982434
4 Lezgin @ 18,74421
5 Motala12 @ 19,859153
6 La_Brana-1 @ 20,650705
7 Loschbour @ 21,336803
8 Iron_Age_Briton @ 21,692883
9 AG-2 @ 34,946613
10 MA-1 @ 39,919705

Gray Fox
10-20-2014, 12:34 AM
Felix has just revealed the Hinxton 4 Iron Age Briton's gedmatch. Looks like I'm a pretty good fit on the dodecad 12b..

Iron Age Briton

1 North_European 44.07
2 Atlantic_Med 37.87
3 Gedrosia 10.7
4 Caucasus 5.36
5 Northwest_African 0.71
6 South_Asian 0.65
7 Sub_Saharan 0.64

Myself

1 North_European 42.35
2 Atlantic_Med 37.99
3 Gedrosia 11.05
4 Caucasus 5.84
5 Southwest_Asian 1.83
6 Sub_Saharan 0.69
7 South_Asian 0.17
8 East_African 0.04
9 Northwest_African 0.03

Anglecynn
10-20-2014, 01:02 AM
Felix has just revealed the Hinxton 4 Iron Age Briton's gedmatch. Looks like I'm a pretty good fit on the dodecad 12b..

Iron Age Briton

1 North_European 44.07
2 Atlantic_Med 37.87
3 Gedrosia 10.7
4 Caucasus 5.36
5 Northwest_African 0.71
6 South_Asian 0.65
7 Sub_Saharan 0.64

Myself

1 North_European 42.35
2 Atlantic_Med 37.99
3 Gedrosia 11.05
4 Caucasus 5.84
5 Southwest_Asian 1.83
6 Sub_Saharan 0.69
7 South_Asian 0.17
8 East_African 0.04
9 Northwest_African 0.03

If you look at his results for K15 for example, and look particularly at the high Baltic and low East Euro - The modern population averages for the same region (SE England) sit between the Anglo-Saxons and the Iron Age Briton almost halfway, and it's not dissimilar with the North Sea and Atlantic either - with North Sea being a little higher than the Britons, and the Atlantic a bit lower. And of course the West Med is lower than the Briton's, but again about mid-way between the two. Also Southwest English average seems to be closer to that of the Iron Age Briton which makes sense. To me that smacks of the modern population having substantial contributions of both, as well as a little from afterwards, or during the Roman occupation (East Med for example). Would fit with POBI's own analysis, in which it was not far off 50/50. Of course there are later events...Vikings and Normans and various Flemings, Bretons, Dutch etc to account for as well - but given that they are much of a muchness, they may not be especially visible perhaps.

Silesian
10-20-2014, 02:24 AM
Full credit: Thanks for making this possible.
http://www.fc.id.au/2014/10/hinxton-3-analysis.html
http://v2.gedmatch.com/login1.php
http://eurogenes.blogspot.ca/

Western F999925 sample Hinxton/England R1b L21+, comparing to Eastern R1b CTS-9219+ South Poland.

F999925-Hinnxton sample #4.

Kit Num: F999925
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com
Eurogenes EUtest V2 K15 4-Ancestors Oracle

# Population Percent
1 North_Sea 34.84
2 Atlantic 31.86
3 Baltic 13.89
4 West_Med 6.34
5 Eastern_Euro 5.72
6 West_Asian 4.78
7 South_Asian 1.93

Using 4 populations approximation:
1 Irish + Irish + Irish + North_German @ 4.858814

kit#XXXXX South Poland
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com
Eurogenes EUtest V2 K15 4-Ancestors Oracle


Admix Results (sorted):

# Population Percent
1 Baltic 26.94
2 North_Sea 21.24
3 Atlantic 19.00
4 Eastern_Euro 18.49
5 West_Med 6.70
6 West_Asian 4.69
7 South_Asian 1.57
8 East_Med 1.09

Using 4 populations approximation:
1 East_German + Estonian_Polish + Russian_Smolensk + South_Polish @ 1.769863

MA-1
MA-1
North Sea-2.9
Baltic-4.11
Eastern Euro-34.45
West Asian-0.01
South Asian-28.61
Siberian-4.61
Amerindian-21.16
Oceanian-3.37
North East African-0.79 0

Salkin
10-20-2014, 06:00 AM
Whoa. I didn't realise I was that good of a match to the Hinxton 1, 2 and 3 samples. I don't know if maybe that indicates a major Germanic component in them?

4 Ancestors Oracle
Version 0.97 by Alexandr Burnashev

Data file is D:\software\diydodecad\egk15\data_Eurogenes_K15_an cient_genomes.txt
15 components mode.
Population data has been read. 27 populations found.
Personal data has been read. 20 approximations mode.
Person: Test2.txt
Threshold of components set to 0,4%


Least-squares method.

Using 1 population approximation:
1 Hinxton1 @ 9,951672
2 Hinxton2 @ 10,030846
3 Hinxton3 @ 14,76866
4 La_Brana-1 @ 19,999482
5 Loschbour @ 20,073765
6 Ajvide70 @ 22,483174
7 Ajvide58 @ 22,550866
8 Motala12 @ 30,188171
9 StoraFörvar11 @ 35,336844
10 Gokhem7 @ 44,665324
11 Gokhem2 @ 44,825253
12 AG-2 @ 49,931828
13 Gokhem4 @ 54,940599
14 Sardinian @ 58,053866
15 Oetzi @ 58,308714
16 Lezgin @ 58,832393
17 MA-1 @ 62,771241
18 Stuttgart @ 63,927644
19 Yemenite_Jewish @ 78,136866
20 Australian_Aboriginal @ 86,833914
27 iterations.

Using 2 populations approximation:
1 Hinxton3+Loschbour @ 5,530883
2 Hinxton3+La_Brana-1 @ 6,037786
3 Hinxton1+Loschbour @ 6,351635
4 Hinxton2+Loschbour @ 6,641207
5 Hinxton2+La_Brana-1 @ 7,773215
6 Hinxton1+La_Brana-1 @ 7,988756
7 Hinxton1+Hinxton2 @ 9,810164
8 Hinxton1+Hinxton1 @ 9,951672
9 Hinxton2+Hinxton2 @ 10,030846
10 Ajvide58+Hinxton3 @ 10,407219
11 Ajvide58+Hinxton2 @ 10,949099
12 Ajvide70+Hinxton3 @ 10,955639
13 Ajvide70+Hinxton2 @ 10,972319
14 Ajvide70+Hinxton1 @ 11,114663
15 Ajvide58+Hinxton1 @ 11,282111
16 Hinxton1+Hinxton3 @ 11,963661
17 Hinxton2+Hinxton3 @ 12,105865
18 Hinxton3+Motala12 @ 14,268393
19 Hinxton3+Hinxton3 @ 14,76866
20 Hinxton3+StoraFörvar11 @ 15,145813
378 iterations.

Using 3 populations approximation:
1 50% Hinxton1 +25% Hinxton2 +25% Loschbour @ 4,046105
2 50% Hinxton1 +25% Hinxton1 +25% Loschbour @ 4,126301
3 50% Hinxton2 +25% Hinxton1 +25% Loschbour @ 4,184413
4 50% Hinxton2 +25% Hinxton2 +25% Loschbour @ 4,521219
5 50% Hinxton1 +25% Hinxton3 +25% Loschbour @ 4,663713
6 50% Hinxton2 +25% Hinxton3 +25% Loschbour @ 5,034163
7 50% Hinxton3 +25% La_Brana-1 +25% Loschbour @ 5,260042
8 50% Hinxton3 +25% Loschbour +25% Loschbour @ 5,530883
9 50% Loschbour +25% Hinxton1 +25% Hinxton3 @ 5,621888
10 50% Hinxton2 +25% Hinxton1 +25% La_Brana-1 @ 5,648829
11 50% Hinxton1 +25% Hinxton2 +25% La_Brana-1 @ 5,706211
12 50% Hinxton2 +25% Hinxton2 +25% La_Brana-1 @ 5,749038
13 50% Loschbour +25% Hinxton2 +25% Hinxton3 @ 5,84335
14 50% Hinxton3 +25% Hinxton1 +25% Loschbour @ 5,8478
15 50% Hinxton1 +25% Hinxton1 +25% La_Brana-1 @ 5,916601
16 50% Hinxton1 +25% Hinxton3 +25% La_Brana-1 @ 5,943638
17 50% Hinxton2 +25% Hinxton3 +25% La_Brana-1 @ 5,944708
18 50% Hinxton3 +25% La_Brana-1 +25% La_Brana-1 @ 6,037786
19 50% Hinxton3 +25% Hinxton2 +25% Loschbour @ 6,054005
20 50% Hinxton1 +25% Loschbour +25% Loschbour @ 6,351635
6210 iterations.

Using 4 populations approximation:
1 Hinxton1+Hinxton1+Hinxton2+Loschbour @ 4,046105
2 Hinxton1+Hinxton1+Hinxton1+Loschbour @ 4,126301
3 Hinxton1+Hinxton2+Hinxton2+Loschbour @ 4,184413
4 Hinxton2+Hinxton2+Hinxton2+Loschbour @ 4,521219
5 Hinxton1+Hinxton1+Hinxton3+Loschbour @ 4,663713
6 Hinxton1+Hinxton2+Hinxton3+Loschbour @ 4,759163
7 Hinxton2+Hinxton2+Hinxton3+Loschbour @ 5,034163
8 Hinxton3+Hinxton3+La_Brana-1+Loschbour @ 5,260042
9 Hinxton3+Hinxton3+Loschbour+Loschbour @ 5,530883
10 Hinxton1+Hinxton3+Loschbour+Loschbour @ 5,621888
11 Hinxton1+Hinxton2+Hinxton2+La_Brana-1 @ 5,648829
12 Hinxton1+Hinxton1+Hinxton2+La_Brana-1 @ 5,706211
13 Hinxton2+Hinxton2+Hinxton2+La_Brana-1 @ 5,749038
14 Hinxton1+Hinxton3+La_Brana-1+Loschbour @ 5,752059
15 Hinxton2+Hinxton3+La_Brana-1+Loschbour @ 5,816818
16 Hinxton2+Hinxton3+Loschbour+Loschbour @ 5,84335
17 Hinxton1+Hinxton3+Hinxton3+Loschbour @ 5,8478
18 Hinxton1+Hinxton2+Hinxton3+La_Brana-1 @ 5,868247
19 Hinxton1+Hinxton1+Hinxton1+La_Brana-1 @ 5,916601
20 Hinxton1+Hinxton1+Hinxton3+La_Brana-1 @ 5,943638
21 Hinxton2+Hinxton2+Hinxton3+La_Brana-1 @ 5,944708
22 Hinxton3+Hinxton3+La_Brana-1+La_Brana-1 @ 6,037786
23 Hinxton2+Hinxton3+Hinxton3+Loschbour @ 6,054005
24 Hinxton1+Hinxton1+Loschbour+Loschbour @ 6,351635
25 Ajvide58+Hinxton3+Hinxton3+Loschbour @ 6,373771
26 Hinxton1+Hinxton2+Loschbour+Loschbour @ 6,428652
27 Ajvide70+Hinxton1+Hinxton3+Loschbour @ 6,524925
28 Ajvide70+Hinxton3+Hinxton3+Loschbour @ 6,566613
29 Hinxton1+Hinxton3+Hinxton3+La_Brana-1 @ 6,585605
30 Ajvide70+Hinxton2+Hinxton3+Loschbour @ 6,586895
31 Ajvide58+Hinxton2+Hinxton3+Loschbour @ 6,610101
32 Ajvide58+Hinxton1+Hinxton3+Loschbour @ 6,629157
33 Hinxton2+Hinxton3+Hinxton3+La_Brana-1 @ 6,635848
34 Hinxton2+Hinxton2+Loschbour+Loschbour @ 6,641207
35 Hinxton2+Hinxton3+La_Brana-1+La_Brana-1 @ 6,725731
36 Hinxton1+Hinxton2+La_Brana-1+Loschbour @ 6,73954
37 Hinxton1+Hinxton1+La_Brana-1+Loschbour @ 6,799045
38 Hinxton1+Hinxton3+La_Brana-1+La_Brana-1 @ 6,802661
39 Hinxton2+Hinxton2+La_Brana-1+Loschbour @ 6,812454
40 Ajvide70+Hinxton1+Hinxton2+Loschbour @ 7,000664
8831 iterations.


Gaussian method.
Noise dispersion set to 0,33296

Using 1 population approximation:
1 Hinxton2 @ 4,81987
2 Hinxton1 @ 6,949235
3 Hinxton3 @ 8,445749
4 Ajvide58 @ 13,606758
5 Loschbour @ 17,164481
6 La_Brana-1 @ 17,635214
7 Ajvide70 @ 18,427393
8 Motala12 @ 18,799563
9 StoraFörvar11 @ 21,50688
10 Lezgin @ 22,721668
11 Gokhem7 @ 27,395364
12 Sardinian @ 27,791189
13 Gokhem2 @ 29,133123
14 Oetzi @ 48,247438
15 Gokhem4 @ 61,954362
16 Sakilli @ 67,446553
17 Evens @ 68,365321
18 Yemenite_Jewish @ 77,315518
19 Ethiopian_Ari_cultivator @ 78,184377
20 AG-2 @ 79,600866
27 iterations.

Using 2 populations approximation:
1 Hinxton2+Loschbour @ 4,358626
2 Hinxton2+Hinxton2 @ 4,81987
3 Hinxton1+Hinxton2 @ 5,231433
4 Hinxton3+Loschbour @ 5,356721
5 Hinxton2+La_Brana-1 @ 5,493982
6 Hinxton2+Motala12 @ 5,715353
7 Hinxton1+Loschbour @ 5,909443
8 Hinxton3+La_Brana-1 @ 6,117669
9 Hinxton3+Motala12 @ 6,410943
10 Hinxton2+Hinxton3 @ 6,423305
11 Ajvide70+Hinxton1 @ 6,641285
12 Ajvide70+Hinxton2 @ 6,7899
13 Hinxton1+La_Brana-1 @ 6,829299
14 Ajvide58+Hinxton2 @ 6,848273
15 Hinxton1+Hinxton1 @ 6,949235
16 Hinxton1+Motala12 @ 6,971743
17 Hinxton1+Hinxton3 @ 7,074473
18 Ajvide70+Hinxton3 @ 7,091792
19 Ajvide58+Hinxton3 @ 7,518207
20 Hinxton1+StoraFörvar11 @ 7,625393
378 iterations.

Using 3 populations approximation:
1 50% Hinxton2 +25% Hinxton2 +25% Loschbour @ 3,501194
2 50% Hinxton2 +25% Hinxton1 +25% Loschbour @ 3,589082
3 50% Hinxton2 +25% Hinxton2 +25% Motala12 @ 4,105572
4 50% Hinxton2 +25% Hinxton3 +25% Loschbour @ 4,142891
5 50% Hinxton2 +25% Hinxton1 +25% Motala12 @ 4,185331
6 50% Hinxton1 +25% Hinxton2 +25% Loschbour @ 4,278025
7 50% Hinxton2 +25% Loschbour +25% Loschbour @ 4,358626
8 50% Hinxton2 +25% Hinxton2 +25% La_Brana-1 @ 4,430044
9 50% Hinxton2 +25% Hinxton1 +25% La_Brana-1 @ 4,530516
10 50% Loschbour +25% Hinxton1 +25% Hinxton2 @ 4,547893
11 50% Hinxton2 +25% Loschbour +25% Motala12 @ 4,560474
12 50% Hinxton2 +25% Hinxton3 +25% Motala12 @ 4,665459
13 50% Hinxton3 +25% Hinxton2 +25% Loschbour @ 4,671643
14 50% Hinxton1 +25% Hinxton2 +25% Motala12 @ 4,777593
15 50% Loschbour +25% Hinxton2 +25% Hinxton3 @ 4,839215
16 50% Hinxton2 +25% Hinxton3 +25% La_Brana-1 @ 4,868238
17 50% Hinxton2 +25% Hinxton1 +25% Hinxton2 @ 4,875007
18 50% Hinxton2 +25% La_Brana-1 +25% Loschbour @ 4,9964
19 50% Hinxton3 +25% Hinxton1 +25% Loschbour @ 5,102524
20 50% Hinxton1 +25% Hinxton2 +25% La_Brana-1 @ 5,111624
9828 iterations.

Using 4 populations approximation:
1 Hinxton2+Hinxton2+Hinxton2+Loschbour @ 3,501194
2 Hinxton1+Hinxton2+Hinxton2+Loschbour @ 3,589082
3 Hinxton2+Hinxton2+Hinxton2+Motala12 @ 4,105572
4 Hinxton2+Hinxton2+Hinxton3+Loschbour @ 4,142891
5 Hinxton1+Hinxton2+Hinxton2+Motala12 @ 4,185331
6 Hinxton1+Hinxton1+Hinxton2+Loschbour @ 4,278025
7 Hinxton2+Hinxton2+Loschbour+Loschbour @ 4,358626
8 Hinxton1+Hinxton2+Hinxton3+Loschbour @ 4,377681
9 Hinxton2+Hinxton2+Hinxton2+La_Brana-1 @ 4,430044
10 Hinxton1+Hinxton2+Hinxton2+La_Brana-1 @ 4,530516
11 Hinxton1+Hinxton2+Loschbour+Loschbour @ 4,547893
12 Hinxton2+Hinxton2+Loschbour+Motala12 @ 4,560474
13 Hinxton2+Hinxton2+Hinxton3+Motala12 @ 4,665459
14 Hinxton2+Hinxton3+Hinxton3+Loschbour @ 4,671643
15 Hinxton1+Hinxton2+Loschbour+Motala12 @ 4,746705
16 Hinxton1+Hinxton1+Hinxton2+Motala12 @ 4,777593
17 Hinxton2+Hinxton2+Hinxton2+Hinxton2 @ 4,81987
18 Hinxton2+Hinxton3+Loschbour+Loschbour @ 4,839215
19 Hinxton2+Hinxton2+Hinxton3+La_Brana-1 @ 4,868238
20 Hinxton1+Hinxton2+Hinxton3+Motala12 @ 4,874817
21 Hinxton1+Hinxton2+Hinxton2+Hinxton2 @ 4,875007
22 Hinxton2+Hinxton2+La_Brana-1+Loschbour @ 4,9964
23 Hinxton2+Hinxton3+Loschbour+Motala12 @ 5,003966
24 Hinxton1+Hinxton2+Hinxton3+La_Brana-1 @ 5,100607
25 Hinxton1+Hinxton3+Hinxton3+Loschbour @ 5,102524
26 Hinxton1+Hinxton1+Hinxton2+La_Brana-1 @ 5,111624
27 Hinxton2+Hinxton3+Hinxton3+Motala12 @ 5,129868
28 Hinxton1+Hinxton2+La_Brana-1+Loschbour @ 5,182854
29 Ajvide70+Hinxton1+Hinxton2+Loschbour @ 5,184913
30 Ajvide70+Hinxton1+Hinxton2+Hinxton2 @ 5,190161
31 Hinxton1+Hinxton1+Hinxton2+Hinxton2 @ 5,231433
32 Hinxton3+Hinxton3+Hinxton3+Loschbour @ 5,23621
33 Ajvide70+Hinxton1+Hinxton1+Loschbour @ 5,238918
34 Hinxton1+Hinxton1+Hinxton3+Loschbour @ 5,265001
35 Hinxton1+Hinxton2+Hinxton2+StoraFörvar11 @ 5,286207
36 Hinxton2+Hinxton3+Hinxton3+La_Brana-1 @ 5,297934
37 Ajvide70+Hinxton2+Hinxton2+Hinxton2 @ 5,312402
38 Ajvide70+Hinxton1+Hinxton1+Hinxton2 @ 5,31318
39 Hinxton2+Hinxton3+La_Brana-1+Loschbour @ 5,326752
40 Hinxton3+Hinxton3+Loschbour+Loschbour @ 5,356721
27405 iterations.

Gray Fox
10-20-2014, 04:11 PM
Eurogenes K15 comparison.

Briton:

1 North_Sea 34.84
2Atlantic 31.86
3Baltic 13.89
4West_Med 6.34
5Eastern_Euro 5.72
6West_Asian 4.78
7South_Asian 1.93
8Sub-Saharan 0.51
9Siberian 0.13

Irish + Irish + Irish + North_German @ 4.858814

Myself:

1 North_Sea 38.25
2 Atlantic 24.50
3 West_Med 12.12
4 Eastern_Euro 8.41
5 Baltic 7.79
6 West_Asian 5.17
7 South_Asian 1.90

Orcadian + Spanish_Galicia + West_Norwegian + West_Norwegian @ 5.182370

ADW_1981
10-20-2014, 05:46 PM
If a Mod could change the title to Hinxton-1 or Anglo Saxon instead of Iron Age Briton, that would be swell.
Thanks in advance

ADW_1981
10-20-2014, 05:48 PM
Whoa. I didn't realise I was that good of a match to the Hinxton 1, 2 and 3 samples. I don't know if maybe that indicates a major Germanic component in them?


Yes, it's because those 3 are actually the Anglo-Saxon results. Before all the data was thoroughly analyzed it was first interpreted that this was the Iron Age sample. It doesn't surprise me a Swede would be close to the AS. The Iron Age sample is closest to modern Irish

Salkin
10-20-2014, 06:00 PM
Yes, it's because those 3 are actually the Anglo-Saxon results. Before all the data was thoroughly analyzed it was first interpreted that this was the Iron Age sample. It doesn't surprise me a Swede would be close to the AS. The Iron Age sample is closest to modern Irish

Oops. Thanks. Is there anywhere I could grab the updated results to compare to the Iron Age sample?

Gray Fox
10-20-2014, 07:09 PM
Oops. Thanks. Is there anywhere I could grab the updated results to compare to the Iron Age sample?

Hinxton 4's (Iron Age) gedmatch F999925.

Salkin
10-20-2014, 08:47 PM
Hm. Thanks. Seems to be a pretty limited match, but then perhaps that makes sense since it is not a match to my Germanicity.

Chr Start Location End Location Centimorgans (cM) SNPs
22 19707334 21601250 4.2 247
Largest segment = 4.2 cM
Total of segments > 2.5 cM = 4.2 cM

Leeroy Jenkins
10-20-2014, 09:26 PM
Here are two K13 (http://www.filedropper.com/ancientbritoraclek13_1) and K15 (http://www.filedropper.com/ancientbritoraclek15v4) Excel-based spreadsheets that function as the basic Oracle tool at GEDMatch. They can be used to compare your results to those of the first 4 Hinxton samples. I posted the K15 version in a previous thread, but this is the updated version that includes the latest sample. Below are my results for K13 and K15, respectively:

http://i61.tinypic.com/vrg7jb.jpg

http://i58.tinypic.com/wckc4i.jpg

Anglecynn
10-20-2014, 09:30 PM
Here are two K13 (http://www.filedropper.com/ancientbritoraclek13_1) and K15 (http://www.filedropper.com/ancientbritoraclek15v4) Excel-based spreadsheets that can be used to compared your results to those of the first 4 Hinxton samples. I posted the K15 version in a previous thread, but this is the updated version that includes the latest sample. Below are my results for K13 and K15, respectively:

http://i61.tinypic.com/vrg7jb.jpg

http://i58.tinypic.com/wckc4i.jpg

I think you may have uploaded the old one, for K13 at least, as there are only the first 3 samples included. Awesome spreadsheet though, thanks!

Anglecynn
10-20-2014, 10:16 PM
Here's my family results using K15:

Me:
Hinxton 1: 10.05
Hinxton 2: 11.41
Hinxton 3: 14.95
Hinxton 4: 9.05

I'm slightly closer to the Briton in this one, but fairly distant to all of them. It doesn't seem that the Britons and Anglo-Saxons were all that different, but the Britons more southern and less purely NW European.

Dad:

Hinxton 1: 10.16
Hinxton 2: 10.71
Hinxton 3: 14.64
Hinxton 4: 10.84

My Dad is pretty equidistant between two of the Anglo-Saxons and one of the Britons but further from one of the Anglo-Saxons.

Paternal Grandfather:

Hinxton 1: 10.42
Hinxton 2: 10.61
Hinxton 3: 14.50
Hinxton 4: 8.80

Noticeably closer to the Briton, i think because he has less med but still a lot of Baltic.

Paternal Grandmother:

Hinxton 1: 8.56
Hinxton 2: 10.15
Hinxton 3: 12.81
Hinxton 4: 8.93

Closest of all my tested family to any of the samples, about equidistant between one of the Anglo-Saxons and one of the Britons.

Mother:

Hinxton 1: 14.98
Hinxton 2: 16.85
Hinxton 3: 19.04
Hinxton 4: 9.76

Significantly closer to the Briton, which makes sense in theory as she has a bit of Welsh and Scottish ancestry, and all of her mother's ancestry is from southern England south of the Thames. Although i think the differences are mainly due to her (and me) having a strong pull towards central Europe (very high Baltic, higher than average West Med and also high West Asian).

Maternal Aunt:

Hinxton 1: 12.05
Hinxton 2: 13.54
Hinxton 3: 16.18
Hinxton 4: 9.4

Similar to my mother, but a bit closer to all of them as she inherited more of the NW-European components.

-------------
It's interesting how Hinxton 3 always stands out a bit from 1 & 2, different familial/tribal grouping perhaps?

It seems to be more of a competition as to who is the most British given that both the Anglo-Saxons and Britons seem like more and less north-western British by modern standards. I wonder what could explain the high Baltic in the Briton compared to the Anglo-Saxon. I would have expected the Anglo-Saxons to have a lot of both, e.g 12% of each - it seems the two components are a lot more evened out in modern NW European populations.

Anglecynn
10-20-2014, 11:10 PM
Here's Hinxton4's relationship to the three Anglo-Saxons:

Hinxton1: 12.94
Hinxton2: 13.42
Hinxton3: 16.04

Here is Hinxton 1's relationship to the two other Anglo-Saxons and the Iron Age Briton:

Hinxton2: 3.28
Hinxton3: 7.51
Hinxton4: 12.72

Hinxton 2's relationship to the other two Anglo-Saxons and the Iron Age Briton:

Hinxton1: 3.14
Hinxton3: 7.15
Hinxton4: 12.63

Hinxton 3's relationship to the other two Anglo-Saxons and the Iron Age Briton:

Hinxton1: 7.04
Hinxton2: 7
Hinxton4: 14.77

It's interesting, so Hinxton 1 & Hinxton 2 look like they are part of the same tribal group in terms of components. Hinxton 3 looks like a member of another tribal group but a somewhat closely related one. Hinxton 4 as a Briton is distant from all of them but more closely related to the tribal group that 1 & 2 look like they are members of. Hinxton 3 has a lot less Baltic/East European component than the other Anglo-Saxons.

Going by GEDmatch's 1 to 1 comparison, Hinxton 2 and 3 are not recently related..don't know about 1 as it's not on GEDmatch. Hinxton 4 and 2 are not recently related. Hinxton 3 and 4 are not recently related. It's a shame Hinxton 1 can't be put on GEDmatch.

MitchellSince1893
10-21-2014, 01:08 AM
Eurogenes K15

Sample----Father------Uncle-----Mother-----Me
Hinxton1-- 13.16-------9.44-------8.19------12.05
Hinxton2-- 13.93------10.39------ 9.05------12.97
Hinxton3-- 17.09------10.27------12.72-----17.71
Hinxton4----5.75------11.2-------14.34------6.68

My father and I are closest to Hinxton 4 while my paternal half uncle and mother are closest to Hixnton 1.

Hok
10-21-2014, 06:39 AM
My relationship:

K15.

Hinxton1 9,004296
Hinxton2 10,507352
Hinxton3 11,814723
Hinxton4 17,225174

Gaussian method

Hinxton1 7,008985
Hinxton2 7,6392343
Hinxton3 7,834665
Hinxton4 9,11303

K13

Hinxton1 6,227122
Hinxton4 6,856624
Hinxton3 11,336572
Hinxton2 12,240586

Gaussian method

Hinxton3 7,542924
Hinxton2 8,729069
Hinxton4 11,062767
Hinxton1 11,609786

Tolan
10-21-2014, 09:25 AM
With 4 Ancestors Oracle Version 0.97 by Alexandr Burnashev

I added this following lines into the file: data_Eurogenes_K15_ancient_genomes.txt


Hinxton1 40,82 27,4 6,42 12,73 6,7 4,12 0,01 1,41 0 0 0 0,01 0 0,3 0
Hinxton2 43,07 28,5 7 12,41 5,01 2,82 0,01 0 0,76 0 0 0,02 0,4 0 0
Hinxton3 45,59 28,32 3,38 8,57 5,26 6,74 0,03 0,15 0,32 0 0 0,08 0 0,82 0,76
Hinxton4 34,84 31,86 13,89 5,72 6,34 4,78 0 0 1,93 0 0 0 0 0 0
Iron_Briton 42,96 28,86 6,47 12,22 6,77 1,74 0,01 0,97 0 0 0 0 0 0 0

(I hope I did not make any mistakes!)

So, here my results:
Least-squares method.

Using 1 population approximation:
1 Hinxton4 @ 15,376153
2 Hinxton1 @ 20,733889
3 Iron_Briton @ 22,159795
4 Hinxton2 @ 22,875565
5 Hinxton3 @ 25,725465
6 La_Brana-1 @ 25,961666
7 Ajvide58 @ 29,721771
8 Gokhem2 @ 31,124143
9 Ajvide70 @ 31,14917
10 Gokhem7 @ 37,16104

Using 2 populations approximation:
1 Gokhem2+Hinxton4 @ 11,272895
2 Gokhem2+Hinxton2 @ 12,334674
3 Gokhem2+Hinxton1 @ 12,876596

Salkin
10-21-2014, 09:47 AM
K15:

Hinxton #1 9,9681339368
Hinxton #2 9,9065536133
Hinxton #3 14,7413463306
Hinxton #4 6,0820882762

Not far from #4 at all. Huh.

Salkin
10-21-2014, 09:52 AM
Using Tolan's data for the 4 Ancestors Oracle:

4 Ancestors Oracle
Version 0.97 by Alexandr Burnashev

Data file is D:\software\diydodecad\egk15\data_Eurogenes_K15_an cient_genomes.txt
15 components mode.
Population data has been read. 29 populations found.
Personal data has been read. 20 approximations mode.
Person: Test1
Threshold of components set to 0,4%


Least-squares method.

Using 1 population approximation:
1 Hinxton4 @ 6,066973
2 Hinxton1 @ 9,951672
3 Hinxton2 @ 10,030846
4 Iron_Briton @ 10,294447
5 Hinxton3 @ 14,76866
6 La_Brana-1 @ 19,999482
7 Loschbour @ 20,073765
8 Ajvide70 @ 22,483174
9 Ajvide58 @ 22,550866
10 Motala12 @ 30,188171
11 StoraFörvar11 @ 35,336844
12 Gokhem7 @ 44,665324
13 Gokhem2 @ 44,825253
14 AG-2 @ 49,931828
15 Gokhem4 @ 54,940599
16 Sardinian @ 58,053866
17 Oetzi @ 58,308714
18 Lezgin @ 58,832393
19 MA-1 @ 62,771241
20 Stuttgart @ 63,927644
29 iterations.

Using 2 populations approximation:
1 Hinxton2+Hinxton4 @ 4,94149
2 Hinxton4+Iron_Briton @ 5,012338
3 Hinxton1+Hinxton4 @ 5,112204
4 Hinxton3+Loschbour @ 5,530883
5 Hinxton3+La_Brana-1 @ 6,037786
6 Hinxton4+Hinxton4 @ 6,066973
7 Iron_Briton+Loschbour @ 6,108084
8 Hinxton1+Loschbour @ 6,351635
9 Hinxton2+Loschbour @ 6,641207
10 Iron_Briton+La_Brana-1 @ 7,271648
11 Hinxton2+La_Brana-1 @ 7,773215
12 Hinxton1+La_Brana-1 @ 7,988756
13 Hinxton3+Hinxton4 @ 8,000365
14 Hinxton1+Hinxton2 @ 9,810164
15 Hinxton1+Hinxton1 @ 9,951672
16 Hinxton4+La_Brana-1 @ 9,954483
17 Hinxton1+Iron_Briton @ 9,963694
18 Ajvide70+Hinxton4 @ 9,977963
19 Ajvide58+Hinxton4 @ 9,99089
20 Hinxton2+Hinxton2 @ 10,030846
435 iterations.

Using 3 populations approximation:
1 50% Iron_Briton +25% Hinxton4 +25% Loschbour @ 2,272737
2 50% Hinxton1 +25% Hinxton4 +25% Loschbour @ 2,681075
3 50% Hinxton2 +25% Hinxton4 +25% Loschbour @ 2,865519
4 50% Iron_Briton +25% Hinxton4 +25% La_Brana-1 @ 3,028977
5 50% Hinxton4 +25% Iron_Briton +25% La_Brana-1 @ 3,475986
6 50% Hinxton2 +25% Hinxton4 +25% La_Brana-1 @ 3,548957
7 50% Hinxton4 +25% Hinxton3 +25% La_Brana-1 @ 3,660727
8 50% Hinxton4 +25% Ajvide70 +25% Iron_Briton @ 3,674264
9 50% Hinxton4 +25% Ajvide58 +25% Iron_Briton @ 3,679375
10 50% Hinxton4 +25% Hinxton2 +25% La_Brana-1 @ 3,779696
11 50% Hinxton1 +25% Hinxton4 +25% La_Brana-1 @ 3,892547
12 50% Hinxton1 +25% Iron_Briton +25% Loschbour @ 3,939537
13 50% Iron_Briton +25% Hinxton1 +25% Loschbour @ 3,953326
14 50% Hinxton4 +25% Ajvide58 +25% Hinxton2 @ 3,992978
15 50% Hinxton4 +25% Iron_Briton +25% Loschbour @ 4,013972
16 50% Hinxton4 +25% Hinxton1 +25% La_Brana-1 @ 4,023848
17 50% Hinxton4 +25% Ajvide70 +25% Hinxton2 @ 4,040187
18 50% Hinxton1 +25% Hinxton2 +25% Loschbour @ 4,046105
19 50% Hinxton1 +25% Hinxton1 +25% Loschbour @ 4,126301
20 50% Iron_Briton +25% Iron_Briton +25% Loschbour @ 4,165679
6695 iterations.

Using 4 populations approximation:
1 Hinxton4+Iron_Briton+Iron_Briton+Loschbour @ 2,272737
2 Hinxton1+Hinxton4+Iron_Briton+Loschbour @ 2,317137
3 Hinxton2+Hinxton4+Iron_Briton+Loschbour @ 2,507622
4 Hinxton1+Hinxton2+Hinxton4+Loschbour @ 2,608219
5 Hinxton1+Hinxton1+Hinxton4+Loschbour @ 2,681075
6 Hinxton2+Hinxton2+Hinxton4+Loschbour @ 2,865519
7 Hinxton4+Iron_Briton+Iron_Briton+La_Brana-1 @ 3,028977
8 Hinxton3+Hinxton4+Iron_Briton+Loschbour @ 3,081674
9 Hinxton1+Hinxton3+Hinxton4+Loschbour @ 3,218148
10 Hinxton2+Hinxton4+Iron_Briton+La_Brana-1 @ 3,238024
11 Hinxton3+Hinxton4+Iron_Briton+La_Brana-1 @ 3,328677
12 Hinxton1+Hinxton4+Iron_Briton+La_Brana-1 @ 3,36982
13 Hinxton2+Hinxton3+Hinxton4+Loschbour @ 3,394985
14 Hinxton4+Hinxton4+Iron_Briton+La_Brana-1 @ 3,475986
15 Hinxton2+Hinxton2+Hinxton4+La_Brana-1 @ 3,548957
16 Hinxton1+Hinxton2+Hinxton4+La_Brana-1 @ 3,60231
17 Hinxton2+Hinxton3+Hinxton4+La_Brana-1 @ 3,646446
18 Hinxton3+Hinxton4+Hinxton4+La_Brana-1 @ 3,660727
19 Ajvide70+Hinxton4+Hinxton4+Iron_Briton @ 3,674264
20 Ajvide58+Hinxton4+Hinxton4+Iron_Briton @ 3,679375
21 Hinxton1+Hinxton3+Hinxton4+La_Brana-1 @ 3,730555
22 Hinxton2+Hinxton4+Hinxton4+La_Brana-1 @ 3,779696
23 Hinxton1+Hinxton1+Hinxton4+La_Brana-1 @ 3,892547
24 Hinxton1+Hinxton1+Iron_Briton+Loschbour @ 3,939537
25 Hinxton1+Iron_Briton+Iron_Briton+Loschbour @ 3,953326
26 Ajvide58+Hinxton2+Hinxton4+Hinxton4 @ 3,992978
27 Hinxton4+Hinxton4+Iron_Briton+Loschbour @ 4,013972
28 Hinxton1+Hinxton2+Iron_Briton+Loschbour @ 4,021064
29 Hinxton1+Hinxton4+Hinxton4+La_Brana-1 @ 4,023848
30 Ajvide70+Hinxton2+Hinxton4+Hinxton4 @ 4,040187
31 Hinxton1+Hinxton1+Hinxton2+Loschbour @ 4,046105
32 Hinxton1+Hinxton1+Hinxton1+Loschbour @ 4,126301
33 Iron_Briton+Iron_Briton+Iron_Briton+Loschbour @ 4,165679
34 Hinxton1+Hinxton2+Hinxton2+Loschbour @ 4,184413
35 Hinxton2+Iron_Briton+Iron_Briton+Loschbour @ 4,193113
36 Hinxton2+Hinxton4+Hinxton4+Loschbour @ 4,257736
37 Ajvide58+Hinxton3+Hinxton4+Hinxton4 @ 4,261168
38 Ajvide70+Hinxton1+Hinxton4+Hinxton4 @ 4,262043
39 Hinxton1+Hinxton4+Hinxton4+Loschbour @ 4,271257
40 Hinxton2+Hinxton2+Iron_Briton+Loschbour @ 4,314129
9997 iterations.


Gaussian method.
Noise dispersion set to 0,33296

Using 1 population approximation:
1 Hinxton4 @ 3,807469
2 Hinxton2 @ 4,81987
3 Iron_Briton @ 6,404824
4 Hinxton1 @ 6,949235
5 Hinxton3 @ 8,445749
6 Ajvide58 @ 13,606758
7 Loschbour @ 17,164481
8 La_Brana-1 @ 17,635214
9 Ajvide70 @ 18,427393
10 Motala12 @ 18,799563
11 StoraFörvar11 @ 21,50688
12 Lezgin @ 22,721668
13 Gokhem7 @ 27,395364
14 Sardinian @ 27,791189
15 Gokhem2 @ 29,133123
16 Oetzi @ 48,247438
17 Gokhem4 @ 61,954362
18 Sakilli @ 67,446553
19 Evens @ 68,365321
20 Yemenite_Jewish @ 77,315518
29 iterations.

Using 2 populations approximation:
1 Hinxton4+Iron_Briton @ 2,930746
2 Hinxton2+Hinxton4 @ 3,471484
3 Hinxton1+Hinxton4 @ 3,58615
4 Hinxton4+Hinxton4 @ 3,807469
5 Hinxton2+Loschbour @ 4,358626
6 Hinxton4+Loschbour @ 4,541236
7 Hinxton3+Hinxton4 @ 4,720624
8 Hinxton4+Motala12 @ 4,795427
9 Hinxton2+Hinxton2 @ 4,81987
10 Hinxton2+Iron_Briton @ 4,842146
11 Hinxton1+Hinxton2 @ 5,231433
12 Hinxton3+Loschbour @ 5,356721
13 Hinxton4+La_Brana-1 @ 5,377478
14 Hinxton2+La_Brana-1 @ 5,493982
15 Iron_Briton+Loschbour @ 5,590535
16 Hinxton2+Motala12 @ 5,715353
17 Hinxton1+Loschbour @ 5,909443
18 Hinxton3+La_Brana-1 @ 6,117669
19 Ajvide70+Iron_Briton @ 6,326643
20 Iron_Briton+Iron_Briton @ 6,404824
435 iterations.

Using 3 populations approximation:
1 50% Hinxton4 +25% Iron_Briton +25% Motala12 @ 2,417667
2 50% Iron_Briton +25% Hinxton4 +25% Loschbour @ 2,828277
3 50% Hinxton4 +25% Iron_Briton +25% Loschbour @ 2,892718
4 50% Hinxton4 +25% Hinxton4 +25% Iron_Briton @ 2,915028
5 50% Hinxton4 +25% Hinxton1 +25% Motala12 @ 2,93024
6 50% Hinxton4 +25% Iron_Briton +25% Iron_Briton @ 2,930746
7 50% Iron_Briton +25% Hinxton4 +25% Motala12 @ 2,94397
8 50% Hinxton4 +25% Hinxton4 +25% Motala12 @ 2,987056
9 50% Hinxton4 +25% Hinxton2 +25% Iron_Briton @ 3,050268
10 50% Hinxton4 +25% Hinxton2 +25% Motala12 @ 3,082698
11 50% Hinxton2 +25% Hinxton4 +25% Loschbour @ 3,21094
12 50% Hinxton4 +25% Hinxton1 +25% Hinxton4 @ 3,246164
13 50% Hinxton4 +25% Hinxton1 +25% Loschbour @ 3,249661
14 50% Hinxton4 +25% Hinxton1 +25% Iron_Briton @ 3,287784
15 50% Hinxton2 +25% Iron_Briton +25% Loschbour @ 3,292995
16 50% Hinxton4 +25% Hinxton2 +25% Loschbour @ 3,363311
17 50% Hinxton4 +25% Hinxton1 +25% Hinxton2 @ 3,36826
18 50% Hinxton4 +25% Hinxton2 +25% Hinxton4 @ 3,416051
19 50% Hinxton2 +25% Hinxton4 +25% Motala12 @ 3,459129
20 50% Hinxton2 +25% Hinxton4 +25% Hinxton4 @ 3,471484
10360 iterations.

Using 4 populations approximation:
1 Hinxton4+Hinxton4+Iron_Briton+Motala12 @ 2,417667
2 Hinxton2+Hinxton4+Iron_Briton+Loschbour @ 2,775607
3 Hinxton4+Iron_Briton+Iron_Briton+Loschbour @ 2,828277
4 Hinxton4+Hinxton4+Iron_Briton+Loschbour @ 2,892718
5 Hinxton4+Hinxton4+Hinxton4+Iron_Briton @ 2,915028
6 Hinxton1+Hinxton4+Hinxton4+Motala12 @ 2,93024
7 Hinxton4+Hinxton4+Iron_Briton+Iron_Briton @ 2,930746
8 Hinxton4+Iron_Briton+Iron_Briton+Motala12 @ 2,94397
9 Hinxton4+Hinxton4+Hinxton4+Motala12 @ 2,987056
10 Hinxton2+Hinxton4+Iron_Briton+Motala12 @ 2,9931
11 Hinxton2+Hinxton4+Hinxton4+Iron_Briton @ 3,050268
12 Hinxton2+Hinxton4+Hinxton4+Motala12 @ 3,082698
13 Hinxton1+Hinxton2+Hinxton4+Loschbour @ 3,144531
14 Hinxton2+Hinxton2+Hinxton4+Loschbour @ 3,21094
15 Hinxton1+Hinxton4+Iron_Briton+Loschbour @ 3,212283
16 Hinxton1+Hinxton4+Hinxton4+Hinxton4 @ 3,246164
17 Hinxton1+Hinxton4+Hinxton4+Loschbour @ 3,249661
18 Hinxton1+Hinxton4+Hinxton4+Iron_Briton @ 3,287784
19 Hinxton2+Hinxton2+Iron_Briton+Loschbour @ 3,292995
20 Hinxton2+Hinxton4+Hinxton4+Loschbour @ 3,363311
21 Hinxton1+Hinxton2+Hinxton4+Hinxton4 @ 3,36826
22 Hinxton1+Hinxton4+Iron_Briton+Motala12 @ 3,374475
23 Hinxton1+Hinxton2+Hinxton4+Motala12 @ 3,394595
24 Hinxton2+Hinxton4+Hinxton4+Hinxton4 @ 3,416051
25 Hinxton2+Hinxton2+Hinxton4+Motala12 @ 3,459129
26 Hinxton2+Hinxton2+Hinxton4+Hinxton4 @ 3,471484
27 Hinxton2+Hinxton2+Hinxton2+Loschbour @ 3,501194
28 Hinxton1+Hinxton1+Hinxton4+Loschbour @ 3,534673
29 Hinxton3+Hinxton4+Hinxton4+Motala12 @ 3,578955
30 Hinxton1+Hinxton1+Hinxton4+Hinxton4 @ 3,58615
31 Hinxton1+Hinxton2+Hinxton2+Loschbour @ 3,589082
32 Hinxton3+Hinxton4+Iron_Briton+Loschbour @ 3,6071
33 Hinxton2+Hinxton2+Hinxton4+Iron_Briton @ 3,661195
34 Hinxton2+Hinxton4+Iron_Briton+Iron_Briton @ 3,67288
35 Hinxton4+Iron_Briton+Loschbour+Motala12 @ 3,685789
36 Hinxton3+Hinxton4+Iron_Briton+Motala12 @ 3,721341
37 Hinxton1+Hinxton1+Hinxton4+Motala12 @ 3,735655
38 Hinxton2+Iron_Briton+Iron_Briton+Loschbour @ 3,763418
39 Hinxton4+Iron_Briton+Iron_Briton+Iron_Briton @ 3,769372
40 Hinxton4+Hinxton4+Hinxton4+Hinxton4 @ 3,807469
35197 iterations.

Gray Fox
10-21-2014, 04:20 PM
To anyone who is reading: Could someone please do the run which requires the spreadsheet software? My computer didn't come with said software and I am suspect of downloading any free varieties found on the web. K15 data is fine since that seems to be the preferred method.

Thanks in advance.

I'm not sure what data is required, so here is the complete run..

1 North_Sea 38.25
2 Atlantic 24.50
3 West_Med 12.12
4 Eastern_Euro 8.41
5 Baltic 7.79
6 West_Asian 5.17
7 South_Asian 1.90

Oracle 4

Least-squares method.

Using 1 population approximation:
1 Southwest_English @ 6.446539
2 Orcadian @ 7.056460
3 Southeast_English @ 7.965423
4 North_Dutch @ 7.973306
5 West_German @ 8.647278
6 Danish @ 8.906894
7 West_Scottish @ 8.975426
8 Irish @ 9.306601
9 Norwegian @ 9.353287
10 West_Norwegian @ 9.603374
11 South_Dutch @ 10.287350
12 North_German @ 10.633010
13 Swedish @ 11.383990
14 French @ 13.039504
15 North_Swedish @ 14.667454
16 East_German @ 16.885431
17 Spanish_Galicia @ 21.101969
18 Southwest_Finnish @ 21.189005
19 Hungarian @ 21.925476
20 Spanish_Cataluna @ 22.234314

Using 2 populations approximation:
1 50% Orcadian +50% West_German @ 5.333855


Using 3 populations approximation:
1 50% Orcadian +25% Spanish_Galicia +25% West_Norwegian @ 5.244799


Using 4 populations approximation:
1 Orcadian + Spanish_Galicia + West_Norwegian + West_Norwegian @ 5.182370
2 Orcadian + Orcadian + Spanish_Galicia + West_Norwegian @ 5.244799
3 Orcadian + Orcadian + Southwest_English + West_German @ 5.257740
4 French + Orcadian + Orcadian + West_Norwegian @ 5.303032
5 Orcadian + Orcadian + West_German + West_German @ 5.333855
6 Orcadian + Southwest_English + West_German + West_Norwegian @ 5.353181
7 French + Orcadian + Southwest_English + West_Norwegian @ 5.360732
8 Southwest_English + Southwest_English + West_German + West_Norwegian @ 5.370756
9 French + Norwegian + Orcadian + Orcadian @ 5.387534
10 Orcadian + Southwest_English + Southwest_English + West_German @ 5.412223
11 Norwegian + Orcadian + Spanish_Galicia + West_Norwegian @ 5.427060
12 French + Southwest_English + West_Norwegian + West_Norwegian @ 5.467224
13 Norwegian + Orcadian + Orcadian + Spanish_Galicia @ 5.469786
14 Norwegian + Orcadian + Southwest_English + West_German @ 5.473818
15 Orcadian + Portuguese + West_Norwegian + West_Norwegian @ 5.479328
16 French + Orcadian + West_German + West_Norwegian @ 5.526408
17 Orcadian + Orcadian + Orcadian + West_German @ 5.533591
18 French + Orcadian + West_Norwegian + West_Norwegian @ 5.556282
19 French + Norwegian + Orcadian + Southwest_English @ 5.596510
20 Orcadian + Southwest_English + West_German + West_German @ 5.611505

Salkin
10-21-2014, 08:10 PM
To anyone who is reading: Could someone please do the run which requires the spreadsheet software? My computer didn't come with said software and I am suspect of downloading any free varieties found on the web. K15 data is fine since that seems to be the preferred method.

Just the initial percentages needed. Here's the result I get from your figures:

Hinxton #1 8,1333932087
Hinxton #2 9,8711810044
Hinxton #3 10,8811192793
Hinxton #4 12,0713286817

Gray Fox
10-21-2014, 08:21 PM
Just the initial percentages needed. Here's the result I get from your figures:

Hinxton #1 8,1333932087
Hinxton #2 9,8711810044
Hinxton #3 10,8811192793
Hinxton #4 12,0713286817

Many thanks to you, sir! I'm actually surprised by the distance. You plot much closer than I do and as you have mentioned have much more Germanic vibe.

Salkin
10-22-2014, 05:28 PM
It is kind of mystifying. I wonder if it might support the notion I've often heard repeated that there isn't really such a thing as "Celtic DNA" and Germanics and Celts were never very genetically disparate, both being branches off of the same PIE-speaker tree. This notion is usually accompanied by one stating that the "Celtification" of Britain was more one of linguistic and cultural assimilation than actual genetic turnover, in which case old British DNA stuck around and might not be very similar to the original Celts from the Hallstatt or La Tene cultures.

By extension one might wonder what the Scandinavian population's provenance is. I always figured it was very nearly exclusively Germanic, especially in Sweden and Norway given their relative geographic isolation, maybe with a bit of Saami admixture. Migrations did seem to happen pretty frequently between all sorts of European locales, though...

dp
10-22-2014, 05:39 PM
That may be the case. I remember reading that Norwegian "vikings" were distinct from other "vikings" (such as Danish) and these others were more similar to the Anglo-Saxons than those from Norway.
dp :-)

Anglecynn
10-22-2014, 06:22 PM
It is kind of mystifying. I wonder if it might support the notion I've often heard repeated that there isn't really such a thing as "Celtic DNA" and Germanics and Celts were never very genetically disparate, both being branches off of the same PIE-speaker tree. This notion is usually accompanied by one stating that the "Celtification" of Britain was more one of linguistic and cultural assimilation than actual genetic turnover, in which case old British DNA stuck around and might not be very similar to the original Celts from the Hallstatt or La Tene cultures.

By extension one might wonder what the Scandinavian population's provenance is. I always figured it was very nearly exclusively Germanic, especially in Sweden and Norway given their relative geographic isolation, maybe with a bit of Saami admixture. Migrations did seem to happen pretty frequently between all sorts of European locales, though...

Interestingly both Ajvide58 (5000ybp Sweden) & Motala-12 (7000ybp Sweden) are slightly closer to the Britons than they are to the Anglo-Saxons, although fairly distant to all of them, don't know why that would be though. Of course there is a big time-gap between both and the period these individuals are from, but it's interesting to compare.

Ajvide58
Hinxton 1(Briton): 22.26
Hinxton 2(Anglo-Saxon): 22.63
Hinxton 3(Anglo-Saxon): 27.76
Hinxton 4(Briton): 21.64

Motala-12
Hinxton 1(Briton): 30.34
Hinxton 2(Anglo-Saxon): 31.32
Hinxton 3(Anglo-Saxon): 35.41
Hinxton 4(Briton): 31.77

MitchellSince1893
10-23-2014, 04:16 PM
The k13 comparison hyperlink to the excel worksheet version I have doesn't include Hinxton4. http://www.filedropper.com/ancientbritoraclek13_1

Can anyone provide a link to the one that includes Hinxton4?

Isidro
10-24-2014, 02:21 PM
Iron Age R1b-L11+ Briton / Me


Atlantic - 28.86 - 31.73
North Sea - 42.96 - 21.01
West Med - 6.77 - 19.86

East Med - 0.01 - 14.10
East Euro 12.22 - 5.77
Baltic - 6.47 - 5.35
West Asian - 1.74 - 0
Red Sea - 0.97 - 1.07

Rounding things up the 3 Western components me 73% and Briton 78% are similar. The big difference is my Eastern Med and his Eastern Euro.
I guess for now is just numbers and abstract thinking. I don't think that I can reasonably make any speculation for now, it would just show I have a bias at this point.
I wonder how different Hixton4 would be.

Anglecynn
10-24-2014, 05:06 PM
Iron Age R1b-L11+ Briton / Me


Atlantic - 28.86 - 31.73
North Sea - 42.96 - 21.01
West Med - 6.77 - 19.86

East Med - 0.01 - 14.10
East Euro 12.22 - 5.77
Baltic - 6.47 - 5.35
West Asian - 1.74 - 0
Red Sea - 0.97 - 1.07

Rounding things up the 3 Western components me 73% and Briton 78% are similar. The big difference is my Eastern Med and his Eastern Euro.
I guess for now is just numbers and abstract thinking. I don't think that I can reasonably make any speculation for now, it would just show I have a bias at this point.
I wonder how different Hixton4 would be.

The values for Hinxton 4 are quite similar, here is his distance from the other individuals(using Eurogenes K13) - 2, 3 and 5 are from the Early Medieval period. 2 and 3 do not fit in any modern population for some reason, but 5 is close to Danes, Dutch and some English. While 1 and 4 are close to Scots and Irish and some English.

Hinxton 2: 7.75
Hinxton 3: 8.34
Hinxton 4: 3.96
Hinxton 5: 8.95

CelticGerman
10-24-2014, 06:13 PM
Results of a 4th degree cousin. Common ancestors five generations ago (documented). Danish and North German ancestry as far as I know.

North Sea 44.48
Atlantic 21.43
Baltic 10.22
Eastern Euro 9.37
West Med 6.52
West Asian 5.25
Red Sea 1.83
South Asian 0.53
East Med 0.22
Oceanian 0.17

Single Population Sharing: West Norwegian 4.86; Norwegian 6.34; Swedish 7.35; North Dutch 8.06 followed by Orcadian, Danish, West Scottish, Irish .....

Anglecynn
10-24-2014, 06:25 PM
Isidro:
Hinxton1(Iron Age Briton): 28.5
Hinxton2(Anglo-Saxon): 30.77
Hinxton3(Anglo-Saxon): 32.57
Hinxton4(Iron Age Briton): 25.43
Hinxton5(Anglo-Saxon): 24.88

CelticGerman's Cousin:
Hinxton1(Iron Age Briton): 8.75
Hinxton2(Anglo-Saxon): 9
Hinxton3(Anglo-Saxon): 9.93
Hinxton4(Iron Age Briton): 15.09
Hinxton5(Anglo-Saxon): 14.20

Do you guys have results for K13? It seems to be a bit more accurate i think, it groups them better anyway.

Isidro
10-24-2014, 10:36 PM
Thank you Anglecynn for running my scores, much appreciated. It is interesting to see the difference comparing distances. Here are my Eurogenes K13 ones.



Population



North_Atlantic
41.83%


Baltic
12.50%


West_Med
26.16%


West_Asian
1.54%


East_Med
14.67%


Red_Sea
1.43%


South_Asian
-


East_Asian
-


Siberian
-


Amerindian
0.48%


Oceanian
-


Northeast_African
0.51%


Sub-Saharan
0.88%

Anglecynn
10-24-2014, 11:28 PM
Thank you Anglecynn for running my scores, much appreciated. It is interesting to see the difference comparing distances. Here are my Eurogenes K13 ones.



Population



North_Atlantic
41.83%


Baltic
12.50%


West_Med
26.16%


West_Asian
1.54%


East_Med
14.67%


Red_Sea
1.43%


South_Asian
-


East_Asian
-


Siberian
-


Amerindian
0.48%


Oceanian
-


Northeast_African
0.51%


Sub-Saharan
0.88%



Thank Leeroy Jenkins! He made the excel spreadsheets. :)

Hinxton1(Briton): 26.87
Hinxton2(Anglo Saxon): 31.31
Hinxton3(Anglo Saxon: 30.06
Hinxton4(Briton): 27.03
Hinxton5(Anglo Saxon): 24.93

Gray Fox
10-25-2014, 02:57 AM
Thank Leeroy Jenkins! He made the excel spreadsheets. :)

Hinxton1(Briton): 26.87
Hinxton2(Anglo Saxon): 31.31
Hinxton3(Anglo Saxon: 30.06
Hinxton4(Briton): 27.03
Hinxton5(Anglo Saxon): 24.93

Here's mine if you don't mind doing them.


1 North_Atlantic 47.61
2 Baltic 22.28
3 West_Med 16.13
4 West_Asian 7.70
5 South_Asian 2.36
6 Red_Sea 1.33
7 East_Med 1.03

Leeroy Jenkins
10-25-2014, 04:23 AM
The k13 comparison hyperlink to the excel worksheet version I have doesn't include Hinxton4. http://www.filedropper.com/ancientbritoraclek13_1

Can anyone provide a link to the one that includes Hinxton4?

Here are the final versions of the K13 (http://www.filedropper.com/ancientbritoraclek13v5) and K15 (http://www.filedropper.com/ancientbritoraclek15v5) Oracle spreadsheets. They now include all 5 of the Hinxton samples.

Leeroy Jenkins
10-25-2014, 04:28 AM
Here's mine if you don't mind doing them.


1 North_Atlantic 47.61
2 Baltic 22.28
3 West_Med 16.13
4 West_Asian 7.70
5 South_Asian 2.36
6 Red_Sea 1.33
7 East_Med 1.03

K13

Hinxton-1: 6.80
Hinxton-2: 12.57
Hinxton-3: 12.22
Hinxton-4: 6.74
Hinxton: 10.96

CelticGerman
10-25-2014, 05:15 AM
Anglecynn, here are the Eurogenes K13 results of my 4th degree cousin:

North Atlantic 48.67
Baltic 27.32
West Med 10.34
West Asian 6.3
East Med 3.51
Red Sea 2.19
South Asian 0.83
Oceanian 0.37
East Asian 0.37
Amerindien 0.1

CelticGerman
10-25-2014, 05:51 AM
The results for my uncle maternal side (related to my 4th degree cousin mentioned before). My uncle's documented ancestry is 93% North German and 3.1% South Jutland. Besides this 3.5% Prague/Bohemia and 0.4% Bavaria. Taking into account the birthplaces of his known ancestors, his ancestry should be mainly Saxon, Frisian and Jutish. Probably there is Dutch, Flemish and Slavic (Mecklenburg area) as well.

Eurogenes K13:

North Atlantic 48.56
Baltic 31.79
West Med 10.84
West Asian 4.33
East Med 2.73
Amerindian 0.95
Siberian 0.5
Sub-Saharan 0.29

MitchellSince1893
10-25-2014, 02:08 PM
Here are the K13 and K15 values for me and family. As you can see there is quite a bit a difference between the two.

2796

Isidro
10-30-2014, 10:53 PM
Thank Leeroy Jenkins that made the excel spreadsheets and Anglecynn for running my K13. Here are my distance scores to modern populations in South-East-West English.
Eurogenes K13
Hinxton1(Briton): 26.87
Hinxton2(Anglo Saxon): 31.31
Hinxton3(Anglo Saxon: 30.06
Hinxton4(Briton): 27.03
Hinxton5(Anglo Saxon): 24.93

Using 1 population approximation:
1 Spanish_Cataluna @ 2.656394
2 Spanish_Valencia @ 3.024512
3 Spanish_Castilla_Y_Leon @ 3.723966
4 Spanish_Murcia @ 4.278414
5 Portuguese @ 4.517606
6 Spanish_Castilla_La_Mancha @ 5.211571
7 Spanish_Galicia @ 5.595245
8 Spanish_Cantabria @ 5.762035
9 Spanish_Extremadura @ 5.869356
10 Spanish_Andalucia @ 6.548730
11 Spanish_Aragon @ 6.847403
12 Southwest_French @ 7.525727
13 French @ 10.233066
14 North_Italian @ 12.455890
15 South_Dutch @ 16.941809
16 West_German @ 17.252153
17 Tuscan @ 19.517487
18 French_Basque @ 19.971903
19 Southeast_English @ 21.152058
20 Southwest_English @ 21.885311

rms2
11-01-2014, 02:31 PM
Here's what I got using the K15 spreadsheet:

Hinxton 1: 7.247854955

Hinxton 2: 7.547085475

Hinxton 3: 10.63992126

Hinxton 4: 7.443637524

Hinxton 5: 7.915746102

I'm closest to the two male Iron Age Celts (Hinxton1 and Hinxton 4), but not too far off two of the Anglo-Saxon Period females (Hinxton 2 and Hinxton 5). I'm furthest from Hinxton 3, one of the Anglo-Saxon Period females.

Here are my Eurogenes EUtest V2 K15 Admixture Proportions:

Population
North_Sea 38.36%
Atlantic 28.60%
Baltic 9.81%
Eastern_Euro 7.90%
West_Med 7.96%
West_Asian 2.95%
East_Med 1.81%
Red_Sea -
South_Asian 1.25%
Southeast_Asian -
Siberian 0.51%
Amerindian 0.70%
Oceanian -
Northeast_African -
Sub-Saharan 0.15

That was a fun bit of diversion.

rms2
11-01-2014, 02:48 PM
Here's what I got using the K13 spreadsheet:

Hinxton 1: 6.035590702

Hinxton 2: 8.479742133

Hinxton 3: 9.742212668

Hinxton 4: 5.049751951

Hinxton 5: 7.322369101

I'm still closest to the two male Iron Age Celts, but this time I'm closer to Hinxton 4 than to Hinxton 1, and it was the reverse with K15. I'm still furthest away from Hinxton 3, one of the Anglo-Saxon Period females.

Here are my Eurogenes K13 Admixture Proportions:

Population
North_Atlantic 51.40%
Baltic 23.05%
West_Med 12.77%
West_Asian 4.96%
East_Med 4.04%
Red_Sea -
South_Asian 1.47%
East_Asian -
Siberian 0.96%
Amerindian 0.93%
Oceanian 0.12%
Northeast_African -
Sub-Saharan 0.26%

rms2
11-01-2014, 03:50 PM
I tried to go back and run my dad's results, but now I am being told the cells are "read only". When I try to "unprotect" to make them useable, I am being prompted for a password I don't have.

Is there something I am doing wrong or a way to fix this?

Celtarion
11-01-2014, 03:56 PM
Here my results.

My K13 results
Hinxton 1: 17,26033557
Hinxton 2: 22,15195487
Hinxton 3: 20,69359297
Hinxton 4: 17,52002798
Hinxton 5: 17,47417426

Population
North_Atlantic 42.10%
Baltic 16.99%
West_Med 19.43%
West_Asian 7.82%
East_Med 9.47%
Red_Sea 1.03%
South_Asian 0.88%
East_Asian -
Siberian -
Amerindian 1.60%
Oceanian 0.38%
Northeast_African 0.16%
Sub-Saharan 0.15%

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

My K15 results
Hinxton 1: 19,25312202
Hinxton 2: 21,71995394
Hinxton 3: 22,96907825
Hinxton 4: 15,3823155
Hinxton 5: 16,43507715

Population
North_Sea 26.85%
Atlantic 27.59%
Baltic 8.07%
Eastern_Euro 5.86%
West_Med 14.93%
West_Asian 6.64%
East_Med 6.58%
Red_Sea 1.09%
South_Asian 0.71%
Southeast_Asian -
Siberian -
Amerindian 1.29%
Oceanian 0.22%
Northeast_African 0.16%
Sub-Saharan -

Tolan
11-01-2014, 05:43 PM
For fun, I recorded your k15 results in Admix4_097 (those who were complete).
So, here is my distance with you: :biggrin1:

1 Celtarion @ 7,275872
2 Another_french @ 7,96581
3 MicthellSince1893 @ 13,342787
4 Anglecynn @ 13,702284
5 Hinxton4 @ 15,376153
6 Rms2 @ 16,468061
7 Salkin @ 17,000554
8 Hinxton1 @ 20,733889
9 Iron_Briton @ 22,159795
10 Hinxton2 @ 22,875565
11 Silesian @ 24,428591
12 Hinxton3 @ 25,725465
13 La_Brana-1 @ 25,961666
14 Ajvide58 @ 29,721771
15 Gokhem2 @ 31,124143
16 Ajvide70 @ 31,14917
17 Jusarius @ 31,440171
18 Gokhem7 @ 37,16104
19 StoraFörvar11 @ 39,130972
20 Sardinian @ 43,155149
31 iterations.

Gray Fox
11-01-2014, 06:26 PM
For fun, I recorded your k15 results in Admix4_097 (those who were complete).
So, here is my distance with you: :biggrin1:

1 Celtarion @ 7,275872
2 Another_french @ 7,96581
3 MicthellSince1893 @ 13,342787
4 Anglecynn @ 13,702284
5 Hinxton4 @ 15,376153
6 Rms2 @ 16,468061
7 Salkin @ 17,000554
8 Hinxton1 @ 20,733889
9 Iron_Briton @ 22,159795
10 Hinxton2 @ 22,875565
11 Silesian @ 24,428591
12 Hinxton3 @ 25,725465
13 La_Brana-1 @ 25,961666
14 Ajvide58 @ 29,721771
15 Gokhem2 @ 31,124143
16 Ajvide70 @ 31,14917
17 Jusarius @ 31,440171
18 Gokhem7 @ 37,16104
19 StoraFörvar11 @ 39,130972
20 Sardinian @ 43,155149
31 iterations.

Here's mine.. If this is the correct data. Its from the K15 run that Salkin did for me.

Hinxton #1 8,1333932087
Hinxton #2 9,8711810044
Hinxton #3 10,8811192793
Hinxton #4 12,0713286817

Tolan
11-01-2014, 06:56 PM
Here's mine.. If this is the correct data. Its from the K15 run that Salkin did for me.

Hinxton #1 8,1333932087
Hinxton #2 9,8711810044
Hinxton #3 10,8811192793
Hinxton #4 12,0713286817

For Admix4_097, I need the results, if possible complete, of the Eurogenes EUtest V2 K15 Admixture Proportions

Gray Fox
11-01-2014, 08:22 PM
To anyone who is reading: Could someone please do the run which requires the spreadsheet software? My computer didn't come with said software and I am suspect of downloading any free varieties found on the web. K15 data is fine since that seems to be the preferred method.

Thanks in advance.

I'm not sure what data is required, so here is the complete run..

1 North_Sea 38.25
2 Atlantic 24.50
3 West_Med 12.12
4 Eastern_Euro 8.41
5 Baltic 7.79
6 West_Asian 5.17
7 South_Asian 1.90

Oracle 4

Least-squares method.

Using 1 population approximation:
1 Southwest_English @ 6.446539
2 Orcadian @ 7.056460
3 Southeast_English @ 7.965423
4 North_Dutch @ 7.973306
5 West_German @ 8.647278
6 Danish @ 8.906894
7 West_Scottish @ 8.975426
8 Irish @ 9.306601
9 Norwegian @ 9.353287
10 West_Norwegian @ 9.603374
11 South_Dutch @ 10.287350
12 North_German @ 10.633010
13 Swedish @ 11.383990
14 French @ 13.039504
15 North_Swedish @ 14.667454
16 East_German @ 16.885431
17 Spanish_Galicia @ 21.101969
18 Southwest_Finnish @ 21.189005
19 Hungarian @ 21.925476
20 Spanish_Cataluna @ 22.234314

Using 2 populations approximation:
1 50% Orcadian +50% West_German @ 5.333855


Using 3 populations approximation:
1 50% Orcadian +25% Spanish_Galicia +25% West_Norwegian @ 5.244799


Using 4 populations approximation:
1 Orcadian + Spanish_Galicia + West_Norwegian + West_Norwegian @ 5.182370
2 Orcadian + Orcadian + Spanish_Galicia + West_Norwegian @ 5.244799
3 Orcadian + Orcadian + Southwest_English + West_German @ 5.257740
4 French + Orcadian + Orcadian + West_Norwegian @ 5.303032
5 Orcadian + Orcadian + West_German + West_German @ 5.333855
6 Orcadian + Southwest_English + West_German + West_Norwegian @ 5.353181
7 French + Orcadian + Southwest_English + West_Norwegian @ 5.360732
8 Southwest_English + Southwest_English + West_German + West_Norwegian @ 5.370756
9 French + Norwegian + Orcadian + Orcadian @ 5.387534
10 Orcadian + Southwest_English + Southwest_English + West_German @ 5.412223
11 Norwegian + Orcadian + Spanish_Galicia + West_Norwegian @ 5.427060
12 French + Southwest_English + West_Norwegian + West_Norwegian @ 5.467224
13 Norwegian + Orcadian + Orcadian + Spanish_Galicia @ 5.469786
14 Norwegian + Orcadian + Southwest_English + West_German @ 5.473818
15 Orcadian + Portuguese + West_Norwegian + West_Norwegian @ 5.479328
16 French + Orcadian + West_German + West_Norwegian @ 5.526408
17 Orcadian + Orcadian + Orcadian + West_German @ 5.533591
18 French + Orcadian + West_Norwegian + West_Norwegian @ 5.556282
19 French + Norwegian + Orcadian + Southwest_English @ 5.596510
20 Orcadian + Southwest_English + West_German + West_German @ 5.611505


Is this what you need?

Tolan
11-01-2014, 08:57 PM
Is this what you need?
1 North_Sea 38.25
2 Atlantic 24.50
3 West_Med 12.12
4 Eastern_Euro 8.41
5 Baltic 7.79
6 West_Asian 5.17
7 South_Asian 1.90



Yes, but But it lacks 1.86%. That may change a bit yours results!
Here are the distances, with you as a reference

1 Sam_Isaack @ 0
2 Rms2 @ 6,834608
3 Hinxton1 @ 8,261212
4 Anglecynn @ 8,773745
5 Iron_Briton @ 9,736876
6 Hinxton2 @ 10,310544
7 Salkin @ 10,810158
8 Hinxton3 @ 11,487906
9 MicthellSince1893 @ 12,016466
10 Hinxton4 @ 12,081607
11 Celtarion @ 14,740763
12 Tolan @ 17,657654
13 Another_french @ 17,956036
14 Ajvide70 @ 26,440625
15 Ajvide58 @ 27,02462
16 Jusarius @ 28,190817
17 La_Brana-1 @ 28,916936
18 Silesian @ 29,039033
19 Gokhem7 @ 37,160661
20 StoraFörvar11 @ 38,928783

Salkin
11-01-2014, 09:12 PM
For fun, I recorded your k15 results in Admix4_097 (those who were complete).
So, here is my distance with you: :biggrin1:

That's a cool idea! I'm thinking it might deserve its own thread, an orgy of distance comparisons. "Enter your data into an Oracle population" or somesuch. I'm wondering now what my distance to Evon would be, since he (rather logically, as a Norwegian) seems to have plotted the closest to me in other comparisons so far. I wonder if the Oracle used that way could be genealogically useful. It's probably not as optimal as the traditional matching-segment approach, though, so most likely not very.

Tolan
11-01-2014, 09:41 PM
I notice that the Hinxtons results seem quite normal for English ... As if subsequent invasions would not have changed the DNA of British ...

Here are the results of Salkin:
1 Salkin @ 0,212698
2 MicthellSince1893 @ 5,623785
3 Rms2 @ 5,699032
4 Hinxton4 @ 6,066973
5 Anglecynn @ 8,042082
6 Hinxton1 @ 9,9534
7 Hinxton2 @ 10,030846
8 Iron_Briton @ 10,294447
9 Sam_Isaack @ 10,82466
10 Hinxton3 @ 14,76866
11 Tolan @ 17,066422
12 Celtarion @ 17,504739
13 Another_French @ 20,130122
14 Ajvide70 @ 22,483174
15 Ajvide58 @ 22,550866
16 La_Brana-1 @ 22,65144
17 Silesian @ 24,891306
18 Jusarius @ 25,205267
19 StoraFörvar11 @ 35,336844
20 Gokhem7 @ 44,665324
33 iterations.

Anglecynn
11-01-2014, 11:00 PM
It looks like Hinxton 1, 4 and 5 are fairly normal for the British Isles and nearby areas, and 2 & 3 are just more abnormal for us, but also for other NW Europeans. Not sure why 2 & 3 are so different but it will be interesting if their composition becomes more normal among ancient individuals as more are tested.

Tolan
11-02-2014, 07:16 AM
It looks like Hinxton 1, 4 and 5 are fairly normal for the British Isles and nearby areas, and 2 & 3 are just more abnormal for us, but also for other NW Europeans. Not sure why 2 & 3 are so different but it will be interesting if their composition becomes more normal among ancient individuals as more are tested.

Hinxton2 seems like a lot to Hinxton1
Hinxton3 is a little off, but still close enough to Hinxton 1 and 2 ..

It seems we have 3 groups: Hinxton3, Hinxton 1 and 2 in the center and Hinxton 4 and 5 (which Salkin (Swedish) is the closest)
See beelow (I added three ancient Hungarian: Br(onze)1, CO(pper)1 and Ir(on)1):


1 Hinxton1 @ 0,343327
2 Iron_Briton @ 3,485535
3 Hinxton2 @ 3,69206
4 Rms2 @ 7,30629
5 Hinxton3 @ 7,828043
6 Sam_Isaack @ 8,245211
7 Salkin @ 9,998403
8 Anglecynn @ 10,873134
9 MicthellSince1893 @ 12,072162
10 Hinxton4 @ 12,988438
11 Hinxton5 @ 13,282902
12 Celtarion @ 19,156694
13 Tolan @ 20,788378
14 Another_French @ 22,460244
15 Ir1_Iron_Mezocsat @ 22,999531
16 Ajvide58 @ 26,657527
17 Jusarius @ 26,794408
18 Ajvide70 @ 26,830307
19 La_Brana-1 @ 28,730026
20 BR1_Bronze_Mako @ 30,03213


1 Hinxton2 @ 0,027595
2 Iron_Briton @ 2,529598
3 Hinxton1 @ 3,797408
4 Hinxton3 @ 7,157729
5 Rms2 @ 7,983193
6 Salkin @ 10,067511
7 Sam_Isaack @ 10,318499
8 Anglecynn @ 12,688025
9 MicthellSince1893 @ 13,228741
10 Hinxton4 @ 13,384031
11 Hinxton5 @ 13,725887
12 Celtarion @ 21,616901
13 Tolan @ 22,910755
14 Another_French @ 24,631496
15 Ir1_Iron_Mezocsat @ 25,493442
16 Ajvide70 @ 27,044515
17 Ajvide58 @ 27,193821
18 Jusarius @ 27,572608
19 La_Brana-1 @ 29,361801
20 BR1_Bronze_Mako @ 31,428949


1 Hinxton3 @ 0,485299
2 Hinxton2 @ 7,266413
3 Iron_Briton @ 7,788392
4 Hinxton1 @ 8,03739
5 Rms2 @ 11,229978
6 Sam_Isaack @ 11,718207
7 Salkin @ 14,972577
8 Anglecynn @ 16,144712
9 Hinxton4 @ 16,151076
10 MicthellSince1893 @ 17,933889
11 Hinxton5 @ 18,104026
12 Celtarion @ 23,052035
13 Another_French @ 25,932501
14 Tolan @ 25,958657
15 Ir1_Iron_Mezocsat @ 28,104278
16 Ajvide70 @ 31,33602
17 Ajvide58 @ 32,137361
18 Jusarius @ 32,909709
19 La_Brana-1 @ 34,491724
20 BR1_Bronze_Mako @ 34,861899

1 Hinxton4 @ 0,149961
2 Salkin @ 6,078137
3 Hinxton5 @ 6,942037
4 MicthellSince1893 @ 7,013051
5 Rms2 @ 7,436382
6 Anglecynn @ 9,768007
7 Sam_Isaack @ 12,070302
8 Hinxton1 @ 12,949977
9 Hinxton2 @ 13,365284
10 Iron_Briton @ 13,65737
11 Tolan @ 15,303982
12 Celtarion @ 15,586577
13 Hinxton3 @ 15,960619
14 Another_French @ 17,851835
15 BR1_Bronze_Mako @ 21,465522
16 Ir1_Iron_Mezocsat @ 22,739437
17 La_Brana-1 @ 24,354289
18 Ajvide70 @ 26,108104
19 Ajvide58 @ 26,199956
20 Silesian @ 26,234658

1 Hinxton5 @ 0,73992
2 Salkin @ 5,41896
3 MicthellSince1893 @ 6,528668
4 Hinxton4 @ 6,98757
5 Rms2 @ 8,370108
6 Anglecynn @ 8,472519
7 Sam_Isaack @ 12,605967
8 Hinxton1 @ 13,69568
9 Iron_Briton @ 13,921279
10 Hinxton2 @ 14,221883
11 Tolan @ 14,867953
12 Celtarion @ 16,227757
13 Another_French @ 18,346603
14 BR1_Bronze_Mako @ 18,412535
15 Hinxton3 @ 18,513219
16 La_Brana-1 @ 21,485064
17 Ajvide58 @ 22,756626
18 Ajvide70 @ 23,133803
19 Silesian @ 23,514773
20 Ir1_Iron_Mezocsat @ 24,110374

1 Ir1_Iron_Mezocsat @ 0,445752
2 MicthellSince1893 @ 18,42227
3 Silesian @ 19,824562
4 Anglecynn @ 20,053513
5 Celtarion @ 20,60646
6 Tolan @ 20,984054
7 Hinxton4 @ 22,680224
8 Sam_Isaack @ 22,814672
9 Hinxton1 @ 22,875495
10 Salkin @ 22,975847
11 Rms2 @ 23,516495
12 Another_French @ 24,213833
13 Hinxton5 @ 24,221176
14 La_Brana-1 @ 24,326756
15 Jusarius @ 24,543793
16 Ajvide58 @ 25,424828
17 Hinxton2 @ 25,437799
18 Iron_Briton @ 26,11842
19 Hinxton3 @ 27,860571
20 Ajvide70 @ 28,174675

rms2
11-03-2014, 12:07 AM
I was able to go back to the spreadsheets and run my dad's results. Here they are, with K13 on the left and K15 on the right:

2855 2856

Weird.

Reith
11-14-2014, 01:57 PM
Population Me IA Brit
North_Sea 33.66 42.96
Atlantic 23.59 28.86
Baltic 16.72 6.47
Eastern_Euro 11.72 12.22
West_Med 7.45 6.77
East_Med 2.88 0.01
West_Asian 2.47
South_Asian 0.97
Oceanian 0.41
Red_Sea 0.13 0.97

Redsky12
08-06-2016, 03:26 AM
Here are my Eurogenes V2 K15 results.


# Population Percent
1 North_Sea 37.09
2 Atlantic 29.48
3 Baltic 10.33
4 West_Med 9.96
5 Eastern_Euro 6.45
6 West_Asian 3.47
7 South_Asian 2.35
8 East_Med 0.71
9 Northeast_African 0.1
10 Siberian 0.05

Single Population Sharing:

# Population (source) Distance
1 Southwest_English 3.15
2 Southeast_English 3.33
3 Irish 3.86
4 Orcadian 4.11
5 West_Scottish 4.16
6 North_Dutch 5.03
7 Danish 5.69
8 North_German 7.06
9 South_Dutch 8
10 Norwegian 8.43
11 West_Norwegian 8.62
12 West_German 8.96
13 Swedish 9.83
14 French 11.41
15 North_Swedish 13.19
16 East_German 14.55
17 Southwest_Finnish 17.93
18 Spanish_Cataluna 18.51
19 Austrian 18.66
20 Spanish_Galicia 18.89

Jessie
08-06-2016, 06:25 AM
Iron Age Briton 4's K15 result.

Admix Results (sorted):

# Population Percent
1 North_Sea 34.84
2 Atlantic 31.86
3 Baltic 13.89
4 West_Med 6.34
5 Eastern_Euro 5.72
6 West_Asian 4.78
7 South_Asian 1.93
8 Sub-Saharan 0.51
9 Siberian 0.13

Single Population Sharing:

# Population (source) Distance
1 Irish 4.3
2 West_Scottish 5.35
3 Southeast_English 5.8
4 North_German 5.99
5 North_Dutch 6.2
6 Danish 6.49
7 Southwest_English 6.96
8 Orcadian 7.15
9 South_Dutch 9.54
10 Norwegian 10.03
11 Swedish 10.35
12 West_Norwegian 10.6
13 West_German 11.7
14 North_Swedish 13.41
15 French 13.82
16 East_German 14.15
17 Southwest_Finnish 16.59
18 Austrian 17.45
19 Hungarian 18.74
20 Finnish 20.1

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 98.4% Irish + 1.6% Velamas @ 4.11
2 98.3% Irish + 1.7% Dharkar @ 4.11
3 98.4% Irish + 1.6% Kurumba @ 4.12
4 98.5% Irish + 1.5% Piramalai @ 4.12
5 98.4% Irish + 1.6% Kanjar @ 4.12
6 98.5% Irish + 1.5% Chenchu @ 4.13
7 98.6% Irish + 1.4% Chamar @ 4.13
8 96.2% Irish + 3.8% Lithuanian @ 4.13
9 98.3% Irish + 1.7% Kshatriya @ 4.13
10 98.5% Irish + 1.5% North_Kannadi @ 4.13
11 98.6% Irish + 1.4% Sakilli @ 4.13
12 98.5% Irish + 1.5% Dusadh @ 4.13
13 98.5% Irish + 1.5% Uttar_Pradesh @ 4.13
14 98.2% Irish + 1.8% Brahmin_UP @ 4.14
15 98.5% Irish + 1.5% Kol @ 4.14
16 98.3% Irish + 1.7% Gujarati @ 4.14
17 95.9% Irish + 4.1% Russian_Smolensk @ 4.15
18 98.4% Irish + 1.6% Bangladeshi @ 4.15
19 98.2% Irish + 1.8% Sindhi @ 4.16
20 98.1% Irish + 1.9% Punjabi_Jat @ 4.16


Brother's K15

Admix Results (sorted):

# Population Percent
1 North_Sea 38.02
2 Atlantic 28.5
3 Eastern_Euro 9.98
4 Baltic 9.12
5 West_Med 7.56
6 West_Asian 5.23
7 South_Asian 0.94
8 Amerindian 0.66

Single Population Sharing:

# Population (source) Distance
1 Orcadian 2.86
2 West_Scottish 3.29
3 North_Dutch 3.86
4 Danish 3.88
5 Irish 3.94
6 Southeast_English 4.12
7 Southwest_English 4.99
8 North_German 6.29
9 Norwegian 6.64
10 West_Norwegian 6.68
11 Swedish 8.41
12 South_Dutch 8.96
13 West_German 9.41
14 North_Swedish 11.21
15 French 13.25
16 East_German 14.5
17 Southwest_Finnish 16.66
18 Austrian 18.83
19 Hungarian 19.23
20 Finnish 19.85

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 93.9% Orcadian + 6.1% Ukrainian_Belgorod @ 2.13
2 94.7% Orcadian + 5.3% Erzya @ 2.15
3 88.5% Orcadian + 11.5% East_German @ 2.16
4 94.1% Orcadian + 5.9% Southwest_Russian @ 2.18
5 94.2% Orcadian + 5.8% Kargopol_Russian @ 2.18
6 93.9% Orcadian + 6.1% Russian_Smolensk @ 2.2
7 96.2% Orcadian + 3.8% Tabassaran @ 2.21
8 96.4% Orcadian + 3.6% Chechen @ 2.21
9 76.6% Orcadian + 23.4% North_German @ 2.21
10 96.4% Orcadian + 3.6% Lezgin @ 2.21
11 93% Orcadian + 7% Croatian @ 2.22
12 93.1% Orcadian + 6.9% South_Polish @ 2.22
13 93.3% Orcadian + 6.7% Polish @ 2.23
14 93.4% Orcadian + 6.6% Moldavian @ 2.24
15 94.3% Orcadian + 5.7% Estonian_Polish @ 2.24
16 93.6% Orcadian + 6.4% Ukrainian @ 2.26
17 91.5% Orcadian + 8.5% Austrian @ 2.27
18 96.6% Orcadian + 3.4% Kabardin @ 2.27
19 94.5% Orcadian + 5.5% Belorussian @ 2.29
20 96.8% Orcadian + 3.2% Adygei @ 2.29

My K15 result

Admix Results (sorted):

# Population Percent
1 North_Sea 37.04
2 Atlantic 29.88
3 Baltic 11.89
4 Eastern_Euro 8.75
5 West_Asian 5.16
6 West_Med 4.95
7 Amerindian 1.15
8 Red_Sea 1.1
9 Siberian 0.07

Single Population Sharing:

# Population (source) Distance
1 Irish 3.03
2 West_Scottish 3.18
3 North_Dutch 3.71
4 Danish 3.92
5 Orcadian 4.92
6 Southeast_English 5.05
7 North_German 5.1
8 Southwest_English 6.72
9 Norwegian 7.23
10 West_Norwegian 7.49
11 Swedish 8.02
12 South_Dutch 9.76
13 West_German 10.83
14 North_Swedish 10.95
15 East_German 14.23
16 French 14.47
17 Southwest_Finnish 15.54
18 Austrian 18.1
19 Hungarian 18.79
20 Finnish 18.91

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 85.3% Irish + 14.7% Swedish @ 2.74
2 96.9% West_Scottish + 3.1% Chechen @ 2.76
3 97.1% West_Scottish + 2.9% North_Ossetian @ 2.77
4 97.4% Irish + 2.6% Tabassaran @ 2.78
5 89.9% Irish + 10.1% North_Swedish @ 2.79
6 97.7% Irish + 2.3% Chechen @ 2.8
7 67.9% Irish + 32.1% North_Dutch @ 2.81
8 74.3% West_Scottish + 25.7% North_German @ 2.82
9 97.7% Irish + 2.3% Lezgin @ 2.82
10 97.2% West_Scottish + 2.8% Kabardin @ 2.82
11 86.3% Irish + 13.7% West_Norwegian @ 2.83
12 97.3% West_Scottish + 2.7% Adygei @ 2.83
13 97% West_Scottish + 3% Tabassaran @ 2.83
14 98% Irish + 2% North_Ossetian @ 2.84
15 97.1% West_Scottish + 2.9% Lezgin @ 2.84
16 86.3% Irish + 13.7% Norwegian @ 2.84
17 97.3% West_Scottish + 2.7% Balkar @ 2.85
18 94.8% Irish + 5.2% Finnish @ 2.85
19 96% Irish + 4% Estonian @ 2.86
20 98% Irish + 2% Kabardin @ 2.86

I would have used the spreadsheet to compare how close we matched the Hinxton samples but the link wasn't working for me.