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Arbogan
04-28-2015, 11:49 AM
David at eurogenes just recently released another analysis. This time focusing on seperating south-central asian frequencies from steppe(yamnaya)

spreadsheet with analyzed populations.
https://docs.google.com/spreadsheets/d/1Hb0GVyrf2ztR_QvoIYcmhWtsYv0p39avjqM-G3-6Xew/edit?pli=1#gid=1809893991

I find it it interesting since it goes contrary to the results of previous admixture runs.

Some things Ive observed:

-The lack of a proper neolithic proxy is inflating signalling of indo-european ancestry in groups of people who've had little contact with steppe people.
-The seperation between hindu-kush and steppe, drastically reduces steppe ancestry in south-central asia and iranian plateau.
-It seems to be a rather decent for europeans, but the hindu-kush is left uexplained.
-The yamnaya component is more ENF as result of filtering out ASI frequencies from it.

also the most nerdy part, will we get an opportunity to run our own data?

The Barnacle
04-28-2015, 12:10 PM
Very interesting! Isn't the calculator a bit noisy?

Arbogan
04-28-2015, 12:17 PM
Very interesting! Isn't the calculator a bit noisy?

It's not a calculator per say. It's directly from admixture. Calculators are third party programs based on admixture. But yes, in som populations it is. Like Mayans.

anyway thread open for discussion.

The Barnacle
04-28-2015, 12:26 PM
It's not a calculator per say. It's directly from admixture. Calculators are third party programs based on admixture. But yes, in som populations it is. Like Mayans.

anyway thread open for discussion.

Oh right, the reason I pointed that out was because some populations were scoring few percentages for oceanian, sub Saharan etc compared to the k9

Generalissimo
04-29-2015, 08:31 AM
It's not a calculator per say. It's directly from admixture. Calculators are third party programs based on admixture. But yes, in som populations it is. Like Mayans.

The Mayan Indians really do have some European and West African admixture, if that's what you mean.

alan
04-29-2015, 08:42 AM
I have always considered that the northern edge of the mountain barrier of central Asia surely is more likely to have been a refuge for people from the north in the LGM and therefore there could have been an ANE element

MonkeyDLuffy
04-29-2015, 08:43 AM
Can we ask david to run our data on calculator?

Also there isnt a single punjabi population on the sheet :/

SwampThing27
04-29-2015, 02:22 PM
Can we ask david to run our data on calculator?

Also there isnt a single punjabi population on the sheet :/

He said he isn't running it for anyone at this time.

Dr_McNinja
04-29-2015, 02:37 PM
David sent me the calculator, you can download it for use with R here:

https://drive.google.com/file/d/0B-XBmvmgdkfVM2RRRHlRSkcwV0k/view?usp=sharing

I'll be running all the kits people sent me through it and add them to the spreadsheet. It might take a while. If you sent me your data to run in the other ANI K14 in the last few hours, it might be a while until I get to it, but I'll add them to both spreadsheets. In the meantime I'll share that calculator as well if people want to run it themselves, just PM me.

I'll post a datasheet for use with 4-Ancestors Oracle after that.

MfA
04-29-2015, 03:14 PM
Here's mine, kinda noisy with using only 100k SNPs

kenji.aryan
04-29-2015, 03:57 PM
Can we ask david to run our data on calculator?

:/

Here is yours

7.93% Near_Eastern
4.68% East_Asian
1.34% Siberian
4.44% Oceanian
8.78% WHG-UHG
0.60% Sub-Saharan
52.88% Hindu_Kush
11.17% Steppe
2.26% Amerindian
5.92% Southeast_Asian

Dr_McNinja
04-29-2015, 04:17 PM
Here's the kits I ran:

https://docs.google.com/spreadsheet/ccc?key=0AuXBmvmgdkfVdFMtRHVlZDBuQ3lMcjhxMDE4V3JoY lE#gid=62

Anabasis
04-29-2015, 04:27 PM
My Result is (Thanks lot Dr. Mc Ninja)

Near Eastern 57,63%
East_Asian 0,00%
Siberian 0,00%
Oceanian 0,00%
WHG-UHG 0,01%
SSA 0,00%
Hindu Kush 26,48%
Steppe 15,87%
Amerindian 0,00%
SE-Asian 0,00%

What i didnt understand is while i have 4% score with k6- Yamnaya like, how can i be %15,87 steppe in K10? Where that %12 came? That steppe didnt made any sense on me. May be that component is not represent the step effect on me but the effect of Other components on Step people.

The Barnacle
04-29-2015, 04:39 PM
Dr Mcninja, is your run a bit different than the actual admixture run? Afghan Pashtuns from the actual run have around 13-16% near eastern but your run it's about 18-19%.

Anabasis
04-29-2015, 05:03 PM
So what do you think abut whats the difference of "Steppe" of k10 and "Yamnaya like" of K6? Isnt it wierd that they score different in each calculation? I realy diidnt understand anything.

Sein
04-29-2015, 05:12 PM
Dr_McNinja,

Thanks for running my file!

Just a side note, but that file you have isn't HRP0281's, it's a different Afghan Pashtun's raw-data.

NK19191
04-29-2015, 05:15 PM
Thanks Again to Dr_McNinja



40.94% Near_Eastern
33.99% Hindu_Kush
13.39% Steppe
5.78% WHG-UHG
2.27% East_Asian
1.62% Siberian
0.96% Oceanian
0.54% Southeast_Asian
0.50% Sub-Saharan
0.01% Amerindian

Arbogan
04-29-2015, 05:18 PM
Can anyone with R installed run mine?

thrax
04-29-2015, 05:25 PM
My results:

49.19% Near_Eastern
0.05% East_Asian
0.57% Siberian
0.38% Oceanian
21.83% WHG-UHG
0.00% Sub-Saharan
9.06% Hindu_Kush
18.39% Steppe
0.17% Amerindian
0.35% Southeast_Asian

Hanna
04-29-2015, 05:46 PM
My results:

48.55% Near_Eastern
25.24% Hindu_Kush
15.92% Steppe
4.18% WHG-UHG
3.00% East_Asian
2.38%Siberian
0.60% Oceanian
0.08% Southeast_Asian
0.04% Amerindian
0.00% Sub-Saharan

MfA
04-29-2015, 05:49 PM
Here's mine, kinda noisy with using only 100k SNPs




Compared to my Ezidi Kurdish friend

44.35% Near_Eastern
35.31% Hindu_Kush
13.35% Steppe
2.94% WHG-UHG
1.23% Siberian
1.11% Amerindian
0.92% Southeast_Asian
0.36% East_Asian
0.25% Sub-Saharan
0.17% Oceanian

Hanna
04-29-2015, 05:53 PM
My results:

48.55% Near_Eastern
25.24% Hindu_Kush
15.92% Steppe
4.18% WHG-UHG
3.00% East_Asian
2.38%Siberian
0.60% Oceanian
0.08% Southeast_Asian
0.04% Amerindian
0.00% Sub-Saharan

Just noticed my aunt was included.

Her results:

51.79% Near_Eastern
29.38% Hindu_Kush
14.91%Steppe
2.08% WHG-UHG
1.03%Siberian
0.55% East_Asian
0.14% Amerindian
0.12% Sub-Saharan
0.00% Oceanian
0.00% Southeast_Asian

Rukha
04-29-2015, 06:32 PM
my results:

45.06% Hindu_Kush
16.80% Near_Eastern
15.77% Steppe
9.98% WHG-UHG
4.33% East_Asian
3.02% Amerindian
2.11% Southeast_Asian
1.57% Oceanian
0.94% Siberian
0.43% Sub-Saharan

Dr_McNinja
04-29-2015, 06:37 PM
Here's a data file to use with 4-Ancestors Oracle:

https://drive.google.com/open?id=0B-XBmvmgdkfValNYb3JnN2E4VzQ&authuser=0

It's only got the population averages in the spreadsheet put out by Davidski/Chad. So the only real Indian population is GujaratiA which is a better proxy for North Indian, not South.

HRP0393 Haryana Jatt:

Least-squares method.

Using 1 population approximation:
1 Afghan_Pashtun @ 8.233646
2 Tajik_Pomiri @ 11.327539
3 Pathan @ 12.068378
4 Afghan_Uzbeki @ 17.844725
5 Tadjik @ 17.864033
6 Burusho @ 18.053163
7 Afghan_Tadjik @ 18.112817
8 GujaratiA @ 19.214551
9 Balochi @ 22.831442
10 Brahui @ 24.839944
11 Kalash @ 28.016755
12 Turkmen @ 31.906959
13 Afghan_Turkmen @ 32.957444
14 Kostenki14 @ 33.624795
15 Ust_Ishim @ 34.883266
16 Uzbek @ 36.027933
17 Iranian @ 38.025736
18 Lezgin @ 38.769812
19 MA1 @ 39.266332
20 Kumyk @ 40.857441
180 iterations.

Using 2 populations approximation:
1 GujaratiA+Tadjik @ 4.13882
2 Pathan+Tajik_Pomiri @ 4.765542
3 GujaratiA+Tajik_Pomiri @ 5.276256
4 Pathan+Tadjik @ 6.760357
5 Burusho+Tajik_Pomiri @ 6.819668
6 Afghan_Tadjik+GujaratiA @ 6.929939
7 Afghan_Pashtun+Pathan @ 7.068976
8 Afghan_Uzbeki+GujaratiA @ 7.582686
9 Burusho+Tadjik @ 7.991862
10 Afghan_Tadjik+Pathan @ 8.007903
11 Afghan_Pashtun+Afghan_Pashtun @ 8.233646
12 Kalash+Tadjik @ 8.295035
13 Afghan_Pashtun+GujaratiA @ 8.308752
14 Afghan_Uzbeki+Pathan @ 8.444418
15 Afghan_Pashtun+Tajik_Pomiri @ 8.548429
16 Afghan_Pashtun+Burusho @ 8.862544
17 Kalash+Turkmen @ 9.373097
18 Balochi+Tajik_Pomiri @ 9.408092
19 GujaratiA+Turkmen @ 9.738737
20 Afghan_Tadjik+Kalash @ 9.995621
16290 iterations.

Using 3 populations approximation:
1 50% Tajik_Pomiri +25% Afghan_Pashtun +25% GujaratiA @ 3.618303
2 50% GujaratiA +25% Tadjik +25% Tajik_Pomiri @ 3.908223
3 50% Afghan_Pashtun +25% GujaratiA +25% Tajik_Pomiri @ 3.978217
4 50% GujaratiA +25% Tadjik +25% Tadjik @ 4.13882
5 50% Tajik_Pomiri +25% GujaratiA +25% Pathan @ 4.25802
6 50% GujaratiA +25% Tajik_Pomiri +25% Turkmen @ 4.425303
7 50% GujaratiA +25% Nogai +25% Tajik_Pomiri @ 4.487792
8 50% Pathan +25% Chuvash +25% Kalash @ 4.671595
9 50% Pathan +25% Chuvash +25% GujaratiA @ 4.702814
10 50% Burusho +25% Brahui +25% Erzya @ 4.750438
11 50% Pathan +25% Tajik_Pomiri +25% Tajik_Pomiri @ 4.765542
12 50% Tajik_Pomiri +25% GujaratiA +25% Tajik_Pomiri @ 4.779824
13 50% Burusho +25% Balochi +25% Erzya @ 4.802873
14 50% GujaratiA +25% Nogai +25% Pathan @ 4.810096
15 50% GujaratiA +25% Balochi +25% Moksha @ 4.815368
16 50% GujaratiA +25% Balochi +25% Erzya @ 4.867187
17 50% Tadjik +25% GujaratiA +25% Pathan @ 4.926685
18 50% GujaratiA +25% Afghan_Turkmen +25% Tajik_Pomiri @ 4.941368
19 50% GujaratiA +25% Afghan_Tadjik +25% Tajik_Pomiri @ 4.951293
20 50% GujaratiA +25% Balochi +25% Chuvash @ 4.984716
1552677 iterations.

Using 4 populations approximation:
1 Afghan_Pashtun+GujaratiA+Tajik_Pomiri+Tajik_Pomiri @ 3.618303
2 GujaratiA+Pathan+Tadjik+Tajik_Pomiri @ 3.740499
3 GujaratiA+GujaratiA+Tadjik+Tajik_Pomiri @ 3.908223
4 Afghan_Pashtun+Afghan_Pashtun+GujaratiA+Tajik_Pomi ri @ 3.978217
5 Balochi+Burusho+Erzya+GujaratiA @ 4.002929
6 Brahui+Burusho+Erzya+GujaratiA @ 4.089774
7 Balochi+Burusho+GujaratiA+Moksha @ 4.13604
8 GujaratiA+GujaratiA+Tadjik+Tadjik @ 4.13882
9 GujaratiA+Pathan+Tajik_Pomiri+Tajik_Pomiri @ 4.25802
10 Brahui+Burusho+GujaratiA+Moksha @ 4.260544
11 Balochi+Chuvash+GujaratiA+Pathan @ 4.362701
12 Brahui+Chuvash+GujaratiA+Pathan @ 4.378167
13 GujaratiA+GujaratiA+Tajik_Pomiri+Turkmen @ 4.425303
14 GujaratiA+Kalash+Nogai+Tajik_Pomiri @ 4.452538
15 Balochi+Burusho+GujaratiA+Russian_Kargopol @ 4.481925
16 Afghan_Tadjik+GujaratiA+Pathan+Tajik_Pomiri @ 4.484962
17 GujaratiA+GujaratiA+Nogai+Tajik_Pomiri @ 4.487792
18 Brahui+Burusho+Erzya+Pathan @ 4.532771
19 Afghan_Uzbeki+Brahui+GujaratiA+MA1 @ 4.55918
20 Brahui+Burusho+GujaratiA+Russian_Kargopol @ 4.565887
21 Afghan_Uzbeki+Balochi+GujaratiA+MA1 @ 4.62344
22 Chuvash+Kalash+Pathan+Pathan @ 4.671595
23 Balochi+Burusho+Erzya+Pathan @ 4.700119
24 Chuvash+GujaratiA+Pathan+Pathan @ 4.702814
25 Balochi+BenzigerodeHeimburg_LN+Burusho+GujaratiA @ 4.715212
26 Afghan_Tadjik+Brahui+GujaratiA+MA1 @ 4.721308
27 Brahui+Burusho+Burusho+Erzya @ 4.750438
28 Pathan+Pathan+Tajik_Pomiri+Tajik_Pomiri @ 4.765542
29 Balochi+Burusho+GujaratiA+Russian @ 4.771391
30 GujaratiA+Tajik_Pomiri+Tajik_Pomiri+Tajik_Pomiri @ 4.779824
31 Brahui+Erzya+GujaratiA+Pathan @ 4.781861
32 Balochi+Burusho+Burusho+Erzya @ 4.802873
33 GujaratiA+GujaratiA+Nogai+Pathan @ 4.810096
34 Balochi+GujaratiA+GujaratiA+Moksha @ 4.815368
35 Balochi+Erzya+GujaratiA+Pathan @ 4.817421
36 Brahui+Burusho+Moksha+Pathan @ 4.817869
37 Afghan_Pashtun+GujaratiA+Tadjik+Tajik_Pomiri @ 4.823705
38 BenzigerodeHeimburg_LN+Brahui+Burusho+GujaratiA @ 4.824469
39 Afghan_Tadjik+Balochi+GujaratiA+MA1 @ 4.847325
40 Brahui+Burusho+Chuvash+Pathan @ 4.859876
6566415 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 Pathan @ 5.80334
2 Afghan_Pashtun @ 6.940513
3 Afghan_Uzbeki @ 12.225576
4 Tadjik @ 12.471486
5 Afghan_Tadjik @ 12.47247
6 Tajik_Pomiri @ 13.272808
7 Burusho @ 14.89923
8 Balochi @ 16.616216
9 GujaratiA @ 17.247719
10 Turkmen @ 19.114961
11 Uzbek @ 20.926667
12 Afghan_Turkmen @ 21.76836
13 Brahui @ 22.208714
14 Uygur @ 23.302119
15 Kumyk @ 24.111202
16 Iranian @ 24.270156
17 Nogai @ 26.195757
18 Lezgin @ 26.358581
19 Turkish @ 27.021577
20 Chechen @ 27.416212
180 iterations.

Using 2 populations approximation:
1 GujaratiA+Tajik_Pomiri @ 1.833713
2 GujaratiA+Tadjik @ 4.099132
3 Pathan+Tajik_Pomiri @ 4.269754
4 Afghan_Pashtun+Pathan @ 4.558095
5 Afghan_Pashtun+GujaratiA @ 4.674138
6 Pathan+Pathan @ 5.80334
7 Pathan+Tadjik @ 6.041386
8 Burusho+Tajik_Pomiri @ 6.042148
9 Afghan_Pashtun+Burusho @ 6.471731
10 Afghan_Tadjik+GujaratiA @ 6.64664
11 Afghan_Pashtun+Kalash @ 6.731204
12 Afghan_Uzbeki+GujaratiA @ 6.763494
13 Afghan_Pashtun+Afghan_Pashtun @ 6.940513
14 Kalash+Tadjik @ 6.98603
15 Burusho+Tadjik @ 7.080332
16 Afghan_Uzbeki+Pathan @ 7.214976
17 Afghan_Tadjik+Pathan @ 7.293619
18 Afghan_Tadjik+Kalash @ 7.569203
19 Afghan_Pashtun+Tajik_Pomiri @ 7.643039
20 GujaratiA+Kumyk @ 7.889908
16290 iterations.

Using 3 populations approximation:
1 50% GujaratiA +25% Tajik_Pomiri +25% Tajik_Pomiri @ 1.833713
2 50% Tajik_Pomiri +25% GujaratiA +25% Pathan @ 2.17468
3 50% GujaratiA +25% Tadjik +25% Tajik_Pomiri @ 2.527756
4 50% GujaratiA +25% Afghan_Pashtun +25% Tajik_Pomiri @ 2.925534
5 50% GujaratiA +25% Burusho +25% Lezgin @ 3.188271
6 50% GujaratiA +25% Burusho +25% Chechen @ 3.196931
7 50% Pathan +25% GujaratiA +25% Tajik_Pomiri @ 3.394277
8 50% Pathan +25% Pathan +25% Tajik_Pomiri @ 3.423059
9 50% GujaratiA +25% Burusho +25% Ukrainian_Poltava @ 3.428414
10 50% GujaratiA +25% Burusho +25% Ukrainian_Belgorod @ 3.51214
11 50% GujaratiA +25% Lezgin +25% Tajik_Pomiri @ 3.535849
12 50% GujaratiA +25% Bosnian +25% Burusho @ 3.538106
13 50% GujaratiA +25% Burusho +25% Ukrainian_Kharkov @ 3.543751
14 50% Pathan +25% GujaratiA +25% Moksha @ 3.551976
15 50% Afghan_Pashtun +25% GujaratiA +25% Tajik_Pomiri @ 3.574447
16 50% GujaratiA +25% Burusho +25% Ukrainian_Lviv @ 3.633408
17 50% GujaratiA +25% Burusho +25% Serbian_Bosnia @ 3.649428
18 50% GujaratiA +25% Chechen +25% Tajik_Pomiri @ 3.689365
19 50% GujaratiA +25% Kumyk +25% Tajik_Pomiri @ 3.692071
20 50% GujaratiA +25% Burusho +25% Czech @ 3.721393
2915910 iterations.

Using 4 populations approximation:
1 GujaratiA+GujaratiA+Tajik_Pomiri+Tajik_Pomiri @ 1.833713
2 GujaratiA+Pathan+Tajik_Pomiri+Tajik_Pomiri @ 2.17468
3 Afghan_Pashtun+GujaratiA+Pathan+Tajik_Pomiri @ 2.46867
4 GujaratiA+GujaratiA+Tadjik+Tajik_Pomiri @ 2.527756
5 Afghan_Pashtun+GujaratiA+GujaratiA+Tajik_Pomiri @ 2.925534
6 Burusho+GujaratiA+GujaratiA+Lezgin @ 3.188271
7 Burusho+Chechen+GujaratiA+GujaratiA @ 3.196931
8 GujaratiA+Pathan+Tadjik+Tajik_Pomiri @ 3.27285
9 GujaratiA+Pathan+Pathan+Tajik_Pomiri @ 3.394277
10 GujaratiA+Kalash+Moksha+Pathan @ 3.406754
11 Pathan+Pathan+Pathan+Tajik_Pomiri @ 3.423059
12 Burusho+GujaratiA+GujaratiA+Ukrainian_Poltava @ 3.428414
13 Burusho+GujaratiA+Pathan+Ukrainian_Belgorod @ 3.503643
14 Burusho+GujaratiA+GujaratiA+Ukrainian_Belgorod @ 3.51214
15 GujaratiA+GujaratiA+Lezgin+Tajik_Pomiri @ 3.535849
16 Bosnian+Burusho+GujaratiA+GujaratiA @ 3.538106
17 Burusho+GujaratiA+GujaratiA+Ukrainian_Kharkov @ 3.543751
18 Burusho+GujaratiA+Pathan+Russian @ 3.546292
19 GujaratiA+Moksha+Pathan+Pathan @ 3.551976
20 Burusho+GujaratiA+Moksha+Pathan @ 3.558188
21 Burusho+GujaratiA+Pathan+Ukrainian_Poltava @ 3.57057
22 Afghan_Pashtun+Afghan_Pashtun+GujaratiA+Tajik_Pomi ri @ 3.574447
23 Burusho+GujaratiA+Pathan+Ukrainian_Kharkov @ 3.58043
24 Burusho+GujaratiA+GujaratiA+Ukrainian_Lviv @ 3.633408
25 Burusho+GujaratiA+GujaratiA+Serbian_Bosnia @ 3.649428
26 Belarusian+Burusho+GujaratiA+Pathan @ 3.673807
27 Chechen+GujaratiA+GujaratiA+Tajik_Pomiri @ 3.689365
28 GujaratiA+GujaratiA+Kumyk+Tajik_Pomiri @ 3.692071
29 Burusho+Czech+GujaratiA+GujaratiA @ 3.721393
30 Burusho+GujaratiA+GujaratiA+Hungarian @ 3.730165
31 Burusho+GujaratiA+Kalash+Ukrainian_Poltava @ 3.740704
32 Burusho+Erzya+GujaratiA+Pathan @ 3.742094
33 Burusho+GujaratiA+Pathan+Ukrainian_Lviv @ 3.743045
34 Afghan_Pashtun+Pathan+Pathan+Tajik_Pomiri @ 3.748701
35 Afghan_Pashtun+GujaratiA+Tajik_Pomiri+Tajik_Pomiri @ 3.755588
36 Belarusian+Burusho+GujaratiA+GujaratiA @ 3.781476
37 Burusho+Croatian+GujaratiA+GujaratiA @ 3.782533
38 Burusho+GujaratiA+GujaratiA+Polish @ 3.787376
39 Burusho+GujaratiA+GujaratiA+Russian @ 3.802331
40 Burusho+GujaratiA+Pathan+Polish @ 3.80787
45212895 iterations.



South Indian Brahmin (soulblighter)

Least-squares method.

Using 1 population approximation:
1 Pathan @ 11.993918
2 GujaratiA @ 13.781533
3 Burusho @ 14.489088
4 Afghan_Pashtun @ 17.844671
5 Balochi @ 19.792445
6 Brahui @ 21.185523
7 Kalash @ 24.312152
8 Tajik_Pomiri @ 24.531013
9 Afghan_Uzbeki @ 25.36595
10 Afghan_Tadjik @ 25.744117
11 Tadjik @ 28.272162
12 Ust_Ishim @ 34.430826
13 Kostenki14 @ 39.703963
14 Turkmen @ 39.772473
15 Afghan_Turkmen @ 41.018679
16 Uzbek @ 43.189181
17 Iranian @ 44.01868
18 Uygur @ 47.659546
19 Lezgin @ 48.340821
20 Kurdish @ 48.489136
180 iterations.

Using 2 populations approximation:
1 Afghan_Pashtun+GujaratiA @ 10.233321
2 Afghan_Tadjik+GujaratiA @ 11.213055
3 Afghan_Uzbeki+GujaratiA @ 11.417599
4 Kalash+Ust_Ishim @ 11.55805
5 GujaratiA+Pathan @ 11.760814
6 Pathan+Pathan @ 11.993918
7 Burusho+Pathan @ 12.045595
8 Afghan_Pashtun+Burusho @ 12.077783
9 Brahui+Ust_Ishim @ 12.079415
10 Balochi+Ust_Ishim @ 12.386987
11 GujaratiA+Tadjik @ 12.94571
12 Afghan_Tadjik+Kalash @ 13.05091
13 Burusho+GujaratiA @ 13.058013
14 Afghan_Pashtun+Pathan @ 13.205842
15 GujaratiA+Tajik_Pomiri @ 13.226241
16 Afghan_Uzbeki+Kalash @ 13.624256
17 GujaratiA+GujaratiA @ 13.781533
18 GujaratiA+Ust_Ishim @ 13.854884
19 Afghan_Pashtun+Kalash @ 13.921218
20 Pathan+Ust_Ishim @ 14.472478
16290 iterations.

Using 3 populations approximation:
1 50% Pathan +25% GujaratiA +25% Ust_Ishim @ 7.067361
2 50% GujaratiA +25% Pathan +25% Ust_Ishim @ 7.164737
3 50% GujaratiA +25% Balochi +25% Ust_Ishim @ 7.230469
4 50% GujaratiA +25% Brahui +25% Ust_Ishim @ 7.505949
5 50% Balochi +25% Kalash +25% Malay @ 7.572951
6 50% Balochi +25% Cambodian +25% Kalash @ 7.686186
7 50% Pathan +25% Burusho +25% Ust_Ishim @ 7.686243
8 50% Pathan +25% Kalash +25% Ust_Ishim @ 7.74698
9 50% Kalash +25% Balochi +25% Malay @ 7.859099
10 50% Brahui +25% Kalash +25% Malay @ 7.880882
11 50% Pathan +25% Brahui +25% Ust_Ishim @ 7.888272
12 50% Pathan +25% Balochi +25% Ust_Ishim @ 7.915874
13 50% Pathan +25% Pathan +25% Ust_Ishim @ 7.927769
14 50% Brahui +25% Cambodian +25% Kalash @ 7.933298
15 50% GujaratiA +25% Burusho +25% Ust_Ishim @ 7.939686
16 50% GujaratiA +25% Afghan_Pashtun +25% Ust_Ishim @ 7.994166
17 50% Kalash +25% Balochi +25% Cambodian @ 8.026492
18 50% Balochi +25% Kalash +25% Thai @ 8.062834
19 50% Kalash +25% Brahui +25% Malay @ 8.114574
20 50% GujaratiA +25% GujaratiA +25% Ust_Ishim @ 8.185789
1718820 iterations.

Using 4 populations approximation:
1 GujaratiA+Pathan+Pathan+Ust_Ishim @ 7.067361
2 Balochi+GujaratiA+Pathan+Ust_Ishim @ 7.094115
3 GujaratiA+GujaratiA+Pathan+Ust_Ishim @ 7.164737
4 Brahui+GujaratiA+Pathan+Ust_Ishim @ 7.220675
5 Balochi+GujaratiA+GujaratiA+Ust_Ishim @ 7.230469
6 Balochi+Burusho+GujaratiA+Ust_Ishim @ 7.263572
7 Burusho+GujaratiA+Pathan+Ust_Ishim @ 7.342654
8 Brahui+Burusho+GujaratiA+Ust_Ishim @ 7.457568
9 Brahui+GujaratiA+GujaratiA+Ust_Ishim @ 7.505949
10 Balochi+Balochi+Kalash+Malay @ 7.572951
11 Balochi+Burusho+Pathan+Ust_Ishim @ 7.573368
12 Brahui+Burusho+Pathan+Ust_Ishim @ 7.613398
13 Brahui+Kalash+Malay+Pathan @ 7.631194
14 Balochi+Kalash+Malay+Pathan @ 7.661663
15 Balochi+Balochi+Cambodian+Kalash @ 7.686186
16 Burusho+Pathan+Pathan+Ust_Ishim @ 7.686243
17 Balochi+Brahui+Kalash+Malay @ 7.703678
18 Brahui+Cambodian+Kalash+Pathan @ 7.718915
19 Kalash+Pathan+Pathan+Ust_Ishim @ 7.74698
20 Balochi+Cambodian+Kalash+Pathan @ 7.777987
21 Balochi+Brahui+Cambodian+Kalash @ 7.786209
22 Balochi+Kalash+Kalash+Malay @ 7.859099
23 Brahui+Brahui+Kalash+Malay @ 7.880882
24 Brahui+Pathan+Pathan+Ust_Ishim @ 7.888272
25 Balochi+Pathan+Pathan+Ust_Ishim @ 7.915874
26 Brahui+Kalash+Pathan+Thai @ 7.926015
27 Pathan+Pathan+Pathan+Ust_Ishim @ 7.927769
28 Brahui+Brahui+Cambodian+Kalash @ 7.933298
29 Burusho+GujaratiA+GujaratiA+Ust_Ishim @ 7.939686
30 Afghan_Pashtun+GujaratiA+Kalash+Ust_Ishim @ 7.948977
31 Balochi+Kalash+Pathan+Thai @ 7.993667
32 Afghan_Pashtun+GujaratiA+GujaratiA+Ust_Ishim @ 7.994166
33 Balochi+Cambodian+Kalash+Kalash @ 8.026492
34 Balochi+GujaratiA+Kalash+Thai @ 8.051033
35 Balochi+Balochi+Kalash+Thai @ 8.062834
36 Afghan_Pashtun+Brahui+GujaratiA+Ust_Ishim @ 8.105192
37 GujaratiA+Kalash+Pathan+Ust_Ishim @ 8.108344
38 Brahui+Kalash+Kalash+Malay @ 8.114574
39 Brahui+GujaratiA+Kalash+Thai @ 8.123426
40 Balochi+Brahui+Kalash+Thai @ 8.148332
10293373 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 Pathan @ 11.868488
2 Burusho @ 13.648874
3 GujaratiA @ 14.180732
4 Afghan_Pashtun @ 16.723634
5 Balochi @ 17.955077
6 Afghan_Tadjik @ 19.227609
7 Brahui @ 19.343886
8 Afghan_Uzbeki @ 20.592172
9 Tadjik @ 25.74141
10 Kalash @ 26.164058
11 Uygur @ 28.438804
12 Ust_Ishim @ 28.804622
13 Turkmen @ 29.050081
14 Uzbek @ 29.476947
15 Iranian @ 31.303744
16 Kostenki14 @ 31.745043
17 Tajik_Pomiri @ 34.523064
18 Kumyk @ 38.967205
19 Nogai @ 39.132024
20 Afghan_Turkmen @ 39.338833
180 iterations.

Using 2 populations approximation:
1 GujaratiA+Pathan @ 9.998789
2 Pathan+Ust_Ishim @ 10.40035
3 Afghan_Pashtun+GujaratiA @ 10.663918
4 Burusho+GujaratiA @ 11.167739
5 Balochi+Ust_Ishim @ 11.285773
6 Afghan_Tadjik+GujaratiA @ 11.317934
7 GujaratiA+Ust_Ishim @ 11.497094
8 Kalash+Ust_Ishim @ 11.514398
9 Burusho+Pathan @ 11.865353
10 Pathan+Pathan @ 11.868488
11 Afghan_Uzbeki+GujaratiA @ 11.937927
12 Balochi+GujaratiA @ 11.963332
13 Burusho+Ust_Ishim @ 12.073275
14 Brahui+GujaratiA @ 12.893995
15 Afghan_Pashtun+Ust_Ishim @ 13.055145
16 GujaratiA+Tadjik @ 13.114792
17 GujaratiA+Tajik_Pomiri @ 13.425655
18 Brahui+Ust_Ishim @ 13.577938
19 Burusho+Burusho @ 13.648874
20 Kostenki14+Pathan @ 13.723214
16290 iterations.

Using 3 populations approximation:
1 50% GujaratiA +25% Balochi +25% Malay @ 6.804885
2 50% Balochi +25% GujaratiA +25% Malay @ 6.835817
3 50% Pathan +25% Brahui +25% Malay @ 6.872252
4 50% Pathan +25% Balochi +25% Malay @ 6.9896
5 50% Balochi +25% Malay +25% Pathan @ 6.998729
6 50% Balochi +25% Kalash +25% Malay @ 7.024876
7 50% Pathan +25% Kalash +25% Malay @ 7.123633
8 50% GujaratiA +25% Brahui +25% Malay @ 7.13861
9 50% Pathan +25% GujaratiA +25% Ust_Ishim @ 7.223089
10 50% Brahui +25% Malay +25% Pathan @ 7.232835
11 50% GujaratiA +25% Pathan +25% Ust_Ishim @ 7.29967
12 50% GujaratiA +25% Balochi +25% Cambodian @ 7.317743
13 50% Kalash +25% Balochi +25% Malay @ 7.329945
14 50% Pathan +25% GujaratiA +25% Malay @ 7.393158
15 50% Balochi +25% Cambodian +25% GujaratiA @ 7.524525
16 50% Kalash +25% Afghan_Pashtun +25% Malay @ 7.591939
17 50% GujaratiA +25% Brahui +25% Cambodian @ 7.603477
18 50% GujaratiA +25% Afghan_Pashtun +25% Ust_Ishim @ 7.634954
19 50% Balochi +25% Burusho +25% Malay @ 7.653336
20 50% GujaratiA +25% Balochi +25% Thai @ 7.669704
2915910 iterations.

Using 4 populations approximation:
1 Balochi+Kalash+Malay+Pathan @ 6.286502
2 Brahui+Kalash+Malay+Pathan @ 6.388679
3 Balochi+GujaratiA+Malay+Pathan @ 6.395071
4 Brahui+GujaratiA+Malay+Pathan @ 6.401929
5 Balochi+GujaratiA+Kalash+Malay @ 6.701373
6 Balochi+GujaratiA+GujaratiA+Malay @ 6.804885
7 Balochi+Balochi+GujaratiA+Malay @ 6.835817
8 Afghan_Pashtun+Brahui+Kalash+Malay @ 6.86483
9 Brahui+Malay+Pathan+Pathan @ 6.872252
10 Balochi+Malay+Pathan+Pathan @ 6.9896
11 Balochi+Balochi+Malay+Pathan @ 6.998729
12 Afghan_Pashtun+Balochi+Kalash+Malay @ 7.013556
13 Balochi+Balochi+Kalash+Malay @ 7.024876
14 Balochi+Brahui+Malay+Pathan @ 7.064441
15 Brahui+Cambodian+GujaratiA+Pathan @ 7.107139
16 Balochi+Cambodian+GujaratiA+Pathan @ 7.115543
17 Kalash+Malay+Pathan+Pathan @ 7.123633
18 Brahui+GujaratiA+Kalash+Malay @ 7.125809
19 Brahui+GujaratiA+GujaratiA+Malay @ 7.13861
20 GujaratiA+Pathan+Pathan+Ust_Ishim @ 7.223089
21 Brahui+Brahui+Malay+Pathan @ 7.232835
22 Afghan_Pashtun+Brahui+GujaratiA+Malay @ 7.251091
23 Balochi+Brahui+GujaratiA+Malay @ 7.263854
24 Brahui+Burusho+Malay+Pathan @ 7.264482
25 Balochi+Burusho+Malay+Pathan @ 7.292676
26 GujaratiA+GujaratiA+Pathan+Ust_Ishim @ 7.29967
27 Balochi+Cambodian+GujaratiA+GujaratiA @ 7.317743
28 Balochi+Kalash+Kalash+Malay @ 7.329945
29 GujaratiA+Malay+Pathan+Pathan @ 7.393158
30 Balochi+Cambodian+Kalash+Pathan @ 7.396264
31 Balochi+Burusho+GujaratiA+Malay @ 7.408872
32 Balochi+GujaratiA+Pathan+Ust_Ishim @ 7.430152
33 Afghan_Pashtun+Balochi+GujaratiA+Malay @ 7.431803
34 Balochi+Burusho+Kalash+Malay @ 7.451603
35 Brahui+Cambodian+Kalash+Pathan @ 7.475269
36 Balochi+Cambodian+GujaratiA+Kalash @ 7.500596
37 Brahui+Kalash+Malay+Tajik_Pomiri @ 7.518946
38 Balochi+Balochi+Cambodian+GujaratiA @ 7.524525
39 Brahui+GujaratiA+Pathan+Ust_Ishim @ 7.54593
40 Balochi+Brahui+Kalash+Malay @ 7.555654
45212895 iterations.



I'll fool around with it later and see if what kind of made up South Asian proxy would do.

Sapporo
04-29-2015, 06:39 PM
my results:

53.62% Hindu_Kush
11.52% Steppe
9.16% WHG-UHG
9.11% Near_Eastern
4.71% SE-Asian
3.31% East_Asian
3.08% Oceanian
3.00% Siberian
1.99% Amerindian
0.51% Sub-Saharan

Thanks Dr_McNinja!

Could you run my oracle if you get a chance?

Dr_McNinja
04-29-2015, 06:45 PM
^ The Gaussian method works better sometimes in this one like with Malay instead of Ust-Ishim for South Indian.

Dr_McNinja
04-29-2015, 06:46 PM
HRP0341:

Least-squares method.

Using 1 population approximation:
1 Pathan @ 8.085399
2 Afghan_Pashtun @ 8.203849
3 Tajik_Pomiri @ 14.63141
4 Burusho @ 15.063215
5 GujaratiA @ 16.800138
6 Balochi @ 18.451506
7 Afghan_Uzbeki @ 18.929778
8 Afghan_Tadjik @ 19.351155
9 Tadjik @ 20.218283
10 Brahui @ 20.598403
11 Kalash @ 25.015219
12 Turkmen @ 33.834172
13 Afghan_Turkmen @ 35.211725
14 Ust_Ishim @ 37.664497
15 Iranian @ 38.23467
16 Uzbek @ 38.242714
17 Kostenki14 @ 38.524092
18 Lezgin @ 40.397922
19 Kurdish @ 42.392841
20 Kumyk @ 42.595407
180 iterations.

Using 2 populations approximation:
1 Afghan_Pashtun+Pathan @ 3.096691
2 GujaratiA+Tadjik @ 4.298871
3 Afghan_Pashtun+GujaratiA @ 5.031231
4 Pathan+Tajik_Pomiri @ 5.045481
5 GujaratiA+Tajik_Pomiri @ 5.2196
6 Afghan_Tadjik+GujaratiA @ 5.2672
7 Afghan_Pashtun+Burusho @ 5.365786
8 Afghan_Uzbeki+GujaratiA @ 5.828473
9 Kalash+Tadjik @ 5.834942
10 Burusho+Tajik_Pomiri @ 6.315241
11 Balochi+Tajik_Pomiri @ 6.40206
12 Afghan_Tadjik+Kalash @ 6.59699
13 Afghan_Tadjik+Pathan @ 6.86928
14 Brahui+Tajik_Pomiri @ 6.917641
15 Pathan+Tadjik @ 7.098876
16 Afghan_Uzbeki+Pathan @ 7.150056
17 Burusho+Tadjik @ 7.693463
18 Afghan_Uzbeki+Kalash @ 7.772588
19 Pathan+Pathan @ 8.085399
20 Afghan_Pashtun+Afghan_Pashtun @ 8.203849
16290 iterations.

Using 3 populations approximation:
1 50% GujaratiA +25% Burusho +25% Chechen @ 2.66587
2 50% Burusho +25% GujaratiA +25% Lezgin @ 2.800508
3 50% GujaratiA +25% Burusho +25% Lezgin @ 2.906359
4 50% Burusho +25% Chechen +25% GujaratiA @ 2.959681
5 50% GujaratiA +25% Balkar +25% Burusho @ 2.963318
6 50% Afghan_Pashtun +25% Afghan_Pashtun +25% GujaratiA @ 2.990495
7 50% GujaratiA +25% Burusho +25% North_Ossetian @ 3.011633
8 50% Afghan_Pashtun +25% Pathan +25% Pathan @ 3.096691
9 50% GujaratiA +25% Adygei +25% Burusho @ 3.140679
10 50% Afghan_Pashtun +25% GujaratiA +25% Pathan @ 3.210528
11 50% Afghan_Pashtun +25% Afghan_Pashtun +25% Kalash @ 3.346716
12 50% Pathan +25% Pathan +25% Tadjik @ 3.348625
13 50% Afghan_Pashtun +25% Burusho +25% Pathan @ 3.352791
14 50% Pathan +25% Afghan_Pashtun +25% Tajik_Pomiri @ 3.358399
15 50% GujaratiA +25% Afghan_Pashtun +25% Tadjik @ 3.444495
16 50% GujaratiA +25% Burusho +25% Kumyk @ 3.55615
17 50% Pathan +25% Afghan_Tadjik +25% Pathan @ 3.618975
18 50% GujaratiA +25% Afghan_Tadjik +25% Tajik_Pomiri @ 3.752019
19 50% Burusho +25% Adygei +25% GujaratiA @ 3.756902
20 50% GujaratiA +25% Nogai +25% Pathan @ 3.811292
1442222 iterations.

Using 4 populations approximation:
1 Burusho+Chechen+GujaratiA+GujaratiA @ 2.66587
2 Burusho+Burusho+GujaratiA+Lezgin @ 2.800508
3 Burusho+GujaratiA+GujaratiA+Lezgin @ 2.906359
4 Afghan_Pashtun+GujaratiA+Pathan+Tajik_Pomiri @ 2.917657
5 Burusho+Burusho+Chechen+GujaratiA @ 2.959681
6 Afghan_Pashtun+GujaratiA+Pathan+Tadjik @ 2.961103
7 Balkar+Burusho+GujaratiA+GujaratiA @ 2.963318
8 Afghan_Pashtun+Afghan_Pashtun+Afghan_Pashtun+Gujar atiA @ 2.990495
9 Burusho+GujaratiA+GujaratiA+North_Ossetian @ 3.011633
10 Burusho+GujaratiA+Lezgin+Pathan @ 3.055094
11 Afghan_Pashtun+Afghan_Pashtun+Pathan+Pathan @ 3.096691
12 Adygei+Burusho+GujaratiA+GujaratiA @ 3.140679
13 Afghan_Pashtun+Afghan_Pashtun+GujaratiA+Pathan @ 3.210528
14 Afghan_Pashtun+Afghan_Tadjik+GujaratiA+Pathan @ 3.233179
15 Afghan_Pashtun+Afghan_Pashtun+Afghan_Pashtun+Kalas h @ 3.346716
16 Pathan+Pathan+Pathan+Tadjik @ 3.348625
17 Afghan_Pashtun+Afghan_Pashtun+Burusho+Pathan @ 3.352791
18 Afghan_Pashtun+Pathan+Pathan+Tajik_Pomiri @ 3.358399
19 Afghan_Tadjik+GujaratiA+Pathan+Tajik_Pomiri @ 3.368651
20 Afghan_Pashtun+Burusho+Pathan+Tajik_Pomiri @ 3.425837
21 Afghan_Pashtun+GujaratiA+GujaratiA+Tadjik @ 3.444495
22 Burusho+Chechen+GujaratiA+Pathan @ 3.473692
23 Burusho+GujaratiA+GujaratiA+Kumyk @ 3.55615
24 GujaratiA+Kalash+Nogai+Pathan @ 3.597869
25 Afghan_Tadjik+Pathan+Pathan+Pathan @ 3.618975
26 Afghan_Pashtun+Afghan_Uzbeki+GujaratiA+Pathan @ 3.666766
27 Afghan_Uzbeki+GujaratiA+Pathan+Tajik_Pomiri @ 3.692602
28 Afghan_Tadjik+GujaratiA+GujaratiA+Tajik_Pomiri @ 3.752019
29 Adygei+Burusho+Burusho+GujaratiA @ 3.756902
30 GujaratiA+GujaratiA+Nogai+Pathan @ 3.811292
31 Balkar+Burusho+Burusho+GujaratiA @ 3.855547
32 Afghan_Pashtun+Kalash+Pathan+Tadjik @ 3.870879
33 Burusho+Burusho+GujaratiA+North_Ossetian @ 3.87158
34 Afghan_Tadjik+Balochi+GujaratiA+Tajik_Pomiri @ 3.874964
35 Burusho+Burusho+Lezgin+Pathan @ 3.908857
36 Afghan_Pashtun+Afghan_Pashtun+GujaratiA+Tajik_Pomi ri @ 3.909473
37 Afghan_Pashtun+Burusho+GujaratiA+Tadjik @ 3.944148
38 Burusho+GujaratiA+Kumyk+Pathan @ 3.956248
39 GujaratiA+GujaratiA+Tadjik+Tajik_Pomiri @ 3.956275
40 Balkar+Burusho+GujaratiA+Kalash @ 3.981397
5158335 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 Pathan @ 3.917971
2 Afghan_Pashtun @ 5.513271
3 Afghan_Uzbeki @ 11.745913
4 Afghan_Tadjik @ 11.889596
5 Tadjik @ 13.007038
6 Tajik_Pomiri @ 13.16676
7 Burusho @ 14.498699
8 Balochi @ 14.563678
9 GujaratiA @ 18.439671
10 Turkmen @ 19.598101
11 Brahui @ 20.923379
12 Iranian @ 21.813715
13 Uzbek @ 22.213517
14 Afghan_Turkmen @ 22.254045
15 Kumyk @ 24.086251
16 Uygur @ 24.817662
17 Kurdish @ 25.693724
18 Lezgin @ 26.367423
19 Chechen @ 27.29074
20 Turkish @ 27.570122
180 iterations.

Using 2 populations approximation:
1 Afghan_Pashtun+Pathan @ 0.04326
2 Afghan_Pashtun+GujaratiA @ 2.616156
3 GujaratiA+Tajik_Pomiri @ 2.781342
4 GujaratiA+Tadjik @ 3.484318
5 Pathan+Pathan @ 3.917971
6 Pathan+Tajik_Pomiri @ 4.096812
7 Afghan_Pashtun+Burusho @ 4.304713
8 Afghan_Pashtun+Kalash @ 4.646144
9 Afghan_Tadjik+GujaratiA @ 5.173518
10 Afghan_Pashtun+Balochi @ 5.20876
11 Pathan+Tadjik @ 5.335511
12 Afghan_Uzbeki+GujaratiA @ 5.481435
13 Afghan_Pashtun+Afghan_Pashtun @ 5.513271
14 Afghan_Tadjik+Pathan @ 5.543777
15 Burusho+Tajik_Pomiri @ 5.627904
16 Afghan_Tadjik+Kalash @ 5.664786
17 Afghan_Uzbeki+Pathan @ 5.667894
18 Afghan_Pashtun+Brahui @ 5.716822
19 Kalash+Tadjik @ 5.920768
20 Burusho+Tadjik @ 6.332012
16290 iterations.

Using 3 populations approximation:
1 50% GujaratiA +25% Burusho +25% Lezgin @ 0.006245
2 50% GujaratiA +25% Burusho +25% Chechen @ 0.012731
3 50% Afghan_Pashtun +25% GujaratiA +25% Pathan @ 0.023888
4 50% Afghan_Pashtun +25% Pathan +25% Pathan @ 0.04326
5 50% Pathan +25% Afghan_Pashtun +25% Pathan @ 0.045959
6 50% GujaratiA +25% Adygei +25% Burusho @ 0.074553
7 50% GujaratiA +25% Burusho +25% North_Ossetian @ 0.149926
8 50% GujaratiA +25% Balkar +25% Burusho @ 0.152842
9 50% Afghan_Pashtun +25% Kalash +25% Pathan @ 0.274601
10 50% Pathan +25% Pathan +25% Tajik_Pomiri @ 0.285568
11 50% Pathan +25% Pathan +25% Tadjik @ 0.291563
12 50% Pathan +25% GujaratiA +25% Tadjik @ 0.301307
13 50% Burusho +25% GujaratiA +25% Lezgin @ 0.346615
14 50% GujaratiA +25% Burusho +25% Kumyk @ 0.602695
15 50% Afghan_Pashtun +25% Afghan_Pashtun +25% GujaratiA @ 1.241948
16 50% Pathan +25% Afghan_Pashtun +25% Tajik_Pomiri @ 1.348553
17 50% GujaratiA +25% Afghan_Pashtun +25% Tajik_Pomiri @ 1.564992
18 50% Burusho +25% Chechen +25% GujaratiA @ 1.712779
19 50% Afghan_Pashtun +25% Afghan_Pashtun +25% Kalash @ 1.730561
20 50% Pathan +25% GujaratiA +25% Tajik_Pomiri @ 1.762575
2915910 iterations.

Using 4 populations approximation:
1 Burusho+GujaratiA+GujaratiA+Lezgin @ 0.006245
2 Burusho+Chechen+GujaratiA+GujaratiA @ 0.012731
3 Afghan_Pashtun+GujaratiA+Pathan+Tajik_Pomiri @ 0.022231
4 Afghan_Pashtun+Afghan_Pashtun+GujaratiA+Pathan @ 0.023888
5 Burusho+GujaratiA+Lezgin+Pathan @ 0.043027
6 Afghan_Pashtun+Afghan_Pashtun+Pathan+Pathan @ 0.04326
7 Afghan_Pashtun+Pathan+Pathan+Pathan @ 0.045959
8 Adygei+Burusho+GujaratiA+GujaratiA @ 0.074553
9 Burusho+Chechen+GujaratiA+Kalash @ 0.079405
10 Burusho+GujaratiA+Kalash+Lezgin @ 0.143993
11 Burusho+GujaratiA+GujaratiA+North_Ossetian @ 0.149926
12 Balkar+Burusho+GujaratiA+GujaratiA @ 0.152842
13 Balkar+Burusho+GujaratiA+Kalash @ 0.182229
14 Burusho+GujaratiA+Kalash+North_Ossetian @ 0.20707
15 Adygei+Burusho+GujaratiA+Kalash @ 0.223295
16 Burusho+Chechen+GujaratiA+Pathan @ 0.230973
17 Afghan_Pashtun+Afghan_Pashtun+Kalash+Pathan @ 0.274601
18 Pathan+Pathan+Pathan+Tajik_Pomiri @ 0.285568
19 Pathan+Pathan+Pathan+Tadjik @ 0.291563
20 GujaratiA+Pathan+Pathan+Tadjik @ 0.301307
21 Burusho+Burusho+GujaratiA+Lezgin @ 0.346615
22 Afghan_Pashtun+Balochi+GujaratiA+Tajik_Pomiri @ 0.403149
23 Burusho+GujaratiA+GujaratiA+Kumyk @ 0.602695
24 Afghan_Pashtun+Afghan_Pashtun+Afghan_Pashtun+Gujar atiA @ 1.241948
25 Afghan_Pashtun+Pathan+Pathan+Tajik_Pomiri @ 1.348553
26 Afghan_Pashtun+GujaratiA+Pathan+Tadjik @ 1.476577
27 Burusho+GujaratiA+Kalash+Kumyk @ 1.55535
28 Afghan_Pashtun+GujaratiA+GujaratiA+Tajik_Pomiri @ 1.564992
29 Afghan_Pashtun+Brahui+GujaratiA+Tajik_Pomiri @ 1.617799
30 Balkar+GujaratiA+Kalash+Pathan @ 1.702838
31 Burusho+Burusho+Chechen+GujaratiA @ 1.712779
32 Burusho+GujaratiA+Kumyk+Pathan @ 1.712941
33 Afghan_Pashtun+Afghan_Pashtun+Afghan_Pashtun+Kalas h @ 1.730561
34 GujaratiA+Pathan+Pathan+Tajik_Pomiri @ 1.762575
35 GujaratiA+Kalash+North_Ossetian+Pathan @ 1.81963
36 Afghan_Tadjik+Pathan+Pathan+Pathan @ 1.876974
37 Adygei+Burusho+GujaratiA+Pathan @ 1.977013
38 Afghan_Pashtun+Afghan_Pashtun+Burusho+Pathan @ 2.067922
39 Afghan_Pashtun+GujaratiA+GujaratiA+Tadjik @ 2.096146
40 Burusho+GujaratiA+North_Ossetian+Pathan @ 2.166314
45212895 iterations.



Me:

Least-squares method.

Using 1 population approximation:
1 Pathan @ 9.066463
2 Afghan_Pashtun @ 9.899893
3 Burusho @ 14.528021
4 GujaratiA @ 16.519552
5 Tajik_Pomiri @ 17.06848
6 Balochi @ 18.450078
7 Afghan_Uzbeki @ 18.515071
8 Afghan_Tadjik @ 19.144153
9 Brahui @ 20.417906
10 Tadjik @ 20.9656
11 Kalash @ 25.710974
12 Turkmen @ 33.561468
13 Ust_Ishim @ 34.819155
14 Afghan_Turkmen @ 35.07112
15 Kostenki14 @ 37.13898
16 Uzbek @ 37.873309
17 Iranian @ 37.975455
18 Lezgin @ 41.842915
19 Kurdish @ 42.34192
20 Kumyk @ 43.312183
180 iterations.

Using 2 populations approximation:
1 Afghan_Tadjik+GujaratiA @ 4.36859
2 Afghan_Uzbeki+GujaratiA @ 4.640285
3 GujaratiA+Tadjik @ 5.403192
4 Afghan_Pashtun+Pathan @ 5.775414
5 Afghan_Pashtun+GujaratiA @ 5.999261
6 Afghan_Pashtun+Burusho @ 6.018762
7 Afghan_Tadjik+Pathan @ 7.184444
8 Afghan_Uzbeki+Pathan @ 7.195312
9 Afghan_Tadjik+Kalash @ 7.561909
10 GujaratiA+Tajik_Pomiri @ 7.822859
11 Burusho+Tadjik @ 8.16453
12 Kalash+Tadjik @ 8.190345
13 Afghan_Tadjik+Burusho @ 8.22221
14 Afghan_Uzbeki+Kalash @ 8.384229
15 Burusho+Tajik_Pomiri @ 8.401854
16 Pathan+Tajik_Pomiri @ 8.514566
17 Afghan_Uzbeki+Burusho @ 8.5587
18 Afghan_Tadjik+Brahui @ 8.590836
19 Pathan+Tadjik @ 8.613726
20 Afghan_Tadjik+Balochi @ 8.624887
16290 iterations.

Using 3 populations approximation:
1 50% GujaratiA +25% Afghan_Pashtun +25% Afghan_Tadjik @ 4.204392
2 50% Afghan_Tadjik +25% GujaratiA +25% GujaratiA @ 4.36859
3 50% GujaratiA +25% Afghan_Pashtun +25% Afghan_Uzbeki @ 4.399031
4 50% GujaratiA +25% Burusho +25% Kumyk @ 4.405284
5 50% GujaratiA +25% Balkar +25% Burusho @ 4.421146
6 50% GujaratiA +25% Burusho +25% North_Ossetian @ 4.432877
7 50% GujaratiA +25% Afghan_Tadjik +25% Afghan_Uzbeki @ 4.443596
8 50% Pathan +25% GujaratiA +25% Turkmen @ 4.484219
9 50% Burusho +25% GujaratiA +25% Kumyk @ 4.612149
10 50% GujaratiA +25% Afghan_Tadjik +25% Tadjik @ 4.6174
11 50% GujaratiA +25% Pathan +25% Turkmen @ 4.636675
12 50% GujaratiA +25% Nogai +25% Pathan @ 4.639924
13 50% Afghan_Uzbeki +25% GujaratiA +25% GujaratiA @ 4.640285
14 50% GujaratiA +25% Afghan_Uzbeki +25% Tadjik @ 4.664409
15 50% GujaratiA +25% Burusho +25% Nogai @ 4.67569
16 50% GujaratiA +25% GujaratiA +25% Nogai @ 4.678696
17 50% GujaratiA +25% Adygei +25% Burusho @ 4.717988
18 50% Balochi +25% Tajik_Pomiri +25% Ust_Ishim @ 4.723363
19 50% GujaratiA +25% Afghan_Pashtun +25% Tadjik @ 4.749796
20 50% Pathan +25% Pathan +25% Ust_Ishim @ 4.830371
1621156 iterations.

Using 4 populations approximation:
1 Afghan_Pashtun+Afghan_Tadjik+GujaratiA+GujaratiA @ 4.204392
2 Afghan_Pashtun+Afghan_Tadjik+GujaratiA+Pathan @ 4.243464
3 Afghan_Tadjik+Afghan_Tadjik+GujaratiA+GujaratiA @ 4.36859
4 Afghan_Pashtun+Afghan_Uzbeki+GujaratiA+Pathan @ 4.37135
5 Afghan_Pashtun+Afghan_Uzbeki+GujaratiA+GujaratiA @ 4.399031
6 Burusho+GujaratiA+GujaratiA+Kumyk @ 4.405284
7 Balkar+Burusho+GujaratiA+GujaratiA @ 4.421146
8 Burusho+GujaratiA+GujaratiA+North_Ossetian @ 4.432877
9 Afghan_Tadjik+Afghan_Uzbeki+GujaratiA+GujaratiA @ 4.443596
10 Afghan_Pashtun+Balochi+Pathan+Ust_Ishim @ 4.459412
11 Afghan_Pashtun+Brahui+Pathan+Ust_Ishim @ 4.47599
12 GujaratiA+Pathan+Pathan+Turkmen @ 4.484219
13 Burusho+Burusho+GujaratiA+Kumyk @ 4.612149
14 Afghan_Tadjik+GujaratiA+GujaratiA+Tadjik @ 4.6174
15 GujaratiA+GujaratiA+Pathan+Turkmen @ 4.636675
16 GujaratiA+GujaratiA+Nogai+Pathan @ 4.639924
17 Afghan_Uzbeki+Afghan_Uzbeki+GujaratiA+GujaratiA @ 4.640285
18 Balochi+Kalash+Tadjik+Ust_Ishim @ 4.661723
19 Afghan_Uzbeki+GujaratiA+GujaratiA+Tadjik @ 4.664409
20 Burusho+GujaratiA+GujaratiA+Nogai @ 4.67569
21 GujaratiA+GujaratiA+GujaratiA+Nogai @ 4.678696
22 Adygei+Burusho+GujaratiA+GujaratiA @ 4.717988
23 Balochi+Balochi+Tajik_Pomiri+Ust_Ishim @ 4.723363
24 Afghan_Pashtun+Afghan_Tadjik+Burusho+GujaratiA @ 4.744516
25 Afghan_Pashtun+GujaratiA+GujaratiA+Tadjik @ 4.749796
26 Afghan_Pashtun+Balochi+Burusho+Ust_Ishim @ 4.778705
27 Brahui+Pathan+Tajik_Pomiri+Ust_Ishim @ 4.812793
28 Brahui+Kalash+Tadjik+Ust_Ishim @ 4.816821
29 Balochi+Brahui+Tajik_Pomiri+Ust_Ishim @ 4.823856
30 Pathan+Pathan+Pathan+Ust_Ishim @ 4.830371
31 Afghan_Tadjik+Pathan+Pathan+Pathan @ 4.870845
32 Burusho+Burusho+GujaratiA+North_Ossetian @ 4.893626
33 Balkar+Burusho+Burusho+GujaratiA @ 4.899848
34 Afghan_Pashtun+Brahui+Burusho+Ust_Ishim @ 4.901868
35 Balochi+GujaratiA+GujaratiA+Nogai @ 4.919928
36 Afghan_Pashtun+Burusho+GujaratiA+Tadjik @ 4.962893
37 Balochi+Pathan+Tajik_Pomiri+Ust_Ishim @ 4.966544
38 Afghan_Pashtun+GujaratiA+GujaratiA+Turkmen @ 4.986061
39 Adygei+Burusho+Burusho+GujaratiA @ 4.988772
40 Brahui+GujaratiA+GujaratiA+Nogai @ 4.994715
7336972 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 Pathan @ 5.542688
2 Afghan_Pashtun @ 8.781277
3 Afghan_Tadjik @ 13.51246
4 Afghan_Uzbeki @ 13.97908
5 Burusho @ 14.134159
6 Balochi @ 14.410568
7 Tadjik @ 16.919823
8 Brahui @ 18.370004
9 Tajik_Pomiri @ 19.792121
10 GujaratiA @ 20.756883
11 Turkmen @ 22.238187
12 Uzbek @ 24.658045
13 Iranian @ 24.813547
14 Uygur @ 26.014212
15 Afghan_Turkmen @ 26.779927
16 Kumyk @ 29.316166
17 Nogai @ 31.526568
18 Kurdish @ 31.992588
19 Turkish @ 32.249464
20 North_Ossetian @ 33.870788
180 iterations.

Using 2 populations approximation:
1 Afghan_Pashtun+GujaratiA @ 4.708573
2 Afghan_Tadjik+GujaratiA @ 5.110452
3 Afghan_Uzbeki+GujaratiA @ 5.419849
4 Pathan+Pathan @ 5.542688
5 Afghan_Pashtun+Pathan @ 5.60992
6 GujaratiA+Tadjik @ 5.686394
7 Afghan_Pashtun+Burusho @ 6.088988
8 GujaratiA+Tajik_Pomiri @ 6.517223
9 Burusho+Pathan @ 6.879978
10 Afghan_Tadjik+Pathan @ 7.328002
11 Afghan_Uzbeki+Pathan @ 7.67363
12 Afghan_Tadjik+Burusho @ 8.024254
13 Afghan_Pashtun+Brahui @ 8.032606
14 Afghan_Pashtun+Balochi @ 8.055773
15 Afghan_Pashtun+Kalash @ 8.391637
16 Afghan_Uzbeki+Burusho @ 8.417427
17 GujaratiA+Turkmen @ 8.447562
18 Afghan_Tadjik+Kalash @ 8.504594
19 Pathan+Tajik_Pomiri @ 8.676454
20 Pathan+Tadjik @ 8.683778
16290 iterations.

Using 3 populations approximation:
1 50% Pathan +25% Afghan_Tadjik +25% GujaratiA @ 3.70027
2 50% GujaratiA +25% Burusho +25% Kumyk @ 3.786801
3 50% Pathan +25% Afghan_Uzbeki +25% GujaratiA @ 3.944809
4 50% GujaratiA +25% Burusho +25% North_Ossetian @ 4.051354
5 50% GujaratiA +25% Balkar +25% Burusho @ 4.083342
6 50% GujaratiA +25% Adygei +25% Burusho @ 4.108518
7 50% GujaratiA +25% Afghan_Pashtun +25% Afghan_Tadjik @ 4.122238
8 50% GujaratiA +25% Burusho +25% Chechen @ 4.187253
9 50% GujaratiA +25% Afghan_Tadjik +25% Pathan @ 4.207162
10 50% GujaratiA +25% Burusho +25% Lezgin @ 4.243077
11 50% GujaratiA +25% Burusho +25% Iranian @ 4.259649
12 50% GujaratiA +25% Afghan_Pashtun +25% Afghan_Uzbeki @ 4.265664
13 50% GujaratiA +25% Abkhasian +25% Burusho @ 4.305877
14 50% GujaratiA +25% Afghan_Uzbeki +25% Pathan @ 4.346585
15 50% Pathan +25% GujaratiA +25% Tadjik @ 4.427812
16 50% GujaratiA +25% Burusho +25% Turkish @ 4.461554
17 50% GujaratiA +25% Burusho +25% Kurdish @ 4.506587
18 50% GujaratiA +25% Pathan +25% Turkmen @ 4.539864
19 50% GujaratiA +25% Pathan +25% Tadjik @ 4.552591
20 50% Afghan_Pashtun +25% Burusho +25% GujaratiA @ 4.560561
2915910 iterations.

Using 4 populations approximation:
1 Afghan_Tadjik+GujaratiA+Pathan+Pathan @ 3.70027
2 Burusho+GujaratiA+GujaratiA+Kumyk @ 3.786801
3 Afghan_Uzbeki+GujaratiA+Pathan+Pathan @ 3.944809
4 Burusho+GujaratiA+GujaratiA+North_Ossetian @ 4.051354
5 Balkar+Burusho+GujaratiA+GujaratiA @ 4.083342
6 Adygei+Burusho+GujaratiA+GujaratiA @ 4.108518
7 Afghan_Pashtun+Afghan_Tadjik+GujaratiA+GujaratiA @ 4.122238
8 Burusho+Chechen+GujaratiA+GujaratiA @ 4.187253
9 Afghan_Tadjik+GujaratiA+GujaratiA+Pathan @ 4.207162
10 Burusho+GujaratiA+GujaratiA+Lezgin @ 4.243077
11 Burusho+GujaratiA+GujaratiA+Iranian @ 4.259649
12 Afghan_Pashtun+Afghan_Uzbeki+GujaratiA+GujaratiA @ 4.265664
13 Abkhasian+Burusho+GujaratiA+GujaratiA @ 4.305877
14 Afghan_Uzbeki+GujaratiA+GujaratiA+Pathan @ 4.346585
15 GujaratiA+Pathan+Pathan+Tadjik @ 4.427812
16 Burusho+GujaratiA+GujaratiA+Turkish @ 4.461554
17 Burusho+GujaratiA+GujaratiA+Kurdish @ 4.506587
18 GujaratiA+GujaratiA+Pathan+Turkmen @ 4.539864
19 GujaratiA+GujaratiA+Pathan+Tadjik @ 4.552591
20 Afghan_Pashtun+Afghan_Pashtun+Burusho+GujaratiA @ 4.560561
21 Afghan_Pashtun+Afghan_Pashtun+GujaratiA+Pathan @ 4.579325
22 Afghan_Pashtun+GujaratiA+GujaratiA+Tadjik @ 4.58526
23 Afghan_Tadjik+Balochi+GujaratiA+Pathan @ 4.607685
24 Afghan_Pashtun+Burusho+Pathan+Pathan @ 4.633939
25 Burusho+Burusho+GujaratiA+Iranian @ 4.664634
26 Afghan_Tadjik+Pathan+Pathan+Pathan @ 4.666835
27 Burusho+GujaratiA+Iranian+Pathan @ 4.686613
28 Afghan_Tadjik+Brahui+GujaratiA+Pathan @ 4.704295
29 Afghan_Pashtun+Afghan_Pashtun+GujaratiA+GujaratiA @ 4.708573
30 Burusho+Georgian+GujaratiA+GujaratiA @ 4.712664
31 GujaratiA+GujaratiA+GujaratiA+Nogai @ 4.717765
32 Afghan_Pashtun+Afghan_Tadjik+GujaratiA+Pathan @ 4.757745
33 Burusho+Burusho+GujaratiA+Lezgin @ 4.773085
34 Afghan_Pashtun+Burusho+GujaratiA+Pathan @ 4.807539
35 Afghan_Pashtun+GujaratiA+Pathan+Pathan @ 4.815915
36 Afghan_Tadjik+Burusho+GujaratiA+Pathan @ 4.854664
37 Afghan_Tadjik+Balochi+GujaratiA+GujaratiA @ 4.85787
38 Afghan_Pashtun+Pathan+Pathan+Pathan @ 4.863344
39 Afghan_Uzbeki+Balochi+GujaratiA+Pathan @ 4.869147
40 Burusho+Burusho+GujaratiA+Kurdish @ 4.882946
45212895 iterations.

Dr_McNinja
04-29-2015, 06:50 PM
HRP0370 Afghan Pashtun:

Least-squares method.

Using 1 population approximation:
1 Afghan_Pashtun @ 6.834095
2 Tajik_Pomiri @ 10.809079
3 Tadjik @ 11.841791
4 Afghan_Uzbeki @ 13.299114
5 Afghan_Tadjik @ 13.918272
6 Pathan @ 18.754674
7 Balochi @ 25.101989
8 Turkmen @ 25.180032
9 Iranian @ 26.260465
10 Burusho @ 26.596133
11 Brahui @ 27.338741
12 GujaratiA @ 28.331295
13 Afghan_Turkmen @ 28.517757
14 Lezgin @ 29.38661
15 Kurdish @ 30.093792
16 Kumyk @ 30.626346
17 Uzbek @ 32.562381
18 Chechen @ 32.595126
19 Adygei @ 34.998482
20 Nogai @ 35.012805
180 iterations.

Using 2 populations approximation:
1 GujaratiA+Kumyk @ 3.887012
2 Kalash+Kumyk @ 4.207795
3 Balkar+Kalash @ 4.532841
4 Kalash+North_Ossetian @ 4.572179
5 Adygei+Kalash @ 4.989278
6 Kalash+Turkish @ 5.559095
7 Adygei+GujaratiA @ 5.567722
8 Chechen+GujaratiA @ 5.687203
9 GujaratiA+North_Ossetian @ 5.774508
10 Balkar+GujaratiA @ 5.863124
11 Chechen+Kalash @ 6.026541
12 Burusho+Kumyk @ 6.062065
13 GujaratiA+Lezgin @ 6.209444
14 Burusho+Lezgin @ 6.620502
15 Burusho+Chechen @ 6.829775
16 Afghan_Pashtun+Afghan_Pashtun @ 6.834095
17 Kumyk+Pathan @ 7.035129
18 Abkhasian+Kalash @ 7.192998
19 Brahui+Nogai @ 7.202451
20 Abkhasian+GujaratiA @ 7.278741
16290 iterations.

Using 3 populations approximation:
1 50% Tajik_Pomiri +25% GujaratiA +25% Iranian_Jewish @ 1.369529
2 50% Pathan +25% Tajik_Pomiri +25% Turkish @ 1.480057
3 50% Tajik_Pomiri +25% Kalash +25% Syrian @ 1.897581
4 50% Tajik_Pomiri +25% GujaratiA +25% Iranian_Jew @ 1.903062
5 50% Tajik_Pomiri +25% GujaratiA +25% Kurdish @ 2.071339
6 50% Tajik_Pomiri +25% Kalash +25% Lebanese_Muslim @ 2.107528
7 50% Tajik_Pomiri +25% Assyrian +25% GujaratiA @ 2.150202
8 50% Tajik_Pomiri +25% Iranian +25% Pathan @ 2.158802
9 50% Tajik_Pomiri +25% Assyrian +25% Kalash @ 2.166365
10 50% Tajik_Pomiri +25% Kalash +25% Lebanese @ 2.204418
11 50% Tajik_Pomiri +25% Armenian +25% Kalash @ 2.331054
12 50% Tajik_Pomiri +25% Kurdish +25% Pathan @ 2.529508
13 50% Tajik_Pomiri +25% Armenian +25% GujaratiA @ 2.545961
14 50% Tajik_Pomiri +25% Jordanian +25% Kalash @ 2.599286
15 50% Tajik_Pomiri +25% Iraqi_Jew +25% Kalash @ 2.608995
16 50% Tajik_Pomiri +25% Iraqi_Jewish +25% Kalash @ 2.628189
17 50% Tajik_Pomiri +25% GujaratiA +25% Iraqi_Jewish @ 2.656385
18 50% Tajik_Pomiri +25% Balochi +25% Iranian @ 2.754279
19 50% Tajik_Pomiri +25% Iranian_Jew +25% Kalash @ 2.755144
20 50% Tajik_Pomiri +25% Iranian_Jewish +25% Kalash @ 2.76811
1981759 iterations.

Using 4 populations approximation:
1 GujaratiA+Iranian_Jewish+Tajik_Pomiri+Tajik_Pomiri @ 1.369529
2 Pathan+Pathan+Tajik_Pomiri+Turkish @ 1.480057
3 Afghan_Pashtun+Kalash+Tajik_Pomiri+Turkish @ 1.793766
4 Kalash+Syrian+Tajik_Pomiri+Tajik_Pomiri @ 1.897581
5 GujaratiA+Iranian_Jew+Tajik_Pomiri+Tajik_Pomiri @ 1.903062
6 GujaratiA+Kurdish+Tajik_Pomiri+Tajik_Pomiri @ 2.071339
7 Kalash+Lebanese_Muslim+Tajik_Pomiri+Tajik_Pomiri @ 2.107528
8 Assyrian+GujaratiA+Tajik_Pomiri+Tajik_Pomiri @ 2.150202
9 GujaratiA+Kurdish+Tadjik+Tajik_Pomiri @ 2.156678
10 Iranian+Pathan+Tajik_Pomiri+Tajik_Pomiri @ 2.158802
11 Assyrian+Kalash+Tajik_Pomiri+Tajik_Pomiri @ 2.166365
12 Kalash+Lebanese+Tajik_Pomiri+Tajik_Pomiri @ 2.204418
13 GujaratiA+Iranian+Tadjik+Tajik_Pomiri @ 2.324722
14 Armenian+Kalash+Tajik_Pomiri+Tajik_Pomiri @ 2.331054
15 Kalash+Kurdish+Tadjik+Tajik_Pomiri @ 2.359816
16 Afghan_Pashtun+Kurdish+Pathan+Tajik_Pomiri @ 2.502234
17 Kurdish+Pathan+Tajik_Pomiri+Tajik_Pomiri @ 2.529508
18 Armenian+GujaratiA+Tajik_Pomiri+Tajik_Pomiri @ 2.545961
19 Afghan_Pashtun+Iranian+Pathan+Tajik_Pomiri @ 2.580776
20 Jordanian+Kalash+Tajik_Pomiri+Tajik_Pomiri @ 2.599286
21 Iraqi_Jew+Kalash+Tajik_Pomiri+Tajik_Pomiri @ 2.608995
22 Iraqi_Jewish+Kalash+Tajik_Pomiri+Tajik_Pomiri @ 2.628189
23 GujaratiA+Iraqi_Jewish+Tajik_Pomiri+Tajik_Pomiri @ 2.656385
24 Afghan_Pashtun+GujaratiA+Tajik_Pomiri+Turkish @ 2.673207
25 Chechen+GujaratiA+Kalash+Turkish @ 2.693879
26 Afghan_Pashtun+Armenian+GujaratiA+Tajik_Pomiri @ 2.706479
27 GujaratiA+Kalash+Lezgin+Turkish @ 2.732162
28 Afghan_Pashtun+Kalash+Lebanese_Muslim+Tajik_Pomiri @ 2.749818
29 Balochi+Iranian+Tajik_Pomiri+Tajik_Pomiri @ 2.754279
30 Iranian_Jew+Kalash+Tajik_Pomiri+Tajik_Pomiri @ 2.755144
31 Afghan_Pashtun+GujaratiA+Kurdish+Tajik_Pomiri @ 2.763569
32 Iranian_Jewish+Kalash+Tajik_Pomiri+Tajik_Pomiri @ 2.76811
33 Afghan_Pashtun+Balochi+Bulgarian+Pathan @ 2.794957
34 Afghan_Pashtun+Armenian+Kalash+Tajik_Pomiri @ 2.816797
35 GujaratiA+Kalash+Kumyk+Kumyk @ 2.830055
36 GujaratiA+Iranian+Tajik_Pomiri+Tajik_Pomiri @ 2.849682
37 GujaratiA+Iraqi_Jew+Tajik_Pomiri+Tajik_Pomiri @ 2.853681
38 Afghan_Pashtun+Balochi+Pathan+Romanian @ 2.876225
39 Balochi+Kurdish+Tajik_Pomiri+Tajik_Pomiri @ 2.87818
40 Burusho+Kalash+Lezgin+Turkish @ 2.884106
13078196 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 Afghan_Pashtun @ 6.29517
2 Tajik_Pomiri @ 7.551908
3 Tadjik @ 7.917544
4 Afghan_Uzbeki @ 9.37626
5 Afghan_Tadjik @ 10.115189
6 Pathan @ 11.328475
7 Turkmen @ 14.264779
8 Lezgin @ 15.337737
9 Kumyk @ 15.364505
10 Afghan_Turkmen @ 15.878373
11 Chechen @ 16.223875
12 Balochi @ 16.278553
13 Iranian @ 16.309444
14 Kurdish @ 17.120994
15 Uzbek @ 17.587175
16 Turkish @ 18.229288
17 Adygei @ 18.996854
18 North_Ossetian @ 19.440598
19 Balkar @ 19.583207
20 Nogai @ 20.080467
180 iterations.

Using 2 populations approximation:
1 Kalash+Kumyk @ 0.004264
2 Adygei+Kalash @ 0.038304
3 Kalash+North_Ossetian @ 0.109391
4 Balkar+Kalash @ 0.138605
5 Kalash+Turkish @ 0.707061
6 Chechen+Kalash @ 0.711441
7 Kalash+Lezgin @ 3.778229
8 Abkhasian+Kalash @ 4.24468
9 GujaratiA+Kumyk @ 4.478386
10 Kumyk+Pathan @ 4.627951
11 Adygei+GujaratiA @ 4.910707
12 Kalash+Kurdish @ 4.924953
13 Brahui+Kumyk @ 4.925679
14 Chechen+Pathan @ 5.032425
15 Lezgin+Pathan @ 5.090831
16 Burusho+Lezgin @ 5.146047
17 GujaratiA+North_Ossetian @ 5.169991
18 Balkar+GujaratiA @ 5.238031
19 Balochi+Kumyk @ 5.263772
20 Georgian+Kalash @ 5.296181
16290 iterations.

Using 3 populations approximation:
1 50% Kalash +25% Chechen +25% Turkish @ 0.000275
2 50% Kalash +25% Lezgin +25% Turkish @ 0.000502
3 50% Kalash +25% Adygei +25% Turkish @ 0.000915
4 50% Kalash +25% Kumyk +25% Turkish @ 0.001247
5 50% Kalash +25% North_Ossetian +25% Turkish @ 0.002
6 50% Kalash +25% Balkar +25% Turkish @ 0.002141
7 50% Kalash +25% Kumyk +25% Kumyk @ 0.004264
8 50% Kalash +25% Adygei +25% Kumyk @ 0.005803
9 50% Kalash +25% Chechen +25% Kumyk @ 0.008991
10 50% Tajik_Pomiri +25% Iranian_Jew +25% Kalash @ 0.010592
11 50% Kalash +25% Kumyk +25% North_Ossetian @ 0.012359
12 50% Kalash +25% Balkar +25% Kumyk @ 0.013488
13 50% Kalash +25% Greek +25% Kumyk @ 0.013555
14 50% Tajik_Pomiri +25% Iranian_Jewish +25% Kalash @ 0.01358
15 50% Kalash +25% Balkar +25% Greek @ 0.014398
16 50% Kalash +25% Greek +25% North_Ossetian @ 0.016991
17 50% Tajik_Pomiri +25% Assyrian +25% Kalash @ 0.02019
18 50% Tajik_Pomiri +25% Iraqi_Jew +25% Kalash @ 0.023903
19 50% Tajik_Pomiri +25% Armenian +25% Kalash @ 0.02662
20 50% Tajik_Pomiri +25% Iraqi_Jewish +25% Kalash @ 0.027254
2838865 iterations.

Using 4 populations approximation:
1 Chechen+Kalash+Kalash+Turkish @ 0.000275
2 Kalash+Kalash+Lezgin+Turkish @ 0.000502
3 Adygei+Kalash+Kalash+Turkish @ 0.000915
4 Kalash+Kalash+Kumyk+Turkish @ 0.001247
5 Kalash+Kalash+North_Ossetian+Turkish @ 0.002
6 Balkar+Kalash+Kalash+Turkish @ 0.002141
7 Kalash+Kalash+Kumyk+Kumyk @ 0.004264
8 Adygei+Kalash+Kalash+Kumyk @ 0.005803
9 Chechen+Kalash+Kalash+Kumyk @ 0.008991
10 Iranian_Jew+Kalash+Tajik_Pomiri+Tajik_Pomiri @ 0.010592
11 Kalash+Kalash+Kumyk+North_Ossetian @ 0.012359
12 Balkar+Kalash+Kalash+Kumyk @ 0.013488
13 Greek+Kalash+Kalash+Kumyk @ 0.013555
14 Iranian_Jewish+Kalash+Tajik_Pomiri+Tajik_Pomiri @ 0.01358
15 Balkar+Greek+Kalash+Kalash @ 0.014398
16 Greek+Kalash+Kalash+North_Ossetian @ 0.016991
17 Assyrian+Kalash+Tajik_Pomiri+Tajik_Pomiri @ 0.02019
18 Iraqi_Jew+Kalash+Tajik_Pomiri+Tajik_Pomiri @ 0.023903
19 Afghan_Pashtun+Armenian+Kalash+Tajik_Pomiri @ 0.025258
20 Armenian+Kalash+Tajik_Pomiri+Tajik_Pomiri @ 0.02662
21 Iraqi_Jewish+Kalash+Tajik_Pomiri+Tajik_Pomiri @ 0.027254
22 Abkhasian+Kalash+Kalash+Kumyk @ 0.027619
23 Abkhasian+Kalash+Kalash+Turkish @ 0.033734
24 Brahui+Kurdish+Tajik_Pomiri+Tajik_Pomiri @ 0.035381
25 Balochi+Kurdish+Tajik_Pomiri+Tajik_Pomiri @ 0.036155
26 Adygei+Adygei+Kalash+Kalash @ 0.038304
27 Georgian+Kalash+Kalash+Kumyk @ 0.038454
28 Balkar+Chechen+Kalash+Kalash @ 0.03916
29 Chechen+Kalash+Kalash+North_Ossetian @ 0.039551
30 Balkar+Kalash+Kalash+Kurdish @ 0.044463
31 Adygei+Kalash+Kalash+North_Ossetian @ 0.047525
32 Adygei+Balkar+Kalash+Kalash @ 0.049092
33 Ashkenazi_Jew+Balkar+Kalash+Kalash @ 0.050503
34 Kalash+Kalash+Kurdish+North_Ossetian @ 0.05465
35 Kalash+Kalash+Kumyk+Lezgin @ 0.058864
36 Adygei+Chechen+Kalash+Kalash @ 0.060384
37 Ashkenazi_Jew+Kalash+Kalash+North_Ossetian @ 0.060625
38 Kalash+Kalash+Kumyk+Kurdish @ 0.060843
39 Afghan_Pashtun+Assyrian+Kalash+Tajik_Pomiri @ 0.071418
40 Balkar+Kalash+Kalash+Kosovar @ 0.073494
41114886 iterations.



Rukha:

Least-squares method.

Using 1 population approximation:
1 Afghan_Pashtun @ 6.157266
2 Tajik_Pomiri @ 7.507455
3 Tadjik @ 10.027771
4 Afghan_Uzbeki @ 12.45222
5 Afghan_Tadjik @ 12.667135
6 Pathan @ 19.26162
7 Turkmen @ 24.75767
8 Burusho @ 26.308719
9 Balochi @ 27.004713
10 Afghan_Turkmen @ 27.601918
11 Iranian @ 28.522056
12 Lezgin @ 28.568629
13 GujaratiA @ 28.870122
14 Brahui @ 29.29077
15 Kumyk @ 30.570872
16 Uzbek @ 31.161204
17 Chechen @ 31.950918
18 Kurdish @ 32.162805
19 Nogai @ 34.039005
20 Adygei @ 34.733101
180 iterations.

Using 2 populations approximation:
1 Burusho+Lezgin @ 3.539084
2 Burusho+Chechen @ 4.27229
3 Afghan_Pashtun+Tajik_Pomiri @ 4.70739
4 Balkar+Kalash @ 5.191471
5 Chechen+GujaratiA @ 5.192741
6 Burusho+Kumyk @ 5.239121
7 Kalash+North_Ossetian @ 5.297979
8 GujaratiA+Kumyk @ 5.368637
9 Afghan_Pashtun+Tadjik @ 5.394913
10 GujaratiA+Lezgin @ 5.501354
11 Chechen+Kalash @ 5.920226
12 Adygei+Kalash @ 5.92964
13 Kalash+Kumyk @ 5.960582
14 GujaratiA+North_Ossetian @ 6.033167
15 Balkar+GujaratiA @ 6.055687
16 Adygei+GujaratiA @ 6.095708
17 Afghan_Pashtun+Afghan_Pashtun @ 6.157266
18 Adygei+Burusho @ 6.231853
19 Kalash+Nogai @ 6.675268
20 Burusho+North_Ossetian @ 6.689724
16290 iterations.

Using 3 populations approximation:
1 50% Pathan +25% Balkar +25% Tajik_Pomiri @ 2.679042
2 50% Pathan +25% North_Ossetian +25% Tajik_Pomiri @ 2.714958
3 50% Pathan +25% Chechen +25% Tadjik @ 2.750152
4 50% Tajik_Pomiri +25% Abkhasian +25% GujaratiA @ 2.782605
5 50% Tajik_Pomiri +25% Abkhasian +25% Burusho @ 2.794107
6 50% Pathan +25% Adygei +25% Tajik_Pomiri @ 2.933924
7 50% Tadjik +25% Kalash +25% Lezgin @ 2.953612
8 50% Pathan +25% Lezgin +25% Tadjik @ 3.01345
9 50% Tajik_Pomiri +25% Burusho +25% Georgian @ 3.039033
10 50% Tajik_Pomiri +25% Burusho +25% Kurdish @ 3.07576
11 50% Tajik_Pomiri +25% Brahui +25% Kumyk @ 3.077507
12 50% Tajik_Pomiri +25% GujaratiA +25% Kumyk @ 3.111134
13 50% Tajik_Pomiri +25% Georgian +25% GujaratiA @ 3.120025
14 50% Tajik_Pomiri +25% Adygei +25% GujaratiA @ 3.171868
15 50% Tajik_Pomiri +25% Abkhasian +25% Kalash @ 3.179854
16 50% Tajik_Pomiri +25% Balochi +25% Kumyk @ 3.182375
17 50% Tajik_Pomiri +25% Iranian +25% Pathan @ 3.196127
18 50% Tajik_Pomiri +25% Kalash +25% North_Ossetian @ 3.203335
19 50% Pathan +25% Kumyk +25% Tajik_Pomiri @ 3.208743
20 50% Tajik_Pomiri +25% Balkar +25% Kalash @ 3.216416
1991339 iterations.

Using 4 populations approximation:
1 Afghan_Pashtun+Burusho+Chechen+Tajik_Pomiri @ 2.660942
2 Balkar+Pathan+Pathan+Tajik_Pomiri @ 2.679042
3 North_Ossetian+Pathan+Pathan+Tajik_Pomiri @ 2.714958
4 Afghan_Uzbeki+Chechen+Kalash+Tajik_Pomiri @ 2.731136
5 Kalash+Kumyk+Tadjik+Tajik_Pomiri @ 2.741167
6 Adygei+Kalash+Tadjik+Tajik_Pomiri @ 2.74509
7 Chechen+Pathan+Pathan+Tadjik @ 2.750152
8 Afghan_Tadjik+Chechen+Kalash+Tajik_Pomiri @ 2.751654
9 Abkhasian+GujaratiA+Tajik_Pomiri+Tajik_Pomiri @ 2.782605
10 Afghan_Uzbeki+GujaratiA+Lezgin+Tajik_Pomiri @ 2.787629
11 Abkhasian+Burusho+Tajik_Pomiri+Tajik_Pomiri @ 2.794107
12 Adygei+Afghan_Pashtun+GujaratiA+Tajik_Pomiri @ 2.794172
13 Afghan_Pashtun+Burusho+Lezgin+Tajik_Pomiri @ 2.799759
14 Afghan_Pashtun+Chechen+Kalash+Tadjik @ 2.808674
15 Chechen+Kalash+Tadjik+Tajik_Pomiri @ 2.841726
16 Kalash+North_Ossetian+Tadjik+Tajik_Pomiri @ 2.887868
17 Afghan_Pashtun+GujaratiA+North_Ossetian+Tajik_Pomi ri @ 2.889439
18 Adygei+Afghan_Pashtun+Burusho+Tajik_Pomiri @ 2.902622
19 Afghan_Pashtun+Kumyk+Pathan+Tajik_Pomiri @ 2.90773
20 Afghan_Pashtun+Balkar+GujaratiA+Tajik_Pomiri @ 2.924812
21 Adygei+Afghan_Tadjik+Kalash+Tajik_Pomiri @ 2.931348
22 Adygei+Pathan+Pathan+Tajik_Pomiri @ 2.933924
23 Balkar+Kalash+Tadjik+Tajik_Pomiri @ 2.939491
24 Kalash+Lezgin+Tadjik+Tadjik @ 2.953612
25 Adygei+Afghan_Uzbeki+Kalash+Tajik_Pomiri @ 2.969708
26 Afghan_Pashtun+Chechen+GujaratiA+Tajik_Pomiri @ 3.010049
27 Lezgin+Pathan+Pathan+Tadjik @ 3.01345
28 Afghan_Pashtun+Burusho+Kumyk+Tajik_Pomiri @ 3.021025
29 Afghan_Pashtun+Lezgin+Pathan+Tajik_Pomiri @ 3.023145
30 Burusho+Georgian+Tajik_Pomiri+Tajik_Pomiri @ 3.039033
31 Afghan_Pashtun+GujaratiA+Kumyk+Tajik_Pomiri @ 3.044967
32 Afghan_Tadjik+Kalash+Lezgin+Tajik_Pomiri @ 3.059853
33 Kalash+Lezgin+Tadjik+Tajik_Pomiri @ 3.065196
34 Afghan_Pashtun+Balkar+Kalash+Tajik_Pomiri @ 3.071376
35 Burusho+Kurdish+Tajik_Pomiri+Tajik_Pomiri @ 3.07576
36 Brahui+Kumyk+Tajik_Pomiri+Tajik_Pomiri @ 3.077507
37 Afghan_Uzbeki+Kalash+Lezgin+Tajik_Pomiri @ 3.087513
38 Afghan_Pashtun+Kalash+North_Ossetian+Tajik_Pomiri @ 3.094357
39 Kalash+Lezgin+Nogai+Pathan @ 3.100468
40 Abkhasian+Kalash+Tadjik+Tajik_Pomiri @ 3.103461
12677855 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 Tajik_Pomiri @ 6.001982
2 Afghan_Pashtun @ 6.310594
3 Tadjik @ 7.474038
4 Afghan_Uzbeki @ 9.769758
5 Afghan_Tadjik @ 9.967873
6 Pathan @ 11.319007
7 Turkmen @ 14.307245
8 Afghan_Turkmen @ 15.454646
9 Kumyk @ 16.273704
10 Chechen @ 16.89473
11 Lezgin @ 17.022899
12 Uzbek @ 17.137493
13 Iranian @ 17.307653
14 Turkish @ 19.184115
15 Kurdish @ 19.33847
16 Balochi @ 19.581755
17 Nogai @ 19.650024
18 Balkar @ 19.677133
19 North_Ossetian @ 19.708962
20 Adygei @ 19.743862
180 iterations.

Using 2 populations approximation:
1 Burusho+Lezgin @ 3.96984
2 Balkar+Kalash @ 4.336027
3 Kalash+North_Ossetian @ 4.369863
4 Adygei+Kalash @ 4.551136
5 Kalash+Kumyk @ 4.553453
6 Burusho+Chechen @ 4.559976
7 Chechen+Kalash @ 4.764401
8 Afghan_Pashtun+Tajik_Pomiri @ 4.889389
9 Burusho+Kumyk @ 5.823606
10 Adygei+Burusho @ 5.856406
11 Kumyk+Pathan @ 5.873635
12 Tadjik+Tajik_Pomiri @ 5.941407
13 Pathan+Tadjik @ 5.96906
14 Tajik_Pomiri+Tajik_Pomiri @ 6.001982
15 Chechen+Pathan @ 6.042338
16 Kalash+Lezgin @ 6.076673
17 Afghan_Pashtun+Tadjik @ 6.099562
18 Pathan+Tajik_Pomiri @ 6.217605
19 Afghan_Pashtun+Afghan_Pashtun @ 6.310594
20 Burusho+North_Ossetian @ 6.327132
16290 iterations.

Using 3 populations approximation:
1 50% Tajik_Pomiri +25% Abkhasian +25% Kalash @ 2.378101
2 50% Tajik_Pomiri +25% Georgian +25% Kalash @ 2.415035
3 50% Lezgin +25% Burusho +25% Kalash @ 2.904404
4 50% Tajik_Pomiri +25% Armenian +25% Kalash @ 2.951097
5 50% Tajik_Pomiri +25% Kurdish +25% Pathan @ 3.00322
6 50% Tajik_Pomiri +25% Burusho +25% Georgian @ 3.012322
7 50% Tajik_Pomiri +25% Lezgin +25% Pathan @ 3.020642
8 50% Tajik_Pomiri +25% Adygei +25% Kalash @ 3.057918
9 50% Chechen +25% Burusho +25% Kalash @ 3.086029
10 50% Tajik_Pomiri +25% Georgian +25% Pathan @ 3.13974
11 50% Tajik_Pomiri +25% Abkhasian +25% Pathan @ 3.151742
12 50% Tajik_Pomiri +25% Abkhasian +25% Burusho @ 3.193212
13 50% Tajik_Pomiri +25% Kalash +25% North_Ossetian @ 3.196219
14 50% Tajik_Pomiri +25% Chechen +25% Kalash @ 3.221318
15 50% Pathan +25% Adygei +25% Tajik_Pomiri @ 3.251328
16 50% Tajik_Pomiri +25% Balkar +25% Kalash @ 3.261369
17 50% Pathan +25% Chechen +25% Tajik_Pomiri @ 3.268328
18 50% Tajik_Pomiri +25% Kalash +25% Kurdish @ 3.278226
19 50% Tajik_Pomiri +25% Chechen +25% Pathan @ 3.283972
20 50% Tajik_Pomiri +25% Kalash +25% Lezgin @ 3.316722
2886846 iterations.

Using 4 populations approximation:
1 Abkhasian+Kalash+Tajik_Pomiri+Tajik_Pomiri @ 2.378101
2 Georgian+Kalash+Tajik_Pomiri+Tajik_Pomiri @ 2.415035
3 Burusho+Kalash+Lezgin+Lezgin @ 2.904404
4 Burusho+Chechen+Kalash+Lezgin @ 2.924087
5 Armenian+Kalash+Tajik_Pomiri+Tajik_Pomiri @ 2.951097
6 Kurdish+Pathan+Tajik_Pomiri+Tajik_Pomiri @ 3.00322
7 Burusho+Georgian+Tajik_Pomiri+Tajik_Pomiri @ 3.012322
8 Lezgin+Pathan+Tajik_Pomiri+Tajik_Pomiri @ 3.020642
9 Adygei+Kalash+Tajik_Pomiri+Tajik_Pomiri @ 3.057918
10 Burusho+Chechen+Chechen+Kalash @ 3.086029
11 Georgian+Pathan+Tajik_Pomiri+Tajik_Pomiri @ 3.13974
12 Abkhasian+Pathan+Tajik_Pomiri+Tajik_Pomiri @ 3.151742
13 Abkhasian+Burusho+Tajik_Pomiri+Tajik_Pomiri @ 3.193212
14 Kalash+North_Ossetian+Tajik_Pomiri+Tajik_Pomiri @ 3.196219
15 Chechen+Kalash+Tajik_Pomiri+Tajik_Pomiri @ 3.221318
16 Adygei+Pathan+Pathan+Tajik_Pomiri @ 3.251328
17 Balkar+Kalash+Tajik_Pomiri+Tajik_Pomiri @ 3.261369
18 Chechen+Pathan+Pathan+Tajik_Pomiri @ 3.268328
19 Kalash+Kurdish+Tajik_Pomiri+Tajik_Pomiri @ 3.278226
20 Kalash+Lezgin+Tadjik+Tajik_Pomiri @ 3.282585
21 Chechen+Pathan+Tajik_Pomiri+Tajik_Pomiri @ 3.283972
22 Afghan_Pashtun+Chechen+Kalash+Tajik_Pomiri @ 3.314758
23 Kalash+Lezgin+Tajik_Pomiri+Tajik_Pomiri @ 3.316722
24 Kalash+Kumyk+Tajik_Pomiri+Tajik_Pomiri @ 3.33985
25 Burusho+Georgian+Pathan+Tajik_Pomiri @ 3.360773
26 Adygei+Afghan_Pashtun+Kalash+Tajik_Pomiri @ 3.362927
27 Afghan_Pashtun+Georgian+Kalash+Tajik_Pomiri @ 3.366957
28 Abkhasian+Afghan_Pashtun+Kalash+Tajik_Pomiri @ 3.371289
29 Georgian+Kalash+Tadjik+Tajik_Pomiri @ 3.372102
30 Abkhasian+Kalash+Tadjik+Tajik_Pomiri @ 3.372605
31 Burusho+Kurdish+Tajik_Pomiri+Tajik_Pomiri @ 3.416683
32 Adygei+Pathan+Tajik_Pomiri+Tajik_Pomiri @ 3.422281
33 North_Ossetian+Pathan+Pathan+Tajik_Pomiri @ 3.428864
34 Afghan_Pashtun+Kalash+Lezgin+Tajik_Pomiri @ 3.44599
35 Balkar+Pathan+Pathan+Tajik_Pomiri @ 3.460188
36 Adygei+Burusho+Kalash+Lezgin @ 3.462515
37 Chechen+Kalash+Tadjik+Tajik_Pomiri @ 3.463045
38 Assyrian+Kalash+Tajik_Pomiri+Tajik_Pomiri @ 3.468215
39 Lezgin+Pathan+Pathan+Tajik_Pomiri @ 3.470769
40 Georgian+GujaratiA+Tajik_Pomiri+Tajik_Pomiri @ 3.476113
41898561 iterations.



Turk (Hanna):

Least-squares method.

Using 1 population approximation:
1 Turkish @ 4.976567
2 Armenian @ 8.562959
3 Kurdish @ 10.523413
4 Georgian @ 10.647219
5 Assyrian @ 11.031374
6 Abkhasian @ 11.962149
7 Iranian_Jewish @ 12.384617
8 Syrian @ 13.111237
9 Lebanese_Muslim @ 13.287631
10 Lebanese @ 14.032548
11 Iranian_Jew @ 14.200892
12 Iranian @ 14.314284
13 Kumyk @ 14.929763
14 Iraqi_Jewish @ 15.162776
15 Iraqi_Jew @ 15.206432
16 Adygei @ 16.091273
17 North_Ossetian @ 16.374872
18 Jordanian @ 16.419443
19 Balkar @ 16.579643
20 Cypriot @ 17.695086
180 iterations.

Using 2 populations approximation:
1 Iraqi_Jew+Kumyk @ 2.828234
2 Iraqi_Jewish+Kumyk @ 2.909605
3 Druze+Kumyk @ 3.46526
4 Kumyk+Lebanese_Muslim @ 3.491967
5 Kurdish+Turkish @ 3.508727
6 Armenian+Turkish @ 3.602913
7 Kumyk+Lebanese @ 3.747959
8 Kumyk+Syrian @ 3.928268
9 Assyrian+Kumyk @ 3.993956
10 Iranian_Jew+Kumyk @ 4.058219
11 Balkar+Iraqi_Jewish @ 4.148941
12 Iraqi_Jewish+North_Ossetian @ 4.149358
13 Balkar+Iranian_Jew @ 4.332978
14 Iranian_Jewish+Turkish @ 4.363436
15 Iranian_Jew+North_Ossetian @ 4.364716
16 Kumyk+Lebanese_Christian @ 4.433944
17 Iraqi_Jew+North_Ossetian @ 4.448391
18 Balkar+Iraqi_Jew @ 4.460444
19 Assyrian+Turkish @ 4.468725
20 Adygei+Iraqi_Jewish @ 4.527657
16290 iterations.

Using 3 populations approximation:
1 50% Turkish +25% Armenian +25% Kurdish @ 1.59603
2 50% Turkish +25% Iranian_Jew +25% Kumyk @ 1.763234
3 50% Turkish +25% Iraqi_Jewish +25% Kumyk @ 1.837615
4 50% Lebanese_Christian +25% Adygei +25% Tadjik @ 1.93782
5 50% Turkish +25% Armenian +25% Iranian @ 2.030909
6 50% Cypriot +25% Afghan_Tadjik +25% Georgian @ 2.042452
7 50% Turkish +25% Iraqi_Jew +25% Kumyk @ 2.055781
8 50% Cyprian +25% Afghan_Uzbeki +25% Georgian @ 2.061187
9 50% Lebanese_Christian +25% Abkhasian +25% Tadjik @ 2.067661
10 50% Lebanese_Christian +25% North_Ossetian +25% Tadjik @ 2.072191
11 50% Lebanese_Christian +25% Balkar +25% Tadjik @ 2.094687
12 50% Turkish +25% Iranian_Jewish +25% Turkish @ 2.096347
13 50% Turkish +25% Assyrian +25% Kurdish @ 2.156495
14 50% Cyprian +25% Afghan_Tadjik +25% Georgian @ 2.162036
15 50% Turkish +25% Kurdish +25% Turkish @ 2.162852
16 50% Cypriot +25% Afghan_Uzbeki +25% Georgian @ 2.184637
17 50% Armenian +25% Cyprian +25% Tadjik @ 2.208459
18 50% Turkish +25% Abkhasian +25% Iranian_Jewish @ 2.209506
19 50% Kumyk +25% Druze +25% Iranian_Jew @ 2.219772
20 50% Armenian +25% Cyprian +25% Turkmen @ 2.250497
1136201 iterations.

Using 4 populations approximation:
1 Cyprian+Iranian_Jewish+Kurdish+Nogai @ 1.564624
2 Armenian+Kurdish+Turkish+Turkish @ 1.59603
3 Kumyk+Kurdish+Lebanese_Christian+Turkish @ 1.614592
4 Cyprian+Georgian+Lebanese_Christian+Tadjik @ 1.626676
5 Abkhasian+Cypriot+Lebanese_Christian+Tadjik @ 1.644507
6 Cypriot+Georgian+Lebanese_Christian+Tadjik @ 1.655082
7 Assyrian+Cypriot+Kurdish+Nogai @ 1.668774
8 Abkhasian+Cyprian+Lebanese_Christian+Tadjik @ 1.696314
9 Armenian+Kurdish+Lebanese_Christian+Nogai @ 1.711293
10 Druze+Kumyk+Kurdish+Turkish @ 1.732613
11 Armenian+Druze+Kurdish+Nogai @ 1.738042
12 Assyrian+Cypriot+Georgian+Turkmen @ 1.750435
13 Cyprian+Iranian_Jew+Kurdish+Nogai @ 1.762703
14 Iranian_Jew+Kumyk+Turkish+Turkish @ 1.763234
15 Cypriot+Iranian_Jewish+Kurdish+Nogai @ 1.77326
16 Assyrian+Cyprian+Kurdish+Nogai @ 1.79642
17 Adygei+Lebanese_Christian+Samaritan+Tadjik @ 1.833303
18 Iraqi_Jewish+Kumyk+Turkish+Turkish @ 1.837615
19 Afghan_Tadjik+Cyprian+Georgian+Lebanese_Christian @ 1.838707
20 Adygei+Cypriot+Samaritan+Tadjik @ 1.855093
21 Armenian+Cypriot+Kurdish+Nogai @ 1.860672
22 Assyrian+Cyprian+Georgian+Turkmen @ 1.86484
23 Iranian+Kumyk+Lebanese_Christian+Turkish @ 1.869272
24 Cyprian+Georgian+Iranian_Jew+Turkmen @ 1.87744
25 Balkar+Lebanese_Christian+Samaritan+Tadjik @ 1.923357
26 Chechen+Lebanese_Christian+Samaritan+Tadjik @ 1.923837
27 Lebanese_Christian+North_Ossetian+Samaritan+Tadjik @ 1.929909
28 Adygei+Lebanese_Christian+Lebanese_Christian+Tadji k @ 1.93782
29 Adygei+Cyprian+Samaritan+Tadjik @ 1.941537
30 Abkhasian+Afghan_Tadjik+Cyprian+Lebanese_Christian @ 1.96246
31 Cypriot+Iranian_Jew+Kurdish+Nogai @ 1.987054
32 Cyprian+Druze+Georgian+Tadjik @ 2.004924
33 Abkhasian+Afghan_Uzbeki+Cyprian+Lebanese_Christian @ 2.009054
34 Afghan_Uzbeki+Cyprian+Georgian+Lebanese_Christian @ 2.015238
35 Cypriot+Kumyk+Kurdish+Turkish @ 2.015882
36 Assyrian+Cyprian+Iranian+Nogai @ 2.023927
37 Cyprian+Georgian+Iranian_Jewish+Turkmen @ 2.024736
38 Armenian+Iranian+Turkish+Turkish @ 2.030909
39 Afghan_Tadjik+Cyprian+Cypriot+Georgian @ 2.039932
40 Balkar+Iranian+Lebanese_Christian+Turkish @ 2.04068
2013478 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 Turkish @ 5.234554
2 Adygei @ 6.253221
3 Kurdish @ 6.554971
4 Kumyk @ 6.832751
5 North_Ossetian @ 6.993569
6 Balkar @ 7.124071
7 Chechen @ 7.919894
8 Iranian @ 8.092845
9 Lebanese_Muslim @ 8.348757
10 Lebanese @ 8.949998
11 Syrian @ 9.582639
12 Lezgin @ 9.594204
13 Assyrian @ 9.691948
14 Cypriot @ 9.76349
15 Jordanian @ 9.975019
16 Cyprian @ 10.021583
17 Iranian_Jewish @ 10.614409
18 Armenian @ 10.755998
19 Palestinian @ 11.041658
20 Lebanese_Christian @ 11.322291
180 iterations.

Using 2 populations approximation:
1 Armenian+Turkish @ 3.507423
2 Assyrian+Kumyk @ 3.778314
3 Georgian+Turkish @ 3.824356
4 Assyrian+Turkish @ 3.855453
5 Iranian_Jew+Kumyk @ 3.921006
6 Armenian+Kumyk @ 3.977115
7 Iranian_Jewish+Turkish @ 4.037815
8 Iraqi_Jew+Kumyk @ 4.041891
9 Iranian_Jewish+Kumyk @ 4.087308
10 Kurdish+Turkish @ 4.143264
11 Adygei+Assyrian @ 4.202369
12 Iraqi_Jewish+Kumyk @ 4.217682
13 Iranian_Jew+Turkish @ 4.27359
14 Adygei+Iranian_Jew @ 4.298264
15 Abkhasian+Turkish @ 4.344601
16 Adygei+Iranian_Jewish @ 4.435665
17 Assyrian+North_Ossetian @ 4.453689
18 Assyrian+Balkar @ 4.498045
19 Iranian_Jew+North_Ossetian @ 4.551984
20 Adygei+Armenian @ 4.582514
16290 iterations.

Using 3 populations approximation:
1 50% Armenian +25% Turkish +25% Turkish @ 3.507423
2 50% Turkish +25% Georgian +25% Iranian_Jewish @ 3.513799
3 50% Armenian +25% Kumyk +25% Turkish @ 3.519902
4 50% Assyrian +25% Adygei +25% Turkish @ 3.529105
5 50% Turkish +25% Assyrian +25% Georgian @ 3.534309
6 50% Turkish +25% Georgian +25% Iranian_Jew @ 3.537595
7 50% Turkish +25% Armenian +25% Georgian @ 3.540633
8 50% Assyrian +25% Kumyk +25% Turkish @ 3.565222
9 50% Armenian +25% Adygei +25% Turkish @ 3.602929
10 50% Turkish +25% Armenian +25% Assyrian @ 3.643149
11 50% Turkish +25% Armenian +25% Kurdish @ 3.643698
12 50% Assyrian +25% North_Ossetian +25% Turkish @ 3.644975
13 50% Turkish +25% Armenian +25% Iranian_Jewish @ 3.657374
14 50% Assyrian +25% Balkar +25% Turkish @ 3.66434
15 50% Iranian_Jewish +25% Adygei +25% Turkish @ 3.699048
16 50% Turkish +25% Abkhasian +25% Iranian_Jew @ 3.717034
17 50% Turkish +25% Abkhasian +25% Iranian_Jewish @ 3.722813
18 50% Armenian +25% North_Ossetian +25% Turkish @ 3.724379
19 50% Turkish +25% Georgian +25% Kurdish @ 3.724582
20 50% Iranian_Jew +25% Adygei +25% Turkish @ 3.730541
2456465 iterations.

Using 4 populations approximation:
1 Armenian+Assyrian+Kumyk+Turkish @ 3.506706
2 Armenian+Armenian+Turkish+Turkish @ 3.507423
3 Georgian+Iranian_Jewish+Turkish+Turkish @ 3.513799
4 Armenian+Armenian+Kumyk+Turkish @ 3.519902
5 Adygei+Assyrian+Assyrian+Turkish @ 3.529105
6 Adygei+Armenian+Assyrian+Turkish @ 3.532619
7 Assyrian+Georgian+Turkish+Turkish @ 3.534309
8 Georgian+Iranian_Jew+Turkish+Turkish @ 3.537595
9 Armenian+Georgian+Turkish+Turkish @ 3.540633
10 Adygei+Armenian+Iranian_Jew+Turkish @ 3.545055
11 Armenian+Iranian_Jew+Kumyk+Turkish @ 3.547971
12 Adygei+Armenian+Iranian_Jewish+Turkish @ 3.555563
13 Armenian+Iranian_Jewish+Kumyk+Turkish @ 3.565141
14 Assyrian+Assyrian+Kumyk+Turkish @ 3.565222
15 Adygei+Assyrian+Iranian_Jewish+Turkish @ 3.57902
16 Adygei+Assyrian+Iranian_Jew+Turkish @ 3.593453
17 Adygei+Armenian+Armenian+Turkish @ 3.602929
18 Armenian+Assyrian+Turkish+Turkish @ 3.643149
19 Armenian+Kurdish+Turkish+Turkish @ 3.643698
20 Adygei+Assyrian+Kurdish+Turkish @ 3.644159
21 Assyrian+Assyrian+North_Ossetian+Turkish @ 3.644975
22 Armenian+Assyrian+North_Ossetian+Turkish @ 3.652013
23 Assyrian+Iranian_Jewish+Kumyk+Turkish @ 3.65352
24 Armenian+Iranian_Jew+North_Ossetian+Turkish @ 3.657215
25 Armenian+Iranian_Jewish+Turkish+Turkish @ 3.657374
26 Assyrian+Iranian_Jew+Kumyk+Turkish @ 3.66342
27 Assyrian+Assyrian+Balkar+Turkish @ 3.66434
28 Armenian+Assyrian+Balkar+Turkish @ 3.67451
29 Armenian+Balkar+Iranian_Jew+Turkish @ 3.678009
30 Adygei+Armenian+Kurdish+Turkish @ 3.682589
31 Armenian+Iranian_Jewish+North_Ossetian+Turkish @ 3.684279
32 Adygei+Iranian_Jew+Iranian_Jewish+Turkish @ 3.698678
33 Adygei+Iranian_Jewish+Iranian_Jewish+Turkish @ 3.699048
34 Assyrian+Iranian_Jew+North_Ossetian+Turkish @ 3.699805
35 Georgian+Iranian_Jew+Kumyk+Turkish @ 3.700136
36 Assyrian+Iranian_Jewish+North_Ossetian+Turkish @ 3.702716
37 Armenian+Balkar+Iranian_Jewish+Turkish @ 3.706046
38 Abkhasian+Iranian_Jew+Turkish+Turkish @ 3.717034
39 Assyrian+Balkar+Iranian_Jew+Turkish @ 3.717144
40 Adygei+Iranian_Jew+Kurdish+Turkish @ 3.718197
26313714 iterations.

Dr_McNinja
04-29-2015, 06:58 PM
Population averages:

https://docs.google.com/spreadsheets/d/1Dx0L5KATUl2M8bm6fhOQVr4yuVTxT8bzqfNbLJfFqIs/edit#gid=1386128066

J Man
04-29-2015, 07:40 PM
Can someone run mine for me please if I send you my 23andme raw data?

Generalissimo
04-29-2015, 07:58 PM
Population averages:

https://docs.google.com/spreadsheets/d/1Dx0L5KATUl2M8bm6fhOQVr4yuVTxT8bzqfNbLJfFqIs/edit#gid=1386128066

These averages won't produce accurate oracle results because of the calculator effect.

The only way to produce an accurate oracle sheet is with user data.

Dr_McNinja
04-29-2015, 08:16 PM
Fur curiosity's sake, I put in a "non-Hindu Kush Ancestry" breakdown. Mostly relevant for South Asians for whom HK is almost 40-50% or more of their admixture.

You can then run this through an Oracle to see what combination makes up the non-local ancestry (since most of us, including the South Indian Brahmins, share most of our affinity to this northwestern Indian subcontinent area).

Because "ASI" is still in there, this should come out as a quarter Southeast Asian or something like that.

HRP0393 Haryana Jatt

Least-squares method.

Using 1 population approximation:
1 Moksha @ 19.179971
2 Erzya @ 19.373785
3 Chuvash @ 19.672536
4 Russian_Kargopol @ 20.070959
5 Russian @ 21.004487
6 Ukrainian_Belgorod @ 21.694321
7 Ukrainian_Lviv @ 21.726382
8 Ukrainian_Kharkov @ 21.771488
9 Ukrainian_Poltava @ 22.102077
10 Finnish @ 22.225661
11 Belarusian @ 22.430025
12 Czech @ 23.046146
13 Polish @ 23.225512
14 Alberstedt_LN @ 23.228131
15 Hungarian @ 23.351765
16 Utah_Scandinavian @ 23.745054
17 Norwegian @ 24.062691
18 Utah_German @ 24.108875
19 Bosnian @ 24.306244
20 Orcadian @ 24.333802
180 iterations.

Using 2 populations approximation:
1 Chuvash+Hungarian @ 16.603432
2 Chuvash+Ukrainian_Kharkov @ 16.664512
3 Bosnian+Chuvash @ 16.722353
4 Chuvash+Ukrainian_Lviv @ 16.732737
5 Chuvash+Czech @ 16.745909
6 Chuvash+Serbian_Bosnia @ 16.822454
7 Estonian+Nogai @ 16.82924
8 Chuvash+Utah_German @ 16.831031
9 Finnish+Nogai @ 16.857624
10 Chuvash+Ukrainian_Poltava @ 16.882768
11 Chuvash+Utah_USA @ 16.961258
12 Chuvash+Croatian @ 16.980926
13 Chuvash+Utah_British @ 16.999855
14 Chuvash+Orcadian @ 17.120284
15 Chuvash+English @ 17.129029
16 Chuvash+Ukrainian_Belgorod @ 17.134228
17 Chuvash+Utah_Scandinavian @ 17.140662
18 Chuvash+Moksha @ 17.185635
19 Chuvash+Scottish @ 17.204414
20 Chuvash+Russian @ 17.215402
16290 iterations.

Using 3 populations approximation:
1 50% Karelia_HG +25% Spain_EN +25% Thai @ 7.930252
2 50% Karelia_HG +25% HungaryGamba_EN +25% Thai @ 8.044818
3 50% Karelia_HG +25% Stuttgart +25% Thai @ 8.062274
4 50% Karelia_HG +25% LBK_EN +25% Thai @ 8.126864
5 50% Karelia_HG +25% Sardinian +25% Thai @ 8.191977
6 50% Karelia_HG +25% Esperstedt_MN +25% Thai @ 8.299018
7 50% Karelia_HG +25% Cambodian +25% Spain_EN @ 8.568812
8 50% Karelia_HG +25% Cambodian +25% HungaryGamba_EN @ 8.652838
9 50% Karelia_HG +25% Cambodian +25% Stuttgart @ 8.659979
10 50% Croatian +25% Karelia_HG +25% Thai @ 8.672855
11 50% Ukrainian_Lviv +25% Saami_WGA +25% Thai @ 8.691358
12 50% Karelia_HG +25% Cambodian +25% LBK_EN @ 8.717706
13 50% Ukrainian_Poltava +25% Saami_WGA +25% Thai @ 8.763967
14 50% Russian_Kargopol +25% Croatian +25% Thai @ 8.785489
15 50% Karelia_HG +25% Cambodian +25% Sardinian @ 8.824662
16 50% Hungarian +25% Karelia_HG +25% Thai @ 8.880564
17 50% Russian_Kargopol +25% Hungarian +25% Thai @ 8.891729
18 50% Czech +25% Saami_WGA +25% Thai @ 8.892494
19 50% Russian_Kargopol +25% Serbian_Bosnia +25% Thai @ 8.903146
20 50% Russian_Kargopol +25% Thai +25% Ukrainian_Lviv @ 8.906353
2234267 iterations.

Using 4 populations approximation:
1 Esperstedt_MN+Saami_WGA+Samara_HG+Thai @ 7.4546
2 Saami_WGA+Samara_HG+Sardinian+Thai @ 7.491902
3 Saami_WGA+Samara_HG+Spain_EN+Thai @ 7.579505
4 Saami_WGA+Samara_HG+Spain_MN+Thai @ 7.691394
5 Karelia_HG+Karelia_HG+Spain_EN+Thai @ 7.930252
6 Cambodian+Esperstedt_MN+Saami_WGA+Samara_HG @ 7.965694
7 Cambodian+Saami_WGA+Samara_HG+Sardinian @ 8.00472
8 Finnish+Karelia_HG+Thai+Tuscan @ 8.02995
9 HungaryGamba_EN+Karelia_HG+Karelia_HG+Thai @ 8.044818
10 Karelia_HG+Saami_WGA+Spain_EN+Thai @ 8.047338
11 Karelia_HG+Karelia_HG+Stuttgart+Thai @ 8.062274
12 Karelia_HG+Saami_WGA+Sardinian+Thai @ 8.066184
13 Cambodian+Saami_WGA+Samara_HG+Spain_EN @ 8.072503
14 Bergamo+Finnish+Karelia_HG+Thai @ 8.076138
15 Bergamo+Karelia_HG+Russian_Kargopol+Thai @ 8.090964
16 Albanian+Finnish+Karelia_HG+Thai @ 8.103604
17 Esperstedt_MN+Karelia_HG+Saami_WGA+Thai @ 8.10825
18 Bergamo+Karelia_HG+Saami_WGA+Thai @ 8.121048
19 Karelia_HG+Karelia_HG+LBK_EN+Thai @ 8.126864
20 Karelia_HG+Saami_WGA+Thai+Tuscan @ 8.167964
21 Chuvash+Samara_HG+Spain_MN+Thai @ 8.17089
22 Karelia_HG+Karelia_HG+Sardinian+Thai @ 8.191977
23 Finnish+Karelia_HG+Kosovar+Thai @ 8.19598
24 Cambodian+Saami_WGA+Samara_HG+Spain_MN @ 8.222239
25 Karelia_HG+Russian_Kargopol+Thai+Tuscan @ 8.231795
26 Karelia_HG+Russian_Kargopol+Spanish+Thai @ 8.242915
27 Esperstedt_MN+Karelia_HG+Karelia_HG+Thai @ 8.299018
28 Bergamo+Erzya+Karelia_HG+Thai @ 8.323956
29 Erzya+Karelia_HG+Spanish+Thai @ 8.328042
30 HungaryGamba_EN+Saami_WGA+Samara_HG+Thai @ 8.368818
31 Finnish+Greek+Karelia_HG+Thai @ 8.391135
32 Russian_Kargopol+Samara_HG+Spain_MN+Thai @ 8.405954
33 Albanian+Karelia_HG+Russian_Kargopol+Thai @ 8.407494
34 Karelia_HG+Kosovar+Russian_Kargopol+Thai @ 8.437028
35 Cambodian+Chuvash+Samara_HG+Spain_MN @ 8.467315
36 HungaryGamba_EN+Karelia_HG+Saami_WGA+Thai @ 8.47913
37 Erzya+Samara_HG+Spain_MN+Thai @ 8.481997
38 Karelia_HG+Saami_WGA+Spanish+Thai @ 8.486563
39 Cambodian+Karelia_HG+Saami_WGA+Spain_EN @ 8.499843
40 Karelia_HG+Samara_HG+Spain_EN+Thai @ 8.501995
21259619 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 Tadjik @ 27.955074
2 Erzya @ 28.306205
3 Afghan_Tadjik @ 28.496067
4 Afghan_Pashtun @ 28.607837
5 Uzbek @ 28.731377
6 Uygur @ 29.205943
7 Afghan_Uzbeki @ 29.452412
8 Turkmen @ 30.023691
9 Russian @ 31.092857
10 Russian_Kargopol @ 31.161338
11 Nogai @ 31.589066
12 Moksha @ 31.635796
13 Saami_WGA @ 32.372672
14 Tajik_Pomiri @ 33.817469
15 Pathan @ 34.229293
16 Belarusian @ 34.371422
17 Afghan_Turkmen @ 34.473047
18 Chuvash @ 34.90413
19 Kyrgyz @ 35.668688
20 Estonian @ 36.567901
180 iterations.

Using 2 populations approximation:
1 Moksha+Ust_Ishim @ 15.580132
2 Russian_Kargopol+Ust_Ishim @ 15.790654
3 Erzya+Ust_Ishim @ 15.813937
4 Ukrainian_Poltava+Ust_Ishim @ 15.817433
5 Russian+Ust_Ishim @ 15.854048
6 Estonian+Ust_Ishim @ 15.984445
7 Polish+Ust_Ishim @ 16.009551
8 Belarusian+Ust_Ishim @ 16.042205
9 Ukrainian_Lviv+Ust_Ishim @ 16.102311
10 Ukrainian_Kharkov+Ust_Ishim @ 16.193634
11 Finnish+Ust_Ishim @ 16.199166
12 Ukrainian_Belgorod+Ust_Ishim @ 16.302022
13 Lithuanian+Ust_Ishim @ 16.492831
14 BenzigerodeHeimburg_LN+Ust_Ishim @ 16.555255
15 Czech+Ust_Ishim @ 16.595214
16 Hungarian+Ust_Ishim @ 16.742358
17 Ust_Ishim+Utah_Scandinavian @ 16.826092
18 Halberstadt_LBA+Ust_Ishim @ 16.908475
19 Ust_Ishim+Utah_German @ 16.973586
20 Icelandic+Ust_Ishim @ 17.003056
16290 iterations.

Using 3 populations approximation:
1 50% Moksha +25% Karelia_HG +25% Malay @ 11.71522
2 50% Russian_Kargopol +25% Karelia_HG +25% Malay @ 11.777195
3 50% Russian +25% Karelia_HG +25% Malay @ 11.952024
4 50% Erzya +25% Karelia_HG +25% Malay @ 12.103281
5 50% Russian_Kargopol +25% Malay +25% Samara_HG @ 12.273875
6 50% Moksha +25% Malay +25% Samara_HG @ 12.370544
7 50% Finnish +25% Karelia_HG +25% Malay @ 12.3737
8 50% Russian_Kargopol +25% MA1 +25% Malay @ 12.471098
9 50% Moksha +25% MA1 +25% Malay @ 12.513671
10 50% Ukrainian_Lviv +25% Karelia_HG +25% Malay @ 12.581066
11 50% Russian +25% MA1 +25% Malay @ 12.584605
12 50% Ukrainian_Belgorod +25% Karelia_HG +25% Malay @ 12.629416
13 50% Erzya +25% Malay +25% Samara_HG @ 12.643233
14 50% Russian_Kargopol +25% Cambodian +25% MA1 @ 12.71482
15 50% Finnish +25% MA1 +25% Malay @ 12.722353
16 50% Erzya +25% MA1 +25% Malay @ 12.724233
17 50% Finnish +25% Malay +25% Samara_HG @ 12.76835
18 50% Moksha +25% Cambodian +25% Karelia_HG @ 12.768608
19 50% Russian_Kargopol +25% Cambodian +25% Karelia_HG @ 12.777429
20 50% Russian_Kargopol +25% MA1 +25% Thai @ 12.78134
2915910 iterations.

Using 4 populations approximation:
1 Karelia_HG+Malay+Saami_WGA+Spain_EN @ 9.781037
2 Malay+Saami_WGA+Samara_HG+Spain_EN @ 9.854031
3 Karelia_HG+Malay+Saami_WGA+Sardinian @ 10.114785
4 HungaryGamba_EN+Karelia_HG+Malay+Saami_WGA @ 10.14495
5 Esperstedt_MN+Karelia_HG+Malay+Saami_WGA @ 10.154385
6 Malay+Saami_WGA+Samara_HG+Sardinian @ 10.155025
7 Karelia_HG+Malay+Saami_WGA+Stuttgart @ 10.163636
8 Esperstedt_MN+Malay+Saami_WGA+Samara_HG @ 10.190031
9 Karelia_HG+LBK_EN+Malay+Saami_WGA @ 10.193504
10 Malay+Saami_WGA+Samara_HG+Spain_MN @ 10.226382
11 HungaryGamba_EN+Malay+Saami_WGA+Samara_HG @ 10.248016
12 Karelia_HG+Malay+Saami_WGA+Spain_MN @ 10.254922
13 Malay+Saami_WGA+Samara_HG+Stuttgart @ 10.300002
14 LBK_EN+Malay+Saami_WGA+Samara_HG @ 10.347724
15 Chuvash+Karelia_HG+Malay+Spain_EN @ 10.380615
16 Bergamo+Karelia_HG+Malay+Saami_WGA @ 10.414919
17 Albanian+Karelia_HG+Malay+Saami_WGA @ 10.428565
18 Chuvash+Malay+Samara_HG+Spain_EN @ 10.449587
19 Karelia_HG+Malay+Saami_WGA+Tuscan @ 10.506192
20 Karelia_HG+Kosovar+Malay+Saami_WGA @ 10.541671
21 Karelia_HG+Malay+Russian_Kargopol+Spain_EN @ 10.552972
22 Chuvash+Malay+Samara_HG+Spain_MN @ 10.571536
23 Karelia_HG+Malay+Saami_WGA+Spanish_North @ 10.577561
24 Chuvash+Karelia_HG+Malay+Spain_MN @ 10.612838
25 Finnish+Karelia_HG+Malay+Spain_EN @ 10.627358
26 French_South+Karelia_HG+Malay+Saami_WGA @ 10.634774
27 Greek+Karelia_HG+Malay+Saami_WGA @ 10.649103
28 Chuvash+Karelia_HG+Malay+Spanish_North @ 10.65752
29 Chuvash+Karelia_HG+Malay+Sardinian @ 10.658466
30 Karelia_HG+Malay+Montenegrin+Saami_WGA @ 10.664145
31 Karelia_HG+Malay+Saami_WGA+Serbian @ 10.667007
32 Malay+Saami_WGA+Samara_HG+Spanish_North @ 10.668762
33 Chuvash+Esperstedt_MN+Karelia_HG+Malay @ 10.678334
34 Bulgarian+Karelia_HG+Malay+Saami_WGA @ 10.684995
35 Chuvash+Malay+Samara_HG+Sardinian @ 10.694354
36 Croatian+Karelia_HG+Malay+Saami_WGA @ 10.701925
37 Chuvash+Croatian+Karelia_HG+Malay @ 10.703406
38 Croatian+Karelia_HG+Malay+Russian_Kargopol @ 10.705201
39 Chuvash+Esperstedt_MN+Malay+Samara_HG @ 10.707099
40 Karelia_HG+Macedonian+Malay+Saami_WGA @ 10.711613
45212895 iterations.



Soulblighter (South Indian Brahmin)

Least-squares method.

Using 1 population approximation:
1 Ust_Ishim @ 34.318195
2 Chuvash @ 41.130121
3 Nogai @ 42.558891
4 Uzbek @ 42.659314
5 Uygur @ 43.422945
6 Kostenki14 @ 43.577372
7 Thai @ 44.119562
8 Erzya @ 44.138174
9 Afghan_Turkmen @ 44.232927
10 Moksha @ 44.238682
11 Turkmen @ 44.768234
12 Russian_Kargopol @ 44.844634
13 Saami_WGA @ 45.505775
14 Bosnian @ 45.515366
15 Russian @ 45.570508
16 Ukrainian_Kharkov @ 45.591691
17 Hungarian @ 45.669281
18 Ukrainian_Lviv @ 45.685545
19 Ukrainian_Belgorod @ 45.982207
20 Cambodian @ 46.058731
180 iterations.

Using 2 populations approximation:
1 Malay+Ukrainian_Lviv @ 13.231175
2 Malay+Ukrainian_Poltava @ 13.448642
3 Czech+Malay @ 13.449368
4 Malay+Utah_Scandinavian @ 13.57412
5 Malay+Utah_German @ 13.582525
6 Hungarian+Malay @ 13.630905
7 Malay+Utah_British @ 13.680664
8 Malay+Russian_Kargopol @ 13.703613
9 Malay+Ukrainian_Belgorod @ 13.716
10 Malay+Russian @ 13.719423
11 Malay+Utah_USA @ 13.739279
12 Malay+Moksha @ 13.818422
13 Malay+Polish @ 13.854369
14 English+Malay @ 13.879035
15 Malay+Norwegian @ 13.906425
16 Belarusian+Malay @ 13.944346
17 Finnish+Malay @ 13.968478
18 Malay+Ukrainian_Kharkov @ 13.991052
19 Malay+Orcadian @ 14.01213
20 Malay+Scottish @ 14.014448
16290 iterations.

Using 3 populations approximation:
1 50% Utah_German +25% Ami +25% Bougainville @ 10.959476
2 50% Hungarian +25% Ami +25% Bougainville @ 10.974635
3 50% Ukrainian_Poltava +25% Ami +25% Bougainville @ 11.012904
4 50% Czech +25% Ami +25% Bougainville @ 11.03731
5 50% Ukrainian_Lviv +25% Ami +25% Bougainville @ 11.107521
6 50% Utah_British +25% Ami +25% Bougainville @ 11.131005
7 50% Utah_USA +25% Ami +25% Bougainville @ 11.136498
8 50% Moksha +25% Ami +25% Bougainville @ 11.15417
9 50% Scottish +25% Ami +25% Bougainville @ 11.187306
10 50% Norwegian +25% Ami +25% Bougainville @ 11.214439
11 50% Utah_Scandinavian +25% Ami +25% Bougainville @ 11.252743
12 50% Orcadian +25% Ami +25% Bougainville @ 11.252898
13 50% Ukrainian_Kharkov +25% Ami +25% Bougainville @ 11.288202
14 50% Icelandic +25% Ami +25% Bougainville @ 11.364357
15 50% English +25% Ami +25% Bougainville @ 11.403652
16 50% Russian +25% Ami +25% Bougainville @ 11.457843
17 50% Erzya +25% Ami +25% Bougainville @ 11.459354
18 50% Ukrainian_Belgorod +25% Ami +25% Bougainville @ 11.463818
19 50% Russian_Kargopol +25% Ami +25% Bougainville @ 11.468325
20 50% Alberstedt_LN +25% Ami +25% Bougainville @ 11.588921
2560151 iterations.

Using 4 populations approximation:
1 Ami+Bougainville+Chuvash+HungaryGamba_BA @ 9.203001
2 Ami+Bougainville+Chuvash+French @ 9.273485
3 Ami+Bougainville+Saami_WGA+Spanish @ 9.459234
4 Ami+Bougainville+Chuvash+Utah_USA @ 9.463159
5 Ami+Bougainville+Chuvash+Utah_German @ 9.502844
6 Ami+Bougainville+Chuvash+Utah_British @ 9.511786
7 Ami+Bougainville+Chuvash+English @ 9.527315
8 Ami+Bougainville+Chuvash+Spanish @ 9.567743
9 Ami+Bougainville+Chuvash+French_South @ 9.58383
10 Ami+Bougainville+Chuvash+Hungarian @ 9.646735
11 Ami+Bougainville+Chuvash+Spanish_North @ 9.672558
12 Ami+Bougainville+French+Saami_WGA @ 9.677292
13 Ami+Bergamo+Bougainville+Saami_WGA @ 9.680371
14 Ami+Bougainville+Chuvash+Scottish @ 9.708367
15 Ami+Bougainville+Chuvash+Orcadian @ 9.729129
16 Ami+Bougainville+Chuvash+Serbian_Bosnia @ 9.775655
17 Ami+Bougainville+Chuvash+Croatian @ 9.779279
18 Ami+Bougainville+Chuvash+Czech @ 9.834108
19 Ami+Bougainville+Montenegrin+Saami_WGA @ 9.868156
20 Ami+Bougainville+Macedonian+Saami_WGA @ 9.868251
21 Ami+Bougainville+Chuvash+Icelandic @ 9.883332
22 Ami+Bougainville+Chuvash+Norwegian @ 9.89012
23 Ami+Bosnian+Bougainville+Chuvash @ 9.893514
24 Ami+Bougainville+French_South+Saami_WGA @ 9.905397
25 Ami+Bougainville+Romanian+Saami_WGA @ 9.911022
26 Ami+Bougainville+Saami_WGA+Serbian @ 9.912064
27 Ami+Bougainville+Chuvash+Utah_Scandinavian @ 9.918016
28 Ami+Bougainville+Chuvash+Serbian @ 9.920935
29 Ami+Bougainville+Bulgarian+Saami_WGA @ 9.96335
30 Atayal+Bougainville+Chuvash+HungaryGamba_BA @ 9.973684
31 Ami+Bougainville+Chuvash+Montenegrin @ 9.978727
32 Ami+Bougainville+HungaryGamba_BA+Saami_WGA @ 9.998359
33 Ami+Bougainville+Saami_WGA+Tuscan @ 10.022301
34 Atayal+Bougainville+Chuvash+French @ 10.029647
35 Ami+Bougainville+Saami_WGA+Serbian_Bosnia @ 10.041396
36 Ami+Bougainville+Kosovar+Saami_WGA @ 10.04555
37 Ami+Bougainville+Croatian+Saami_WGA @ 10.0665
38 Ami+Bougainville+Saami_WGA+Spanish_North @ 10.066864
39 Ami+Bougainville+Erzya+French @ 10.08226
40 Ami+Bosnian+Bougainville+Saami_WGA @ 10.11395
27850172 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 Uygur @ 42.861891
2 Afghan_Tadjik @ 44.298697
3 Pathan @ 45.767289
4 Afghan_Pashtun @ 46.406287
5 Afghan_Uzbeki @ 48.932911
6 Burusho @ 49.233351
7 GujaratiA @ 51.633318
8 Uzbek @ 53.354216
9 Ust_Ishim @ 56.04038
10 Mongolian @ 57.946779
11 Turkmen @ 57.956
12 Balochi @ 59.086786
13 Tadjik @ 59.41973
14 Kyrgyz @ 61.454107
15 Tu @ 62.043246
16 Brahui @ 62.277856
17 Kostenki14 @ 66.053805
18 Iranian @ 70.487962
19 Thai @ 71.476106
20 Tuvinian @ 71.653465
180 iterations.

Using 2 populations approximation:
1 Malay+Russian_Kargopol @ 18.034799
2 Malay+Moksha @ 18.065496
3 Malay+Russian @ 18.384337
4 Erzya+Malay @ 18.39635
5 Finnish+Malay @ 18.468561
6 Malay+Ukrainian_Lviv @ 18.531378
7 Estonian+Malay @ 19.0852
8 Malay+Ukrainian_Belgorod @ 19.296995
9 Malay+Ukrainian_Poltava @ 19.423248
10 Chuvash+Malay @ 19.427376
11 Belarusian+Malay @ 19.756379
12 Malay+Utah_Scandinavian @ 19.972009
13 Malay+Norwegian @ 19.975588
14 Malay+Romanian @ 20.161627
15 Hungarian+Malay @ 20.189193
16 Malay+Polish @ 20.255458
17 Croatian+Malay @ 20.52108
18 Malay+Serbian @ 20.533161
19 Malay+Saami_WGA @ 20.538524
20 Bulgarian+Malay @ 20.7182
16290 iterations.

Using 3 populations approximation:
1 50% Ust_Ishim +25% Ami +25% Ukrainian_Poltava @ 13.399631
2 50% Ust_Ishim +25% Ami +25% Ukrainian_Lviv @ 13.431
3 50% Ust_Ishim +25% Ami +25% Polish @ 13.459157
4 50% Ust_Ishim +25% Ami +25% Ukrainian_Kharkov @ 13.471202
5 50% Ust_Ishim +25% Ami +25% Ukrainian_Belgorod @ 13.507164
6 50% Ust_Ishim +25% Ami +25% Belarusian @ 13.54905
7 50% Ust_Ishim +25% Ami +25% Czech @ 13.562097
8 50% Ust_Ishim +25% Ami +25% Croatian @ 13.584342
9 50% Ust_Ishim +25% Ami +25% Russian @ 13.600185
10 50% Ust_Ishim +25% Ami +25% Serbian_Bosnia @ 13.665886
11 50% Ust_Ishim +25% Ami +25% Hungarian @ 13.680467
12 50% Ust_Ishim +25% Ami +25% Moksha @ 13.806497
13 50% Ust_Ishim +25% Ami +25% Bosnian @ 13.807429
14 50% Ust_Ishim +25% Ami +25% Utah_Scandinavian @ 13.822532
15 50% Moksha +25% Malay +25% Ust_Ishim @ 13.851212
16 50% Ust_Ishim +25% Malay +25% Ukrainian_Poltava @ 13.870175
17 50% Ust_Ishim +25% Ami +25% Utah_German @ 13.878236
18 50% Ust_Ishim +25% Malay +25% Ukrainian_Kharkov @ 13.894114
19 50% Ust_Ishim +25% Ami +25% Lithuanian @ 13.911151
20 50% Ust_Ishim +25% Malay +25% Ukrainian_Lviv @ 13.925124
2915910 iterations.

Using 4 populations approximation:
1 Ami+Bougainville+Moroccan+Saami_WGA @ 10.548568
2 Algerian+Ami+Bougainville+Saami_WGA @ 10.83987
3 Ami+Bougainville+Chuvash+Spanish @ 11.240875
4 Ami+Australian+Moroccan+Saami_WGA @ 11.298476
5 Ami+Bougainville+Saami_WGA+Spanish @ 11.339348
6 Bougainville+Dai+Moroccan+Saami_WGA @ 11.391684
7 Ami+Bougainville+Finnish+Moroccan @ 11.44773
8 Ami+Bougainville+Saami_WGA+Tunisian @ 11.482004
9 Ami+Bougainville+Moroccan+Russian_Kargopol @ 11.491098
10 Ami+Bougainville+Maltese+Saami_WGA @ 11.534528
11 Ami+Bougainville+Moroccan_Jew+Saami_WGA @ 11.553399
12 Algerian+Ami+Bougainville+Finnish @ 11.582232
13 Algerian+Ami+Australian+Saami_WGA @ 11.583503
14 Ami+Bougainville+Chuvash+Moroccan @ 11.601374
15 Algerian+Bougainville+Dai+Saami_WGA @ 11.617368
16 Bougainville+Dai+Finnish+Moroccan @ 11.629647
17 Algerian+Ami+Bougainville+Russian_Kargopol @ 11.641578
18 Ami+Australian+Finnish+Moroccan @ 11.662566
19 Algerian+Bougainville+Dai+Finnish @ 11.69652
20 Ami+Bougainville+Moroccan_Jewish+Saami_WGA @ 11.720442
21 Ami+Bougainville+Erzya+Moroccan @ 11.760852
22 Ami+Australian+Moroccan+Russian_Kargopol @ 11.774537
23 Ami+Australian+Saami_WGA+Spanish @ 11.776446
24 Algerian+Ami+Australian+Finnish @ 11.801737
25 Ami+Australian+Maltese+Saami_WGA @ 11.828653
26 Bougainville+Dai+Moroccan+Russian_Kargopol @ 11.86314
27 Ami+Australian+Moroccan_Jew+Saami_WGA @ 11.87205
28 Ami+Bougainville+Chuvash+Maltese @ 11.873987
29 Ami+Australian+Chuvash+Spanish @ 11.87663
30 Algerian+Ami+Bougainville+Erzya @ 11.912338
31 Algerian+Ami+Australian+Russian_Kargopol @ 11.927287
32 Ami+Australian+Saami_WGA+Tunisian @ 11.940363
33 Algerian+Bougainville+Dai+Russian_Kargopol @ 11.949891
34 Ami+Australian+Erzya+Moroccan @ 11.955977
35 Algerian+Ami+Bougainville+Chuvash @ 11.970029
36 Ami+Bougainville+Libyan_Jew+Saami_WGA @ 11.993604
37 Ami+Bougainville+Moksha+Moroccan @ 11.995353
38 Ami+Australian+Moroccan_Jewish+Saami_WGA @ 12.012489
39 Bougainville+Dai+Saami_WGA+Spanish @ 12.026947
40 Algerian+Ami+Australian+Karelia_HG @ 12.040613
45212895 iterations.



HRP0341 Punjabi Jatt Sikh

Least-squares method.

Using 1 population approximation:
1 Chuvash @ 20.128916
2 Moksha @ 22.539268
3 Erzya @ 22.75235
4 Russian_Kargopol @ 23.869433
5 Russian @ 24.781547
6 Ukrainian_Lviv @ 24.844849
7 Ukrainian_Belgorod @ 25.043725
8 Ukrainian_Kharkov @ 25.329626
9 Ukrainian_Poltava @ 25.360722
10 Bosnian @ 25.387582
11 Hungarian @ 25.663554
12 Serbian_Bosnia @ 26.063169
13 Nogai @ 26.178411
14 Czech @ 26.236124
15 Belarusian @ 26.39396
16 Croatian @ 26.466115
17 Finnish @ 26.920262
18 Polish @ 27.13486
19 Serbian @ 27.276007
20 Saami_WGA @ 27.361929
180 iterations.

Using 2 populations approximation:
1 Nogai+Russian_Kargopol @ 15.940245
2 Erzya+Nogai @ 16.00518
3 Finnish+Nogai @ 16.10156
4 Moksha+Nogai @ 16.38192
5 Estonian+Nogai @ 16.575367
6 Nogai+Russian @ 16.576138
7 Ukrainian_Kharkov+Uygur @ 16.695194
8 Ukrainian_Kharkov+Uzbek @ 16.710354
9 Nogai+Ukrainian_Kharkov @ 16.900291
10 Belarusian+Nogai @ 16.902079
11 Ukrainian_Poltava+Uygur @ 16.976632
12 Nogai+Saami_WGA @ 16.989798
13 Polish+Uygur @ 17.093424
14 Lithuanian+Nogai @ 17.096054
15 Ukrainian_Lviv+Uygur @ 17.097001
16 Belarusian+Uzbek @ 17.119778
17 Polish+Uzbek @ 17.121308
18 Ukrainian_Poltava+Uzbek @ 17.155001
19 Russian+Uzbek @ 17.16146
20 Nogai+Polish @ 17.167325
16290 iterations.

Using 3 populations approximation:
1 50% Croatian +25% Saami_WGA +25% Thai @ 10.610694
2 50% Serbian_Bosnia +25% Saami_WGA +25% Thai @ 10.733173
3 50% Croatian +25% Chuvash +25% Thai @ 10.78633
4 50% Romanian +25% Karelia_HG +25% Thai @ 10.790376
5 50% Bosnian +25% Saami_WGA +25% Thai @ 10.830126
6 50% Romanian +25% Samara_HG +25% Thai @ 10.873848
7 50% Serbian +25% Saami_WGA +25% Thai @ 10.875111
8 50% Bulgarian +25% Karelia_HG +25% Thai @ 10.895759
9 50% Ukrainian_Lviv +25% Chuvash +25% Thai @ 10.896432
10 50% Erzya +25% Bulgarian +25% Thai @ 10.913353
11 50% Erzya +25% Romanian +25% Thai @ 10.922314
12 50% Romanian +25% Karelia_HG +25% Kinh @ 10.943787
13 50% Serbian_Bosnia +25% Chuvash +25% Thai @ 10.946549
14 50% Montenegrin +25% Karelia_HG +25% Thai @ 10.955472
15 50% Bulgarian +25% Karelia_HG +25% Kinh @ 11.002868
16 50% Serbian +25% Karelia_HG +25% Thai @ 11.002929
17 50% Russian_Kargopol +25% Bulgarian +25% Thai @ 11.006088
18 50% Erzya +25% Montenegrin +25% Thai @ 11.010238
19 50% Erzya +25% Albanian +25% Thai @ 11.014057
20 50% Romanian +25% Karelia_HG +25% Lahu @ 11.016606
2420563 iterations.

Using 4 populations approximation:
1 LBK_EN+Saami_WGA+Samara_HG+Thai @ 8.619832
2 HungaryGamba_EN+Saami_WGA+Samara_HG+Thai @ 8.658272
3 Saami_WGA+Samara_HG+Stuttgart+Thai @ 8.706905
4 Karsdorf_LN+Saami_WGA+Spain_EN+Thai @ 8.92743
5 Chuvash+HungaryGamba_EN+Samara_HG+Thai @ 9.022613
6 Moroccan+Saami_WGA+Samara_HG+Thai @ 9.057569
7 Karsdorf_LN+Saami_WGA+Sardinian+Thai @ 9.076033
8 HungaryGamba_EN+Karsdorf_LN+Saami_WGA+Thai @ 9.14004
9 Libyan_Jew+Saami_WGA+Samara_HG+Thai @ 9.178561
10 Chuvash+LBK_EN+Samara_HG+Thai @ 9.179475
11 Esperstedt_MN+Karsdorf_LN+Saami_WGA+Thai @ 9.181271
12 Chuvash+Samara_HG+Stuttgart+Thai @ 9.188459
13 Chuvash+Samara_HG+Spain_EN+Thai @ 9.235052
14 Karsdorf_LN+Saami_WGA+Stuttgart+Thai @ 9.254239
15 Moroccan_Jewish+Saami_WGA+Samara_HG+Thai @ 9.296798
16 Kinh+Libyan_Jew+Saami_WGA+Samara_HG @ 9.323537
17 Moroccan_Jew+Saami_WGA+Samara_HG+Thai @ 9.337098
18 Chuvash+Karsdorf_LN+Sardinian+Thai @ 9.348467
19 Karsdorf_LN+LBK_EN+Saami_WGA+Thai @ 9.350843
20 Chuvash+Esperstedt_MN+Karsdorf_LN+Thai @ 9.353435
21 Saami_WGA+Samara_HG+Spain_EN+Thai @ 9.386801
22 Kinh+LBK_EN+Saami_WGA+Samara_HG @ 9.400789
23 Corded_Ware_LN+HungaryGamba_EN+Saami_WGA+Thai @ 9.421228
24 Chuvash+Karsdorf_LN+Spain_EN+Thai @ 9.423716
25 HungaryGamba_EN+Kinh+Saami_WGA+Samara_HG @ 9.438379
26 Lahu+Libyan_Jew+Saami_WGA+Samara_HG @ 9.468442
27 Kinh+Saami_WGA+Samara_HG+Stuttgart @ 9.47736
28 Kinh+Moroccan_Jewish+Saami_WGA+Samara_HG @ 9.48656
29 Chuvash+Samara_HG+Sardinian+Thai @ 9.499331
30 Saami_WGA+Samara_HG+Thai+Tunisian @ 9.501183
31 Saami_WGA+Samara_HG+South_Italian+Thai @ 9.502342
32 Kinh+Moroccan_Jew+Saami_WGA+Samara_HG @ 9.510795
33 Algerian+Saami_WGA+Samara_HG+Thai @ 9.514574
34 Cambodian+LBK_EN+Saami_WGA+Samara_HG @ 9.51797
35 Saami_WGA+Samara_HG+Thai+Turkish_Jew @ 9.545934
36 Saami_WGA+Samara_HG+Sephardic_Jewish+Thai @ 9.557229
37 Chuvash+Karsdorf_LN+Spain_MN+Thai @ 9.559231
38 Cambodian+HungaryGamba_EN+Saami_WGA+Samara_HG @ 9.56326
39 Karelia_HG+Libyan_Jew+Saami_WGA+Thai @ 9.563632
40 Chuvash+Moroccan+Samara_HG+Thai @ 9.565131
25129704 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 Afghan_Tadjik @ 27.910604
2 Uzbek @ 29.137662
3 Tadjik @ 29.279507
4 Afghan_Pashtun @ 29.448542
5 Turkmen @ 29.470902
6 Uygur @ 29.527343
7 Afghan_Uzbeki @ 29.651279
8 Nogai @ 31.838331
9 Erzya @ 33.430392
10 Moksha @ 34.655145
11 Afghan_Turkmen @ 34.879104
12 Russian @ 35.175152
13 Russian_Kargopol @ 35.269999
14 Saami_WGA @ 35.814396
15 Tajik_Pomiri @ 36.271731
16 Kyrgyz @ 37.667814
17 Pathan @ 37.704306
18 Chuvash @ 37.764451
19 Kumyk @ 39.221543
20 Turkish @ 39.375201
180 iterations.

Using 2 populations approximation:
1 Moksha+Ust_Ishim @ 16.537586
2 Erzya+Ust_Ishim @ 16.902989
3 Russian_Kargopol+Ust_Ishim @ 16.991788
4 Russian+Ust_Ishim @ 17.144139
5 Ukrainian_Poltava+Ust_Ishim @ 17.331473
6 Ukrainian_Lviv+Ust_Ishim @ 17.514532
7 Ukrainian_Belgorod+Ust_Ishim @ 17.589384
8 Belarusian+Ust_Ishim @ 17.64781
9 Polish+Ust_Ishim @ 17.684852
10 Ukrainian_Kharkov+Ust_Ishim @ 17.760024
11 Finnish+Ust_Ishim @ 17.814673
12 Estonian+Ust_Ishim @ 17.982349
13 Hungarian+Ust_Ishim @ 18.080068
14 Chuvash+Ust_Ishim @ 18.12603
15 Croatian+Ust_Ishim @ 18.148133
16 Czech+Ust_Ishim @ 18.172461
17 Serbian_Bosnia+Ust_Ishim @ 18.269427
18 Bosnian+Ust_Ishim @ 18.47821
19 Lithuanian+Ust_Ishim @ 18.518889
20 Serbian+Ust_Ishim @ 18.637193
16290 iterations.

Using 3 populations approximation:
1 50% Ukrainian_Kharkov +25% Tubalar +25% Ust_Ishim @ 13.893755
2 50% Ukrainian_Poltava +25% Bougainville +25% Tubalar @ 13.971125
3 50% Ukrainian_Poltava +25% Tubalar +25% Ust_Ishim @ 14.004281
4 50% Croatian +25% Tubalar +25% Ust_Ishim @ 14.058146
5 50% Serbian_Bosnia +25% Tubalar +25% Ust_Ishim @ 14.059164
6 50% Ukrainian_Lviv +25% Bougainville +25% Tubalar @ 14.103275
7 50% Ukrainian_Lviv +25% Tubalar +25% Ust_Ishim @ 14.154928
8 50% Ukrainian_Poltava +25% Ust_Ishim +25% Uygur @ 14.16063
9 50% Erzya +25% Nogai +25% Ust_Ishim @ 14.199084
10 50% Croatian +25% Malay +25% Mansi @ 14.204546
11 50% Ukrainian_Poltava +25% Kyrgyz +25% Ust_Ishim @ 14.218647
12 50% Nogai +25% Karelia_HG +25% Ust_Ishim @ 14.219079
13 50% Croatian +25% Bougainville +25% Tubalar @ 14.219682
14 50% Moksha +25% Nogai +25% Ust_Ishim @ 14.241872
15 50% Ukrainian_Kharkov +25% Bougainville +25% Tubalar @ 14.249033
16 50% Ukrainian_Lviv +25% Malay +25% Mansi @ 14.255528
17 50% Bosnian +25% Tubalar +25% Ust_Ishim @ 14.27087
18 50% Utah_German +25% Bougainville +25% Tubalar @ 14.28315
19 50% Russian_Kargopol +25% Nogai +25% Ust_Ishim @ 14.290978
20 50% Serbian_Bosnia +25% Bougainville +25% Tubalar @ 14.294824
2915910 iterations.

Using 4 populations approximation:
1 Malay+Saami_WGA+Samara_HG+Spain_EN @ 12.281844
2 LBK_EN+Malay+Saami_WGA+Samara_HG @ 12.409525
3 Malay+Saami_WGA+Samara_HG+Stuttgart @ 12.413735
4 Bougainville+Samara_HG+Sardinian+Tubalar @ 12.419631
5 Chuvash+Malay+Samara_HG+Spain_EN @ 12.467805
6 HungaryGamba_EN+Malay+Saami_WGA+Samara_HG @ 12.482132
7 Bougainville+HungaryGamba_EN+Samara_HG+Tubalar @ 12.528572
8 Bougainville+Samara_HG+Stuttgart+Tubalar @ 12.577746
9 Bougainville+LBK_EN+Samara_HG+Tubalar @ 12.581537
10 Bougainville+Kyrgyz+Samara_HG+Sardinian @ 12.585228
11 Bougainville+Samara_HG+Spain_EN+Tubalar @ 12.61265
12 Malay+Saami_WGA+Samara_HG+Sardinian @ 12.62102
13 Karelia_HG+Malay+Saami_WGA+Spain_EN @ 12.627636
14 Bougainville+Esperstedt_MN+Samara_HG+Tubalar @ 12.634411
15 Karelia_HG+LBK_EN+Malay+Saami_WGA @ 12.692932
16 Bougainville+Even+Samara_HG+Sardinian @ 12.694726
17 Karelia_HG+Malay+Saami_WGA+Stuttgart @ 12.711693
18 Chuvash+Malay+Samara_HG+Stuttgart @ 12.736977
19 Chuvash+LBK_EN+Malay+Samara_HG @ 12.74782
20 Bougainville+Kyrgyz+Samara_HG+Spanish @ 12.756656
21 Bougainville+Esperstedt_MN+Kyrgyz+Samara_HG @ 12.772457
22 Chuvash+Malay+Samara_HG+Sardinian @ 12.77663
23 Chuvash+HungaryGamba_EN+Malay+Samara_HG @ 12.786339
24 HungaryGamba_EN+Karelia_HG+Malay+Saami_WGA @ 12.791445
25 Chuvash+Karelia_HG+Malay+Spain_EN @ 12.813756
26 Bougainville+Mongolian+Samara_HG+Sardinian @ 12.82022
27 Bougainville+Kyrgyz+Samara_HG+Spain_EN @ 12.83438
28 Bougainville+HungaryGamba_EN+Kyrgyz+Samara_HG @ 12.846045
29 Bougainville+Kyrgyz+Samara_HG+Tuscan @ 12.857402
30 Albanian+Chuvash+Karelia_HG+Malay @ 12.859105
31 Bougainville+Even+HungaryGamba_EN+Samara_HG @ 12.867407
32 Bougainville+Esperstedt_MN+Even+Samara_HG @ 12.907104
33 Bougainville+Even+Samara_HG+Spain_EN @ 12.931643
34 Esperstedt_MN+Malay+Saami_WGA+Samara_HG @ 12.937823
35 Albanian+Karelia_HG+Malay+Saami_WGA @ 12.94577
36 Albanian+Chuvash+Malay+Samara_HG @ 12.946894
37 Altaian+Bougainville+Samara_HG+Sardinian @ 12.949193
38 Bougainville+Kyrgyz+Samara_HG+Spain_MN @ 12.958359
39 Bougainville+Kyrgyz+Samara_HG+Stuttgart @ 12.9626
40 Albanian+Bougainville+Kyrgyz+Samara_HG @ 12.963074
45212895 iterations.



HRP0370 Afghan Pashtun

Least-squares method.

Using 1 population approximation:
1 Romanian @ 11.651357
2 Bulgarian @ 12.00079
3 Montenegrin @ 12.718539
4 Macedonian @ 12.721746
5 Serbian @ 12.782792
6 Bosnian @ 14.175559
7 Serbian_Bosnia @ 14.462029
8 Croatian @ 14.598883
9 Kosovar @ 15.583068
10 Albanian @ 16.293068
11 Hungarian @ 17.317688
12 Greek @ 19.246601
13 Tuscan @ 20.355591
14 Bergamo @ 20.496213
15 French @ 20.657262
16 Czech @ 20.796185
17 Ukrainian_Lviv @ 21.284775
18 Ukrainian_Poltava @ 21.861981
19 Utah_German @ 22.131894
20 Utah_USA @ 22.431672
180 iterations.

Using 2 populations approximation:
1 Ashkenazi_Jew+Erzya @ 10.016143
2 Chuvash+Greek @ 10.069888
3 Ashkenazi_Jew+Moksha @ 10.252555
4 Erzya+South_Italian @ 10.344018
5 Ashkenazi_Jew+Russian_Kargopol @ 10.395464
6 Erzya+Maltese @ 10.426521
7 East_Sicilian+Erzya @ 10.448228
8 Erzya+Turkish_Jew @ 10.485758
9 Chuvash+Sicilian @ 10.51294
10 Ashkenazi_Jew+Chuvash @ 10.515448
11 Albanian+Chuvash @ 10.554201
12 Chuvash+West_Sicilian @ 10.584153
13 Chuvash+South_Italian @ 10.589071
14 Erzya+Sicilian @ 10.596761
15 Erzya+Moroccan_Jew @ 10.657001
16 Russian_Kargopol+Turkish_Jew @ 10.684121
17 Russian_Kargopol+South_Italian @ 10.708016
18 Maltese+Moksha @ 10.71759
19 Chuvash+East_Sicilian @ 10.721362
20 Moksha+South_Italian @ 10.726312
16290 iterations.

Using 3 populations approximation:
1 50% HungaryGamba_EN +25% Karsdorf_LN +25% Tubalar @ 6.141036
2 50% Stuttgart +25% Karsdorf_LN +25% Tubalar @ 6.488269
3 50% LBK_EN +25% Karsdorf_LN +25% Tubalar @ 6.686851
4 50% Spain_EN +25% Karsdorf_LN +25% Tubalar @ 6.817758
5 50% Spain_EN +25% Karsdorf_LN +25% Uygur @ 7.373251
6 50% Spain_EN +25% Karsdorf_LN +25% Kyrgyz @ 7.5644
7 50% Sardinian +25% Karsdorf_LN +25% Uygur @ 7.669816
8 50% Spain_EN +25% Karsdorf_LN +25% Uzbek @ 7.738052
9 50% Sardinian +25% Karsdorf_LN +25% Uzbek @ 7.778024
10 50% Sardinian +25% Karsdorf_LN +25% Tubalar @ 7.784547
11 50% HungaryGamba_EN +25% Karsdorf_LN +25% Kyrgyz @ 7.86431
12 50% HungaryGamba_EN +25% Karsdorf_LN +25% Uygur @ 7.917001
13 50% Sardinian +25% Karsdorf_LN +25% Nogai @ 7.98622
14 50% HungaryGamba_EN +25% Corded_Ware_LN +25% Tubalar @ 8.000437
15 50% Sardinian +25% Karsdorf_LN +25% Kyrgyz @ 8.018054
16 50% Esperstedt_MN +25% Karsdorf_LN +25% Uygur @ 8.065638
17 50% LBK_EN +25% Samara_HG +25% Tubalar @ 8.081291
18 50% Esperstedt_MN +25% Uygur +25% Yamnaya @ 8.185931
19 50% Sardinian +25% Uygur +25% Yamnaya @ 8.189753
20 50% Spain_EN +25% Uygur +25% Yamnaya @ 8.200452
1971552 iterations.

Using 4 populations approximation:
1 HungaryGamba_EN+HungaryGamba_EN+Karsdorf_LN+Tubala r @ 6.141036
2 Karsdorf_LN+LBK_EN+Spain_EN+Tubalar @ 6.147797
3 HungaryGamba_EN+Karsdorf_LN+Spain_EN+Tubalar @ 6.150458
4 Karsdorf_LN+Spain_EN+Stuttgart+Tubalar @ 6.173889
5 Karsdorf_LN+LBK_EN+Sardinian+Tubalar @ 6.246208
6 HungaryGamba_EN+Karsdorf_LN+Stuttgart+Tubalar @ 6.29
7 Karsdorf_LN+Sardinian+Stuttgart+Tubalar @ 6.314673
8 Esperstedt_MN+Karsdorf_LN+LBK_EN+Tubalar @ 6.360142
9 HungaryGamba_EN+Karsdorf_LN+Sardinian+Tubalar @ 6.361601
10 HungaryGamba_EN+Karsdorf_LN+LBK_EN+Tubalar @ 6.368576
11 Esperstedt_MN+Karsdorf_LN+Stuttgart+Tubalar @ 6.447081
12 Karsdorf_LN+Stuttgart+Stuttgart+Tubalar @ 6.488269
13 Esperstedt_MN+HungaryGamba_EN+Karsdorf_LN+Tubalar @ 6.507917
14 Karsdorf_LN+LBK_EN+Stuttgart+Tubalar @ 6.58024
15 Karsdorf_LN+LBK_EN+LBK_EN+Tubalar @ 6.686851
16 Karsdorf_LN+Spain_EN+Spain_EN+Tubalar @ 6.817758
17 HungaryGamba_EN+Karsdorf_LN+Sardinian+Uygur @ 7.215726
18 Chuvash+HungaryGamba_EN+Karsdorf_LN+Moroccan @ 7.246918
19 Karsdorf_LN+Sardinian+Spain_EN+Tubalar @ 7.258971
20 Esperstedt_MN+HungaryGamba_EN+Karsdorf_LN+Uygur @ 7.267775
21 Chuvash+Karsdorf_LN+Moroccan+Stuttgart @ 7.307236
22 Chuvash+LBK_EN+Libyan_Jew+Samara_HG @ 7.359355
23 HungaryGamba_EN+Karsdorf_LN+Spain_EN+Uygur @ 7.365658
24 Karsdorf_LN+Spain_EN+Spain_EN+Uygur @ 7.373251
25 Chuvash+Karsdorf_LN+LBK_EN+Moroccan @ 7.374313
26 HungaryGamba_EN+Karsdorf_LN+Kyrgyz+Sardinian @ 7.374449
27 Albanian+HungaryGamba_EN+Nogai+Samara_HG @ 7.378099
28 Chuvash+Karsdorf_LN+Moroccan+Spain_EN @ 7.379321
29 Albanian+LBK_EN+Nogai+Samara_HG @ 7.379635
30 Albanian+Nogai+Samara_HG+Stuttgart @ 7.381206
31 Esperstedt_MN+HungaryGamba_EN+Karsdorf_LN+Kyrgyz @ 7.412959
32 Chuvash+LBK_EN+Moroccan_Jew+Samara_HG @ 7.418545
33 Karsdorf_LN+Sardinian+Stuttgart+Uygur @ 7.430497
34 HungaryGamba_EN+Karsdorf_LN+Kyrgyz+Spain_EN @ 7.434031
35 Chuvash+HungaryGamba_EN+Libyan_Jew+Samara_HG @ 7.437628
36 Karsdorf_LN+LBK_EN+Sardinian+Uygur @ 7.443086
37 Chuvash+Libyan_Jew+Samara_HG+Stuttgart @ 7.443142
38 Esperstedt_MN+Karsdorf_LN+LBK_EN+Uygur @ 7.463689
39 Karsdorf_LN+Sardinian+Spain_EN+Uygur @ 7.466433
40 Esperstedt_MN+Karsdorf_LN+Stuttgart+Uygur @ 7.468123
13870613 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 Moksha @ 15.645628
2 Romanian @ 15.69418
3 Erzya @ 16.987048
4 Russian @ 17.002234
5 Bulgarian @ 17.103757
6 Russian_Kargopol @ 17.478711
7 Nogai @ 17.812253
8 Hungarian @ 17.870588
9 Serbian @ 18.663475
10 Croatian @ 19.124484
11 Chuvash @ 19.503057
12 Turkish @ 19.824708
13 Ashkenazi_Jew @ 19.835852
14 Belarusian @ 19.939949
15 Bosnian @ 20.061137
16 Ukrainian_Lviv @ 20.212541
17 Serbian_Bosnia @ 20.306077
18 Montenegrin @ 20.703051
19 Ukrainian_Belgorod @ 20.752712
20 Macedonian @ 21.301739
180 iterations.

Using 2 populations approximation:
1 Albanian+Chuvash @ 11.822417
2 Ashkenazi_Jew+Chuvash @ 11.893761
3 Croatian+Nogai @ 12.035841
4 Nogai+Serbian_Bosnia @ 12.040333
5 Nogai+Serbian @ 12.051841
6 Montenegrin+Nogai @ 12.08815
7 Bosnian+Nogai @ 12.247207
8 Erzya+Turkish @ 12.249292
9 Nogai+Ukrainian_Lviv @ 12.274805
10 Hungarian+Nogai @ 12.376966
11 Chuvash+Moroccan_Jew @ 12.43067
12 Nogai+Romanian @ 12.439206
13 Nogai+Ukrainian_Poltava @ 12.462803
14 Bulgarian+Nogai @ 12.475938
15 Nogai+Utah_German @ 12.477886
16 Ashkenazi_Jew+Moksha @ 12.486347
17 Macedonian+Nogai @ 12.491391
18 Chuvash+Sicilian @ 12.494716
19 Nogai+Ukrainian_Kharkov @ 12.552205
20 Chuvash+Moroccan_Jewish @ 12.586515
16290 iterations.

Using 3 populations approximation:
1 50% HungaryGamba_EN +25% Karsdorf_LN +25% Uygur @ 9.265876
2 50% LBK_EN +25% Samara_HG +25% Uygur @ 9.520498
3 50% Spain_EN +25% Samara_HG +25% Uygur @ 9.545538
4 50% Stuttgart +25% Samara_HG +25% Uygur @ 9.550259
5 50% HungaryGamba_EN +25% Samara_HG +25% Uygur @ 9.601222
6 50% Sardinian +25% Karsdorf_LN +25% Uygur @ 9.649433
7 50% HungaryGamba_EN +25% Karsdorf_LN +25% Mongolian @ 9.655848
8 50% HungaryGamba_EN +25% Karsdorf_LN +25% Kyrgyz @ 9.681248
9 50% Sardinian +25% Samara_HG +25% Uygur @ 9.752201
10 50% Sardinian +25% Karsdorf_LN +25% Yukagir @ 9.875694
11 50% Sardinian +25% Karsdorf_LN +25% Mongolian @ 9.929544
12 50% Sardinian +25% Greenland +25% Karsdorf_LN @ 9.934662
13 50% HungaryGamba_EN +25% Karsdorf_LN +25% Mongola @ 9.937212
14 50% Spain_EN +25% Mongola +25% Samara_HG @ 9.978328
15 50% Tuscan +25% Samara_HG +25% Uygur @ 10.015481
16 50% Ukrainian_Lviv +25% HungaryGamba_EN +25% Uygur @ 10.022785
17 50% LBK_EN +25% Daur +25% Samara_HG @ 10.038611
18 50% Spain_EN +25% Daur +25% Samara_HG @ 10.041332
19 50% Sardinian +25% Karsdorf_LN +25% Kyrgyz @ 10.044294
20 50% HungaryGamba_EN +25% Corded_Ware_LN +25% Uygur @ 10.045565
2915910 iterations.

Using 4 populations approximation:
1 Albanian+LBK_EN+Samara_HG+Uygur @ 8.894999
2 Albanian+Samara_HG+Stuttgart+Uygur @ 8.915238
3 Albanian+HungaryGamba_EN+Samara_HG+Uygur @ 9.024041
4 LBK_EN+Samara_HG+Tuscan+Uygur @ 9.064878
5 Albanian+Samara_HG+Spain_EN+Uygur @ 9.078109
6 Samara_HG+Stuttgart+Tuscan+Uygur @ 9.087845
7 Ashkenazi_Jew+LBK_EN+Samara_HG+Uygur @ 9.175248
8 Ashkenazi_Jew+Samara_HG+Stuttgart+Uygur @ 9.182099
9 LBK_EN+Samara_HG+Sicilian+Uygur @ 9.187534
10 HungaryGamba_EN+Samara_HG+Tuscan+Uygur @ 9.194917
11 Samara_HG+Sicilian+Stuttgart+Uygur @ 9.197923
12 Ashkenazi_Jew+Samara_HG+Spain_EN+Uygur @ 9.205206
13 Samara_HG+Spain_EN+Tuscan+Uygur @ 9.22005
14 Samara_HG+Sicilian+Spain_EN+Uygur @ 9.224331
15 LBK_EN+Samara_HG+Spanish+Uygur @ 9.240459
16 LBK_EN+Samara_HG+Uygur+West_Sicilian @ 9.241872
17 HungaryGamba_EN+Karsdorf_LN+Spanish+Uygur @ 9.248288
18 East_Sicilian+LBK_EN+Samara_HG+Uygur @ 9.251144
19 Samara_HG+Stuttgart+Uygur+West_Sicilian @ 9.253772
20 Albanian+Samara_HG+Sardinian+Uygur @ 9.254714
21 East_Sicilian+Samara_HG+Spain_EN+Uygur @ 9.255911
22 HungaryGamba_EN+Karsdorf_LN+Sardinian+Uygur @ 9.258008
23 East_Sicilian+Samara_HG+Stuttgart+Uygur @ 9.258442
24 Ashkenazi_Jew+HungaryGamba_EN+Samara_HG+Uygur @ 9.261494
25 HungaryGamba_EN+HungaryGamba_EN+Karsdorf_LN+Uygur @ 9.265876
26 Greek+LBK_EN+Samara_HG+Uygur @ 9.266879
27 Greek+Samara_HG+Stuttgart+Uygur @ 9.277697
28 HungaryGamba_EN+Samara_HG+Sicilian+Uygur @ 9.287227
29 Samara_HG+Spain_EN+Uygur+West_Sicilian @ 9.288062
30 Samara_HG+Spanish+Stuttgart+Uygur @ 9.288076
31 Croatian+LBK_EN+Samara_HG+Uygur @ 9.300008
32 LBK_EN+Maltese+Samara_HG+Uygur @ 9.300355
33 Samara_HG+South_Italian+Spain_EN+Uygur @ 9.304883
34 Maltese+Samara_HG+Stuttgart+Uygur @ 9.30876
35 Albanian+Karelia_HG+LBK_EN+Uygur @ 9.31194
36 LBK_EN+Samara_HG+Serbian+Uygur @ 9.312253
37 Maltese+Samara_HG+Spain_EN+Uygur @ 9.313045
38 LBK_EN+Samara_HG+South_Italian+Uygur @ 9.327797
39 LBK_EN+Montenegrin+Samara_HG+Uygur @ 9.328765
40 Bulgarian+LBK_EN+Samara_HG+Uygur @ 9.329838
45212895 iterations.

Dr_McNinja
04-29-2015, 08:18 PM
Me:

Least-squares method.

Using 1 population approximation:
1 Chuvash @ 28.663299
2 Nogai @ 28.893984
3 Bosnian @ 30.681991
4 Moksha @ 31.007275
5 Hungarian @ 31.20128
6 Serbian_Bosnia @ 31.295006
7 Erzya @ 31.557696
8 Romanian @ 31.601041
9 Croatian @ 31.663624
10 Serbian @ 31.675424
11 Ukrainian_Lviv @ 31.878753
12 Bulgarian @ 32.197846
13 Czech @ 32.340532
14 Russian_Kargopol @ 32.354001
15 Ukrainian_Poltava @ 32.422599
16 Montenegrin @ 32.453045
17 Ukrainian_Kharkov @ 32.572028
18 Russian @ 32.632642
19 Ukrainian_Belgorod @ 32.65373
20 Macedonian @ 32.802803
180 iterations.

Using 2 populations approximation:
1 Croatian+Ust_Ishim @ 18.4191
2 Serbian_Bosnia+Ust_Ishim @ 18.616648
3 Croatian+Thai @ 18.857724
4 Serbian+Ust_Ishim @ 19.019508
5 Montenegrin+Ust_Ishim @ 19.03354
6 Bosnian+Ust_Ishim @ 19.116583
7 Serbian_Bosnia+Thai @ 19.169642
8 Hungarian+Ust_Ishim @ 19.175687
9 Ukrainian_Poltava+Ust_Ishim @ 19.224624
10 Hungarian+Thai @ 19.238274
11 Ukrainian_Lviv+Ust_Ishim @ 19.31873
12 Ukrainian_Kharkov+Ust_Ishim @ 19.344127
13 Czech+Thai @ 19.345163
14 Thai+Ukrainian_Lviv @ 19.364908
15 Serbian+Thai @ 19.400272
16 Thai+Ukrainian_Poltava @ 19.43881
17 Bosnian+Thai @ 19.489021
18 HungaryGamba_BA+Thai @ 19.515503
19 Czech+Ust_Ishim @ 19.526747
20 Montenegrin+Thai @ 19.53939
16290 iterations.

Using 3 populations approximation:
1 50% Croatian +25% Malay +25% Tubalar @ 11.814711
2 50% Russian_Kargopol +25% Dai +25% Tunisian @ 11.96103
3 50% Croatian +25% Lahu +25% Ust_Ishim @ 11.987884
4 50% Russian_Kargopol +25% Kinh +25% Tunisian @ 12.012242
5 50% Erzya +25% Dai +25% Tunisian @ 12.03159
6 50% Serbian +25% Malay +25% Tubalar @ 12.048676
7 50% Erzya +25% Kinh +25% Tunisian @ 12.049897
8 50% Croatian +25% Kinh +25% Ust_Ishim @ 12.06155
9 50% Erzya +25% Algerian +25% Dai @ 12.080681
10 50% Erzya +25% Algerian +25% Kinh @ 12.082287
11 50% Russian_Kargopol +25% Algerian +25% Dai @ 12.082592
12 50% Montenegrin +25% Malay +25% Tubalar @ 12.085889
13 50% Serbian_Bosnia +25% Malay +25% Tubalar @ 12.086505
14 50% Erzya +25% Dai +25% Moroccan @ 12.090058
15 50% Croatian +25% Cambodian +25% Greenland @ 12.093463
16 50% Erzya +25% Kinh +25% Moroccan @ 12.101189
17 50% Russian_Kargopol +25% Dai +25% Egyptian @ 12.101887
18 50% Russian_Kargopol +25% Dai +25% Moroccan @ 12.107569
19 50% Russian_Kargopol +25% Algerian +25% Kinh @ 12.116712
20 50% Russian_Kargopol +25% Kinh +25% Moroccan @ 12.151106
2566694 iterations.

Using 4 populations approximation:
1 Dai+LBK_EN+MA1+Saami_WGA @ 10.505077
2 Dai+MA1+Saami_WGA+Stuttgart @ 10.50965
3 Dai+HungaryGamba_EN+MA1+Saami_WGA @ 10.54295
4 HungaryGamba_EN+Lahu+Samara_HG+Ust_Ishim @ 10.574016
5 Lahu+LBK_EN+Samara_HG+Ust_Ishim @ 10.595938
6 Lahu+Samara_HG+Stuttgart+Ust_Ishim @ 10.598451
7 Karelia_HG+LBK_EN+Malay+Tubalar @ 10.640388
8 HungaryGamba_EN+Kinh+Samara_HG+Ust_Ishim @ 10.653694
9 Karelia_HG+Malay+Stuttgart+Tubalar @ 10.664788
10 Chuvash+Dai+Karelia_HG+Moroccan @ 10.675698
11 Kinh+LBK_EN+Samara_HG+Ust_Ishim @ 10.677456
12 Kinh+Samara_HG+Stuttgart+Ust_Ishim @ 10.679001
13 Kinh+LBK_EN+MA1+Saami_WGA @ 10.688811
14 Kinh+MA1+Saami_WGA+Stuttgart @ 10.692423
15 HungaryGamba_EN+Kinh+MA1+Saami_WGA @ 10.724006
16 Chuvash+Karelia_HG+Moroccan+Thai @ 10.743956
17 HungaryGamba_EN+Karelia_HG+Malay+Tubalar @ 10.76336
18 Dai+MA1+Saami_WGA+Spain_EN @ 10.782202
19 Chuvash+Karelia_HG+Kinh+Moroccan @ 10.824853
20 Cambodian+Chuvash+Karelia_HG+Moroccan @ 10.83377
21 Lahu+Samara_HG+Spain_EN+Ust_Ishim @ 10.840984
22 Chuvash+Dai+Karelia_HG+Tunisian @ 10.841303
23 Kinh+Samara_HG+Spain_EN+Ust_Ishim @ 10.911906
24 Chuvash+Dai+Karelia_HG+LBK_EN @ 10.92116
25 Algerian+Chuvash+Dai+Karelia_HG @ 10.922671
26 Kinh+MA1+Saami_WGA+Spain_EN @ 10.953932
27 Chuvash+Dai+Karelia_HG+Stuttgart @ 10.960342
28 Algerian+Chuvash+Karelia_HG+Thai @ 10.967045
29 Dai+HungaryGamba_EN+Samara_HG+Ust_Ishim @ 10.971143
30 Dai+LBK_EN+Samara_HG+Ust_Ishim @ 10.992239
31 Dai+Samara_HG+Stuttgart+Ust_Ishim @ 10.994598
32 Chuvash+Karelia_HG+Kinh+Tunisian @ 10.996015
33 Chuvash+Dai+HungaryGamba_EN+Karelia_HG @ 11.006527
34 Chuvash+Karelia_HG+LBK_EN+Thai @ 11.039993
35 Lahu+LBK_EN+MA1+Saami_WGA @ 11.053413
36 Lahu+MA1+Saami_WGA+Stuttgart @ 11.057822
37 Algerian+Chuvash+Karelia_HG+Kinh @ 11.058082
38 Cambodian+Chuvash+Karelia_HG+LBK_EN @ 11.060059
39 Malay+Samara_HG+Stuttgart+Tubalar @ 11.074593
40 Algerian+Cambodian+Chuvash+Karelia_HG @ 11.076233
29446027 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 Afghan_Tadjik @ 31.897819
2 Uygur @ 33.518216
3 Afghan_Pashtun @ 33.746976
4 Afghan_Uzbeki @ 34.546383
5 Uzbek @ 37.080538
6 Turkmen @ 37.343041
7 Tadjik @ 38.002736
8 Pathan @ 39.429848
9 Nogai @ 44.485434
10 Kyrgyz @ 45.831347
11 Mongolian @ 47.507362
12 Afghan_Turkmen @ 47.516893
13 Tajik_Pomiri @ 48.765614
14 Burusho @ 49.024738
15 Erzya @ 49.586008
16 Russian @ 51.37095
17 Balochi @ 52.057547
18 Moksha @ 52.086925
19 Iranian @ 52.153727
20 Russian_Kargopol @ 52.618496
180 iterations.

Using 2 populations approximation:
1 Moksha+Ust_Ishim @ 18.568656
2 Hungarian+Ust_Ishim @ 18.995492
3 Romanian+Ust_Ishim @ 19.060251
4 Serbian_Bosnia+Ust_Ishim @ 19.071505
5 Croatian+Ust_Ishim @ 19.078276
6 Ukrainian_Poltava+Ust_Ishim @ 19.15544
7 Serbian+Ust_Ishim @ 19.228505
8 Ukrainian_Lviv+Ust_Ishim @ 19.296811
9 Montenegrin+Ust_Ishim @ 19.331298
10 Russian+Ust_Ishim @ 19.34456
11 Bosnian+Ust_Ishim @ 19.360423
12 Bulgarian+Ust_Ishim @ 19.417304
13 Czech+Ust_Ishim @ 19.446591
14 Macedonian+Ust_Ishim @ 19.459585
15 Erzya+Ust_Ishim @ 19.481413
16 Ust_Ishim+Utah_German @ 19.506894
17 Russian_Kargopol+Ust_Ishim @ 19.556809
18 Chuvash+Ust_Ishim @ 19.568781
19 Ukrainian_Kharkov+Ust_Ishim @ 19.596552
20 Nogai+Ust_Ishim @ 19.621847
16290 iterations.

Using 3 populations approximation:
1 50% Ukrainian_Poltava +25% Burmese +25% Ust_Ishim @ 16.220532
2 50% Ukrainian_Poltava +25% Lahu +25% Ust_Ishim @ 16.458531
3 50% Ukrainian_Poltava +25% Kinh +25% Ust_Ishim @ 16.467629
4 50% Ukrainian_Lviv +25% Burmese +25% Ust_Ishim @ 16.564731
5 50% Ukrainian_Poltava +25% Thai +25% Ust_Ishim @ 16.624743
6 50% Hungarian +25% Burmese +25% Ust_Ishim @ 16.635265
7 50% Ukrainian_Poltava +25% Dai +25% Ust_Ishim @ 16.6407
8 50% Ukrainian_Poltava +25% Mongola +25% Ust_Ishim @ 16.729268
9 50% Croatian +25% Burmese +25% Ust_Ishim @ 16.737871
10 50% Serbian +25% Burmese +25% Ust_Ishim @ 16.812456
11 50% Ukrainian_Lviv +25% Kinh +25% Ust_Ishim @ 16.835258
12 50% Montenegrin +25% Burmese +25% Ust_Ishim @ 16.842821
13 50% Ukrainian_Lviv +25% Lahu +25% Ust_Ishim @ 16.846952
14 50% Ukrainian_Poltava +25% Cambodian +25% Ust_Ishim @ 16.849958
15 50% Moksha +25% Kinh +25% Ust_Ishim @ 16.879767
16 50% Serbian_Bosnia +25% Burmese +25% Ust_Ishim @ 16.915396
17 50% Croatian +25% Mongola +25% Ust_Ishim @ 16.916094
18 50% Moksha +25% Lahu +25% Ust_Ishim @ 16.919411
19 50% Ukrainian_Lviv +25% Mongola +25% Ust_Ishim @ 16.936958
20 50% Hungarian +25% Mongola +25% Ust_Ishim @ 16.9668
2915910 iterations.

Using 4 populations approximation:
1 Bougainville+Karelia_HG+Mongola+Sardinian @ 11.457501
2 Bougainville+Mongola+Samara_HG+Sardinian @ 11.489026
3 Bougainville+Karelia_HG+Korean+Sardinian @ 11.643682
4 Bougainville+HungaryGamba_EN+Karelia_HG+Mongola @ 11.684852
5 Bougainville+Karelia_HG+LBK_EN+Mongola @ 11.759748
6 Bougainville+Karelia_HG+Mongola+Stuttgart @ 11.76064
7 Bougainville+Korean+Samara_HG+Sardinian @ 11.824823
8 Bougainville+HungaryGamba_EN+Mongola+Samara_HG @ 11.839059
9 Bougainville+Karelia_HG+Mongola+Spain_EN @ 11.839604
10 Bougainville+HungaryGamba_EN+Karelia_HG+Korean @ 11.853078
11 Bougainville+Esperstedt_MN+Karelia_HG+Mongola @ 11.897378
12 Bougainville+Mongola+Samara_HG+Spain_EN @ 11.913664
13 Bougainville+Esperstedt_MN+Mongola+Samara_HG @ 11.917632
14 Bougainville+Karelia_HG+Korean+LBK_EN @ 11.937352
15 Bougainville+Karelia_HG+Korean+Stuttgart @ 11.943191
16 Bougainville+Mongola+Samara_HG+Stuttgart @ 11.949535
17 Bougainville+LBK_EN+Mongola+Samara_HG @ 11.982123
18 Bougainville+Karelia_HG+Korean+Spain_EN @ 12.043169
19 Bougainville+Esperstedt_MN+Karelia_HG+Korean @ 12.112079
20 Bougainville+HungaryGamba_EN+Korean+Samara_HG @ 12.145943
21 Bougainville+Karelia_HG+Sardinian+Xibo @ 12.157983
22 Bougainville+Samara_HG+Sardinian+Xibo @ 12.189643
23 Bougainville+Korean+Samara_HG+Spain_EN @ 12.267848
24 Bougainville+Korean+Samara_HG+Stuttgart @ 12.281547
25 Bougainville+Esperstedt_MN+Korean+Samara_HG @ 12.283391
26 Bougainville+Korean+LBK_EN+Samara_HG @ 12.309843
27 Bougainville+Mongola+Samara_HG+Spain_MN @ 12.340069
28 Bougainville+HungaryGamba_EN+Karelia_HG+Xibo @ 12.38279
29 Bougainville+Karelia_HG+Mongola+Spain_MN @ 12.408148
30 Bougainville+Karelia_HG+LBK_EN+Xibo @ 12.459232
31 Bougainville+Karelia_HG+Stuttgart+Xibo @ 12.462178
32 Bougainville+HungaryGamba_EN+Samara_HG+Xibo @ 12.523717
33 Bougainville+Karelia_HG+Spain_EN+Xibo @ 12.546374
34 Bougainville+Karelia_HG+Sardinian+Tu @ 12.575367
35 Bougainville+Karelia_HG+Maltese+Mongola @ 12.578536
36 Bougainville+Karelia_HG+Mongola+Spanish @ 12.584521
37 Bougainville+Esperstedt_MN+Karelia_HG+Xibo @ 12.605902
38 Bougainville+Samara_HG+Spain_EN+Xibo @ 12.619416
39 Bougainville+Karelia_HG+Mongola+Sicilian @ 12.621943
40 Bougainville+Esperstedt_MN+Samara_HG+Xibo @ 12.628277
45212895 iterations.

Using 4 populations approximation:
1 Dai+LBK_EN+MA1+Saami_WGA @ 10.505077
2 Dai+MA1+Saami_WGA+Stuttgart @ 10.50965
3 Dai+HungaryGamba_EN+MA1+Saami_WGA @ 10.54295
4 HungaryGamba_EN+Lahu+Samara_HG+Ust_Ishim @ 10.574016
5 Lahu+LBK_EN+Samara_HG+Ust_Ishim @ 10.595938
6 Lahu+Samara_HG+Stuttgart+Ust_Ishim @ 10.598451
7 Karelia_HG+LBK_EN+Malay+Tubalar @ 10.640388
8 HungaryGamba_EN+Kinh+Samara_HG+Ust_Ishim @ 10.653694
9 Karelia_HG+Malay+Stuttgart+Tubalar @ 10.664788
10 Chuvash+Dai+Karelia_HG+Moroccan @ 10.675698

Dr_McNinja
04-29-2015, 08:42 PM
These averages won't produce accurate oracle results because of the calculator effect.

The only way to produce an accurate oracle sheet is with user data.

Yes, moreso with South Asians because of how the closest population (GujaratiA) seems different from all the user samples submitted here.

Anabasis
04-29-2015, 08:55 PM
Yes, moreso with South Asians because of how the closest population (GujaratiA) seems different from all the user samples submitted here.

Dr. Mcninja i saw the chart that only 60% of my SNP is calculated. Do you kno why is that? It seems so low percentage as far as most of the people have 94%

Arbogan
04-29-2015, 08:56 PM
I've tried running my file. But R doesn't seem to find my genetics data. I get this error message for some odd reason: In file(file, "rt") :
cannot open file 'xxxxxx.txt': No such file or directory

Dr_McNinja
04-29-2015, 08:57 PM
Dr. Mcninja i saw the chart that only 60% of my SNP is calculated. Do you kno why is that? It seems so low percentage as far as most of the people have 94%

23andMe V3 has 94%, 23andMe V4 has 83%, and FTDNA FF / AncestryDNA have 60%

Arbogan
04-29-2015, 09:04 PM
23andMe V3 has 94%, 23andMe V4 has 83%, and FTDNA FF / AncestryDNA have 60%
What about ancient v2 data?

Arbogan
04-29-2015, 10:52 PM
42.17% Near_Eastern*
1.22% East_Asian*
1.69% Siberian*
0.23% Oceanian*
2.83% WHG-UHG*
1.06% Sub-Saharan*
35.67% Hindu_Kush*
14.74% Steppe*
0.27% Amerindian*
0.12% Southeast_Asian

courtesy of dr.mc ninja.

BalkanKiwi
04-29-2015, 11:25 PM
I'm late to the party but I ran both my FTDNA data and 23andMe data through R for comparison.

FTDNA

32.48% Near_Eastern
0.43% East_Asian
0.01% Siberian
0.51% Oceanian
37.39% WHG-UHG
0.00% Sub-Saharan
3.58% Hindu_Kush
24.77% Steppe
0.82% Amerindian
0.00% Southeast_Asian

23andMe

32.49% Near_Eastern
0.21% East_Asian
0.03% Siberian
0.84% Oceanian
36.92% WHG-UHG
0.00% Sub-Saharan
3.30% Hindu_Kush
25.61% Steppe
0.41% Amerindian
0.19% Southeast_Asian

Oracle using 23andMe data

east-squares method.

Using 1 population approximation:
1 Hungarian @ 2.978348
2 Utah_German @ 4.065544
3 Utah_USA @ 4.111115
4 English @ 4.431271
5 Czech @ 4.901374
6 Utah_British @ 5.559023
7 Serbian_Bosnia @ 6.67648
8 Scottish @ 6.752947
9 Bosnian @ 6.761341
10 Croatian @ 6.83256
11 Orcadian @ 6.843592
12 HungaryGamba_BA @ 7.55516
13 French @ 7.624802
14 Ukrainian_Lviv @ 8.312475
15 Utah_Scandinavian @ 8.553852
16 Norwegian @ 8.669483
17 Ukrainian_Poltava @ 8.738867
18 Icelandic @ 8.837456
19 Serbian @ 10.177175
20 Ukrainian_Kharkov @ 10.965002
180 iterations.

Using 2 populations approximation:
1 Croatian+Scottish @ 1.226585
2 Scottish+Serbian_Bosnia @ 1.244122
3 Bosnian+Utah_British @ 1.277824
4 Croatian+Orcadian @ 1.308043
5 Orcadian+Serbian_Bosnia @ 1.363928
6 Icelandic+Serbian @ 1.401292
7 Bosnian+English @ 1.434996
8 French+Ukrainian_Lviv @ 1.47106
9 Norwegian+Serbian @ 1.485917
10 Serbian_Bosnia+Utah_British @ 1.523573
11 English+Hungarian @ 1.547939
12 Bergamo+Lithuanian @ 1.557313
13 Bosnian+Scottish @ 1.560705
14 English+Serbian_Bosnia @ 1.609947
15 Bosnian+Orcadian @ 1.659785
16 Bosnian+Utah_USA @ 1.66124
17 Hungarian+Utah_USA @ 1.664934
18 Bell_Beaker_LN+Montenegrin @ 1.686028
19 Croatian+Utah_British @ 1.770899
20 Serbian_Bosnia+Utah_USA @ 1.82324
16290 iterations.

Using 3 populations approximation:
1 50% English +25% Bosnian +25% Hungarian @ 0.861827
2 50% Czech +25% Bergamo +25% Halberstadt_LBA @ 0.904433
3 50% Utah_Scandinavian +25% English +25% Kosovar @ 0.925012
4 50% Utah_Scandinavian +25% Albanian +25% Orcadian @ 0.928968
5 50% English +25% Czech +25% Serbian @ 0.949879
6 50% Utah_Scandinavian +25% Kosovar +25% Utah_USA @ 0.961613
7 50% BenzigerodeHeimburg_LN +25% English +25% Spain_EN @ 0.961796
8 50% Utah_Scandinavian +25% Albanian +25% Scottish @ 0.96349
9 50% Icelandic +25% Czech +25% Kosovar @ 0.970591
10 50% Utah_Scandinavian +25% Kosovar +25% Utah_German @ 0.977326
11 50% Bosnian +25% BenzigerodeHeimburg_LN +25% Spanish_North @ 0.987355
12 50% Bosnian +25% Bell_Beaker_LN +25% HungaryGamba_BA @ 0.989541
13 50% Icelandic +25% Tuscan +25% Ukrainian_Lviv @ 1.000375
14 50% Utah_Scandinavian +25% Greek +25% Icelandic @ 1.006536
15 50% Utah_British +25% Alberstedt_LN +25% Kosovar @ 1.008139
16 50% English +25% Albanian +25% Lithuanian @ 1.021034
17 50% Icelandic +25% Albanian +25% Czech @ 1.024819
18 50% Alberstedt_LN +25% BenzigerodeHeimburg_LN +25% Spain_EN @ 1.056729
19 50% English +25% Alberstedt_LN +25% Macedonian @ 1.057986
20 50% English +25% Bulgarian +25% Utah_Scandinavian @ 1.059882
1106117 iterations.

Using 4 populations approximation:
1 French+Kosovar+Lithuanian+Orcadian @ 0.807896
2 Alberstedt_LN+Bergamo+English+Ukrainian_Lviv @ 0.810288
3 Alberstedt_LN+French+Lithuanian+Tuscan @ 0.833495
4 French+Kosovar+Lithuanian+Scottish @ 0.848296
5 Bosnian+English+English+Hungarian @ 0.861827
6 Czech+English+Macedonian+Orcadian @ 0.872555
7 Albanian+Alberstedt_LN+Halberstadt_LBA+HungaryGamb a_BA @ 0.880634
8 Basque+Bergamo+Corded_Ware_LN+English @ 0.882952
9 Bell_Beaker_LN+Croatian+English+Serbian @ 0.895489
10 Alberstedt_LN+Bergamo+English+Ukrainian_Poltava @ 0.896573
11 Czech+English+Macedonian+Scottish @ 0.89663
12 Bell_Beaker_LN+Bergamo+Lithuanian+Serbian @ 0.904212
13 Bergamo+Czech+Czech+Halberstadt_LBA @ 0.904433
14 Alberstedt_LN+Bergamo+Ukrainian_Lviv+Utah_USA @ 0.908525
15 Czech+French+Halberstadt_LBA+Montenegrin @ 0.924312
16 English+Kosovar+Utah_Scandinavian+Utah_Scandinavia n @ 0.925012
17 Czech+English+Macedonian+Norwegian @ 0.926138
18 Albanian+Orcadian+Utah_Scandinavian+Utah_Scandinav ian @ 0.928968
19 Alberstedt_LN+French+Serbian+Utah_German @ 0.935117
20 Albanian+French+Lithuanian+Norwegian @ 0.937298
21 Alberstedt_LN+French+Macedonian+Utah_Scandinavian @ 0.940094
22 Albanian+French+Icelandic+Lithuanian @ 0.940264
23 Bell_Beaker_LN+HungaryGamba_BA+Kosovar+Ukrainian_B elgorod @ 0.942098
24 Icelandic+Kosovar+Utah_German+Utah_Scandinavian @ 0.942798
25 Alberstedt_LN+Bergamo+Ukrainian_Lviv+Utah_British @ 0.942923
26 BenzigerodeHeimburg_LN+Greek+Lithuanian+Spanish_No rth @ 0.946193
27 Orcadian+Polish+Tuscan+Utah_Scandinavian @ 0.947933
28 Czech+English+English+Serbian @ 0.949879
29 English+Kosovar+Orcadian+Polish @ 0.953605
30 English+Kosovar+Polish+Scottish @ 0.954905
31 Albanian+Alberstedt_LN+English+Icelandic @ 0.955819
32 Bosnian+Czech+French+Orcadian @ 0.956272
33 Bulgarian+English+Utah_German+Utah_Scandinavian @ 0.957024
34 Czech+English+Montenegrin+Scottish @ 0.957888
35 Czech+Macedonian+Scottish+Utah_British @ 0.958111
36 Bell_Beaker_LN+English+Serbian+Serbian_Bosnia @ 0.958203
37 Czech+English+Icelandic+Macedonian @ 0.960812
38 BenzigerodeHeimburg_LN+Kosovar+Polish+Spanish_Nort h @ 0.961106
39 Polish+Scottish+Tuscan+Utah_Scandinavian @ 0.961414
40 Kosovar+Utah_Scandinavian+Utah_Scandinavian+Utah_U SA @ 0.961613
3042053 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 English @ 2.613089
2 Orcadian @ 3.532721
3 Utah_USA @ 3.738438
4 Scottish @ 3.843328
5 Czech @ 3.850248
6 Utah_British @ 3.964079
7 Utah_German @ 3.973561
8 Icelandic @ 3.97606
9 French @ 4.057066
10 Serbian_Bosnia @ 4.214268
11 Hungarian @ 4.278762
12 Norwegian @ 4.330814
13 Bosnian @ 4.333175
14 Croatian @ 4.497867
15 Utah_Scandinavian @ 4.557531
16 Alberstedt_LN @ 4.557616
17 Serbian @ 4.899333
18 Montenegrin @ 5.054984
19 Halberstadt_LBA @ 5.067629
20 Ukrainian_Lviv @ 5.17989
180 iterations.

Using 2 populations approximation:
1 English+English @ 2.613089
2 English+HungaryGamba_BA @ 2.627252
3 HungaryGamba_BA+Orcadian @ 2.807871
4 Alberstedt_LN+HungaryGamba_BA @ 2.823905
5 HungaryGamba_BA+Scottish @ 3.065301
6 English+Orcadian @ 3.072929
7 Czech+English @ 3.12777
8 Corded_Ware_LN+Spain_MN @ 3.14209
9 Bergamo+Lithuanian @ 3.142736
10 Halberstadt_LBA+HungaryGamba_BA @ 3.150333
11 Bosnian+HungaryGamba_BA @ 3.184852
12 English+Icelandic @ 3.189859
13 Alberstedt_LN+French @ 3.195243
14 English+Serbian_Bosnia @ 3.20832
15 English+French @ 3.226312
16 HungaryGamba_BA+Icelandic @ 3.226882
17 English+Scottish @ 3.241551
18 Croatian+English @ 3.255613
19 Alberstedt_LN+English @ 3.267216
20 English+Utah_USA @ 3.277795
16290 iterations.

Using 3 populations approximation:
1 50% Alberstedt_LN +25% Alberstedt_LN +25% Spain_EN @ 2.283543
2 50% Basque +25% Basque +25% Yamnaya @ 2.295022
3 50% English +25% English +25% HungaryGamba_BA @ 2.406499
4 50% HungaryGamba_BA +25% Alberstedt_LN +25% Kosovar @ 2.477771
5 50% English +25% Corded_Ware_LN +25% Esperstedt_MN @ 2.482911
6 50% English +25% Corded_Ware_LN +25% Spain_MN @ 2.490716
7 50% Basque +25% Spanish_North +25% Yamnaya @ 2.499771
8 50% English +25% Alberstedt_LN +25% HungaryGamba_BA @ 2.510113
9 50% HungaryGamba_BA +25% Alberstedt_LN +25% English @ 2.522912
10 50% Alberstedt_LN +25% Alberstedt_LN +25% Stuttgart @ 2.536204
11 50% Alberstedt_LN +25% Alberstedt_LN +25% LBK_EN @ 2.563553
12 50% Alberstedt_LN +25% Lithuanian +25% Spain_EN @ 2.570879
13 50% Basque +25% Spain_MN +25% Yamnaya @ 2.575332
14 50% Alberstedt_LN +25% Bergamo +25% HungaryGamba_BA @ 2.583938
15 50% HungaryGamba_BA +25% Halberstadt_LBA +25% Kosovar @ 2.585039
16 50% English +25% HungaryGamba_BA +25% Orcadian @ 2.605962
17 50% Alberstedt_LN +25% Alberstedt_LN +25% Esperstedt_MN @ 2.608588
18 50% Alberstedt_LN +25% Lithuanian +25% Stuttgart @ 2.620676
19 50% English +25% HungaryGamba_BA +25% HungaryGamba_BA @ 2.627252
20 50% English +25% Corded_Ware_LN +25% Spain_EN @ 2.628863
2038716 iterations.

Using 4 populations approximation:
1 Alberstedt_LN+Alberstedt_LN+Alberstedt_LN+Spain_EN @ 2.283543
2 Basque+Basque+Basque+Yamnaya @ 2.295022
3 English+English+English+HungaryGamba_BA @ 2.406499
4 Alberstedt_LN+HungaryGamba_BA+HungaryGamba_BA+Koso var @ 2.477771
5 Corded_Ware_LN+English+English+Esperstedt_MN @ 2.482911
6 Corded_Ware_LN+English+English+Spain_MN @ 2.490716
7 Basque+Basque+Spanish_North+Yamnaya @ 2.499771
8 Alberstedt_LN+English+English+HungaryGamba_BA @ 2.510113
9 Corded_Ware_LN+English+HungaryGamba_BA+Spain_MN @ 2.512681
10 Alberstedt_LN+English+HungaryGamba_BA+HungaryGamba _BA @ 2.522912
11 Alberstedt_LN+Alberstedt_LN+Alberstedt_LN+Stuttgar t @ 2.536204
12 Corded_Ware_LN+Halberstadt_LBA+HungaryGamba_BA+Spa in_EN @ 2.54708
13 Bell_Beaker_LN+Corded_Ware_LN+HungaryGamba_BA+Spai n_EN @ 2.550178
14 Corded_Ware_LN+English+Esperstedt_MN+HungaryGamba_ BA @ 2.551876
15 Alberstedt_LN+Corded_Ware_LN+Esperstedt_MN+Spanish _North @ 2.558769
16 Alberstedt_LN+English+HungaryGamba_BA+Kosovar @ 2.559207
17 Bell_Beaker_LN+Corded_Ware_LN+Esperstedt_MN+Hungar yGamba_BA @ 2.562447
18 Alberstedt_LN+Alberstedt_LN+Alberstedt_LN+LBK_EN @ 2.563553
19 Alberstedt_LN+Alberstedt_LN+Lithuanian+Spain_EN @ 2.570879
20 Basque+Basque+Spain_MN+Yamnaya @ 2.575332
21 Alberstedt_LN+Corded_Ware_LN+Spain_MN+Spanish_Nort h @ 2.580673
22 Alberstedt_LN+Basque+Corded_Ware_LN+Esperstedt_MN @ 2.582637
23 Alberstedt_LN+Alberstedt_LN+Bergamo+HungaryGamba_B A @ 2.583938
24 Halberstadt_LBA+HungaryGamba_BA+HungaryGamba_BA+Ko sovar @ 2.585039
25 Alberstedt_LN+Basque+Corded_Ware_LN+Spain_EN @ 2.590125
26 Alberstedt_LN+Corded_Ware_LN+Spain_EN+Spanish_Nort h @ 2.592661
27 Corded_Ware_LN+Esperstedt_MN+Halberstadt_LBA+Hunga ryGamba_BA @ 2.595053
28 Basque+Bergamo+Corded_Ware_LN+HungaryGamba_BA @ 2.598427
29 English+English+HungaryGamba_BA+Orcadian @ 2.605962
30 Alberstedt_LN+Alberstedt_LN+Alberstedt_LN+Esperste dt_MN @ 2.608588
31 English+English+English+English @ 2.613089
32 Alberstedt_LN+Bergamo+English+HungaryGamba_BA @ 2.614656
33 Corded_Ware_LN+Esperstedt_MN+HungaryGamba_BA+Orcad ian @ 2.616522
34 Bergamo+Corded_Ware_LN+HungaryGamba_BA+Spanish_Nor th @ 2.619874
35 Alberstedt_LN+Alberstedt_LN+Lithuanian+Stuttgart @ 2.620676
36 Greek+Loschbour+Stuttgart+Yamnaya @ 2.621508
37 Corded_Ware_LN+Halberstadt_LBA+Spain_EN+Spanish_No rth @ 2.621733
38 Corded_Ware_LN+Esperstedt_MN+Halberstadt_LBA+Spani sh_North @ 2.621819
39 Alberstedt_LN+English+HungaryGamba_BA+Macedonian @ 2.626068
40 English+English+HungaryGamba_BA+HungaryGamba_BA @ 2.627252
15368577 iterations.

paulgill
04-29-2015, 11:47 PM
Yes, moreso with South Asians because of how the closest population (GujaratiA) seems different from all the user samples submitted here.Can you please post the component % for various Gujarati samples like ABCD etc?

Arbogan
04-30-2015, 12:20 AM
Something super weird I've noticed . Somehow all the south asians are having massive amounts of UHG-WHG. The ENA is nicely filtered into various east eurasian Ks.

ZephyrousMandaru
04-30-2015, 01:18 AM
Steppe K10

Near_Eastern 57.59%
East_Asian 0.00%
Siberian 0.00%
Oceanian 0.77%
WHG-UHG 0.00%
Sub-Saharan 0.00%
Hindu_Kush 27.97%
Steppe 12.99%
Amerindian 0.00%
Southeast_Asian 0.68%

Oracle-4

Least-squares method.

Using 1 population approximation:
1 Assyrian @ 1.191559
2 Armenian @ 4.727663
3 Iraqi_Jew @ 5.095489
4 Iraqi_Jewish @ 5.294677
5 Iranian_Jew @ 5.716187
6 Iranian_Jewish @ 6.070592
7 Syrian @ 8.926567
8 Lebanese_Muslim @ 8.95416
9 Lebanese @ 10.118055
10 Druze @ 10.815802
11 Lebanese_Christian @ 12.0661
12 Jordanian @ 12.135658
13 Kurdish @ 13.924223
14 Cypriot @ 13.932745
15 Palestinian @ 14.618973
16 Cyprian @ 14.856677
17 Turkish @ 14.877826
18 Georgian @ 15.190604
19 Abkhasian @ 17.956285
20 Iranian @ 18.018335
180 iterations.

Using 2 populations approximation:
1 Armenian+Iraqi_Jewish @ 0.883495
2 Armenian+Iraqi_Jew @ 1.184504
3 Assyrian+Assyrian @ 1.191559
4 Armenian+Iranian_Jew @ 1.911766
5 Armenian+Assyrian @ 2.303824
6 Assyrian+Iraqi_Jew @ 2.80622
7 Assyrian+Iraqi_Jewish @ 2.96655
8 Armenian+Iranian_Jewish @ 3.168425
9 Kurdish+Lebanese_Christian @ 3.202655
10 Assyrian+Iranian_Jew @ 3.262337
11 Assyrian+Iranian_Jewish @ 3.419417
12 Iranian_Jewish+Iraqi_Jew @ 4.087571
13 Kurdish+Samaritan @ 4.131038
14 Iranian_Jewish+Lebanese_Muslim @ 4.387349
15 Iranian_Jewish+Iraqi_Jewish @ 4.626801
16 Assyrian+Lebanese_Muslim @ 4.714288
17 Assyrian+Syrian @ 4.716941
18 Armenian+Syrian @ 4.727335
19 Armenian+Armenian @ 4.727663
20 Iranian_Jew+Iraqi_Jew @ 4.780476
16290 iterations.

Using 3 populations approximation:
1 50% Iraqi_Jewish +25% Georgian +25% Iraqi_Jew @ 0.816437
2 50% Iraqi_Jew +25% Georgian +25% Iraqi_Jewish @ 0.881111
3 50% Armenian +25% Iraqi_Jewish +25% Iraqi_Jewish @ 0.883495
4 50% Iraqi_Jewish +25% Georgian +25% Iraqi_Jewish @ 0.909919
5 50% Assyrian +25% Armenian +25% Iraqi_Jew @ 0.95008
6 50% Armenian +25% Iranian_Jew +25% Iraqi_Jew @ 0.955163
7 50% Assyrian +25% Armenian +25% Iraqi_Jewish @ 0.975245
8 50% Armenian +25% Iraqi_Jew +25% Iraqi_Jewish @ 0.977866
9 50% Iraqi_Jew +25% Georgian +25% Iraqi_Jew @ 1.075786
10 50% Iraqi_Jew +25% Georgian +25% Iranian_Jew @ 1.08044
11 50% Armenian +25% Iranian_Jew +25% Iraqi_Jewish @ 1.136139
12 50% Iraqi_Jew +25% Abkhasian +25% Iraqi_Jewish @ 1.157662
13 50% Iraqi_Jewish +25% Abkhasian +25% Iraqi_Jew @ 1.183924
14 50% Armenian +25% Iraqi_Jew +25% Iraqi_Jew @ 1.184504
15 50% Iranian_Jewish +25% Georgian +25% Samaritan @ 1.214203
16 50% Iraqi_Jew +25% Abkhasian +25% Iraqi_Jew @ 1.244933
17 50% Armenian +25% Assyrian +25% Iraqi_Jewish @ 1.250005
18 50% Iranian_Jew +25% Georgian +25% Lebanese_Christian @ 1.250738
19 50% Iranian_Jewish +25% Abkhasian +25% Samaritan @ 1.309922
20 50% Assyrian +25% Armenian +25% Assyrian @ 1.311215
471966 iterations.

Using 4 populations approximation:
1 Georgian+Iraqi_Jew+Iraqi_Jewish+Iraqi_Jewish @ 0.816437
2 Georgian+Iraqi_Jew+Iraqi_Jew+Iraqi_Jewish @ 0.881111
3 Armenian+Armenian+Iraqi_Jewish+Iraqi_Jewish @ 0.883495
4 Georgian+Iraqi_Jewish+Iraqi_Jewish+Iraqi_Jewish @ 0.909919
5 Armenian+Assyrian+Assyrian+Iraqi_Jew @ 0.95008
6 Armenian+Armenian+Iranian_Jew+Iraqi_Jew @ 0.955163
7 Armenian+Assyrian+Assyrian+Iraqi_Jewish @ 0.975245
8 Armenian+Armenian+Iraqi_Jew+Iraqi_Jewish @ 0.977866
9 Georgian+Iraqi_Jew+Iraqi_Jew+Iraqi_Jew @ 1.075786
10 Georgian+Iranian_Jew+Iraqi_Jew+Iraqi_Jew @ 1.08044
11 Armenian+Armenian+Iranian_Jew+Iraqi_Jewish @ 1.136139
12 Abkhasian+Iraqi_Jew+Iraqi_Jew+Iraqi_Jewish @ 1.157662
13 Abkhasian+Iraqi_Jew+Iraqi_Jewish+Iraqi_Jewish @ 1.183924
14 Armenian+Armenian+Iraqi_Jew+Iraqi_Jew @ 1.184504
15 Assyrian+Assyrian+Assyrian+Assyrian @ 1.191559
16 Georgian+Iranian_Jewish+Iranian_Jewish+Samaritan @ 1.214203
17 Abkhasian+Iraqi_Jew+Iraqi_Jew+Iraqi_Jew @ 1.244933
18 Armenian+Armenian+Assyrian+Iraqi_Jewish @ 1.250005
19 Georgian+Iranian_Jew+Iranian_Jew+Lebanese_Christia n @ 1.250738
20 Georgian+Iranian_Jew+Iraqi_Jew+Iraqi_Jewish @ 1.269526
21 Abkhasian+Iranian_Jew+Iranian_Jewish+Samaritan @ 1.28767
22 Abkhasian+Iranian_Jewish+Iranian_Jewish+Samaritan @ 1.309922
23 Armenian+Assyrian+Assyrian+Assyrian @ 1.311215
24 Abkhasian+Iraqi_Jewish+Iraqi_Jewish+Iraqi_Jewish @ 1.316944
25 Armenian+Armenian+Assyrian+Iraqi_Jew @ 1.378793
26 Armenian+Assyrian+Assyrian+Iranian_Jew @ 1.418005
27 Assyrian+Georgian+Iraqi_Jewish+Iraqi_Jewish @ 1.4285
28 Assyrian+Georgian+Iraqi_Jew+Iraqi_Jewish @ 1.42903
29 Armenian+Armenian+Iranian_Jewish+Iraqi_Jew @ 1.430395
30 Georgian+Iranian_Jew+Iranian_Jewish+Lebanese_Chris tian @ 1.440858
31 Georgian+Iranian_Jewish+Iraqi_Jewish+Lebanese_Chri stian @ 1.515041
32 Assyrian+Georgian+Iraqi_Jew+Iraqi_Jew @ 1.521451
33 Georgian+Iranian_Jew+Iraqi_Jewish+Iraqi_Jewish @ 1.52552
34 Abkhasian+Iranian_Jew+Iranian_Jew+Lebanese_Christi an @ 1.547767
35 Armenian+Assyrian+Iranian_Jewish+Iraqi_Jew @ 1.559787
36 Georgian+Iranian_Jew+Iranian_Jewish+Samaritan @ 1.619786
37 Armenian+Assyrian+Iranian_Jew+Iraqi_Jew @ 1.622611
38 Armenian+Armenian+Iranian_Jewish+Iraqi_Jewish @ 1.628143
39 Abkhasian+Iranian_Jew+Iraqi_Jew+Iraqi_Jew @ 1.634129
40 Georgian+Iranian_Jewish+Iraqi_Jew+Iraqi_Jew @ 1.665542
351605 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 Armenian @ 3.147186
2 Assyrian @ 3.423276
3 Iraqi_Jew @ 3.554109
4 Iranian_Jew @ 4.005319
5 Iraqi_Jewish @ 4.04371
6 Iranian_Jewish @ 4.053108
7 Georgian @ 4.652171
8 Lebanese_Christian @ 5.634842
9 Abkhasian @ 5.785384
10 Kurdish @ 5.957412
11 Druze @ 6.120128
12 Lebanese_Muslim @ 6.383423
13 Syrian @ 6.517329
14 Cypriot @ 6.613523
15 Cyprian @ 6.822999
16 Lebanese @ 6.864037
17 Samaritan @ 7.106078
18 Jordanian @ 7.140078
19 Iranian @ 7.344259
20 Palestinian @ 7.561102
180 iterations.

Using 2 populations approximation:
1 Armenian+Iraqi_Jew @ 2.99361
2 Georgian+Iraqi_Jew @ 3.143134
3 Armenian+Armenian @ 3.147186
4 Armenian+Iranian_Jew @ 3.191195
5 Armenian+Assyrian @ 3.201512
6 Armenian+Iraqi_Jewish @ 3.205025
7 Georgian+Iraqi_Jewish @ 3.298635
8 Armenian+Iranian_Jewish @ 3.373622
9 Georgian+Iranian_Jew @ 3.396238
10 Assyrian+Assyrian @ 3.423276
11 Assyrian+Iraqi_Jew @ 3.42619
12 Georgian+Samaritan @ 3.543017
13 Iraqi_Jew+Iraqi_Jew @ 3.554109
14 Assyrian+Iranian_Jew @ 3.59249
15 Assyrian+Georgian @ 3.624595
16 Assyrian+Iraqi_Jewish @ 3.640501
17 Assyrian+Iranian_Jewish @ 3.681265
18 Georgian+Iranian_Jewish @ 3.71538
19 Iranian_Jewish+Iraqi_Jew @ 3.73871
20 Iranian_Jew+Iraqi_Jew @ 3.770662
16290 iterations.

Using 3 populations approximation:
1 50% Iraqi_Jew +25% Georgian +25% Iraqi_Jew @ 2.917474
2 50% Iraqi_Jew +25% Armenian +25% Georgian @ 2.975954
3 50% Armenian +25% Iraqi_Jew +25% Iraqi_Jew @ 2.99361
4 50% Armenian +25% Armenian +25% Iraqi_Jew @ 3.006332
5 50% Iraqi_Jew +25% Georgian +25% Iraqi_Jewish @ 3.040618
6 50% Iraqi_Jew +25% Georgian +25% Iranian_Jew @ 3.04644
7 50% Iraqi_Jew +25% Assyrian +25% Georgian @ 3.06025
8 50% Armenian +25% Armenian +25% Iranian_Jew @ 3.090978
9 50% Armenian +25% Iranian_Jew +25% Iraqi_Jew @ 3.093303
10 50% Armenian +25% Assyrian +25% Iraqi_Jew @ 3.09486
11 50% Armenian +25% Armenian +25% Iraqi_Jewish @ 3.098596
12 50% Armenian +25% Iraqi_Jew +25% Iraqi_Jewish @ 3.106433
13 50% Iraqi_Jew +25% Georgian +25% Iranian_Jewish @ 3.141228
14 50% Georgian +25% Iraqi_Jew +25% Iraqi_Jew @ 3.143134
15 50% Iraqi_Jewish +25% Georgian +25% Iraqi_Jew @ 3.147171
16 50% Armenian +25% Armenian +25% Assyrian @ 3.154879
17 50% Iraqi_Jew +25% Armenian +25% Iraqi_Jew @ 3.163221
18 50% Iraqi_Jewish +25% Armenian +25% Georgian @ 3.163791
19 50% Armenian +25% Georgian +25% Iraqi_Jew @ 3.165769
20 50% Armenian +25% Iranian_Jewish +25% Iraqi_Jew @ 3.170322
1976868 iterations.

Using 4 populations approximation:
1 Georgian+Iraqi_Jew+Iraqi_Jew+Iraqi_Jew @ 2.917474
2 Armenian+Georgian+Iraqi_Jew+Iraqi_Jew @ 2.975954
3 Armenian+Armenian+Iraqi_Jew+Iraqi_Jew @ 2.99361
4 Armenian+Armenian+Armenian+Iraqi_Jew @ 3.006332
5 Georgian+Iraqi_Jew+Iraqi_Jew+Iraqi_Jewish @ 3.040618
6 Georgian+Iranian_Jew+Iraqi_Jew+Iraqi_Jew @ 3.04644
7 Assyrian+Georgian+Iraqi_Jew+Iraqi_Jew @ 3.06025
8 Armenian+Georgian+Iraqi_Jew+Iraqi_Jewish @ 3.077109
9 Armenian+Armenian+Armenian+Iranian_Jew @ 3.090978
10 Armenian+Georgian+Iranian_Jew+Iraqi_Jew @ 3.09249
11 Armenian+Armenian+Iranian_Jew+Iraqi_Jew @ 3.093303
12 Armenian+Armenian+Assyrian+Iraqi_Jew @ 3.09486
13 Armenian+Armenian+Armenian+Iraqi_Jewish @ 3.098596
14 Armenian+Armenian+Iraqi_Jew+Iraqi_Jewish @ 3.106433
15 Georgian+Iranian_Jewish+Iraqi_Jew+Iraqi_Jew @ 3.141228
16 Georgian+Georgian+Iraqi_Jew+Iraqi_Jew @ 3.143134
17 Georgian+Iraqi_Jew+Iraqi_Jewish+Iraqi_Jewish @ 3.147171
18 Armenian+Armenian+Armenian+Armenian @ 3.147186
19 Georgian+Iranian_Jew+Iraqi_Jew+Iraqi_Jewish @ 3.151619
20 Armenian+Armenian+Armenian+Assyrian @ 3.154879
21 Armenian+Iraqi_Jew+Iraqi_Jew+Iraqi_Jew @ 3.163221
22 Armenian+Georgian+Iraqi_Jewish+Iraqi_Jewish @ 3.163791
23 Assyrian+Georgian+Iraqi_Jew+Iraqi_Jewish @ 3.16454
24 Assyrian+Georgian+Iranian_Jew+Iraqi_Jew @ 3.165698
25 Armenian+Armenian+Georgian+Iraqi_Jew @ 3.165769
26 Armenian+Assyrian+Georgian+Iraqi_Jew @ 3.168134
27 Armenian+Armenian+Iranian_Jewish+Iraqi_Jew @ 3.170322
28 Armenian+Armenian+Assyrian+Iranian_Jew @ 3.171282
29 Georgian+Iranian_Jew+Iranian_Jew+Iraqi_Jew @ 3.171869
30 Armenian+Georgian+Iranian_Jew+Iraqi_Jewish @ 3.17674
31 Armenian+Assyrian+Iraqi_Jew+Iraqi_Jew @ 3.184542
32 Armenian+Armenian+Assyrian+Iraqi_Jewish @ 3.19003
33 Armenian+Armenian+Iranian_Jew+Iraqi_Jewish @ 3.190977
34 Armenian+Armenian+Iranian_Jew+Iranian_Jew @ 3.191195
35 Armenian+Armenian+Assyrian+Assyrian @ 3.201512
36 Armenian+Armenian+Iraqi_Jewish+Iraqi_Jewish @ 3.205025
37 Armenian+Armenian+Armenian+Iranian_Jewish @ 3.205704
38 Armenian+Georgian+Iranian_Jew+Iranian_Jew @ 3.206425
39 Assyrian+Assyrian+Georgian+Iraqi_Jew @ 3.208546
40 Armenian+Georgian+Iraqi_Jew+Samaritan @ 3.214128
13267532 iterations.

ADW_1981
04-30-2015, 02:02 AM
Since Yamnaya sample the reference for the Steppe component, Hindu_Kush is much closer to being an "east of the zagros" farmer component. Take a look at the Tajik population. They might be indicative of what the PIE speakers were in order of %- Steppe/WHG/Kush.

31.94% Near_Eastern
0.00% East_Asian
0.00% Siberian
0.42% Oceanian
40.01% WHG-UHG
0.00% Sub-Saharan
2.88% Hindu_Kush
24.58% Steppe
0.16% Amerindian
0.01% Southeast_Asian

ashwinb
04-30-2015, 02:12 AM
I've got lower Near east and steppe,and more Hindu Kush and similar WHG as compared to most samples. What does that indicate? What all does hindukush constitute?

parasar
04-30-2015, 02:46 AM
Something super weird I've noticed . Somehow all the south asians are having massive amounts of UHG-WHG. The ENA is nicely filtered into various east eurasian Ks.

For some, UHG-WHG+Hindu Kush leaves little else.

parasar
04-30-2015, 03:24 AM
I've got lower Near east and steppe,and more Hindu Kush and similar WHG as compared to most samples. What does that indicate? What all does hindukush constitute?

I'm not that familiar with autosomal methods, but it looks suspiciously like the yellow C/SA component below peaking in the Kalash:
http://www.cell.com/cms/attachment/607255/4833573/gr2.jpg

Raskolnikov
04-30-2015, 03:32 AM
Hadn't used R in 2 years but it was worth it to figure out how to use it again.

12.82% Near_Eastern
5.69% East_Asian
1.71% Siberian
2.93% Oceanian
8.24% WHG-UHG
0.00% Sub-Saharan
52.04% Hindu_Kush
9.05% Steppe
1.68% Amerindian
5.84% Southeast_Asian

Kurd
04-30-2015, 03:56 AM
Hindu Kush won the battle with Near Eastern. The genotype rate was 83% with the V4 chip, which is better overlap than the MDLP k10. E Eurasian components seemed a tad high.

http://i.imgur.com/bmLLDXR.jpg
http://i.imgur.com/ToiiDLQ.jpg

10 ancestral populations
101647 total SNPs
442 flipped SNPs
28828 heterozygous SNPs
128 no-calls
16954 absent SNPs
0.831948 genotype rate
mode genomewide

17082 SNPs missing (no-call or absent

Arbogan
04-30-2015, 06:07 AM
Since Yamnaya sample the reference for the Steppe component, Hindu_Kush is much closer to being an "east of the zagros" farmer component. Take a look at the Tajik population. They might be indicative of what the PIE speakers were in order of %- Steppe/WHG/Kush.

31.94% Near_Eastern
0.00% East_Asian
0.00% Siberian
0.42% Oceanian
40.01% WHG-UHG
0.00% Sub-Saharan
2.88% Hindu_Kush
24.58% Steppe
0.16% Amerindian
0.01% Southeast_Asian

Tajiks arent that different from others in the region. I do believe there must've have been another population contributing to indo-iranians or this calculator is dividing it incorrectly. And not capturing IE diversity. The amount of WHG-UHG in south-asians is telling us that. This component is similar to yamnayas fit by haak et al. But whatever central asian-NF like contribution you see yamnayas display in other tests is leaking into hindu kush. I suspect there is an unknown central-asian-farmer like population that contributed to both yamnaya and IE and to south central asians. And might have immigrated from north-caucasus or the caspian.
There is some aDNA from neolithic central asia that supposedly being used as basis of study. It will be interesting how those samples will play out in our ever refining idea of aDNA.


I'm not that familiar with autosomal methods, but it looks suspiciously like the yellow C/SA component below peaking in the Kalash:
http://www.cell.com/cms/attachment/607255/4833573/gr2.jpg its because HK is ANE+ENF+minor ASI . A funny thing I noticed , part of the ASI or local ENA in south-asians is coming out as WHG-UHG in this admixture run. Because david choose to cut out the south asian reference data to make a yamnaya based component that is more similar to haak's fit.

alan
04-30-2015, 07:14 AM
The whole spread of farming into Iran east of the Zagros, central Asia the Caucasus little before 6000BC was extremely delayed when you consider the Zagros started the steps to farming at the end of the Younger Dryas. So, given that farming groups in the Zagros etc had 3000 years or more to diversify before farming spread into northern Iran, Tajik etc I would imagine this spread east of farming could have been a distinctive subset or founder effect. I am also of the opinion that the Zagros received an input of ANE from Siberia at the end of the Younger Dryas just as farming commenced so unlike those further west the Zagros farmers and any offshoots they made to the east could have carried ANE IMO. I believe that only slowly did ANE spread west within SW Asia and was only just reaching the east Med c. 6000BC in small nos. Too small to leave detectable ANE in European settlers but enough to leave the occasional P25xP297 person in European Cardial.

Arbogan
04-30-2015, 07:47 AM
The whole spread of farming into Iran east of the Zagros, central Asia the Caucasus little before 6000BC was extremely delayed when you consider the Zagros started the steps to farming at the end of the Younger Dryas. So, given that farming groups in the Zagros etc had 3000 years or more to diversify before farming spread into northern Iran, Tajik etc I would imagine this spread east of farming could have been a distinctive subset or founder effect. I am also of the opinion that the Zagros received an input of ANE from Siberia at the end of the Younger Dryas just as farming commenced so unlike those further west the Zagros farmers and any offshoots they made to the east could have carried ANE IMO. I believe that only slowly did ANE spread west within SW Asia and was only just reaching the east Med c. 6000BC in small nos. Too small to leave detectable ANE in European settlers but enough to leave the occasional P25xP297 person in European Cardial. Thats an interesting hypothesis. There are multiple zagros neolithic graves. But no interest in acquiring samples and sequencing them. The only samples I know of are that have been obtained are from north Iran.

paulgill
04-30-2015, 11:00 AM
Thats an interesting hypothesis. There are multiple zagros neolithic graves. But no interest in acquiring samples and sequencing them. The only samples I know of are that have been obtained are from north Iran.That need to be reported to the ones who are desperately looking for such evidence.

Kurd
04-30-2015, 02:20 PM
Hindu Kush won the battle with Near Eastern. The genotype rate was 83% with the V4 chip, which is better overlap than the MDLP k10. E Eurasian components seemed a tad high.

http://i.imgur.com/bmLLDXR.jpg
http://i.imgur.com/ToiiDLQ.jpg

10 ancestral populations
101647 total SNPs
442 flipped SNPs
28828 heterozygous SNPs
128 no-calls
16954 absent SNPs
0.831948 genotype rate
mode genomewide

17082 SNPs missing (no-call or absent

http://i.imgur.com/YAMk4pM.jpg
http://i.imgur.com/avriKFs.jpg

anglesqueville
04-30-2015, 09:39 PM
Hi community. I'm very new here, and not familiar with the customs of this forum. My question is very distant from the previous topics, so if you think it is inopportune don't hesitate to tell it. I've run K10 with my 23andMe's datas, no problem. From a distance, the results are quite usual for a northern french:

36.8 NE, 0.01 EA, 1.12 Siberian, 0.02 Oceanian, 37.61 WHG-UHG, 0.11 Sub-Sah, 3.07 HK, 20.21 Steppe, 1.06 amer, 0 SA.

Seen close up, there is something strange: the "Siberian" amount is 10 times higher than the french average (1.12% against 0.11%) from Davidki/HGDP's spreadsheet. What do you think? Noise, or not noise? If "not noise", where this siberian component can come from? Possibly Finland? ( I have a small but stable finnish component with 23, confirmed with K12b chromosome painting, and a bunch of finnish relatives on the segments involved).

Generalissimo
04-30-2015, 11:51 PM
The "Siberian" amount is 10 times higher than the french average (1.12% against 0.11%) from Davidki/HGDP's spreadsheet. What do you think? Noise, or not noise?

Calculator effect.

Chad Rohlfsen
05-01-2015, 12:15 AM
David,

Do you think my 1.6% Siberian is also a calculator effect? I have 3 chromosomes that get over 7% Asian, including Siberian, SE Asian, etc. It is interesting to consider the fact that possibly thousands of Alans and Sarmatians may have left descendants in Western Europe. If these outlier Siberians are concentrated in certain locations, there could be some truth to it.

jeanL
05-01-2015, 12:50 AM
My paternal grandmother's results:

10 ancestral populations
101647 total SNPs
4 flipped SNPs
31690 heterozygous SNPs
1460 no-calls
4651 absent SNPs
0.939880 genotype rate
mode genomewide

6111 SNPs missing (no-call or absent)

6263 total iterations
9.998E-08 final dQ

----------------------------
FINAL ADMIXTURE PROPORTIONS:
----------------------------

43.53% Near_Eastern
1.22% East_Asian
0.36% Siberian
0.00% Oceanian
29.14% WHG-UHG
4.96% Sub-Saharan
2.37% Hindu_Kush
13.94% Steppe
4.49% Amerindian
0.00% Southeast_Asian

Is the East Asian+Siberian a different flavor of Amerindian?

0.00% Oceanian
1.22% East_Asian
0.36% Siberian
4.49% Amerindian
0.00% Southeast_Asian
____________________
6.07% (95536 SNPs used)

Per the new MDLP K14 she has:

0.00% East-Asian
4.29% Amerindian
0.01% Papuan
0.05% Siberian
0.38% Altaic
____________
4.73% (69834 SNPs used)

23andme has her as 5%. Any ideas?

jeanL
05-01-2015, 12:58 AM
My maternal grand aunt(maternal grandfather younger sister) results:

10 ancestral populations
101647 total SNPs
5 flipped SNPs
28531 heterozygous SNPs
239 no-calls
16954 absent SNPs
0.830856 genotype rate
mode genomewide

17193 SNPs missing (no-call or absent)

6365 total iterations
9.997E-08 final dQ

----------------------------
FINAL ADMIXTURE PROPORTIONS:
----------------------------

43.40% Near_Eastern
1.31% East_Asian
0.44% Siberian
0.66% Oceanian
31.92% WHG-UHG
4.01% Sub-Saharan
3.31% Hindu_Kush
13.17% Steppe
1.78% Amerindian
0.01% Southeast_Asian


Again same question as before is this a manifestation of Amerindian Admixture:

1.31% East_Asian
0.44% Siberian
0.66% Oceanian
1.78% Amerindian
0.01% Southeast_Asian
_____________________
4.2% (84454 SNPs used)


Per the new MDLP K14 she has:

0.00% East-Asian
0.93% Amerindian
0.42% Papuan
0.00% Siberian
0.02% Altaic
________________
1.37 % (49627 SNPs used)

The differences are quite pronounced!

ADW_1981
05-01-2015, 01:20 AM
Tajiks arent that different from others in the region.

Not that different, but they have several points higher WHG than others in the region. The highest being 17.5% among a Shugni. I know there are several R1b-L23* tested at FTDNA.

Generalissimo
05-01-2015, 01:23 AM
Tests based on analyses of ancient admixture events should never be used to estimate recent admixtures. Keep in mind that the K10 was an experiment looking at very specific issues, and not designed as an ancestry test.

In hindsight it's probably not a good idea to release calculator files based on such experiments, because they obviously cause a lot of confusion.

Also, I wouldn't recommend focusing too much on calculator results, because they'll always be more noisy and less accurate than the original tests.

Kurd
05-01-2015, 01:47 AM
Tests based on analyses of ancient admixture events should never be used to estimate recent admixtures. Keep in mind that the K10 was an experiment looking at very specific issues, and not designed as an ancestry test.

In hindsight it's probably not a good idea to release calculator files based on such experiments, because they obviously cause a lot of confusion.

Also, I wouldn't recommend focusing too much on calculator results, because they'll always be more noisy and less accurate than the original tests.

What would you say were the main objectives of K6 - K10.

Also, if you had to guess, when do you think a calculator may be released that calculates exclusively based on allele frequencies of ancients from Asia to Europe.

randwulf
05-01-2015, 02:35 AM
But, it is all so much fun!

Me:

Near_Eastern 35.92
East_Asian 0.00
Siberian 1.38
Oceanian 0.03
WHG-UHG 36.79
Sub-Saharan 0.46
Hindu_Kush 4.44
Steppe 20.89
Amerindian 0.09
Southeast_Asian 0.00

Dad:

Near_Eastern 35.88
East_Asian 0.00
Siberian 2.05
Oceanian 0.51
WHG-UHG 35.76
Sub-Saharan 0.82
Hindu_Kush 2.17
Steppe 22.04
Amerindian 0.77
Southeast_Asian 0.00

Mom:

Near_Eastern 34.04
East_Asian 0.01
Siberian 0.05
Oceanian 0.08
WHG-UHG 37.53
Sub-Saharan 0.00
Hindu_Kush 4.01
Steppe 24.13
Amerindian 0.14
Southeast_Asian 0.01

Generalissimo
05-01-2015, 02:55 AM
What would you say were the main objectives of K6 - K10.

To estimate the impact of LN/EBA steppe migrations on Europe.


Also, if you had to guess, when do you think a calculator may be released that calculates exclusively based on allele frequencies of ancients from Asia to Europe.

In a year or two.

Dr_McNinja
05-01-2015, 03:02 AM
Near_Eastern in this calculator is working really well in S/SC Asians. Better than Caucasian in other components. It's not showing up a lot in South India like it otherwise might and is correlating well to geography. Your mixed ancestry is pretty clearly discernible here, Rasko. I put you on the opposite side of the Indus between HRP0282 and HRP0363, Pakistan area Pashtun and Baloch.

fil
05-01-2015, 03:13 AM
My Oceanian and South East Asian are so high

8.68% Near_Eastern
4.58% East_Asian
1.58% Siberian
7.17% Oceanian
4.16% WHG-UHG
0.83% Sub-Saharan
57.88% Hindu_Kush
3.04% Steppe
1.18% Amerindian
10.90% Southeast_Asian

Dr_McNinja
05-01-2015, 03:29 AM
My Oceanian and South East Asian are so high

8.68% Near_Eastern
4.58% East_Asian
1.58% Siberian
7.17% Oceanian
4.16% WHG-UHG
0.83% Sub-Saharan
57.88% Hindu_Kush
3.04% Steppe
1.18% Amerindian
10.90% Southeast_Asian

Oceanian is also high in ashwin (Gujarati/Maharashtra Brahmin) who had 6.59% (higher in you two than in the two South Indian Brahmins). You two also have high Hindu Kush (58.74% and 57.88%).

It might be peaking in Gujarat (GujaratiA had 65%) because that's also where South Asian ENF (non-Gedrosian ENF in South Asians in other calculators) peaks and Hindu Kush attracts both types of ANE/ENF that previously was being divided into S-Indian/Baloch like in Harappa for instance.

The ANE in HK is almost exactly equivalent to the combined ANE of Harappa S-Indian and Baloch components for South Asians. The ENF in HK combined with the Near_Eastern gives the combined ENF of Harappa S-Indian/Baloch but that's more tricky because of it being so close to Caucasian and is one of the reasons that component (S-Indian) fluctuated so much.

Edit: So the Oceanian here very clearly is not correlating to Southeast Asian (and hence, South Indian). It's high in the north and west too. Southeast Asian is getting a little "fudged" with East Asian though. And of course there's 11% ASE in Hindu Kush itself so it's possible high HK in west/southwest India is leaving more free Oceanian, but that still doesn't add up.

Oceanian:ASE ratios (includes ASE from Hindu Kush and Steppe)

HRP0350 Punjabi: 0.4923
Ashwin and Fil (West/Southwest Indian): 0.41-0.43
Me, my dad, and Duffy (Punjabi): 0.34-0.37
Kenji (Himachal Pradesh), Varun Rao (mixed South Indian Brahmin), my mom's cousin (Punjabi): 0.33
Soulblighter (South Indian Brahmin), my grandmother and Sapporo (Punjabi): 0.28
Haryana Jatt, Baloch, Nepal and Jammu Brahmins, Pashtun Pakistan, Pakistani Punjabis: 0.24-0.27
1/2 Pashtun, 1/2 Tajik: 0.20-0.236
Assyrian, Iranian: 0.19-0.20
Two Afghan Pashtun and two Turks: 0.13-0.18

Kurd
05-01-2015, 03:33 AM
My Oceanian and South East Asian are so high

8.68% Near_Eastern
4.58% East_Asian
1.58% Siberian
7.17% Oceanian
4.16% WHG-UHG
0.83% Sub-Saharan
57.88% Hindu_Kush
3.04% Steppe
1.18% Amerindian
10.90% Southeast_Asian

I remember that you have very high S Asian admixture. Parts of it are assigned SE Asian, Oceanian, and E Asian. The same happened with me, but to a lesser extent since my S Asian admixture is lower than yours

As generalissimo explained this calculator is not meant to estimate recent admixtures

Helgenes50
05-01-2015, 03:36 AM
David,

Do you think my 1.6% Siberian is also a calculator effect? I have 3 chromosomes that get over 7% Asian, including Siberian, SE Asian, etc. It is interesting to consider the fact that possibly thousands of Alans and Sarmatians may have left descendants in Western Europe. If these outlier Siberians are concentrated in certain locations, there could be some truth to it.

I agree, Alans and Sarmatians are present in NW France and are mentioned in Normandy. They were there to maintain order.

In Rouen there was a slave market, like in Verdun and a lot of them came from Eastern Europe.

anglesqueville
05-01-2015, 08:30 AM
Thanks generalissimo. I was anyway aware that K10 could be very noisy. However the problem is: when and how can we decide that one result is a computing effect, and another is not? I've just made the K10 of my wife ( 1/2 central french 1/2 german-like sarre-elsass ), and she gets usual scores for siberian and amerindian:
39.65% Near_Eastern
0.03% East_Asian
0.02% Siberian
0.00% Oceanian
36.19% WHG-UHG
0.16% Sub-Saharan
2.91% Hindu_Kush
20.41% Steppe
0.00% Amerindian
0.63% Southeast_Asian

Helgenes50
05-01-2015, 08:46 AM
Thanks generalissimo. I was anyway aware that K10 could be very noisy. However the problem is: when and how can we decide that one result is a computing effect, and another is not? I've just made the K10 of my wife ( 1/2 central french 1/2 german-like sarre-elsass ), and she gets usual scores for siberian and amerindian:
39.65% Near_Eastern
0.03% East_Asian
0.02% Siberian
0.00% Oceanian
36.19% WHG-UHG
0.16% Sub-Saharan
2.91% Hindu_Kush
20.41% Steppe
0.00% Amerindian
0.63% Southeast_Asian

This may be noise when a component is only present with a calculator, but when this one is present every time, even with a different name, difficult to speak of noise in this case.
Finnish and Siberian are often related

tamilgangster
05-01-2015, 08:51 AM
Hindu kush component appears to be gedrosian related mostly but also includes the pregedrosian west eurasian. All non west eurasian components are split between SE asian, Ocenian and East Eurasian. Can someone run the piramalai kallar samples on this

Dr_McNinja
05-01-2015, 03:38 PM
This may be noise when a component is only present with a calculator, but when this one is present every time, even with a different name, difficult to speak of noise in this case.
Finnish and Siberian are often relatedSiberian is something like 25% ANE, 75% East Eurasian so any significant amount of it in Europeans is almost certainly that kind of Uralic-type signal, possibly via the Steppe/Central Asia if not recent Northeastern European ancestry. That said, it's also related to Amerindian and Europeans will typically get a percent or two of that (Amerindian is usually 37-40% ANE and the rest East Eurasian). 1% Siberian could just be a "deteriorated" Amerindian type signal.

Tolan
05-01-2015, 04:48 PM
Thanks to Dr_McNinja for the links!

Here's mine:
36.26% Near_Eastern
0.01% East_Asian
0.00% Siberian
0.20% Oceanian
37.50% WHG-UHG
0.00% Sub-Saharan
3.47% Hindu_Kush
22.07% Steppe
0.36% Amerindian
0.12% Southeast_Asian

Least-squares method.

Using 1 population approximation:
1 French @ 2,782465
2 HungaryGamba_BA @ 6,070853
3 English @ 6,579027
4 Utah_USA @ 6,724515
5 Hungarian @ 6,885119
6 Croatian @ 7,763799
7 Utah_German @ 7,86299
8 Serbian_Bosnia @ 7,878859
9 Bosnian @ 8,242856
10 Utah_British @ 8,420596
11 Serbian @ 9,166326
12 Scottish @ 9,897862
13 Czech @ 9,906882
14 Orcadian @ 10,164333
15 Montenegrin @ 10,552424
16 Romanian @ 12,186204
17 Norwegian @ 12,288253
18 Macedonian @ 12,476939
19 Icelandic @ 12,591608
20 Utah_Scandinavian @ 12,711365
180 iterations.

Using 2 populations approximation:
1 Bergamo+Halberstadt_LBA @ 1,975233
2 Spanish+Ukrainian_Poltava @ 1,989896
3 Spanish+Ukrainian_Lviv @ 2,008234
4 Bergamo+Icelandic @ 2,109397
5 Bergamo+Utah_Scandinavian @ 2,247067
6 Spanish+Ukrainian_Belgorod @ 2,251358
7 Spanish+Ukrainian_Kharkov @ 2,298145
8 French+Hungarian @ 2,379961
9 Bergamo+Norwegian @ 2,471536
10 Czech+Spanish @ 2,617538
11 Polish+Spanish @ 2,672335
12 Alberstedt_LN+Spanish @ 2,766803
13 French+French @ 2,782465
14 Alberstedt_LN+Bergamo @ 2,856942
15 Croatian+French @ 2,918489
16 French+Serbian_Bosnia @ 2,921186
17 Belarusian+Spanish @ 2,949115
18 Bell_Beaker_LN+Bergamo @ 3,020981
19 Bosnian+French @ 3,088803
20 HungaryGamba_BA+Serbian @ 3,202124
16290 iterations.

Using 3 populations approximation:
1 50% Alberstedt_LN +25% Bell_Beaker_LN +25% LBK_EN @ 0,506382
2 50% HungaryGamba_BA +25% Bell_Beaker_LN +25% Greek @ 0,516794
3 50% Alberstedt_LN +25% Bell_Beaker_LN +25% Stuttgart @ 0,625752
4 50% HungaryGamba_BA +25% Halberstadt_LBA +25% West_Sicilian @ 0,703772
5 50% Alberstedt_LN +25% Bulgarian +25% Spain_MN @ 0,836291
6 50% Alberstedt_LN +25% HungaryGamba_EN +25% Scottish @ 0,864018
7 50% Alberstedt_LN +25% Macedonian +25% Spain_MN @ 0,878788
8 50% Alberstedt_LN +25% HungaryGamba_EN +25% Orcadian @ 0,887982
9 50% Bosnian +25% English +25% Spanish_North @ 0,923782
10 50% Alberstedt_LN +25% Norwegian +25% Stuttgart @ 0,934567
11 50% Serbian +25% Alberstedt_LN +25% Basque @ 0,93754
12 50% Serbian +25% Halberstadt_LBA +25% Spanish_North @ 0,942318
13 50% English +25% English +25% Tuscan @ 0,943101
14 50% Alberstedt_LN +25% HungaryGamba_EN +25% Norwegian @ 0,998591
15 50% Bosnian +25% Spanish_North +25% Utah_USA @ 1,001455
16 50% Scottish +25% HungaryGamba_BA +25% Tuscan @ 1,004367
17 50% Alberstedt_LN +25% Icelandic +25% Stuttgart @ 1,006054
18 50% Alberstedt_LN +25% Bosnian +25% Esperstedt_MN @ 1,012683
19 50% Halberstadt_LBA +25% Alberstedt_LN +25% LBK_EN @ 1,021598
20 50% French +25% English +25% Serbian @ 1,025882
1081729 iterations.

Using 4 populations approximation:
1 Alberstedt_LN+Alberstedt_LN+Bell_Beaker_LN+LBK_EN @ 0,506382
2 Bell_Beaker_LN+Greek+HungaryGamba_BA+HungaryGamba_ BA @ 0,516794
3 Alberstedt_LN+Alberstedt_LN+Bell_Beaker_LN+Stuttga rt @ 0,625752
4 English+HungaryGamba_BA+Orcadian+Tuscan @ 0,640276
5 English+HungaryGamba_BA+Scottish+Tuscan @ 0,660212
6 BenzigerodeHeimburg_LN+Icelandic+Kosovar+Spain_MN @ 0,685029
7 Halberstadt_LBA+HungaryGamba_BA+HungaryGamba_BA+We st_Sicilian @ 0,703772
8 HungaryGamba_BA+Orcadian+Tuscan+Utah_USA @ 0,727202
9 Alberstedt_LN+Bergamo+French+HungaryGamba_BA @ 0,727792
10 HungaryGamba_BA+Scottish+Tuscan+Utah_USA @ 0,727891
11 Alberstedt_LN+Halberstadt_LBA+Icelandic+LBK_EN @ 0,749586
12 Bell_Beaker_LN+BenzigerodeHeimburg_LN+English+Stut tgart @ 0,758061
13 Alberstedt_LN+Bosnian+Esperstedt_MN+Halberstadt_LB A @ 0,773416
14 BenzigerodeHeimburg_LN+English+Macedonian+Spain_MN @ 0,779779
15 Alberstedt_LN+Bosnian+Halberstadt_LBA+Sardinian @ 0,783294
16 Alberstedt_LN+Basque+Macedonian+Serbian_Bosnia @ 0,808935
17 Alberstedt_LN+Halberstadt_LBA+LBK_EN+Norwegian @ 0,813339
18 Alberstedt_LN+Basque+Croatian+Macedonian @ 0,814045
19 English+Greek+Lithuanian+Spanish_North @ 0,818259
20 BenzigerodeHeimburg_LN+Kosovar+Norwegian+Spain_MN @ 0,834867
21 Croatian+Halberstadt_LBA+Macedonian+Spanish_North @ 0,835002
22 Alberstedt_LN+Alberstedt_LN+Bulgarian+Spain_MN @ 0,836291
23 BenzigerodeHeimburg_LN+Bulgarian+English+Spain_MN @ 0,836756
24 Albanian+Bell_Beaker_LN+French+HungaryGamba_BA @ 0,84187
25 French+Halberstadt_LBA+HungaryGamba_BA+Tuscan @ 0,842698
26 Greek+Icelandic+Polish+Spanish_North @ 0,845033
27 Halberstadt_LBA+Macedonian+Serbian_Bosnia+Spanish_ North @ 0,8526
28 Bell_Beaker_LN+Bergamo+Croatian+HungaryGamba_BA @ 0,853777
29 HungaryGamba_BA+Scottish+Tuscan+Utah_British @ 0,859141
30 Bell_Beaker_LN+Bergamo+HungaryGamba_BA+Serbian_Bos nia @ 0,859729
31 HungaryGamba_BA+Scottish+Tuscan+Utah_German @ 0,86044
32 Alberstedt_LN+Alberstedt_LN+HungaryGamba_EN+Scotti sh @ 0,864018
33 Alberstedt_LN+Halberstadt_LBA+Icelandic+Stuttgart @ 0,867747
34 English+French_South+Greek+Lithuanian @ 0,869714
35 English+HungaryGamba_BA+Norwegian+Tuscan @ 0,870606
36 Alberstedt_LN+Alberstedt_LN+Macedonian+Spain_MN @ 0,878788
37 Bell_Beaker_LN+Halberstadt_LBA+LBK_EN+Ukrainian_Be lgorod @ 0,878809
38 Alberstedt_LN+Kosovar+Spanish_North+Utah_German @ 0,881788
39 Alberstedt_LN+Spanish_North+Tuscan+Ukrainian_Polta va @ 0,882626
40 French+HungaryGamba_BA+Icelandic+Kosovar @ 0,886251
3006050 iterations.


Gaussian method.
Noise dispersion set to 0,520249

Using 1 population approximation:
1 English @ 3,50467
2 French @ 3,654068
3 Utah_USA @ 4,209667
4 Orcadian @ 4,249881
5 Scottish @ 4,325423
6 Utah_German @ 4,4501
7 Utah_British @ 4,51618
8 Serbian_Bosnia @ 4,586526
9 Hungarian @ 4,684632
10 Icelandic @ 4,688977
11 Bosnian @ 4,712786
12 Czech @ 4,778753
13 Montenegrin @ 4,836189
14 Croatian @ 4,895225
15 Serbian @ 4,913889
16 Norwegian @ 5,005256
17 Macedonian @ 5,18809
18 Alberstedt_LN @ 5,431451
19 Utah_Scandinavian @ 5,455002
20 Bell_Beaker_LN @ 5,74135
180 iterations.

Using 2 populations approximation:
1 English+HungaryGamba_BA @ 3,125226
2 French+HungaryGamba_BA @ 3,143656
3 BenzigerodeHeimburg_LN+Spain_MN @ 3,190621
4 BenzigerodeHeimburg_LN+Esperstedt_MN @ 3,199371
5 Alberstedt_LN+Spanish_North @ 3,20604
6 HungaryGamba_BA+Macedonian @ 3,211641
7 HungaryGamba_BA+Orcadian @ 3,221194
8 Bergamo+HungaryGamba_BA @ 3,273415
9 HungaryGamba_BA+Kosovar @ 3,287258
10 HungaryGamba_BA+Scottish @ 3,288841
11 Alberstedt_LN+Bergamo @ 3,33634
12 Bergamo+Icelandic @ 3,374696
13 English+French @ 3,422142
14 Bergamo+Halberstadt_LBA @ 3,436028
15 Alberstedt_LN+Spain_MN @ 3,462321
16 English+English @ 3,50467
17 Bosnian+HungaryGamba_BA @ 3,522047
18 Alberstedt_LN+HungaryGamba_BA @ 3,534528
19 Bergamo+Orcadian @ 3,549727
20 HungaryGamba_BA+Montenegrin @ 3,558963
16290 iterations.

Using 3 populations approximation:
1 50% Alberstedt_LN +25% Esperstedt_MN +25% HungaryGamba_BA @ 2,275858
2 50% Alberstedt_LN +25% HungaryGamba_BA +25% Stuttgart @ 2,476056
3 50% Alberstedt_LN +25% HungaryGamba_BA +25% LBK_EN @ 2,482992
4 50% HungaryGamba_BA +25% Alberstedt_LN +25% Bergamo @ 2,524088
5 50% Alberstedt_LN +25% Alberstedt_LN +25% Stuttgart @ 2,537149
6 50% Alberstedt_LN +25% Alberstedt_LN +25% LBK_EN @ 2,540498
7 50% Alberstedt_LN +25% Alberstedt_LN +25% Esperstedt_MN @ 2,5541
8 50% Alberstedt_LN +25% HungaryGamba_BA +25% Spain_MN @ 2,56129
9 50% Alberstedt_LN +25% English +25% Esperstedt_MN @ 2,561501
10 50% Halberstadt_LBA +25% Esperstedt_MN +25% HungaryGamba_BA @ 2,582338
11 50% Halberstadt_LBA +25% HungaryGamba_BA +25% LBK_EN @ 2,58271
12 50% Alberstedt_LN +25% HungaryGamba_BA +25% Spain_EN @ 2,594836
13 50% Halberstadt_LBA +25% HungaryGamba_BA +25% Stuttgart @ 2,597204
14 50% HungaryGamba_BA +25% Bergamo +25% Halberstadt_LBA @ 2,59793
15 50% Alberstedt_LN +25% English +25% Stuttgart @ 2,667462
16 50% Alberstedt_LN +25% Icelandic +25% LBK_EN @ 2,674018
17 50% Alberstedt_LN +25% English +25% LBK_EN @ 2,674783
18 50% Alberstedt_LN +25% Icelandic +25% Stuttgart @ 2,675027
19 50% HungaryGamba_BA +25% Halberstadt_LBA +25% Kosovar @ 2,676448
20 50% HungaryGamba_BA +25% English +25% Kosovar @ 2,678032
1865994 iterations.

Using 4 populations approximation:
1 Alberstedt_LN+Alberstedt_LN+Esperstedt_MN+HungaryG amba_BA @ 2,275858
2 Alberstedt_LN+Alberstedt_LN+HungaryGamba_BA+Stuttg art @ 2,476056
3 Alberstedt_LN+Alberstedt_LN+HungaryGamba_BA+LBK_EN @ 2,482992
4 Alberstedt_LN+Esperstedt_MN+Halberstadt_LBA+Hungar yGamba_BA @ 2,484921
5 Alberstedt_LN+Bergamo+HungaryGamba_BA+HungaryGamba _BA @ 2,524088
6 Alberstedt_LN+Alberstedt_LN+Alberstedt_LN+Stuttgar t @ 2,537149
7 Alberstedt_LN+Alberstedt_LN+Alberstedt_LN+LBK_EN @ 2,540498
8 Alberstedt_LN+Alberstedt_LN+Alberstedt_LN+Esperste dt_MN @ 2,5541
9 Alberstedt_LN+Alberstedt_LN+HungaryGamba_BA+Spain_ MN @ 2,56129
10 Alberstedt_LN+Alberstedt_LN+English+Esperstedt_MN @ 2,561501
11 Alberstedt_LN+Halberstadt_LBA+HungaryGamba_BA+LBK_ EN @ 2,579586
12 Esperstedt_MN+Halberstadt_LBA+Halberstadt_LBA+Hung aryGamba_BA @ 2,582338
13 Halberstadt_LBA+Halberstadt_LBA+HungaryGamba_BA+LB K_EN @ 2,58271
14 Alberstedt_LN+Halberstadt_LBA+HungaryGamba_BA+Stut tgart @ 2,583518
15 Alberstedt_LN+Alberstedt_LN+HungaryGamba_BA+Spain_ EN @ 2,594836
16 Halberstadt_LBA+Halberstadt_LBA+HungaryGamba_BA+St uttgart @ 2,597204
17 Bergamo+Halberstadt_LBA+HungaryGamba_BA+HungaryGam ba_BA @ 2,59793
18 Alberstedt_LN+Alberstedt_LN+English+Stuttgart @ 2,667462
19 Alberstedt_LN+Esperstedt_MN+HungaryGamba_BA+Orcadi an @ 2,670014
20 Alberstedt_LN+Alberstedt_LN+Icelandic+LBK_EN @ 2,674018
21 Alberstedt_LN+Alberstedt_LN+English+LBK_EN @ 2,674783
22 Alberstedt_LN+Alberstedt_LN+Icelandic+Stuttgart @ 2,675027
23 Halberstadt_LBA+HungaryGamba_BA+HungaryGamba_BA+Ko sovar @ 2,676448
24 English+HungaryGamba_BA+HungaryGamba_BA+Kosovar @ 2,678032
25 Halberstadt_LBA+Halberstadt_LBA+HungaryGamba_BA+Hu ngaryGamba_EN @ 2,678572
26 Bergamo+HungaryGamba_BA+HungaryGamba_BA+Orcadian @ 2,681418
27 Alberstedt_LN+Alberstedt_LN+Esperstedt_MN+Icelandi c @ 2,684752
28 Alberstedt_LN+HungaryGamba_BA+HungaryGamba_BA+Koso var @ 2,68526
29 Alberstedt_LN+Alberstedt_LN+HungaryGamba_BA+Hungar yGamba_EN @ 2,692855
30 Alberstedt_LN+Alberstedt_LN+Halberstadt_LBA+LBK_EN @ 2,693679
31 HungaryGamba_BA+HungaryGamba_BA+Kosovar+Orcadian @ 2,69675
32 Alberstedt_LN+Alberstedt_LN+Halberstadt_LBA+Stuttg art @ 2,700131
33 Alberstedt_LN+Alberstedt_LN+Esperstedt_MN+Orcadian @ 2,702886
34 Alberstedt_LN+Esperstedt_MN+HungaryGamba_BA+Icelan dic @ 2,70399
35 Bergamo+English+HungaryGamba_BA+HungaryGamba_BA @ 2,707495
36 Alberstedt_LN+Halberstadt_LBA+HungaryGamba_BA+Hung aryGamba_EN @ 2,708119
37 HungaryGamba_BA+HungaryGamba_BA+Icelandic+Kosovar @ 2,722149
38 Bergamo+HungaryGamba_BA+HungaryGamba_BA+Icelandic @ 2,726562
39 Alberstedt_LN+Esperstedt_MN+HungaryGamba_BA+Scotti sh @ 2,727845
40 HungaryGamba_BA+HungaryGamba_BA+Kosovar+Scottish @ 2,729223
14147947 iterations.

Helgenes50
05-01-2015, 05:52 PM
Mine ( Thanks to Pat. for this result)

My steppe, as Norman, is closer to the English average than the Fench one.
And very close to my briton neighbour


36.69% Near_Eastern
0.00% East_Asian
0.00% Siberian
0.00% Oceanian
37.71% WHG-UHG
0.60% Sub-Saharan
0.93% Hindu_Kush
23.14% Steppe
0.93% Amerindian
0.00% Southeast_Asian

Helgenes50
05-01-2015, 06:16 PM
Siberian is something like 25% ANE, 75% East Eurasian so any significant amount of it in Europeans is almost certainly that kind of Uralic-type signal, possibly via the Steppe/Central Asia if not recent Northeastern European ancestry. That said, it's also related to Amerindian and Europeans will typically get a percent or two of that (Amerindian is usually 37-40% ANE and the rest East Eurasian). 1% Siberian could just be a "deteriorated" Amerindian type signal.

Dc_ McNinja,

For the steppe component, do you know the averages ( roughly)of each population, Hg, ANE...

John Doe
05-01-2015, 06:31 PM
Here are my results:

Admixture:


54.25% Near_Eastern
0.74% East_Asian
0.35% Siberian
0.00% Oceanian
17.49% WHG-UHG
1.76% Sub-Saharan
11.06% Hindu_Kush
14.22% Steppe
0.01% Amerindian
0.12% Southeast_Asian


Least-squares method:

Using 1 population approximation:
1 Ashkenazi_Jew @ 1.549053
2 Sicilian @ 2.631788
3 East_Sicilian @ 3.166738
4 Maltese @ 3.461246
5 West_Sicilian @ 4.042132
6 South_Italian @ 4.078081
7 Greek @ 7.277542
8 Turkish_Jew @ 7.742904
9 Sephardic_Jewish @ 8.41011
10 Tuscan @ 10.251465
11 Moroccan_Jewish @ 10.313087
12 Moroccan_Jew @ 10.871717
13 Albanian @ 11.682357
14 Kosovar @ 13.276208
15 Libyan_Jew @ 13.99169
16 Cyprian @ 14.848093
17 Bergamo @ 15.229951
18 Cypriot @ 15.585721
19 Turkish @ 17.348904
20 Lebanese_Muslim @ 18.663813
180 iterations.

Using 2 populations approximation:
1 Ashkenazi_Jew+Ashkenazi_Jew @ 1.549053
2 Ashkenazi_Jew+Sicilian @ 1.673607
3 Greek+Sephardic_Jewish @ 2.041698
4 Ashkenazi_Jew+West_Sicilian @ 2.056676
5 Ashkenazi_Jew+East_Sicilian @ 2.088352
6 Greek+Turkish_Jew @ 2.093659
7 Ashkenazi_Jew+Maltese @ 2.170271
8 South_Italian+West_Sicilian @ 2.34821
9 Bergamo+Cyprian @ 2.4441
10 Ashkenazi_Jew+South_Italian @ 2.486854
11 Albanian+Sephardic_Jewish @ 2.515201
12 Bergamo+Cypriot @ 2.529392
13 Sicilian+Sicilian @ 2.631788
14 East_Sicilian+Sicilian @ 2.641676
15 Croatian+Samaritan @ 2.650791
16 East_Sicilian+West_Sicilian @ 2.657786
17 Kosovar+Libyan_Jew @ 2.668028
18 Sicilian+South_Italian @ 2.679737
19 Samaritan+Serbian_Bosnia @ 2.723226
20 Adygei+Spain_EN @ 2.752998
16290 iterations.

Using 3 populations approximation:
1 50% West_Sicilian +25% Druze +25% Kosovar @ 1.059939
2 50% Sicilian +25% Bosnian +25% Samaritan @ 1.060798
3 50% Cyprian +25% French +25% Maltese @ 1.080417
4 50% West_Sicilian +25% Lebanese_Muslim +25% Tuscan @ 1.10433
5 50% Samaritan +25% French +25% Serbian_Bosnia @ 1.144798
6 50% Samaritan +25% Croatian +25% French @ 1.156277
7 50% Tuscan +25% Ashkenazi_Jew +25% Lebanese_Muslim @ 1.168324
8 50% East_Sicilian +25% Hungarian +25% Samaritan @ 1.170459
9 50% Sicilian +25% Chechen +25% Stuttgart @ 1.182229
10 50% Cyprian +25% Moroccan_Jewish +25% Utah_British @ 1.18495
11 50% Sephardic_Jewish +25% Serbian +25% Turkish_Jew @ 1.197431
12 50% Turkish_Jew +25% Sephardic_Jewish +25% Serbian @ 1.205754
13 50% Maltese +25% Cypriot +25% Macedonian @ 1.210102
14 50% Sicilian +25% Samaritan +25% Serbian_Bosnia @ 1.216769
15 50% Cyprian +25% English +25% Moroccan_Jewish @ 1.21804
16 50% Sicilian +25% Chechen +25% HungaryGamba_EN @ 1.223371
17 50% West_Sicilian +25% Albanian +25% Druze @ 1.226498
18 50% Sephardic_Jewish +25% Romanian +25% South_Italian @ 1.227023
19 50% Sephardic_Jewish +25% Ashkenazi_Jew +25% Macedonian @ 1.228112
20 50% Sephardic_Jewish +25% Macedonian +25% South_Italian @ 1.239338
1556084 iterations.

Using 4 populations approximation:
1 Abkhasian+HungaryGamba_BA+LBK_EN+Palestinian @ 0.877998
2 Abkhasian+Libyan_Jew+Macedonian+Spain_EN @ 0.949213
3 Abkhasian+HungaryGamba_BA+Palestinian+Stuttgart @ 0.958979
4 Georgian+HungaryGamba_BA+HungaryGamba_EN+Palestini an @ 0.971134
5 Hungarian+Samaritan+Turkish_Jew+West_Sicilian @ 0.976816
6 Hungarian+Samaritan+Sephardic_Jewish+West_Sicilian @ 0.991211
7 Czech+Samaritan+Sephardic_Jewish+Sicilian @ 0.993699
8 Abkhasian+Bulgarian+Libyan_Jew+Spain_EN @ 0.996928
9 Bergamo+Greek+Lebanese_Muslim+South_Italian @ 1.008178
10 Georgian+HungaryGamba_BA+Palestinian+Stuttgart @ 1.012452
11 Georgian+HungaryGamba_BA+Jordanian+LBK_EN @ 1.013014
12 Bosnian+Maltese+Samaritan+Sicilian @ 1.016969
13 Hungarian+Maltese+Samaritan+South_Italian @ 1.030453
14 Georgian+HungaryGamba_BA+LBK_EN+Palestinian @ 1.035354
15 Abkhasian+Libyan_Jew+Romanian+Spain_EN @ 1.035449
16 Czech+Samaritan+Sicilian+Turkish_Jew @ 1.041
17 Greek+Lebanese_Muslim+Sicilian+Tuscan @ 1.041518
18 Czech+Maltese+Samaritan+Turkish_Jew @ 1.047894
19 Albanian+Bergamo+Lebanese_Muslim+Turkish_Jew @ 1.051692
20 Druze+Kosovar+West_Sicilian+West_Sicilian @ 1.059939
21 Bosnian+Samaritan+Sicilian+Sicilian @ 1.060798
22 Druze+Macedonian+Sephardic_Jewish+Tuscan @ 1.061835
23 Ashkenazi_Jew+Samaritan+Turkish_Jew+Utah_German @ 1.072123
24 Chechen+Maltese+Stuttgart+West_Sicilian @ 1.072939
25 Czech+East_Sicilian+Samaritan+Turkish_Jew @ 1.07461
26 Czech+Maltese+Samaritan+Sephardic_Jewish @ 1.079351
27 Bosnian+Maltese+Samaritan+West_Sicilian @ 1.079516
28 Bulgarian+Georgian+Libyan_Jew+Sardinian @ 1.07996
29 Cyprian+Cyprian+French+Maltese @ 1.080417
30 Georgian+HungaryGamba_BA+Jordanian+Stuttgart @ 1.081134
31 Cypriot+Hungarian+Libyan_Jew+South_Italian @ 1.094226
32 Hungarian+Samaritan+Sicilian+South_Italian @ 1.098013
33 Albanian+Lebanese_Muslim+South_Italian+Tuscan @ 1.100049
34 Ashkenazi_Jew+Czech+Moroccan_Jewish+Samaritan @ 1.101634
35 Bergamo+Greek+Lebanese+South_Italian @ 1.101852
36 Lebanese_Muslim+Tuscan+West_Sicilian+West_Sicilian @ 1.10433
37 Albanian+Bergamo+Lebanese_Muslim+Sephardic_Jewish @ 1.111126
38 Greek+Lebanese+Sicilian+Tuscan @ 1.111809
39 Druze+Macedonian+Turkish_Jew+Tuscan @ 1.113084
40 Maltese+Samaritan+Serbian_Bosnia+Sicilian @ 1.117571



Gaussian method:

Using 1 population approximation:
1 West_Sicilian @ 3.653505
2 Sicilian @ 3.934015
3 South_Italian @ 3.946213
4 East_Sicilian @ 4.423655
5 Ashkenazi_Jew @ 4.634274
6 Maltese @ 4.690357
7 Turkish_Jew @ 5.128103
8 Sephardic_Jewish @ 5.328622
9 Greek @ 5.697782
10 Tuscan @ 5.735722
11 Moroccan_Jewish @ 6.493693
12 Moroccan_Jew @ 6.634014
13 Albanian @ 6.939958
14 Bergamo @ 7.583062
15 Kosovar @ 7.680967
16 Libyan_Jew @ 7.79716
17 Cyprian @ 8.17908
18 Cypriot @ 8.323113
19 Bulgarian @ 9.032847
20 Macedonian @ 9.033977
180 iterations.

Using 2 populations approximation:
1 HungaryGamba_BA+Samaritan @ 3.020192
2 French+Samaritan @ 3.336208
3 English+Samaritan @ 3.528868
4 Samaritan+Utah_German @ 3.594535
5 South_Italian+West_Sicilian @ 3.60009
6 West_Sicilian+West_Sicilian @ 3.653505
7 Samaritan+Utah_USA @ 3.660298
8 Samaritan+Utah_British @ 3.736367
9 Samaritan+Serbian_Bosnia @ 3.779022
10 Sicilian+West_Sicilian @ 3.782997
11 Bergamo+Cypriot @ 3.803145
12 Cypriot+Tuscan @ 3.821413
13 Sicilian+South_Italian @ 3.872661
14 Macedonian+Samaritan @ 3.87439
15 Croatian+Samaritan @ 3.876574
16 Turkish_Jew+West_Sicilian @ 3.881024
17 Cyprian+Tuscan @ 3.884403
18 Orcadian+Samaritan @ 3.89329
19 Bergamo+Cyprian @ 3.912172
20 Sicilian+Sicilian @ 3.934015
16290 iterations.

Using 3 populations approximation:
1 50% West_Sicilian +25% Esperstedt_MN +25% Georgian @ 2.813587
2 50% West_Sicilian +25% Georgian +25% Stuttgart @ 2.921968
3 50% Samaritan +25% Alberstedt_LN +25% Bergamo @ 2.927558
4 50% West_Sicilian +25% Georgian +25% LBK_EN @ 2.933344
5 50% Samaritan +25% HungaryGamba_BA +25% Macedonian @ 2.951904
6 50% Samaritan +25% BenzigerodeHeimburg_LN +25% Esperstedt_MN @ 3.012638
7 50% HungaryGamba_BA +25% Samaritan +25% Samaritan @ 3.020192
8 50% Sicilian +25% Esperstedt_MN +25% Georgian @ 3.021612
9 50% Samaritan +25% Alberstedt_LN +25% Tuscan @ 3.04498
10 50% West_Sicilian +25% Georgian +25% Spain_EN @ 3.055657
11 50% West_Sicilian +25% Georgian +25% Sardinian @ 3.061753
12 50% Samaritan +25% French +25% HungaryGamba_BA @ 3.08753
13 50% West_Sicilian +25% Georgian +25% HungaryGamba_EN @ 3.104261
14 50% Samaritan +25% Bergamo +25% HungaryGamba_BA @ 3.158875
15 50% Samaritan +25% Alberstedt_LN +25% HungaryGamba_BA @ 3.16473
16 50% West_Sicilian +25% Abkhasian +25% Esperstedt_MN @ 3.181851
17 50% Samaritan +25% Alberstedt_LN +25% Esperstedt_MN @ 3.192312
18 50% West_Sicilian +25% Georgian +25% Spain_MN @ 3.212289
19 50% West_Sicilian +25% Abkhasian +25% Stuttgart @ 3.215006
20 50% Samaritan +25% Alberstedt_LN +25% West_Sicilian @ 3.218162
2170680 iterations.

Using 4 populations approximation:
1 Esperstedt_MN+Georgian+HungaryGamba_BA+Samaritan @ 2.757746
2 Esperstedt_MN+Georgian+West_Sicilian+West_Sicilian @ 2.813587
3 Alberstedt_LN+Georgian+Samaritan+Stuttgart @ 2.824489
4 Alberstedt_LN+Georgian+LBK_EN+Samaritan @ 2.834406
5 Georgian+HungaryGamba_BA+Samaritan+Stuttgart @ 2.845342
6 Georgian+HungaryGamba_BA+LBK_EN+Lebanese_Muslim @ 2.848404
7 Georgian+HungaryGamba_BA+LBK_EN+Samaritan @ 2.851172
8 Georgian+HungaryGamba_BA+Lebanese_Muslim+Stuttgart @ 2.868607
9 Druze+Georgian+HungaryGamba_BA+LBK_EN @ 2.891171
10 Georgian+HungaryGamba_BA+LBK_EN+Libyan_Jew @ 2.901357
11 Druze+Georgian+HungaryGamba_BA+Stuttgart @ 2.903455
12 Esperstedt_MN+Georgian+Sicilian+West_Sicilian @ 2.909408
13 Georgian+Stuttgart+West_Sicilian+West_Sicilian @ 2.921968
14 Alberstedt_LN+Bergamo+Samaritan+Samaritan @ 2.927558
15 Alberstedt_LN+Esperstedt_MN+Georgian+Samaritan @ 2.932504
16 Georgian+LBK_EN+West_Sicilian+West_Sicilian @ 2.933344
17 Georgian+HungaryGamba_BA+Libyan_Jew+Stuttgart @ 2.942743
18 Alberstedt_LN+Armenian+Esperstedt_MN+Samaritan @ 2.942841
19 HungaryGamba_BA+Macedonian+Samaritan+Samaritan @ 2.951904
20 Georgian+HungaryGamba_BA+Samaritan+Sardinian @ 2.952961
21 Alberstedt_LN+Armenian+Samaritan+Stuttgart @ 2.965403
22 Alberstedt_LN+Armenian+LBK_EN+Samaritan @ 2.97258
23 Alberstedt_LN+Armenian+LBK_EN+Libyan_Jew @ 2.975891
24 Esperstedt_MN+Georgian+Samaritan+Utah_German @ 2.977857
25 Alberstedt_LN+Georgian+LBK_EN+Libyan_Jew @ 2.998146
26 Georgian+HungaryGamba_BA+Samaritan+Spain_EN @ 2.998188
27 Georgian+HungaryGamba_BA+LBK_EN+Moroccan_Jewish @ 3.006167
28 BenzigerodeHeimburg_LN+Esperstedt_MN+Samaritan+Sam aritan @ 3.012638
29 Alberstedt_LN+Armenian+Libyan_Jew+Stuttgart @ 3.016235
30 HungaryGamba_BA+HungaryGamba_BA+Samaritan+Samarita n @ 3.020192
31 Esperstedt_MN+Georgian+Sicilian+Sicilian @ 3.021612
32 Georgian+HungaryGamba_BA+HungaryGamba_EN+Samaritan @ 3.02747
33 Georgian+Samaritan+Stuttgart+Utah_German @ 3.035283
34 Alberstedt_LN+Georgian+Libyan_Jew+Stuttgart @ 3.036834
35 Esperstedt_MN+Georgian+South_Italian+West_Sicilian @ 3.039557
36 Alberstedt_LN+Samaritan+Samaritan+Tuscan @ 3.04498
37 Georgian+LBK_EN+Samaritan+Utah_German @ 3.049786
38 Georgian+Spain_EN+West_Sicilian+West_Sicilian @ 3.055657
39 Georgian+HungaryGamba_BA+Moroccan_Jewish+Stuttgart @ 3.05723
40 Esperstedt_MN+Georgian+Turkish_Jew+West_Sicilian @ 3.060468

Dr_McNinja
05-01-2015, 07:01 PM
Dc_ McNinja,

For the steppe component, do you know the averages ( roughly)of each population, Hg, ANE...

Yup, David posted it on his blog:


Hindu Kush

ANE 40.1
South_Eurasian 11.28
ENF 45.95
East_Eurasian 0
WHG 0
Oceanian 0
Pygmy 0.86
Sub-Saharan 1.8

Steppe

ANE 44.36
South_Eurasian 2.07
ENF 23.72
East_Eurasian 0
WHG 29.85
Oceanian 0
Pygmy 0
Sub-Saharan 0

Dr_McNinja
05-01-2015, 08:25 PM
Oceanian is also high in ashwin (Gujarati/Maharashtra Brahmin) who had 6.59% (higher in you two than in the two South Indian Brahmins). You two also have high Hindu Kush (58.74% and 57.88%).

It might be peaking in Gujarat (GujaratiA had 65%) because that's also where South Asian ENF (non-Gedrosian ENF in South Asians in other calculators) peaks and Hindu Kush attracts both types of ANE/ENF that previously was being divided into S-Indian/Baloch like in Harappa for instance.

The ANE in HK is almost exactly equivalent to the combined ANE of Harappa S-Indian and Baloch components for South Asians. The ENF in HK combined with the Near_Eastern gives the combined ENF of Harappa S-Indian/Baloch but that's more tricky because of it being so close to Caucasian and is one of the reasons that component (S-Indian) fluctuated so much.

Edit: So the Oceanian here very clearly is not correlating to Southeast Asian (and hence, South Indian). It's high in the north and west too. Southeast Asian is getting a little "fudged" with East Asian though. And of course there's 11% ASE in Hindu Kush itself so it's possible high HK in west/southwest India is leaving more free Oceanian, but that still doesn't add up.

Oceanian:ASE ratios (includes ASE from Hindu Kush and Steppe)

HRP0350 Punjabi: 0.4923
Ashwin and Fil (West/Southwest Indian): 0.41-0.43
Me, my dad, and Duffy (Punjabi): 0.34-0.37
Kenji (Himachal Pradesh), Varun Rao (mixed South Indian Brahmin), my mom's cousin (Punjabi): 0.33
Soulblighter (South Indian Brahmin), my grandmother and Sapporo (Punjabi): 0.28
Haryana Jatt, Baloch, Nepal and Jammu Brahmins, Pashtun Pakistan, Pakistani Punjabis: 0.24-0.27
1/2 Pashtun, 1/2 Tajik: 0.20-0.236
Assyrian, Iranian: 0.19-0.20
Two Afghan Pashtun and two Turks: 0.13-0.18

I added Parasar (Bihar Brahimn) and colored the Hindu Kush and Oceanian components. They seem to correlate except for an additional peak around the North/Northeast with Parasar which is probably correlated with Northern/Himalayan admixture. They both reach local minimum in Haryana and west of the Indus, where HK starts to drop too.

parasar
05-01-2015, 09:49 PM
Courtesy Dr_McNinja:

7.45% Near_Eastern
3.35% East_Asian
1.02% Siberian
6.28% Oceanian
10.04% WHG-UHG
0.42% Sub-Saharan
51.44% Hindu_Kush
8.01% Steppe
2.92% Amerindian
9.07% Southeast_Asian

Amerindian is a little higher that I would have expected after 20000+years of separation.

fjnj
05-01-2015, 10:06 PM
For comparison purpose:
Near_Eastern 0.06
East_Asian 61.58
Siberian 8.36
Oceanian 0.29
WHG_UHG 0.06
Sub-Saharan 0
Hindu_Kush 1.18
Steppe 0.2
Amerindian 0.03
Sotheast_Asian 28.23

It seems difficult to say what is real and what is the "calculator effect".

Kurd
05-01-2015, 10:08 PM
They seem to correlate except for an additional peak around the North/Northeast with Parasar which is probably correlated with Northern/Himalayan admixture. They both reach local minimum in Haryana and west of the Indus, where HK starts to drop too.

Specifically, what type of correlation are you referring to? My HK vs. Oceanian vs SE Asian were 37.05, 1.90, 3.22.

Dr_McNinja
05-01-2015, 10:59 PM
Specifically, what type of correlation are you referring to? My HK vs. Oceanian vs SE Asian were 37.05, 1.90, 3.22.
I meant for South Asians although your numbers put you within range of Afghans. In South Asia Oceanian is peaking in the four corners, moreso in the southwest and northeast, and only slightly less so in the southeast and northwest, although there's a minimum in the northwest (aligning with the minimum in HK among South Asians).

Chad Rohlfsen
05-02-2015, 01:23 AM
I have the Onge samples. I am doing some unsupervised runs at various K levels. Once something makes sense, I will try to form supervised components. It depends how the Onge behave though. It may be the key to cracking what South Asian is.

Dr_McNinja
05-02-2015, 02:35 AM
I have the Onge samples. I am doing some unsupervised runs at various K levels. Once something makes sense, I will try to form supervised components. It depends how the Onge behave though. It may be the key to cracking what South Asian is.That will be interesting to see. Especially since Onge aren't supposed to have Denisovan ancestry like Papuans do.

Kurd
05-02-2015, 03:20 AM
I meant for South Asians although your numbers put you within range of Afghans. In South Asia Oceanian is peaking in the four corners, moreso in the southwest and northeast, and only slightly less so in the southeast and northwest, although there's a minimum in the northwest (aligning with the minimum in HK among South Asians).
If I decide to do a PCA, we will be able to tell which components are positively, negatively, and uncorrelated, and the degree of correlation

jesus
05-03-2015, 12:38 AM
10 ancestral populations
101647 total SNPs
3 flipped SNPs
28771 heterozygous SNPs
338 no-calls
16954 absent SNPs
0.829882 genotype rate
mode genomewide

17292 SNPs missing (no-call or absent)
----------------------------
FINAL ADMIXTURE PROPORTIONS:
----------------------------

38.60% Near_Eastern
0.00% East_Asian
0.50% Siberian
1.56% Oceanian
3.09% WHG-UHG
5.96% Sub-Saharan
37.36% Hindu_Kush
8.48% Steppe
2.21% Amerindian
2.24% Southeast_Asian


Least-squares method.

Using 1 population approximation:
1 Iranian @ 7.157234
2 Kurdish @ 11.649248
3 Iranian_Jewish @ 18.59974
4 Iranian_Jew @ 21.17387
5 Turkish @ 21.921387
6 Kumyk @ 22.209853
7 Assyrian @ 22.358152
8 Armenian @ 22.540279
9 Abkhasian @ 23.192231
10 Georgian @ 23.396864
11 Syrian @ 24.018137
12 Iraqi_Jewish @ 24.262238
13 Iraqi_Jew @ 25.259355
14 Lezgin @ 25.634691
15 Adygei @ 25.695302
16 Lebanese @ 25.841483
17 Lebanese_Muslim @ 25.936561
18 Tadjik @ 26.051621
19 North_Ossetian @ 26.275414
20 Balkar @ 26.547302
180 iterations.

Using 2 populations approximation:
1 Palestinian+Pathan @ 5.677344
2 BedouinA+Pathan @ 5.898641
3 Egyptian+Pathan @ 5.979325
4 Afghan_Pashtun+Jordanian @ 6.351652
5 Afghan_Pashtun+Palestinian @ 6.409632
6 Afghan_Pashtun+BedouinA @ 6.470689
7 Pathan+Samaritan @ 6.81466
8 Afghan_Pashtun+Syrian @ 6.903529
9 Afghan_Pashtun+Druze @ 6.907351
10 Lebanese_Christian+Pathan @ 6.976192
11 Jordanian+Pathan @ 6.988344
12 Afghan_Pashtun+Yemen @ 7.149852
13 Druze+Pathan @ 7.153785
14 Iranian+Iranian @ 7.157234
15 Afghan_Pashtun+Lebanese @ 7.307476
16 Afghan_Pashtun+Iraqi_Jew @ 7.336276
17 Afghan_Pashtun+Iraqi_Jewish @ 7.350302

surbakhunWeesste
05-03-2015, 01:30 AM
Here is my father's

FINAL ADMIXTURE PROPORTIONS:

----------------------------
20.16% Near_Eastern
5.09% East_Asian
2.03% Siberian
1.95% Oceanian
5.48% WHG-UHG
0.03% Sub-Saharan
46.00% Hindu_Kush
16.10% Steppe
0.50% Amerindian
2.66% Southeast_Asian




Least-squares method.

Using 1 population approximation:

1 Afghan_Pashtun @ 7.93136
2 Tadjik @ 11.330302
3 Afghan_Uzbeki @ 12.201045
4 Afghan_Tadjik @ 12.337767
5 Tajik_Pomiri @ 12.748557
6 Pathan @ 20.951877
7 Turkmen @ 23.757326
8 Iranian @ 24.974618
9 Lezgin @ 26.790234
10 Balochi @ 26.83439
11 Afghan_Turkmen @ 27.658746
12 Burusho @ 28.22613
13 Kumyk @ 28.440681
14 Kurdish @ 28.751285
15 Brahui @ 29.221564
16 Chechen @ 30.199105
17 GujaratiA @ 31.065409
18 Uzbek @ 31.135589
19 Adygei @ 32.419543
20 North_Ossetian @ 32.798793

180 iterations.

Using 2 populations approximation:

1 Adygei+Burusho @ 3.6658
2 Burusho+Lezgin @ 3.947532
3 Burusho+Chechen @ 4.012199
4 Burusho+Kumyk @ 4.108322
5 Abkhasian+Burusho @ 4.241779
6 Burusho+North_Ossetian @ 4.326796
7 Balkar+Burusho @ 4.47863
8 Balkar+Kalash @ 4.743227
9 Kalash+North_Ossetian @ 4.817664
10 GujaratiA+North_Ossetian @ 4.885981
11 Balkar+GujaratiA @ 4.954854
12 Adygei+GujaratiA @ 5.026402
13 Kumyk+Pathan @ 5.344561
14 Adygei+Kalash @ 5.561949
15 GujaratiA+Kumyk @ 5.635347
16 Burusho+Georgian @ 5.699598
17 Lezgin+Pathan @ 5.92949
18 Chechen+GujaratiA @ 6.189894
19 Abkhasian+GujaratiA @ 6.41823
20 Brahui+Nogai @ 6.481527

16290 iterations.



Using 3 populations approximation:

1 50% Burusho +25% Abkhasian +25% Lezgin @ 1.92601
2 50% Burusho +25% Georgian +25% Lezgin @ 2.255394
3 50% North_Ossetian +25% Burusho +25% Kalash @ 2.518645
4 50% Balkar +25% Burusho +25% Kalash @ 2.579963
5 50% Burusho +25% Abkhasian +25% Chechen @ 2.744308
6 50% Adygei +25% Burusho +25% Kalash @ 2.750406
7 50% Afghan_Pashtun +25% Abkhasian +25% Burusho @ 2.919913
8 50% Afghan_Pashtun +25% Abkhasian +25% Pathan @ 2.93134
9 50% Afghan_Pashtun +25% Burusho +25% Georgian @ 2.952832
10 50% Afghan_Pashtun +25% Balkar +25% Balochi @ 2.964474
11 50% Afghan_Pashtun +25% Balochi +25% North_Ossetian @ 2.979951
12 50% Burusho +25% Adygei +25% Lezgin @ 3.081619
13 50% Burusho +25% Chechen +25% Georgian @ 3.126546
14 50% Afghan_Pashtun +25% Adygei +25% Balochi @ 3.166784
15 50% Burusho +25% Abkhasian +25% Kumyk @ 3.176905
16 50% Pathan +25% Abkhasian +25% Afghan_Tadjik @ 3.211187
17 50% Afghan_Pashtun +25% Adygei +25% Pathan @ 3.222281
18 50% Chechen +25% Brahui +25% Burusho @ 3.265952
19 50% Afghan_Pashtun +25% North_Ossetian +25% Pathan @ 3.270449
20 50% Pathan +25% Abkhasian +25% Tadjik @ 3.29474

1438472 iterations.

Using 4 populations approximation:

1 Abkhasian+Burusho+Burusho+Lezgin @ 1.92601
2 Burusho+Burusho+Georgian+Lezgin @ 2.255394
3 Afghan_Pashtun+Afghan_Tadjik+Balochi+Lezgin @ 2.502309
4 Burusho+Kalash+North_Ossetian+North_Ossetian @ 2.518645
5 Balkar+Burusho+Kalash+North_Ossetian @ 2.54736
6 Balkar+Balkar+Burusho+Kalash @ 2.579963
7 Adygei+Burusho+Kalash+North_Ossetian @ 2.585395
8 Adygei+Balkar+Burusho+Kalash @ 2.598593
9 Afghan_Pashtun+Afghan_Uzbeki+Balochi+Lezgin @ 2.640768
10 Abkhasian+Balkar+Burusho+Kalash @ 2.71393
11 Balochi+Burusho+Kumyk+Lezgin @ 2.719626
12 Afghan_Pashtun+Afghan_Tadjik+Balochi+Chechen @ 2.724633
13 Abkhasian+Burusho+Burusho+Chechen @ 2.744308
14 Abkhasian+Burusho+Kalash+North_Ossetian @ 2.749363
15 Adygei+Adygei+Burusho+Kalash @ 2.750406
16 Afghan_Pashtun+Afghan_Tadjik+Brahui+Lezgin @ 2.770496
17 Balkar+Brahui+Burusho+Lezgin @ 2.771284
18 Brahui+Burusho+Lezgin+North_Ossetian @ 2.787028
19 Afghan_Pashtun+Afghan_Uzbeki+Balochi+Chechen @ 2.802355
20 Afghan_Pashtun+Afghan_Tadjik+Brahui+Chechen @ 2.811973
21 Balochi+Burusho+Lezgin+North_Ossetian @ 2.840519
22 Balkar+Balochi+Burusho+Lezgin @ 2.842338
23 Brahui+Burusho+Kumyk+Lezgin @ 2.919368
24 Abkhasian+Afghan_Pashtun+Afghan_Pashtun+Burusho @ 2.919913
25 Abkhasian+Afghan_Pashtun+Afghan_Pashtun+Pathan @ 2.93134
26 Afghan_Pashtun+Afghan_Pashtun+Burusho+Georgian @ 2.952832
27 Afghan_Pashtun+Afghan_Pashtun+Balkar+Balochi @ 2.964474
28 Afghan_Pashtun+Balochi+Lezgin+Tadjik @ 2.972134
29 Afghan_Pashtun+Afghan_Pashtun+Balochi+North_Osseti an @ 2.979951
30 Afghan_Pashtun+Afghan_Uzbeki+Brahui+Chechen @ 2.992073
31 Afghan_Pashtun+Afghan_Uzbeki+Brahui+Lezgin @ 3.000581
32 Abkhasian+Adygei+Burusho+Kalash @ 3.080979
33 Adygei+Burusho+Burusho+Lezgin @ 3.081619
34 Afghan_Pashtun+Brahui+Lezgin+Tadjik @ 3.10147
35 Adygei+Balochi+Burusho+Lezgin @ 3.105168
36 Adygei+Brahui+Burusho+Lezgin @ 3.106737
37 Adygei+Afghan_Pashtun+Afghan_Tadjik+Balochi @ 3.115986
38 Burusho+Burusho+Chechen+Georgian @ 3.126546
39 Balochi+Burusho+Chechen+Kumyk @ 3.127396
40 Burusho+Kalash+Kumyk+North_Ossetian @ 3.139568

4459177 iterations.

Gaussian method.

Noise dispersion set to 0.520249

Using 1 population approximation:

1 Afghan_Pashtun @ 6.520731
2 Tadjik @ 8.167586
3 Afghan_Uzbeki @ 8.562415
4 Afghan_Tadjik @ 9.050973
5 Tajik_Pomiri @ 9.390375
6 Pathan @ 12.993744
7 Turkmen @ 13.154941
8 Iranian @ 13.413424
9 Kumyk @ 13.655164
10 Afghan_Turkmen @ 15.52469
11 Chechen @ 16.159341
12 North_Ossetian @ 16.204971
13 Kurdish @ 16.421439
14 Uzbek @ 16.423144
15 Balkar @ 16.423279
16 Adygei @ 16.695375
17 Lezgin @ 17.089339
18 Turkish @ 17.34269
19 Nogai @ 18.595007
20 Balochi @ 19.318355

180 iterations.

Using 2 populations approximation:

1 Abkhasian+Burusho @ 3.159256
2 Burusho+Georgian @ 3.353135
3 Adygei+Burusho @ 3.741891
4 Burusho+Lezgin @ 4.063115
5 Burusho+Chechen @ 4.150663
6 Burusho+North_Ossetian @ 4.288062
7 Balkar+Burusho @ 4.410543
8 Kalash+North_Ossetian @ 4.533376
9 Burusho+Kumyk @ 4.580417
10 Balkar+Kalash @ 4.590004
11 North_Ossetian+Pathan @ 4.716588
12 Kumyk+Pathan @ 4.737686
13 Balkar+Pathan @ 4.808938
14 Adygei+Pathan @ 4.9703
15 Adygei+Kalash @ 5.120881
16 Balochi+North_Ossetian @ 5.28845
17 Kalash+Kumyk @ 5.331196
18 Balkar+Balochi @ 5.345755
19 Balochi+Kumyk @ 5.422251
20 Brahui+North_Ossetian @ 5.49096

16290 iterations.

Using 3 populations approximation:

1 50% Burusho +25% Georgian +25% Lezgin @ 2.93157
2 50% Burusho +25% Abkhasian +25% Lezgin @ 3.077915
3 50% Adygei +25% Burusho +25% Kalash @ 3.140299
4 50% Burusho +25% Adygei +25% Georgian @ 3.158019
5 50% Abkhasian +25% Burusho +25% Burusho @ 3.159256
6 50% Burusho +25% Chechen +25% Georgian @ 3.169305
7 50% Burusho +25% Abkhasian +25% Adygei @ 3.229909
8 50% Burusho +25% Abkhasian +25% Georgian @ 3.230104
9 50% Burusho +25% Abkhasian +25% Chechen @ 3.285094
10 50% Burusho +25% Georgian +25% Georgian @ 3.353135
11 50% North_Ossetian +25% Burusho +25% Kalash @ 3.397125
12 50% Burusho +25% Georgian +25% North_Ossetian @ 3.405431
13 50% Abkhasian +25% Burusho +25% Kalash @ 3.434406
14 50% Burusho +25% Balkar +25% Georgian @ 3.466565
15 50% Burusho +25% Abkhasian +25% North_Ossetian @ 3.49209
16 50% Burusho +25% Georgian +25% Kumyk @ 3.519049
17 50% Adygei +25% Balochi +25% Burusho @ 3.520328
18 50% Balkar +25% Burusho +25% Kalash @ 3.524802
19 50% Burusho +25% Armenian +25% Lezgin @ 3.549496
20 50% Burusho +25% Abkhasian +25% Balkar @ 3.554429

2784725 iterations.



Using 4 populations approximation:

1 Abkhasian+Burusho+Kalash+North_Ossetian @ 2.882022
2 Burusho+Georgian+Kalash+North_Ossetian @ 2.910021
3 Abkhasian+Adygei+Burusho+Kalash @ 2.928259
4 Abkhasian+Balkar+Burusho+Kalash @ 2.930157
5 Burusho+Burusho+Georgian+Lezgin @ 2.93157
6 Balkar+Burusho+Georgian+Kalash @ 2.951748
7 Adygei+Burusho+Georgian+Kalash @ 3.013773
8 Abkhasian+Burusho+Burusho+Lezgin @ 3.077915
9 Adygei+Adygei+Burusho+Kalash @ 3.140299
10 Adygei+Burusho+Burusho+Georgian @ 3.158019
11 Abkhasian+Abkhasian+Burusho+Burusho @ 3.159256
12 Burusho+Burusho+Chechen+Georgian @ 3.169305
13 Abkhasian+Adygei+Burusho+Burusho @ 3.229909
14 Abkhasian+Burusho+Burusho+Georgian @ 3.230104
15 Adygei+Burusho+Kalash+North_Ossetian @ 3.238202
16 Abkhasian+Burusho+Kalash+Kumyk @ 3.257634
17 Abkhasian+Burusho+Burusho+Chechen @ 3.285094
18 Burusho+Georgian+Kalash+Kumyk @ 3.291482
19 Adygei+Balkar+Burusho+Kalash @ 3.301107
20 Burusho+Burusho+Georgian+Georgian @ 3.353135
21 Burusho+Kalash+North_Ossetian+North_Ossetian @ 3.397125
22 Burusho+Burusho+Georgian+North_Ossetian @ 3.405431
23 Abkhasian+Abkhasian+Burusho+Kalash @ 3.434406
24 Abkhasian+Burusho+Chechen+Kalash @ 3.446152
25 Balkar+Burusho+Kalash+North_Ossetian @ 3.461084
26 Balkar+Burusho+Burusho+Georgian @ 3.466565
27 Abkhasian+Burusho+Burusho+North_Ossetian @ 3.49209
28 Burusho+Chechen+Georgian+Kalash @ 3.504043
29 Abkhasian+Adygei+Burusho+Pathan @ 3.504249
30 Burusho+Burusho+Georgian+Kumyk @ 3.519049
31 Adygei+Adygei+Balochi+Burusho @ 3.520328
32 Balochi+Burusho+Lezgin+North_Ossetian @ 3.523235
33 Balkar+Balkar+Burusho+Kalash @ 3.524802
34 Armenian+Burusho+Burusho+Lezgin @ 3.549496
35 Abkhasian+Balkar+Burusho+Burusho @ 3.554429
36 Abkhasian+Burusho+Kumyk+Pathan @ 3.556178
37 Adygei+Balochi+Burusho+Lezgin @ 3.559966
38 Adygei+Burusho+Kalash+Kumyk @ 3.563457
39 Abkhasian+Burusho+North_Ossetian+Pathan @ 3.570139
40 Balkar+Balochi+Burusho+Lezgin @ 3.571844

Kurd
05-03-2015, 04:03 AM
Daughter's, 75%Kurd /25% Punjabi. I found it interesting that according to this calculator, our distances from the Tajik proxy were not too dissimilar(Rajput)


FINAL ADMIXTURE PROPORTIONS:
----------------------------

28.06% Near_Eastern
1.43% East_Asian
0.45% Siberian
2.92% Oceanian
5.90% WHG-UHG
1.28% Sub-Saharan
42.95% Hindu_Kush
10.19% Steppe
2.08% Amerindian
4.74% Southeast_Asian

Least-squares method.

Using 1 population approximation:

1 Afghan_Pashtun @ 16.312766
2 Iranian @ 16.645339
3 Tadjik @ 17.019083
4 Afghan_Uzbeki @ 17.405792
5 Afghan_Tadjik @ 17.879446
6 Tajik_Pomiri @ 20.981062
7 Kurdish @ 21.033298
8 Turkmen @ 24.611592
9 Kumyk @ 25.771962
10 Lezgin @ 26.367801
11 Pathan @ 26.467167
12 Chechen @ 28.89958
13 Balochi @ 29.682236
14 Iranian_Jewish @ 29.97192
15 Adygei @ 29.994509
16 Abkhasian @ 30.114554
17 Afghan_Turkmen @ 30.210005
18 North_Ossetian @ 30.527701
19 Turkish @ 30.77014
20 Balkar @ 30.787741
180 iterations.

Using 2 populations approximation:

1 Armenian+GujaratiA @ 4.052762
2 Afghan_Pashtun+Iranian @ 5.010185
3 Armenian+Burusho @ 5.243757
4 Assyrian+GujaratiA @ 5.291973
5 GujaratiA+Syrian @ 5.384557
6 GujaratiA+Lebanese_Muslim @ 5.412472
7 Pathan+Turkish @ 5.570779
8 Armenian+Pathan @ 5.664882
9 Balochi+Turkish @ 5.733641
10 Kurdish+Pathan @ 5.752357
11 GujaratiA+Lebanese @ 5.77911
12 Assyrian+Burusho @ 5.957207
13 Brahui+Turkish @ 5.976802
14 GujaratiA+Turkish @ 6.055268
15 Assyrian+Pathan @ 6.086564
16 Iranian_Jewish+Pathan @ 6.203608
17 Pathan+Syrian @ 6.278937
18 Georgian+GujaratiA @ 6.310308
19 Burusho+Syrian @ 6.335563
20 Afghan_Pashtun+Kurdish @ 6.482133
16290 iterations.

jesus
05-03-2015, 05:14 AM
10 ancestral populations
101647 total SNPs
3 flipped SNPs
28771 heterozygous SNPs
338 no-calls
16954 absent SNPs
0.829882 genotype rate
mode genomewide

17292 SNPs missing (no-call or absent)
----------------------------
FINAL ADMIXTURE PROPORTIONS:
----------------------------

38.60% Near_Eastern
0.00% East_Asian
0.50% Siberian
1.56% Oceanian
3.09% WHG-UHG
5.96% Sub-Saharan
37.36% Hindu_Kush
8.48% Steppe
2.21% Amerindian
2.24% Southeast_Asian


Least-squares method.

Using 1 population approximation:
1 Iranian @ 7.157234
2 Kurdish @ 11.649248
3 Iranian_Jewish @ 18.59974
4 Iranian_Jew @ 21.17387
5 Turkish @ 21.921387
6 Kumyk @ 22.209853
7 Assyrian @ 22.358152
8 Armenian @ 22.540279
9 Abkhasian @ 23.192231
10 Georgian @ 23.396864
11 Syrian @ 24.018137
12 Iraqi_Jewish @ 24.262238
13 Iraqi_Jew @ 25.259355
14 Lezgin @ 25.634691
15 Adygei @ 25.695302
16 Lebanese @ 25.841483
17 Lebanese_Muslim @ 25.936561
18 Tadjik @ 26.051621
19 North_Ossetian @ 26.275414
20 Balkar @ 26.547302
180 iterations.

Using 2 populations approximation:
1 Palestinian+Pathan @ 5.677344
2 BedouinA+Pathan @ 5.898641
3 Egyptian+Pathan @ 5.979325
4 Afghan_Pashtun+Jordanian @ 6.351652
5 Afghan_Pashtun+Palestinian @ 6.409632
6 Afghan_Pashtun+BedouinA @ 6.470689
7 Pathan+Samaritan @ 6.81466
8 Afghan_Pashtun+Syrian @ 6.903529
9 Afghan_Pashtun+Druze @ 6.907351
10 Lebanese_Christian+Pathan @ 6.976192
11 Jordanian+Pathan @ 6.988344
12 Afghan_Pashtun+Yemen @ 7.149852
13 Druze+Pathan @ 7.153785
14 Iranian+Iranian @ 7.157234
15 Afghan_Pashtun+Lebanese @ 7.307476
16 Afghan_Pashtun+Iraqi_Jew @ 7.336276
17 Afghan_Pashtun+Iraqi_Jewish @ 7.350302

My sister's results

FINAL ADMIXTURE PROPORTIONS:
----------------------------

37.53% Near_Eastern
0.01% East_Asian
0.48% Siberian
1.25% Oceanian
3.46% WHG-UHG
6.83% Sub-Saharan
37.43% Hindu_Kush
9.91% Steppe
2.56% Amerindian
0.54% Southeast_Asian

4 Ancestors Oracle



Least-squares method.

Using 1 population approximation:
1 Iranian @ 7.75385
2 Kurdish @ 12.070027
3 Iranian_Jewish @ 19.666625
4 Kumyk @ 21.495384
5 Turkish @ 22.212193
6 Iranian_Jew @ 22.326254
7 Abkhasian @ 22.763782
8 Armenian @ 23.057586
9 Georgian @ 23.132224
10 Assyrian @ 23.230154
11 Lezgin @ 24.403322
12 Syrian @ 24.909901
13 Adygei @ 24.926532
14 Tadjik @ 25.185573
15 Iraqi_Jewish @ 25.396856
16 Chechen @ 25.532575
17 North_Ossetian @ 25.587941
18 Balkar @ 25.861138
19 Iraqi_Jew @ 26.330205
20 Afghan_Uzbeki @ 26.357365

Anglecynn
05-03-2015, 10:40 AM
Where are the files for this calculator?

Tolan
05-03-2015, 10:52 AM
Where are the files for this calculator?

http://www.anthrogenica.com/showthread.php?4402-eurogenes-steppe-k10&p=81780&viewfull=1#post81780

Anglecynn
05-03-2015, 11:32 AM
Mine:
32.52% Near_Eastern
0.19% East_Asian
0.13% Siberian
0.00% Oceanian
38.37% WHG-UHG
0.46% Sub-Saharan
4.23% Hindu_Kush
23.34% Steppe
0.76% Amerindian
0.00% Southeast_Asian

Father:
32.28% Near_Eastern
0.00% East_Asian
0.55% Siberian
0.00% Oceanian
39.24% WHG-UHG
0.23% Sub-Saharan
2.84% Hindu_Kush
24.60% Steppe
0.23% Amerindian
0.01% Southeast_Asian

Paternal Grandfather:
30.49% Near_Eastern
0.00% East_Asian
0.60% Siberian
0.00% Oceanian
39.94% WHG-UHG
0.10% Sub-Saharan
4.29% Hindu_Kush
24.40% Steppe
0.17% Amerindian
0.00% Southeast_Asian

Paternal Grandmother:
31.41% Near_Eastern
0.01% East_Asian
0.00% Siberian
0.00% Oceanian
40.69% WHG-UHG
0.24% Sub-Saharan
3.15% Hindu_Kush
23.57% Steppe
0.56% Amerindian
0.37% Southeast_Asian

Mother:
32.40% Near_Eastern
0.02% East_Asian
0.00% Siberian
0.00% Oceanian
38.04% WHG-UHG
0.20% Sub-Saharan
5.89% Hindu_Kush
23.44% Steppe
0.01% Amerindian
0.00% Southeast_Asian

Aunt:
32.81% Near_Eastern
0.35% East_Asian
0.03% Siberian
0.17% Oceanian
38.63% WHG-UHG
0.00% Sub-Saharan
4.21% Hindu_Kush
23.61% Steppe
0.19% Amerindian
0.00% Southeast_Asian

Bulut
05-05-2015, 07:43 AM
My results


42.05% Near_Eastern
4.67% East_Asian
4.94% Siberian
0.51% Oceanian
8.99% WHG-UHG
0.96% Sub-Saharan
22.64% Hindu_Kush
14.00% Steppe
1.07% Amerindian
0.16% Southeast_Asian

basmaci
05-05-2015, 02:03 PM
41.60% Near_Eastern
6.24% East_Asian
4.11% Siberian
0.97% Oceanian
11.45% WHG-UHG
0.00% Sub-Saharan
17.65% Hindu_Kush
14.71% Steppe
1.06% Amerindian
2.20% Southeast_Asian

J Man
05-05-2015, 08:52 PM
And here are mine. :)

31.08% Near_Eastern
0.94% East_Asian
0.91% Siberian
0.65% Oceanian
33.75% WHG-UHG
0.00% Sub-Saharan
7.06% Hindu_Kush
24.29% Steppe
0.63% Amerindian
0.69% Southeast_Asian



Least-squares method.

Using 1 population approximation:
1 Hungarian @ 6,145941
2 Bosnian @ 7,026423
3 Utah_USA @ 8,122388
4 Serbian_Bosnia @ 8,174178
5 Utah_German @ 8,351323
6 English @ 8,352257
7 Czech @ 8,468126
8 Croatian @ 8,844512
9 Utah_British @ 9,245128
10 Scottish @ 9,289364
11 Orcadian @ 9,404744
12 French @ 9,802931
13 Serbian @ 10,37012
14 Ukrainian_Lviv @ 10,453066
15 Norwegian @ 11,079886
16 Ukrainian_Poltava @ 11,143697
17 Icelandic @ 11,581416
18 Utah_Scandinavian @ 11,604094
19 Montenegrin @ 12,20004
20 HungaryGamba_BA @ 12,229971
180 iterations.

Using 2 populations approximation:
1 Bell_Beaker_LN+Romanian @ 3,202327
2 Bell_Beaker_LN+Bulgarian @ 3,232723
3 Bulgarian+Halberstadt_LBA @ 3,53419
4 Halberstadt_LBA+Romanian @ 3,558286
5 Bell_Beaker_LN+Macedonian @ 3,798267
6 Halberstadt_LBA+Macedonian @ 4,053505
7 Norwegian+Romanian @ 4,358062
8 Halberstadt_LBA+Kosovar @ 4,47866
9 Bell_Beaker_LN+Montenegrin @ 4,550835
10 Bulgarian+Norwegian @ 4,569272
11 BenzigerodeHeimburg_LN+Bergamo @ 4,630853
12 Orcadian+Romanian @ 4,640657
13 Bell_Beaker_LN+Serbian @ 4,641906
14 Icelandic+Romanian @ 4,648295
15 Romanian+Scottish @ 4,688965
16 Alberstedt_LN+Romanian @ 4,691822
17 Alberstedt_LN+Bulgarian @ 4,837974
18 Bulgarian+Icelandic @ 4,846204
19 Bosnian+Scottish @ 4,960669
20 Macedonian+Norwegian @ 4,974269
16290 iterations.

Using 3 populations approximation:
1 50% Utah_Scandinavian +25% Bell_Beaker_LN +25% Turkish @ 0,901459
2 50% Belarusian +25% Basque +25% Kumyk @ 0,917451
3 50% Icelandic +25% Icelandic +25% Turkish @ 1,020161
4 50% Icelandic +25% Turkish +25% Utah_Scandinavian @ 1,032805
5 50% Icelandic +25% Norwegian +25% Turkish @ 1,047348
6 50% Norwegian +25% Turkish +25% Utah_Scandinavian @ 1,061529
7 50% Polish +25% Basque +25% Kumyk @ 1,142888
8 50% Norwegian +25% Icelandic +25% Turkish @ 1,14365
9 50% Utah_Scandinavian +25% Norwegian +25% Turkish @ 1,164025
10 50% Utah_Scandinavian +25% Icelandic +25% Turkish @ 1,227107
11 50% Norwegian +25% Norwegian +25% Turkish @ 1,293723
12 50% Halberstadt_LBA +25% HungaryGamba_BA +25% Turkish @ 1,314704
13 50% Icelandic +25% Orcadian +25% Turkish @ 1,372683
14 50% Utah_Scandinavian +25% Orcadian +25% Turkish @ 1,385986
15 50% Serbian +25% Motala12 +25% Turkish @ 1,41142
16 50% Utah_Scandinavian +25% Scottish +25% Turkish @ 1,415103
17 50% Utah_Scandinavian +25% Halberstadt_LBA +25% Turkish @ 1,415847
18 50% Icelandic +25% Scottish +25% Turkish @ 1,431175
19 50% Icelandic +25% Halberstadt_LBA +25% Turkish @ 1,432928
20 50% Icelandic +25% Bell_Beaker_LN +25% Turkish @ 1,477822
1605087 iterations.

Using 4 populations approximation:
1 Balkar+Bergamo+Motala12+Serbian_Bosnia @ 0,653401
2 Bergamo+Motala12+North_Ossetian+Serbian_Bosnia @ 0,680248
3 Balkar+Bergamo+Croatian+Motala12 @ 0,682197
4 Bergamo+Croatian+Motala12+North_Ossetian @ 0,685893
5 Greek+Motala12+Turkish+Ukrainian_Kharkov @ 0,730622
6 Basque+Kumyk+Lithuanian+Ukrainian_Lviv @ 0,743937
7 Estonian+French_South+Kumyk+Utah_Scandinavian @ 0,777839
8 Balkar+Bergamo+Bosnian+Motala12 @ 0,784253
9 French_South+Kumyk+Lithuanian+Utah_Scandinavian @ 0,795316
10 Basque+Kumyk+Lithuanian+Ukrainian_Poltava @ 0,803108
11 Basque+Estonian+Kumyk+Ukrainian_Lviv @ 0,816445
12 Estonian+Kumyk+Spanish_North+Utah_Scandinavian @ 0,828295
13 Bergamo+Bosnian+Motala12+North_Ossetian @ 0,833476
14 Balkar+Hungarian+Motala12+Tuscan @ 0,834454
15 Basque+Estonian+Kumyk+Ukrainian_Poltava @ 0,840605
16 Hungarian+Motala12+North_Ossetian+Tuscan @ 0,853536
17 Greek+Motala12+Turkish+Ukrainian_Belgorod @ 0,889287
18 Bell_Beaker_LN+Turkish+Utah_Scandinavian+Utah_Scan dinavian @ 0,901459
19 Basque+Belarusian+Belarusian+Kumyk @ 0,917451
20 Belarusian+Greek+Motala12+Turkish @ 0,918734
21 Adygei+Bergamo+Croatian+Motala12 @ 0,925907
22 Balkar+Greek+HungaryGamba_BA+Motala12 @ 0,92835
23 Greek+Motala12+Polish+Turkish @ 0,933787
24 Kumyk+Lithuanian+Spanish_North+Utah_Scandinavian @ 0,940007
25 Estonian+French_South+Icelandic+Kumyk @ 0,959326
26 Adygei+Bergamo+Motala12+Serbian_Bosnia @ 0,964342
27 Basque+Belarusian+Kumyk+Polish @ 0,966797
28 Basque+BenzigerodeHeimburg_LN+Estonian+Turkish @ 0,969109
29 Greek+HungaryGamba_BA+Motala12+North_Ossetian @ 0,969377
30 French_South+Icelandic+Kumyk+Lithuanian @ 0,982082
31 Basque+Estonian+Kumyk+Ukrainian_Kharkov @ 0,982922
32 Icelandic+Norwegian+Turkish+Utah_Scandinavian @ 1,009639
33 Basque+Kumyk+Lithuanian+Ukrainian_Kharkov @ 1,01556
34 Icelandic+Icelandic+Icelandic+Turkish @ 1,020161
35 Albanian+Motala12+Turkish+Ukrainian_Lviv @ 1,020662
36 Albanian+Balkar+French+Motala12 @ 1,024365
37 Bosnian+Montenegrin+Motala12+Turkish @ 1,027017
38 French_South+Kumyk+Lithuanian+Norwegian @ 1,02786
39 Bell_Beaker_LN+Estonian+French_South+North_Ossetia n @ 1,028461
40 Balkar+Bell_Beaker_LN+Estonian+French_South @ 1,02941
6682640 iterations.


Gaussian method.
Noise dispersion set to 0,520249

Using 1 population approximation:
1 Bosnian @ 2,831161
2 Scottish @ 3,373805
3 English @ 3,800742
4 French @ 4,182364
5 Orcadian @ 4,349446
6 Serbian @ 4,53374
7 Hungarian @ 4,581533
8 Norwegian @ 4,588779
9 Utah_USA @ 4,628865
10 Romanian @ 4,677466
11 Macedonian @ 4,694768
12 Icelandic @ 4,855845
13 Bulgarian @ 4,893501
14 Bell_Beaker_LN @ 4,916679
15 Alberstedt_LN @ 5,061409
16 Montenegrin @ 5,212663
17 Serbian_Bosnia @ 5,40452
18 Utah_British @ 5,468835
19 Halberstadt_LBA @ 5,795679
20 Utah_German @ 6,064666
180 iterations.

Using 2 populations approximation:
1 Bell_Beaker_LN+Bulgarian @ 0,002745
2 Bulgarian+Halberstadt_LBA @ 0,003484
3 Alberstedt_LN+Kosovar @ 0,004167
4 Bell_Beaker_LN+Macedonian @ 0,004443
5 Bell_Beaker_LN+Romanian @ 0,004686
6 Halberstadt_LBA+Romanian @ 0,006308
7 Alberstedt_LN+Bulgarian @ 0,010083
8 Alberstedt_LN+Romanian @ 0,018502
9 Bulgarian+Scottish @ 0,024461
10 Halberstadt_LBA+Macedonian @ 0,03487
11 Macedonian+Scottish @ 0,040128
12 Romanian+Scottish @ 0,042087
13 Bulgarian+Orcadian @ 0,054909
14 Halberstadt_LBA+Kosovar @ 0,062349
15 Bulgarian+Icelandic @ 0,063332
16 Bell_Beaker_LN+Serbian @ 0,070766
17 Orcadian+Romanian @ 0,074975
18 Bulgarian+Norwegian @ 0,074998
19 Alberstedt_LN+Macedonian @ 0,077086
20 Macedonian+Norwegian @ 0,08304
16290 iterations.

Using 3 populations approximation:
1 50% Lithuanian +25% Basque +25% Georgian @ 0,000116
2 50% Lithuanian +25% Abkhasian +25% Basque @ 0,000155
3 50% Lithuanian +25% Lezgin +25% Spain_MN @ 0,000171
4 50% Lithuanian +25% Chechen +25% Spain_MN @ 0,000176
5 50% Lithuanian +25% Georgian +25% Spanish_North @ 0,000196
6 50% Lithuanian +25% French_South +25% Georgian @ 0,000197
7 50% Lithuanian +25% Armenian +25% Spanish_North @ 0,000211
8 50% Lithuanian +25% Armenian +25% Basque @ 0,000222
9 50% Lithuanian +25% Abkhasian +25% Spanish_North @ 0,000229
10 50% HungaryGamba_BA +25% Chechen +25% Icelandic @ 0,000238
11 50% Lithuanian +25% Armenian +25% French_South @ 0,000248
12 50% Lithuanian +25% Abkhasian +25% Spain_MN @ 0,000278
13 50% HungaryGamba_BA +25% Chechen +25% English @ 0,000298
14 50% HungaryGamba_BA +25% Chechen +25% Norwegian @ 0,000358
15 50% HungaryGamba_BA +25% Bell_Beaker_LN +25% Chechen @ 0,000377
16 50% HungaryGamba_BA +25% Alberstedt_LN +25% Chechen @ 0,000389
17 50% HungaryGamba_BA +25% Chechen +25% Scottish @ 0,000395
18 50% Lithuanian +25% Abkhasian +25% French_South @ 0,000402
19 50% Lithuanian +25% Esperstedt_MN +25% Lezgin @ 0,000414
20 50% HungaryGamba_BA +25% Chechen +25% Halberstadt_LBA @ 0,00045
2220576 iterations.

Using 4 populations approximation:
1 Basque+Georgian+Lithuanian+Lithuanian @ 0,000116
2 Chechen+HungaryGamba_BA+Lithuanian+Spanish_North @ 0,000142
3 Abkhasian+Basque+Lithuanian+Lithuanian @ 0,000155
4 Lezgin+Lithuanian+Lithuanian+Spain_MN @ 0,000171
5 Chechen+Lithuanian+Lithuanian+Spain_MN @ 0,000176
6 Basque+Georgian+Lithuanian+Polish @ 0,000182
7 Basque+Chechen+HungaryGamba_BA+Lithuanian @ 0,000185
8 Basque+Belarusian+Georgian+Lithuanian @ 0,000186
9 Georgian+Lithuanian+Lithuanian+Spanish_North @ 0,000196
10 Abkhasian+Basque+Lithuanian+Polish @ 0,000197
11 French_South+Georgian+Lithuanian+Lithuanian @ 0,000197
12 Alberstedt_LN+Chechen+Lithuanian+Spain_MN @ 0,000204
13 Armenian+Lithuanian+Lithuanian+Spanish_North @ 0,000211
14 Armenian+Basque+Lithuanian+Lithuanian @ 0,000222
15 Abkhasian+Lithuanian+Lithuanian+Spanish_North @ 0,000229
16 Chechen+HungaryGamba_BA+HungaryGamba_BA+Icelandic @ 0,000238
17 Chechen+English+Lithuanian+Spanish_North @ 0,000244
18 Chechen+French_South+HungaryGamba_BA+Lithuanian @ 0,000244
19 Armenian+French_South+Lithuanian+Lithuanian @ 0,000248
20 HungaryGamba_BA+Lezgin+Lithuanian+Spanish_North @ 0,000267
21 Basque+Estonian+Georgian+Lithuanian @ 0,000269
22 Abkhasian+Lithuanian+Lithuanian+Spain_MN @ 0,000278
23 Alberstedt_LN+Lezgin+Lithuanian+Spain_MN @ 0,000284
24 Abkhasian+Icelandic+Lithuanian+Spanish_North @ 0,000286
25 Chechen+English+HungaryGamba_BA+HungaryGamba_BA @ 0,000298
26 Abkhasian+Basque+Icelandic+Lithuanian @ 0,000308
27 Basque+HungaryGamba_BA+Lezgin+Lithuanian @ 0,000308
28 Chechen+Icelandic+Lithuanian+Spain_MN @ 0,000309
29 Basque+Chechen+English+Lithuanian @ 0,000311
30 French_South+HungaryGamba_BA+Lezgin+Lithuanian @ 0,000319
31 Abkhasian+Basque+Belarusian+Lithuanian @ 0,000325
32 Abkhasian+Alberstedt_LN+Basque+Lithuanian @ 0,000328
33 Lezgin+Lithuanian+Polish+Spain_MN @ 0,000335
34 Basque+Chechen+Czech+Lithuanian @ 0,000336
35 Chechen+Lithuanian+Polish+Spain_MN @ 0,000345
36 Alberstedt_LN+Basque+Estonian+Georgian @ 0,000351
37 Abkhasian+Alberstedt_LN+Lithuanian+Spanish_North @ 0,000354
38 Chechen+Halberstadt_LBA+Lithuanian+Spain_MN @ 0,000354
39 Abkhasian+Lithuanian+Polish+Spanish_North @ 0,000356
40 Chechen+HungaryGamba_BA+HungaryGamba_BA+Norwegian @ 0,000358
19040366 iterations.

Mellow
05-06-2015, 10:07 PM
----------------------------
FINAL ADMIXTURE PROPORTIONS:
----------------------------

50.17% Near_Eastern
0.38% East_Asian
0.00% Siberian
0.16% Oceanian
24.79% WHG-UHG
0.00% Sub-Saharan
5.93% Hindu_Kush
18.56% Steppe
0.01% Amerindian
0.00% Southeast_Asian

Least-squares method.

Using 1 population approximation:
1 Albanian @ 2,975316
2 Tuscan @ 3,405131
3 Kosovar @ 3,655251
4 Greek @ 5,346435
5 Bergamo @ 6,683452
6 West_Sicilian @ 7,481397
7 Bulgarian @ 9,726954
8 Macedonian @ 9,822934
9 Sicilian @ 10,014755
10 Romanian @ 10,767214
11 Ashkenazi_Jew @ 11,488668
12 Maltese @ 12,294703
13 East_Sicilian @ 12,299662
14 Montenegrin @ 12,314074
15 South_Italian @ 13,753211
16 Serbian @ 13,981638
17 Spanish @ 15,830435
18 Turkish_Jew @ 18,292405
19 Croatian @ 18,419597
20 Bosnian @ 18,489426

Using 2 populations approximation:
1 Kosovar+Tuscan @ 1,282397
2 Albanian+Tuscan @ 1,398021
3 Bergamo+Greek @ 1,785759
4 East_Sicilian+Montenegrin @ 2,634978
5 Montenegrin+South_Italian @ 2,662844
6 Cyprian+HungaryGamba_BA @ 2,718567
7 Albanian+Bergamo @ 2,744161
8 Serbian+South_Italian @ 2,815409
9 Macedonian+West_Sicilian @ 2,86454
10 Montenegrin+Sicilian @ 2,870019
11 Macedonian+Sicilian @ 2,898996
12 Kosovar+West_Sicilian @ 2,927026
13 Greek+Tuscan @ 2,970945
14 Albanian+Albanian @ 2,975316
15 Maltese+Montenegrin @ 3,035974
16 Greek+Kosovar @ 3,038086
17 Albanian+Kosovar @ 3,066787
18 East_Sicilian+Serbian @ 3,090834
19 East_Sicilian+Macedonian @ 3,225135
20 Bulgarian+West_Sicilian @ 3,271509
16290 iterations.

Using 3 populations approximation:
1 50% Tuscan +25% Albanian +25% Kosovar @ 1,172232
2 50% Esperstedt_MN +25% Corded_Ware_LN +25% Lebanese_Christian @ 1,200182
3 50% Kosovar +25% Tuscan +25% Tuscan @ 1,282397
4 50% Albanian +25% Bergamo +25% Greek @ 1,309033
5 50% Tuscan +25% Greek +25% Macedonian @ 1,31466
6 50% Sardinian +25% Corded_Ware_LN +25% Lebanese_Christian @ 1,396966
7 50% Albanian +25% Tuscan +25% Tuscan @ 1,398021
8 50% Greek +25% Bergamo +25% Kosovar @ 1,452076
9 50% Tuscan +25% Bulgarian +25% Greek @ 1,501092
10 50% Tuscan +25% Greek +25% Kosovar @ 1,51653
11 50% Spain_EN +25% Corded_Ware_LN +25% Cypriot @ 1,523822
12 50% Sardinian +25% Corded_Ware_LN +25% Cypriot @ 1,53184
13 50% Albanian +25% Bergamo +25% West_Sicilian @ 1,571818
14 50% Kosovar +25% Bergamo +25% Greek @ 1,600344
15 50% Kosovar +25% Bergamo +25% West_Sicilian @ 1,616158
16 50% Kosovar +25% Greek +25% Tuscan @ 1,619096
17 50% Kosovar +25% Tuscan +25% West_Sicilian @ 1,61951
18 50% Greek +25% HungaryGamba_BA +25% South_Italian @ 1,640479
19 50% Tuscan +25% Montenegrin +25% West_Sicilian @ 1,643949
20 50% Tuscan +25% Macedonian +25% West_Sicilian @ 1,650529
1546504 iterations.

Using 4 populations approximation:
1 Corded_Ware_LN+HungaryGamba_EN+Lebanese_Christian+ Spain_MN @ 1,073175
2 LBK_EN+Lebanese_Christian+Lithuanian+Montenegrin @ 1,112373
3 Albanian+Kosovar+Tuscan+Tuscan @ 1,172232
4 BenzigerodeHeimburg_LN+Greek+LBK_EN+South_Italian @ 1,192532
5 Corded_Ware_LN+Esperstedt_MN+Esperstedt_MN+Lebanes e_Christian @ 1,200182
6 Corded_Ware_LN+Cypriot+LBK_EN+Spain_MN @ 1,210325
7 Corded_Ware_LN+Cypriot+Sardinian+Spain_EN @ 1,219201
8 Corded_Ware_LN+Esperstedt_MN+Lebanese_Christian+Sa rdinian @ 1,224449
9 Lebanese_Christian+Lithuanian+Montenegrin+Stuttgar t @ 1,239426
10 Corded_Ware_LN+Cypriot+Esperstedt_MN+Spain_EN @ 1,248018
11 LBK_EN+Lebanese_Christian+Polish+Serbian_Bosnia @ 1,2481
12 Belarusian+Cyprian+HungaryGamba_EN+Macedonian @ 1,280454
13 Kosovar+Kosovar+Tuscan+Tuscan @ 1,282397
14 Lebanese_Christian+Polish+Serbian_Bosnia+Stuttgart @ 1,287447
15 Croatian+LBK_EN+Lebanese_Christian+Polish @ 1,298358
16 Cyprian+HungaryGamba_EN+Macedonian+Polish @ 1,304994
17 LBK_EN+Lebanese_Christian+Lithuanian+Serbian @ 1,305373
18 BenzigerodeHeimburg_LN+Greek+South_Italian+Stuttga rt @ 1,305685
19 Albanian+Bergamo+Greek+Kosovar @ 1,308419
20 Albanian+Albanian+Bergamo+Greek @ 1,309033
21 Corded_Ware_LN+Lebanese_Christian+Spain_MN+Stuttga rt @ 1,310774
22 Greek+Macedonian+Tuscan+Tuscan @ 1,31466
23 Cyprian+HungaryGamba_EN+Kosovar+Lithuanian @ 1,333928
24 Croatian+Lebanese_Christian+Polish+Stuttgart @ 1,338649
25 Bosnian+Cyprian+LBK_EN+Ukrainian_Lviv @ 1,340676
26 Bergamo+Greek+Kosovar+Tuscan @ 1,346916
27 Bosnian+Cyprian+LBK_EN+Ukrainian_Poltava @ 1,347048
28 Bosnian+Cypriot+LBK_EN+Ukrainian_Poltava @ 1,348654
29 Belarusian+Croatian+LBK_EN+Lebanese_Christian @ 1,350167
30 Belarusian+LBK_EN+Lebanese_Christian+Serbian_Bosni a @ 1,355736
31 Bulgarian+Cyprian+HungaryGamba_EN+Polish @ 1,356045
32 Bosnian+LBK_EN+Lebanese_Christian+Polish @ 1,358353
33 Bulgarian+Cypriot+LBK_EN+Lithuanian @ 1,364081
34 Cyprian+HungaryGamba_EN+Montenegrin+Ukrainian_Belg orod @ 1,36501
35 Bosnian+Cypriot+LBK_EN+Ukrainian_Belgorod @ 1,367138
36 Alberstedt_LN+Cyprian+LBK_EN+Montenegrin @ 1,369541
37 Lebanese_Christian+Lithuanian+Macedonian+Stuttgart @ 1,369647
38 HungaryGamba_EN+Lebanese_Christian+Polish+Serbian_ Bosnia @ 1,370418
39 LBK_EN+Lebanese_Christian+Lithuanian+Macedonian @ 1,370856
40 Cypriot+HungaryGamba_EN+Montenegrin+Ukrainian_Belg orod @ 1,371785
6168983 iterations.

Tsakhur
01-13-2016, 12:49 AM
This steppe ancestry thing is very weird. I notice in this spreadsheet that non-steppe people like some south euros, north, eastern euros and even caucasians score higher steppe ancestry than actual steppe peoples like kyrgyz, mongolians: https://docs.google.com/spreadsheets/d/1Hb0GVyrf2ztR_QvoIYcmhWtsYv0p39avjqM-G3-6Xew/edit?pli=1#gid=1809893991. I don't think it has anything to do with ANE or EHG but I might be wrong.

VelvetNono
01-13-2016, 03:17 PM
My Results (3/4 Afghan Pashtun and 1/4 Afghan Tajik. (With some Dardic (Pashai) admixture as well):

Steppe 10:
----------------------------
FINAL ADMIXTURE PROPORTIONS:
----------------------------

16.29% Near_Eastern
3.67% East_Asian
1.66% Siberian
1.86% Oceanian
5.88% WHG-UHG
0.00% Sub-Saharan
49.37% Hindu_Kush
14.36% Steppe
2.77% Amerindian
4.15% Southeast_Asian

In order:
49.37% Hindu_Kush
16.29% Near_Eastern
14.36% Steppe
5.88% WHG-UHG
4.15% Southeast_Asian
3.67% East_Asian
2.77% Amerindian
1.86% Oceanian
1.66% Siberian
0.00% Sub-Saharan

Tsakhur
01-13-2016, 05:34 PM
i think this steppe ancestry average for pops is weird and doesn't look like making much sense. it is probably is showing something else as even groups with no known european ancestry like yemenis and egyptians even scoring very few amounts of it (might be noise though): https://docs.google.com/spreadsheets/d/1Hb0GVyrf2ztR_QvoIYcmhWtsYv0p39avjqM-G3-6Xew/edit?pli=1#gid=1809893991

so what does this steppe ancesty really represents?

evon
01-13-2016, 09:15 PM
so what does this steppe ancesty really represents?

Indo-European steppe ancestry is my best guess..Maybe David wrote a blog post about this calculator when he created it?

evon
01-13-2016, 09:32 PM
Me:

28.50% Near_Eastern
0.01% East_Asian
0.02% Siberian
0.00% Oceanian
42.03% WHG-UHG
0.00% Sub-Saharan
3.11% Hindu_Kush
25.37% Steppe
0.82% Amerindian
0.14% Southeast_Asian


Mother:

27.97% Near_Eastern
0.33% East_Asian
0.01% Siberian
0.15% Oceanian
41.60% WHG-UHG
0.00% Sub-Saharan
1.77% Hindu_Kush
26.08% Steppe
1.92% Amerindian
0.15% Southeast_Asian

Maternal Uncle:

28.78% Near_Eastern
0.46% East_Asian
0.03% Siberian
0.01% Oceanian
39.74% WHG-UHG
0.00% Sub-Saharan
2.40% Hindu_Kush
26.75% Steppe
0.55% Amerindian
1.27% Southeast_Asian


Paternal aunt:

28.04% Near_Eastern
0.03% East_Asian
1.48% Siberian
0.16% Oceanian
41.18% WHG-UHG
0.00% Sub-Saharan
0.49% Hindu_Kush
28.47% Steppe
0.14% Amerindian
0.01% Southeast_Asian

Maternal grandmother:

27.74% Near_Eastern
0.00% East_Asian
0.00% Siberian
0.00% Oceanian
40.12% WHG-UHG
0.00% Sub-Saharan
4.08% Hindu_Kush
26.11% Steppe
0.63% Amerindian
1.32% Southeast_Asian

Maternal grand uncle:

28.76% Near_Eastern
0.00% East_Asian
0.78% Siberian
0.00% Oceanian
38.99% WHG-UHG
0.00% Sub-Saharan
5.37% Hindu_Kush
25.94% Steppe
0.02% Amerindian
0.13% Southeast_Asian

psaglav
01-13-2016, 09:59 PM
41.31% Near_Eastern
0.64% East_Asian
3.48% Siberian
0.42% Oceanian
18.27% WHG-UHG
0.19% Sub-Saharan
13.43% Hindu_Kush
21.28% Steppe
0.51% Amerindian
0.47% Southeast_Asian

I'm a steppe-rider alright.
It's also the first time I'm getting a Sub-Saharan score above 0.00, though it's still v small.

Tsakhur
01-13-2016, 10:07 PM
Indo-European steppe ancestry is my best guess..Maybe David wrote a blog post about this calculator when he created it?

thanks. i think this is weird as some groups with no known indo-european ancestry like egyptians, yemenis got few points of it even though it might be just noise.

it is interesting to see that all euros including south euros have more steppe ancestry than actual steppe people like kyrgyz, mongolians, for example.

Agamemnon
01-13-2016, 11:25 PM
My results:

40.82% Near_Eastern
0.07% East_Asian
0.11% Siberian
0.61% Oceanian
28.90% WHG-UHG
0.35% Sub-Saharan
8.26% Hindu_Kush
20.73% Steppe
0.00% Amerindian
0.15% Southeast_Asian

My mother's results:

30.69% Near_Eastern
0.00% East_Asian
0.00% Siberian
0.08% Oceanian
40.27% WHG-UHG
0.28% Sub-Saharan
3.96% Hindu_Kush
24.70% Steppe
0.00% Amerindian
0.00% Southeast_Asian

My mother's paternal relative:

30.41% Near_Eastern
0.00% East_Asian
0.01% Siberian
0.01% Oceanian
39.37% WHG-UHG
0.00% Sub-Saharan
3.23% Hindu_Kush
26.27% Steppe
0.70% Amerindian
0.00% Southeast_Asian

Tag Heuer
01-14-2016, 12:05 AM
And here are mine. :)

31.08% Near_Eastern
0.94% East_Asian
0.91% Siberian
0.65% Oceanian
33.75% WHG-UHG
0.00% Sub-Saharan
7.06% Hindu_Kush
24.29% Steppe
0.63% Amerindian
0.69% Southeast_Asian



Least-squares method.

Using 1 population approximation:
1 Hungarian @ 6,145941
2 Bosnian @ 7,026423
3 Utah_USA @ 8,122388
4 Serbian_Bosnia @ 8,174178
5 Utah_German @ 8,351323
6 English @ 8,352257
7 Czech @ 8,468126
8 Croatian @ 8,844512
9 Utah_British @ 9,245128
10 Scottish @ 9,289364
11 Orcadian @ 9,404744
12 French @ 9,802931
13 Serbian @ 10,37012
14 Ukrainian_Lviv @ 10,453066
15 Norwegian @ 11,079886
16 Ukrainian_Poltava @ 11,143697
17 Icelandic @ 11,581416
18 Utah_Scandinavian @ 11,604094
19 Montenegrin @ 12,20004
20 HungaryGamba_BA @ 12,229971
180 iterations.

Using 2 populations approximation:
1 Bell_Beaker_LN+Romanian @ 3,202327
2 Bell_Beaker_LN+Bulgarian @ 3,232723
3 Bulgarian+Halberstadt_LBA @ 3,53419
4 Halberstadt_LBA+Romanian @ 3,558286
5 Bell_Beaker_LN+Macedonian @ 3,798267
6 Halberstadt_LBA+Macedonian @ 4,053505
7 Norwegian+Romanian @ 4,358062
8 Halberstadt_LBA+Kosovar @ 4,47866
9 Bell_Beaker_LN+Montenegrin @ 4,550835
10 Bulgarian+Norwegian @ 4,569272
11 BenzigerodeHeimburg_LN+Bergamo @ 4,630853
12 Orcadian+Romanian @ 4,640657
13 Bell_Beaker_LN+Serbian @ 4,641906
14 Icelandic+Romanian @ 4,648295
15 Romanian+Scottish @ 4,688965
16 Alberstedt_LN+Romanian @ 4,691822
17 Alberstedt_LN+Bulgarian @ 4,837974
18 Bulgarian+Icelandic @ 4,846204
19 Bosnian+Scottish @ 4,960669
20 Macedonian+Norwegian @ 4,974269
16290 iterations.

Using 3 populations approximation:
1 50% Utah_Scandinavian +25% Bell_Beaker_LN +25% Turkish @ 0,901459
2 50% Belarusian +25% Basque +25% Kumyk @ 0,917451
3 50% Icelandic +25% Icelandic +25% Turkish @ 1,020161
4 50% Icelandic +25% Turkish +25% Utah_Scandinavian @ 1,032805
5 50% Icelandic +25% Norwegian +25% Turkish @ 1,047348
6 50% Norwegian +25% Turkish +25% Utah_Scandinavian @ 1,061529
7 50% Polish +25% Basque +25% Kumyk @ 1,142888
8 50% Norwegian +25% Icelandic +25% Turkish @ 1,14365
9 50% Utah_Scandinavian +25% Norwegian +25% Turkish @ 1,164025
10 50% Utah_Scandinavian +25% Icelandic +25% Turkish @ 1,227107
11 50% Norwegian +25% Norwegian +25% Turkish @ 1,293723
12 50% Halberstadt_LBA +25% HungaryGamba_BA +25% Turkish @ 1,314704
13 50% Icelandic +25% Orcadian +25% Turkish @ 1,372683
14 50% Utah_Scandinavian +25% Orcadian +25% Turkish @ 1,385986
15 50% Serbian +25% Motala12 +25% Turkish @ 1,41142
16 50% Utah_Scandinavian +25% Scottish +25% Turkish @ 1,415103
17 50% Utah_Scandinavian +25% Halberstadt_LBA +25% Turkish @ 1,415847
18 50% Icelandic +25% Scottish +25% Turkish @ 1,431175
19 50% Icelandic +25% Halberstadt_LBA +25% Turkish @ 1,432928
20 50% Icelandic +25% Bell_Beaker_LN +25% Turkish @ 1,477822
1605087 iterations.

Using 4 populations approximation:
1 Balkar+Bergamo+Motala12+Serbian_Bosnia @ 0,653401
2 Bergamo+Motala12+North_Ossetian+Serbian_Bosnia @ 0,680248
3 Balkar+Bergamo+Croatian+Motala12 @ 0,682197
4 Bergamo+Croatian+Motala12+North_Ossetian @ 0,685893
5 Greek+Motala12+Turkish+Ukrainian_Kharkov @ 0,730622
6 Basque+Kumyk+Lithuanian+Ukrainian_Lviv @ 0,743937
7 Estonian+French_South+Kumyk+Utah_Scandinavian @ 0,777839
8 Balkar+Bergamo+Bosnian+Motala12 @ 0,784253
9 French_South+Kumyk+Lithuanian+Utah_Scandinavian @ 0,795316
10 Basque+Kumyk+Lithuanian+Ukrainian_Poltava @ 0,803108
11 Basque+Estonian+Kumyk+Ukrainian_Lviv @ 0,816445
12 Estonian+Kumyk+Spanish_North+Utah_Scandinavian @ 0,828295
13 Bergamo+Bosnian+Motala12+North_Ossetian @ 0,833476
14 Balkar+Hungarian+Motala12+Tuscan @ 0,834454
15 Basque+Estonian+Kumyk+Ukrainian_Poltava @ 0,840605
16 Hungarian+Motala12+North_Ossetian+Tuscan @ 0,853536
17 Greek+Motala12+Turkish+Ukrainian_Belgorod @ 0,889287
18 Bell_Beaker_LN+Turkish+Utah_Scandinavian+Utah_Scan dinavian @ 0,901459
19 Basque+Belarusian+Belarusian+Kumyk @ 0,917451
20 Belarusian+Greek+Motala12+Turkish @ 0,918734
21 Adygei+Bergamo+Croatian+Motala12 @ 0,925907
22 Balkar+Greek+HungaryGamba_BA+Motala12 @ 0,92835
23 Greek+Motala12+Polish+Turkish @ 0,933787
24 Kumyk+Lithuanian+Spanish_North+Utah_Scandinavian @ 0,940007
25 Estonian+French_South+Icelandic+Kumyk @ 0,959326
26 Adygei+Bergamo+Motala12+Serbian_Bosnia @ 0,964342
27 Basque+Belarusian+Kumyk+Polish @ 0,966797
28 Basque+BenzigerodeHeimburg_LN+Estonian+Turkish @ 0,969109
29 Greek+HungaryGamba_BA+Motala12+North_Ossetian @ 0,969377
30 French_South+Icelandic+Kumyk+Lithuanian @ 0,982082
31 Basque+Estonian+Kumyk+Ukrainian_Kharkov @ 0,982922
32 Icelandic+Norwegian+Turkish+Utah_Scandinavian @ 1,009639
33 Basque+Kumyk+Lithuanian+Ukrainian_Kharkov @ 1,01556
34 Icelandic+Icelandic+Icelandic+Turkish @ 1,020161
35 Albanian+Motala12+Turkish+Ukrainian_Lviv @ 1,020662
36 Albanian+Balkar+French+Motala12 @ 1,024365
37 Bosnian+Montenegrin+Motala12+Turkish @ 1,027017
38 French_South+Kumyk+Lithuanian+Norwegian @ 1,02786
39 Bell_Beaker_LN+Estonian+French_South+North_Ossetia n @ 1,028461
40 Balkar+Bell_Beaker_LN+Estonian+French_South @ 1,02941
6682640 iterations.


Gaussian method.
Noise dispersion set to 0,520249

Using 1 population approximation:
1 Bosnian @ 2,831161
2 Scottish @ 3,373805
3 English @ 3,800742
4 French @ 4,182364
5 Orcadian @ 4,349446
6 Serbian @ 4,53374
7 Hungarian @ 4,581533
8 Norwegian @ 4,588779
9 Utah_USA @ 4,628865
10 Romanian @ 4,677466
11 Macedonian @ 4,694768
12 Icelandic @ 4,855845
13 Bulgarian @ 4,893501
14 Bell_Beaker_LN @ 4,916679
15 Alberstedt_LN @ 5,061409
16 Montenegrin @ 5,212663
17 Serbian_Bosnia @ 5,40452
18 Utah_British @ 5,468835
19 Halberstadt_LBA @ 5,795679
20 Utah_German @ 6,064666
180 iterations.

Using 2 populations approximation:
1 Bell_Beaker_LN+Bulgarian @ 0,002745
2 Bulgarian+Halberstadt_LBA @ 0,003484
3 Alberstedt_LN+Kosovar @ 0,004167
4 Bell_Beaker_LN+Macedonian @ 0,004443
5 Bell_Beaker_LN+Romanian @ 0,004686
6 Halberstadt_LBA+Romanian @ 0,006308
7 Alberstedt_LN+Bulgarian @ 0,010083
8 Alberstedt_LN+Romanian @ 0,018502
9 Bulgarian+Scottish @ 0,024461
10 Halberstadt_LBA+Macedonian @ 0,03487
11 Macedonian+Scottish @ 0,040128
12 Romanian+Scottish @ 0,042087
13 Bulgarian+Orcadian @ 0,054909
14 Halberstadt_LBA+Kosovar @ 0,062349
15 Bulgarian+Icelandic @ 0,063332
16 Bell_Beaker_LN+Serbian @ 0,070766
17 Orcadian+Romanian @ 0,074975
18 Bulgarian+Norwegian @ 0,074998
19 Alberstedt_LN+Macedonian @ 0,077086
20 Macedonian+Norwegian @ 0,08304
16290 iterations.

Using 3 populations approximation:
1 50% Lithuanian +25% Basque +25% Georgian @ 0,000116
2 50% Lithuanian +25% Abkhasian +25% Basque @ 0,000155
3 50% Lithuanian +25% Lezgin +25% Spain_MN @ 0,000171
4 50% Lithuanian +25% Chechen +25% Spain_MN @ 0,000176
5 50% Lithuanian +25% Georgian +25% Spanish_North @ 0,000196
6 50% Lithuanian +25% French_South +25% Georgian @ 0,000197
7 50% Lithuanian +25% Armenian +25% Spanish_North @ 0,000211
8 50% Lithuanian +25% Armenian +25% Basque @ 0,000222
9 50% Lithuanian +25% Abkhasian +25% Spanish_North @ 0,000229
10 50% HungaryGamba_BA +25% Chechen +25% Icelandic @ 0,000238
11 50% Lithuanian +25% Armenian +25% French_South @ 0,000248
12 50% Lithuanian +25% Abkhasian +25% Spain_MN @ 0,000278
13 50% HungaryGamba_BA +25% Chechen +25% English @ 0,000298
14 50% HungaryGamba_BA +25% Chechen +25% Norwegian @ 0,000358
15 50% HungaryGamba_BA +25% Bell_Beaker_LN +25% Chechen @ 0,000377
16 50% HungaryGamba_BA +25% Alberstedt_LN +25% Chechen @ 0,000389
17 50% HungaryGamba_BA +25% Chechen +25% Scottish @ 0,000395
18 50% Lithuanian +25% Abkhasian +25% French_South @ 0,000402
19 50% Lithuanian +25% Esperstedt_MN +25% Lezgin @ 0,000414
20 50% HungaryGamba_BA +25% Chechen +25% Halberstadt_LBA @ 0,00045
2220576 iterations.

Using 4 populations approximation:
1 Basque+Georgian+Lithuanian+Lithuanian @ 0,000116
2 Chechen+HungaryGamba_BA+Lithuanian+Spanish_North @ 0,000142
3 Abkhasian+Basque+Lithuanian+Lithuanian @ 0,000155
4 Lezgin+Lithuanian+Lithuanian+Spain_MN @ 0,000171
5 Chechen+Lithuanian+Lithuanian+Spain_MN @ 0,000176
6 Basque+Georgian+Lithuanian+Polish @ 0,000182
7 Basque+Chechen+HungaryGamba_BA+Lithuanian @ 0,000185
8 Basque+Belarusian+Georgian+Lithuanian @ 0,000186
9 Georgian+Lithuanian+Lithuanian+Spanish_North @ 0,000196
10 Abkhasian+Basque+Lithuanian+Polish @ 0,000197
11 French_South+Georgian+Lithuanian+Lithuanian @ 0,000197
12 Alberstedt_LN+Chechen+Lithuanian+Spain_MN @ 0,000204
13 Armenian+Lithuanian+Lithuanian+Spanish_North @ 0,000211
14 Armenian+Basque+Lithuanian+Lithuanian @ 0,000222
15 Abkhasian+Lithuanian+Lithuanian+Spanish_North @ 0,000229
16 Chechen+HungaryGamba_BA+HungaryGamba_BA+Icelandic @ 0,000238
17 Chechen+English+Lithuanian+Spanish_North @ 0,000244
18 Chechen+French_South+HungaryGamba_BA+Lithuanian @ 0,000244
19 Armenian+French_South+Lithuanian+Lithuanian @ 0,000248
20 HungaryGamba_BA+Lezgin+Lithuanian+Spanish_North @ 0,000267
21 Basque+Estonian+Georgian+Lithuanian @ 0,000269
22 Abkhasian+Lithuanian+Lithuanian+Spain_MN @ 0,000278
23 Alberstedt_LN+Lezgin+Lithuanian+Spain_MN @ 0,000284
24 Abkhasian+Icelandic+Lithuanian+Spanish_North @ 0,000286
25 Chechen+English+HungaryGamba_BA+HungaryGamba_BA @ 0,000298
26 Abkhasian+Basque+Icelandic+Lithuanian @ 0,000308
27 Basque+HungaryGamba_BA+Lezgin+Lithuanian @ 0,000308
28 Chechen+Icelandic+Lithuanian+Spain_MN @ 0,000309
29 Basque+Chechen+English+Lithuanian @ 0,000311
30 French_South+HungaryGamba_BA+Lezgin+Lithuanian @ 0,000319
31 Abkhasian+Basque+Belarusian+Lithuanian @ 0,000325
32 Abkhasian+Alberstedt_LN+Basque+Lithuanian @ 0,000328
33 Lezgin+Lithuanian+Polish+Spain_MN @ 0,000335
34 Basque+Chechen+Czech+Lithuanian @ 0,000336
35 Chechen+Lithuanian+Polish+Spain_MN @ 0,000345
36 Alberstedt_LN+Basque+Estonian+Georgian @ 0,000351
37 Abkhasian+Alberstedt_LN+Lithuanian+Spanish_North @ 0,000354
38 Chechen+Halberstadt_LBA+Lithuanian+Spain_MN @ 0,000354
39 Abkhasian+Lithuanian+Polish+Spanish_North @ 0,000356
40 Chechen+HungaryGamba_BA+HungaryGamba_BA+Norwegian @ 0,000358
19040366 iterations.

you're partially Chechen :biggrin1:

Dorkymon
01-14-2016, 10:36 AM
35.77% Near_Eastern
2.83% East_Asian
1.28% Siberian
0.53% Oceanian
30.61% WHG-UHG
0.00% Sub-Saharan
4.71% Hindu_Kush
24.19% Steppe
0.08% Amerindian
0.01% Southeast_Asian

evon
01-14-2016, 11:23 AM
thanks. i think this is weird as some groups with no known indo-european ancestry like egyptians, yemenis got few points of it even though it might be just noise.

it is interesting to see that all euros including south euros have more steppe ancestry than actual steppe people like kyrgyz, mongolians, for example.

This is easily explained by the fact that those groups are mainly of east Asian/Siberian ancestry, not so much Indo-European related ancestry (Which came from the European steppe, not the Asian steppe)..
https://en.wikipedia.org/wiki/Yamna_culture

Tsakhur
02-09-2016, 06:19 AM
This is easily explained by the fact that those groups are mainly of east Asian/Siberian ancestry, not so much Indo-European related ancestry (Which came from the European steppe, not the Asian steppe)..
https://en.wikipedia.org/wiki/Yamna_culture

thank you again for clarifying me. What about some groups who unlikely have Indo-European related ancestry like Egyptians, Yemenis? Do you think it might be just noise for them?

SSlava
02-15-2016, 11:50 AM
26.86% Near_Eastern
0.03% East_Asian
2.06% Siberian
0.30% Oceanian
37.82% WHG-UHG
0.00% Sub-Saharan
0.00% Hindu_Kush
31.89% Steppe
0.06% Amerindian
0.98% Southeast_Asian

Star93
02-15-2016, 10:05 PM
50.17% Near_Eastern
0.38% East_Asian
0.00% Siberian
0.16% Oceanian
24.79% WHG-UHG
0.00% Sub-Saharan
5.93% Hindu_Kush
18.56% Steppe
0.01% Amerindian
0.00% Southeast_Asian

SSlava
02-17-2016, 01:10 PM
Indo-European steppe ancestry is my best guess..Maybe David wrote a blog post about this calculator when he created it?

Are you sure that they were the first Indo-Europeans?))
As far as I know, the first burial mounds in the place appeared in hvalynskoya culture And Samara cultures.

Yamnaya was a mixture of eastern Europeans and Caucasians.

Generally different calculators give different results and conclusions)).

Samara is the oldest culture, which is supposed PIE features.

Here are the results in K10 (Samara)

South Asian 1.52
Caucasus -
Southwest Asian -
North Amerindian + Arctic 11.43
Siberian -
Mediterranean -
East Asian -
West African -
East European 64.88
North Atlantic 22.18

Afanasievo (Yamnaya)

Population
South Asian 5.29
Caucasus 15.96
Southwest Asian -
North Amerindian + Arctic 5.28
Siberian -
Mediterranean -
East Asian -
West African -
East European 42.90
North Atlantic 30.57





And here's my list:

South Asian -
Caucasus 4.37
Southwest Asian 1.62
North Amerindian + Arctic -
Siberian 1.45
Mediterranean 10.63
East Asian 0.45
West African -
East European 53.29
North Atlantic 28.19


The main difference, they do not have impurities Anatolian farmers. And many of their genes with the Indians?
I wonder what that means?

They had haplogroup R1a, R1b, Q.

jortita
04-02-2016, 12:51 PM
My admix results:

5.87% Near_Eastern
14.12% East_Asian
2.33% Siberian
6.49% Oceanian
5.77% WHG-UHG
0.78% Sub-Saharan
44.18% Hindu_Kush
4.40% Steppe
0.54% Amerindian
15.52% Southeast_Asian

My oracle results:

Least-squares method.

Using 1 population approximation:
1 Afghan_Uzbeki @ 19.895692
2 Afghan_Tadjik @ 20.083913
3 Afghan_Pashtun @ 20.978367
4 Burusho @ 22.994665
5 Pathan @ 24.37503
6 Tadjik @ 24.594678
7 Tajik_Pomiri @ 25.614352
8 Ust_Ishim @ 27.013237
9 GujaratiA @ 27.821493
10 Turkmen @ 31.636582
11 Afghan_Turkmen @ 31.930289
12 Balochi @ 31.939374
13 Uzbek @ 32.270525
14 Brahui @ 33.53014
15 Uygur @ 33.993675
16 Kalash @ 37.147727
17 Kostenki14 @ 37.687026
18 Iranian @ 43.179675
19 Nogai @ 43.717882
20 Kumyk @ 46.120444
180 iterations.

Using 2 populations approximation:
1 GujaratiA+Uygur @ 12.205243
2 Burusho+Ust_Ishim @ 12.508004
3 Brahui+Burmese @ 13.18093
4 Balochi+Burmese @ 13.434024
5 Burmese+Kalash @ 14.162121
6 Pathan+Ust_Ishim @ 14.377525
7 Burmese+GujaratiA @ 14.548798
8 Pathan+Uygur @ 14.72742
9 Kalash+Uygur @ 14.762914
10 Burusho+Uygur @ 14.769939
11 Brahui+Uygur @ 14.835755
12 GujaratiA+Uzbek @ 14.893059
13 Balochi+Uygur @ 15.049602
14 Burmese+Pathan @ 15.167632
15 Balochi+Ust_Ishim @ 15.483715
16 Brahui+Thai @ 15.538267
17 Afghan_Tadjik+Burusho @ 15.648733
18 Balochi+Thai @ 15.690211
19 Burusho+Uzbek @ 15.697113
20 Afghan_Pashtun+Ust_Ishim @ 15.721732
16290 iterations.

Using 3 populations approximation:
1 50% Burusho +25% Afghan_Tadjik +25% Thai @ 5.215108
2 50% Burusho +25% Afghan_Uzbeki +25% Thai @ 5.22465
3 50% Burusho +25% Afghan_Pashtun +25% Thai @ 5.284351
4 50% Balochi +25% Burmese +25% Ust_Ishim @ 5.35302
5 50% GujaratiA +25% Afghan_Uzbeki +25% Lahu @ 5.615761
6 50% GujaratiA +25% Afghan_Pashtun +25% Lahu @ 5.620565
7 50% Pathan +25% Burusho +25% Lahu @ 5.622143
8 50% Pathan +25% Lahu +25% Pathan @ 5.651393
9 50% GujaratiA +25% Afghan_Tadjik +25% Burmese @ 5.654579
10 50% GujaratiA +25% Afghan_Tadjik +25% Lahu @ 5.663222
11 50% Burusho +25% Tadjik +25% Thai @ 5.667357
12 50% GujaratiA +25% Afghan_Pashtun +25% Miao @ 5.741835
13 50% Brahui +25% Burmese +25% Ust_Ishim @ 5.769703
14 50% Burusho +25% Afghan_Uzbeki +25% Cambodian @ 5.810957
15 50% GujaratiA +25% Afghan_Pashtun +25% Han @ 5.882896
16 50% GujaratiA +25% Afghan_Uzbeki +25% Burmese @ 5.911646
17 50% GujaratiA +25% Afghan_Pashtun +25% She @ 5.917295
18 50% Burusho +25% Afghan_Pashtun +25% Kinh @ 5.962502
19 50% Burusho +25% Afghan_Tadjik +25% Cambodian @ 5.976743
20 50% Pathan +25% GujaratiA +25% Lahu @ 6.022262
1495223 iterations.

Using 4 populations approximation:
1 Brahui+Burmese+Pathan+Ust_Ishim @ 4.866164
2 Balochi+Burmese+Pathan+Ust_Ishim @ 4.920115
3 Balochi+Burmese+GujaratiA+Ust_Ishim @ 5.03855
4 Brahui+Burmese+GujaratiA+Ust_Ishim @ 5.206429
5 Afghan_Tadjik+Burusho+Burusho+Thai @ 5.215108
6 Afghan_Uzbeki+Burusho+Burusho+Thai @ 5.22465
7 Afghan_Uzbeki+Burusho+GujaratiA+Thai @ 5.236089
8 Afghan_Pashtun+Burusho+Burusho+Thai @ 5.284351
9 Afghan_Pashtun+Balochi+GujaratiA+Lahu @ 5.297453
10 Afghan_Tadjik+Burusho+GujaratiA+Thai @ 5.302522
11 Balochi+Balochi+Burmese+Ust_Ishim @ 5.35302
12 Afghan_Uzbeki+Burusho+Pathan+Thai @ 5.362432
13 Afghan_Tadjik+Brahui+GujaratiA+Lahu @ 5.375306
14 Afghan_Pashtun+Burusho+GujaratiA+Lahu @ 5.382848
15 Afghan_Pashtun+GujaratiA+Lahu+Pathan @ 5.385867
16 Afghan_Tadjik+Balochi+Burusho+Thai @ 5.418536
17 Afghan_Pashtun+Brahui+GujaratiA+Lahu @ 5.424813
18 Afghan_Tadjik+Brahui+Burusho+Thai @ 5.448324
19 Afghan_Pashtun+Balochi+Burusho+Lahu @ 5.46769
20 Balochi+Burmese+Kalash+Ust_Ishim @ 5.468717
21 Afghan_Tadjik+Burusho+Pathan+Thai @ 5.47984
22 Afghan_Pashtun+Brahui+Burusho+Lahu @ 5.48247
23 Afghan_Tadjik+Balochi+GujaratiA+Lahu @ 5.488589
24 Balochi+Brahui+Burmese+Ust_Ishim @ 5.53081
25 Afghan_Uzbeki+Balochi+Burusho+Thai @ 5.536575
26 Afghan_Pashtun+Balochi+Burusho+Kinh @ 5.537983
27 Afghan_Uzbeki+Brahui+GujaratiA+Lahu @ 5.564852
28 Balochi+Burmese+Burusho+Ust_Ishim @ 5.57172
29 Afghan_Pashtun+Brahui+Burusho+Kinh @ 5.58413
30 Afghan_Uzbeki+GujaratiA+GujaratiA+Lahu @ 5.615761
31 Brahui+Burmese+Burusho+Ust_Ishim @ 5.617851
32 Afghan_Uzbeki+Balochi+GujaratiA+Lahu @ 5.619835
33 Afghan_Pashtun+GujaratiA+GujaratiA+Lahu @ 5.620565
34 Afghan_Uzbeki+Brahui+Burusho+Thai @ 5.620775
35 Burusho+Lahu+Pathan+Pathan @ 5.622143
36 Lahu+Pathan+Pathan+Pathan @ 5.651393
37 Afghan_Tadjik+Burmese+GujaratiA+GujaratiA @ 5.654579
38 Afghan_Tadjik+GujaratiA+GujaratiA+Lahu @ 5.663222
39 Burusho+Burusho+Tadjik+Thai @ 5.667357
40 Burusho+Kalash+Thai+Turkmen @ 5.688149
5199787 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 Burusho @ 17.102892
2 Afghan_Tadjik @ 19.524065
3 Afghan_Uzbeki @ 21.259952
4 Afghan_Pashtun @ 21.337833
5 Pathan @ 24.184396
6 Uygur @ 24.39609
7 Ust_Ishim @ 26.04454
8 Uzbek @ 28.319468
9 Tadjik @ 28.530828
10 Turkmen @ 29.669146
11 Balochi @ 34.543225
12 Kalash @ 37.389766
13 Brahui @ 38.644418
14 Nogai @ 39.979462
15 Thai @ 40.073244
16 Tajik_Pomiri @ 41.178611
17 Kyrgyz @ 42.092001
18 Iranian @ 42.265737
19 Afghan_Turkmen @ 42.756445
20 Burmese @ 43.60013
180 iterations.

Using 2 populations approximation:
1 Burmese+Pathan @ 9.391384
2 Balochi+Burmese @ 10.005621
3 Pathan+Thai @ 10.580667
4 Balochi+Thai @ 11.193318
5 Cambodian+Pathan @ 11.628119
6 Brahui+Burmese @ 11.850164
7 Balochi+Cambodian @ 12.072431
8 Afghan_Pashtun+Burmese @ 12.116557
9 Burusho+Ust_Ishim @ 12.308902
10 GujaratiA+Uygur @ 12.436032
11 Malay+Pathan @ 12.595829
12 Afghan_Pashtun+Thai @ 12.609404
13 GujaratiA+Thai @ 12.718869
14 Burmese+GujaratiA @ 12.791443
15 Balochi+Malay @ 13.00483
16 Afghan_Uzbeki+Ust_Ishim @ 13.061108
17 Brahui+Thai @ 13.14509
18 Afghan_Pashtun+Cambodian @ 13.252804
19 Burusho+Thai @ 13.280614
20 Lahu+Pathan @ 13.497443
16290 iterations.

Using 3 populations approximation:
1 50% GujaratiA +25% Afghan_Pashtun +25% Burmese @ 6.544201
2 50% Burusho +25% Afghan_Uzbeki +25% Malay @ 6.598938
3 50% GujaratiA +25% Afghan_Tadjik +25% Burmese @ 6.600766
4 50% GujaratiA +25% Afghan_Uzbeki +25% Burmese @ 6.635013
5 50% GujaratiA +25% Afghan_Pashtun +25% Lahu @ 6.678952
6 50% GujaratiA +25% Afghan_Uzbeki +25% Thai @ 6.772893
7 50% Burusho +25% Afghan_Tadjik +25% Malay @ 6.79568
8 50% Burusho +25% Afghan_Pashtun +25% Thai @ 6.83103
9 50% Pathan +25% Burmese +25% GujaratiA @ 6.854971
10 50% GujaratiA +25% Afghan_Tadjik +25% Thai @ 6.8721
11 50% GujaratiA +25% Afghan_Tadjik +25% Lahu @ 6.920898
12 50% GujaratiA +25% Balochi +25% Lahu @ 6.921348
13 50% GujaratiA +25% Afghan_Uzbeki +25% Lahu @ 6.926249
14 50% Burusho +25% Afghan_Pashtun +25% Cambodian @ 6.936024
15 50% Burusho +25% Afghan_Uzbeki +25% Cambodian @ 6.970987
16 50% Pathan +25% Burmese +25% Ust_Ishim @ 7.027474
17 50% Pathan +25% GujaratiA +25% Lahu @ 7.035228
18 50% Burusho +25% Afghan_Tadjik +25% Cambodian @ 7.050406
19 50% GujaratiA +25% Balochi +25% Burmese @ 7.071225
20 50% Burusho +25% Afghan_Pashtun +25% Malay @ 7.109313
2915910 iterations.

Using 4 populations approximation:
1 Afghan_Pashtun+Burmese+GujaratiA+GujaratiA @ 6.544201
2 Afghan_Uzbeki+Burusho+Burusho+Malay @ 6.598938
3 Afghan_Tadjik+Burmese+GujaratiA+GujaratiA @ 6.600766
4 Afghan_Uzbeki+Burmese+GujaratiA+GujaratiA @ 6.635013
5 Afghan_Uzbeki+Burusho+GujaratiA+Thai @ 6.65871
6 Afghan_Pashtun+GujaratiA+GujaratiA+Lahu @ 6.678952
7 Afghan_Tadjik+Burusho+GujaratiA+Thai @ 6.690614
8 Balochi+Burmese+Pathan+Ust_Ishim @ 6.761497
9 Afghan_Uzbeki+GujaratiA+GujaratiA+Thai @ 6.772893
10 Afghan_Pashtun+Burusho+GujaratiA+Thai @ 6.779733
11 Afghan_Tadjik+Burusho+Burusho+Malay @ 6.79568
12 Afghan_Pashtun+Burusho+Burusho+Thai @ 6.83103
13 Burmese+GujaratiA+Pathan+Pathan @ 6.854971
14 Afghan_Tadjik+GujaratiA+GujaratiA+Thai @ 6.8721
15 Afghan_Uzbeki+Burusho+Cambodian+GujaratiA @ 6.890317
16 Afghan_Tadjik+GujaratiA+GujaratiA+Lahu @ 6.920898
17 Balochi+GujaratiA+GujaratiA+Lahu @ 6.921348
18 Brahui+Burmese+Pathan+Ust_Ishim @ 6.926055
19 Afghan_Uzbeki+GujaratiA+GujaratiA+Lahu @ 6.926249
20 Afghan_Pashtun+Burusho+Burusho+Cambodian @ 6.936024
21 Afghan_Uzbeki+Burusho+Burusho+Cambodian @ 6.970987
22 Balochi+Burmese+GujaratiA+Pathan @ 6.987474
23 Balochi+GujaratiA+Lahu+Pathan @ 6.997439
24 Afghan_Pashtun+Burmese+Burusho+GujaratiA @ 7.015911
25 Burmese+Pathan+Pathan+Ust_Ishim @ 7.027474
26 GujaratiA+Lahu+Pathan+Pathan @ 7.035228
27 Afghan_Tadjik+Burusho+Cambodian+GujaratiA @ 7.036034
28 Afghan_Pashtun+Brahui+GujaratiA+Lahu @ 7.043729
29 Afghan_Tadjik+Burusho+Burusho+Cambodian @ 7.050406
30 Afghan_Pashtun+Brahui+Burmese+GujaratiA @ 7.057136
31 Balochi+Burmese+GujaratiA+GujaratiA @ 7.071225
32 Afghan_Pashtun+Balochi+Burmese+GujaratiA @ 7.071577
33 Afghan_Pashtun+Burusho+GujaratiA+Lahu @ 7.071637
34 Afghan_Pashtun+Balochi+GujaratiA+Lahu @ 7.082939
35 Afghan_Pashtun+Burmese+GujaratiA+Pathan @ 7.09785
36 Balochi+Burusho+GujaratiA+Lahu @ 7.102558
37 Afghan_Pashtun+Burusho+Burusho+Malay @ 7.109313
38 Brahui+Burmese+GujaratiA+Pathan @ 7.135978
39 Burmese+GujaratiA+GujaratiA+Pathan @ 7.154164
40 Balochi+Burusho+Burusho+Thai @ 7.154647

kingjohn
06-04-2016, 07:20 PM
can someone help how do i do it i am willing to send my raw data
to someone to see my steppe allells
p.s i still dont know what is the diffrence between yamanaya k6 and eurogenes k10 steppe in both test they used yamnaya dont they ?
best regards
adam

Deftextra
06-09-2016, 04:19 AM
My results (quite accurate):
29.09% Near_Eastern
2.78% East_Asian
0.06% Siberian
3.06% Oceanian
3.23% WHG-UHG
34.36% Sub-Saharan
20.51% Hindu_Kush
1.40% Steppe
0.81% Amerindian
4.70% Southeast_Asian

I guess there is no horn African populations in the references.


Using 1 population approximation:
1 Yemen @ 18.329205
2 Egyptian @ 20.434188
3 Tunisian @ 22.71621
4 BedouinA @ 23.155084
5 Palestinian @ 26.153577
6 Jordanian @ 26.332374
7 Syrian @ 29.785461
8 Ust_Ishim @ 31.086858
9 Kostenki14 @ 31.627343
10 Lebanese @ 32.477186
11 Libyan_Jew @ 34.579493
12 Moroccan @ 34.932089
13 Moroccan_Jewish @ 35.517293
14 Moroccan_Jew @ 35.519288
15 Lebanese_Muslim @ 36.287536
16 Algerian @ 37.075754
17 Druze @ 39.777182
18 Maltese @ 41.317719
19 Turkish_Jew @ 45.273074
20 Iranian @ 46.20781
180 iterations.

Using 3 populations approximation:
1 50% Yemen +25% Mandenka +25% Ust_Ishim @ 6.050368
2 50% Yemen +25% Gambian +25% Ust_Ishim @ 6.057587
3 50% Yemen +25% Esan +25% Ust_Ishim @ 6.064915
4 50% Yemen +25% Ust_Ishim +25% Yoruba @ 6.066747
5 50% Yemen +25% Mende +25% Ust_Ishim @ 6.069526
6 50% BedouinA +25% Esan +25% Ust_Ishim @ 6.694114
7 50% BedouinA +25% Ust_Ishim +25% Yoruba @ 6.696126
8 50% BedouinA +25% Mende +25% Ust_Ishim @ 6.701904
9 50% BedouinA +25% Mandenka +25% Ust_Ishim @ 6.743024
10 50% BedouinA +25% Gambian +25% Ust_Ishim @ 6.76559
11 50% Jordanian +25% Esan +25% Ust_Ishim @ 6.871815
12 50% Jordanian +25% Ust_Ishim +25% Yoruba @ 6.87401
13 50% Jordanian +25% Mende +25% Ust_Ishim @ 6.881908
14 50% Iraqi_Jewish +25% Esan +25% Ust_Ishim @ 6.933377
15 50% Iraqi_Jewish +25% Ust_Ishim +25% Yoruba @ 6.93613
16 50% Jordanian +25% Mandenka +25% Ust_Ishim @ 6.938225
17 50% Iraqi_Jewish +25% Mende +25% Ust_Ishim @ 6.947198
18 50% Jordanian +25% Gambian +25% Ust_Ishim @ 6.965274
19 50% Iraqi_Jew +25% Esan +25% Ust_Ishim @ 6.978356
20 50% Iraqi_Jew +25% Ust_Ishim +25% Yoruba @ 6.980988
2915910 iterations.

Using 4 populations approximation:
1 Esan+Iranian_Jew+Ust_Ishim+Yemen @ 6.030216
2 Iranian_Jew+Ust_Ishim+Yemen+Yoruba @ 6.03266
3 Iranian_Jew+Mende+Ust_Ishim+Yemen @ 6.039856
4 Mandenka+Ust_Ishim+Yemen+Yemen @ 6.050368
5 Esan+Iraqi_Jewish+Ust_Ishim+Yemen @ 6.052314
6 Iraqi_Jewish+Ust_Ishim+Yemen+Yoruba @ 6.054762
7 Gambian+Ust_Ishim+Yemen+Yemen @ 6.057587
8 Iraqi_Jewish+Mende+Ust_Ishim+Yemen @ 6.062048
9 Esan+Ust_Ishim+Yemen+Yemen @ 6.064915
10 Ust_Ishim+Yemen+Yemen+Yoruba @ 6.066747
11 Mende+Ust_Ishim+Yemen+Yemen @ 6.069526
12 Iranian_Jew+Mandenka+Ust_Ishim+Yemen @ 6.080234
13 Esan+Iranian_Jewish+Ust_Ishim+Yemen @ 6.096451
14 Esan+Iraqi_Jew+Ust_Ishim+Yemen @ 6.097769
15 Iranian_Jewish+Ust_Ishim+Yemen+Yoruba @ 6.098847
16 Iraqi_Jew+Ust_Ishim+Yemen+Yoruba @ 6.100161
17 Gambian+Iranian_Jew+Ust_Ishim+Yemen @ 6.104775
18 Iranian_Jewish+Mende+Ust_Ishim+Yemen @ 6.106204
19 Iraqi_Jew+Mende+Ust_Ishim+Yemen @ 6.107273
20 Iraqi_Jewish+Mandenka+Ust_Ishim+Yemen @ 6.108688
21 Gambian+Iraqi_Jewish+Ust_Ishim+Yemen @ 6.13429
22 Iranian_Jewish+Mandenka+Ust_Ishim+Yemen @ 6.138235
23 Iraqi_Jew+Mandenka+Ust_Ishim+Yemen @ 6.155112
24 Esan+Samaritan+Ust_Ishim+Yemen @ 6.155667
25 Samaritan+Ust_Ishim+Yemen+Yoruba @ 6.158017
26 Gambian+Iranian_Jewish+Ust_Ishim+Yemen @ 6.160508
27 Mende+Samaritan+Ust_Ishim+Yemen @ 6.164513
28 Gambian+Iraqi_Jew+Ust_Ishim+Yemen @ 6.18091
29 Mandenka+Samaritan+Ust_Ishim+Yemen @ 6.235582
30 Egyptian+Esan+Iranian_Jewish+Ust_Ishim @ 6.261357
31 Egyptian+Esan+Iranian_Jew+Ust_Ishim @ 6.262943
32 Egyptian+Iranian_Jewish+Ust_Ishim+Yoruba @ 6.263728
33 Egyptian+Iranian_Jew+Ust_Ishim+Yoruba @ 6.265334
34 Gambian+Samaritan+Ust_Ishim+Yemen @ 6.26568
35 Egyptian+Iranian_Jewish+Mende+Ust_Ishim @ 6.27162
36 Egyptian+Iranian_Jew+Mende+Ust_Ishim @ 6.272918
37 BedouinA+Esan+Ust_Ishim+Yemen @ 6.296138
38 BedouinA+Ust_Ishim+Yemen+Yoruba @ 6.298088
39 BedouinA+Mende+Ust_Ishim+Yemen @ 6.302512
40 BedouinA+Mandenka+Ust_Ishim+Yemen @ 6.31545
45212895 iterations.

tippy
06-09-2016, 08:54 AM
Is this useless for non-Central/South Asians?

Me

54.98% Near_Eastern
23.42% Hindu_Kush
11.95% Steppe
4.22% Sub-Saharan
2.08% WHG-UHG
1.14% Southeast_Asian
0.82% Siberian
0.72% Amerindian
0.66% East_Asian
0.00% Oceanian


mom


55.03% Near_Eastern
22.16% Hindu_Kush
12.25% Steppe
3.23% WHG-UHG
3.05% SSA
2.05% Siberian
1.53% East_Asian
0.57% Oceanian
0.16% Southeast_Asian
0.00% Amerindian

Deftextra
06-09-2016, 12:45 PM
I has a closer look at other members results. Looks like hindu_kush is acting like a proxy for other types of ancestries for different people. On average I am around 20 south-Asian. So I assumed this is where the hindu_kush was entirely coming from. However, in oracles I usually get approximate as 1/4 some south asian population, which in this case is replaced by Ust_ishim.

drobbah
06-10-2016, 03:45 AM
----------------------------
FINAL ADMIXTURE PROPORTIONS:
----------------------------

36.46% Near_Eastern
0.35% East_Asian
1.48% Siberian
2.61% Oceanian
0.00% WHG-UHG
51.48% Sub-Saharan
4.85% Hindu_Kush
0.00% Steppe
0.27% Amerindian
2.49% Southeast_Asian

CPU time = 61.75 sec

drobbah
06-10-2016, 03:48 AM
I has a closer look at other members results. Looks like hindu_kush is acting like a proxy for other types of ancestries for different people. On average I am around 20 south-Asian. So I assumed this is where the hindu_kush was entirely coming from. However, in oracles I usually get approximate as 1/4 some south asian population, which in this case is replaced by Ust_ishim.

I scored Hindu Kush and I have zero S Asian ancestry.I think it might somehow be related to CHG.I scored close to 4%(3.81 to be exact) CHG in Punt K12.So there might be a connection

kingjohn
07-06-2016, 02:07 PM
thanks tippy :)
eurogenes steppe 10 :
39582 SNPs missing (no-call or absent)

----------------------------
FINAL ADMIXTURE PROPORTIONS:
----------------------------

53.05% Near_Eastern
0.01% East_Asian
0.71% Siberian
0.61% Oceanian
16.45% WHG-UHG
0.54% Sub-Saharan
14.73% Hindu_Kush
13.90% Steppe
0.00% Amerindian
0.00% Southeast_Asian


Using 1 population approximation:
1 Ashkenazi_Jew @ 4.630091
2 East_Sicilian @ 5.971931
3 Sicilian @ 6.205588
4 South_Italian @ 6.341507
5 Maltese @ 6.408659
6 West_Sicilian @ 7.229213
7 Turkish_Jew @ 8.172871
8 Sephardic_Jewish @ 8.633189
9 Greek @ 9.737872
10 Moroccan_Jewish @ 11.456309
11 Moroccan_Jew @ 11.806238
12 Tuscan @ 13.014783
13 Albanian @ 14.044171
14 Turkish @ 14.147324
15 Cyprian @ 14.165511
16 Cypriot @ 14.590709
17 Libyan_Jew @ 14.68565
18 Kosovar @ 15.156916
19 Lebanese_Muslim @ 16.520424
20 Lebanese @ 16.761961
180 iterations.

Using 2 populations approximation:
1 Assyrian+Bergamo @ 2.243467
2 Lezgin+Stuttgart @ 2.249414
3 HungaryGamba_EN+Lezgin @ 2.578006
4 Abkhasian+Sardinian @ 2.738835
5 LBK_EN+Lezgin @ 2.758253
6 Bergamo+Lebanese_Muslim @ 2.81893
7 Armenian+Bergamo @ 2.867682
8 Abkhasian+Esperstedt_MN @ 3.062528
9 Bergamo+Syrian @ 3.172785
10 Kosovar+Lebanese_Muslim @ 3.28014
11 Chechen+HungaryGamba_EN @ 3.326201
12 Bergamo+Iraqi_Jew @ 3.398167
13 Kosovar+Lebanese @ 3.404368
14 Chechen+Stuttgart @ 3.45658
15 Bergamo+Lebanese @ 3.473017
16 Druze+Macedonian @ 3.534306
17 Druze+Romanian @ 3.536402
18 HungaryGamba_EN+Kumyk @ 3.566401
19 Bulgarian+Druze @ 3.584258
20 Adygei+Spain_EN @ 3.610208
16290 iterations.

Using 3 populations approximation:
1 50% Assyrian +25% Alberstedt_LN +25% LBK_EN @ 0.991526
2 50% Sephardic_Jewish +25% Armenian +25% French @ 1.001991
3 50% Lebanese_Christian +25% Bell_Beaker_LN +25% South_Italian @ 1.019805
4 50% Bergamo +25% Armenian +25% Lebanese_Muslim @ 1.030026
5 50% Assyrian +25% Alberstedt_LN +25% Stuttgart @ 1.03457
6 50% Lebanese_Christian +25% Bell_Beaker_LN +25% East_Sicilian @ 1.062324
7 50% Cyprian +25% Abkhasian +25% Basque @ 1.098371
8 50% Assyrian +25% HungaryGamba_EN +25% Ukrainian_Lviv @ 1.123743
9 50% Iraqi_Jewish +25% Estonian +25% LBK_EN @ 1.129165
10 50% South_Italian +25% Bergamo +25% Kurdish @ 1.130142
11 50% Sicilian +25% Iranian_Jewish +25% Kosovar @ 1.130617
12 50% Turkish_Jew +25% Assyrian +25% French @ 1.134995
13 50% Tuscan +25% Kurdish +25% Sephardic_Jewish @ 1.161118
14 50% Bergamo +25% Armenian +25% Lebanese @ 1.16196
15 50% Assyrian +25% Stuttgart +25% Ukrainian_Belgorod @ 1.162905
16 50% East_Sicilian +25% Iranian_Jew +25% Romanian @ 1.170143
17 50% Assyrian +25% Belarusian +25% Stuttgart @ 1.173715
18 50% Iraqi_Jew +25% BenzigerodeHeimburg_LN +25% Stuttgart @ 1.181363
19 50% West_Sicilian +25% Iranian_Jewish +25% Tuscan @ 1.185099
20 50% East_Sicilian +25% Iranian_Jew +25% Macedonian @ 1.186286
1513929 iterations.

Using 4 populations approximation:
1 Abkhasian+Cypriot+Sephardic_Jewish+Spanish_North @ 0.713325
2 Cyprian+HungaryGamba_BA+Iranian_Jew+South_Italian @ 0.748563
3 Ashkenazi_Jew+Georgian+Lebanese_Christian+Spanish_ North @ 0.76208
4 Cyprian+East_Sicilian+HungaryGamba_BA+Iranian_Jew @ 0.763466
5 Cypriot+East_Sicilian+HungaryGamba_BA+Iranian_Jew @ 0.768879
6 Cyprian+French+Iranian_Jew+West_Sicilian @ 0.771401
7 East_Sicilian+Georgian+Lebanese_Christian+Spanish_ North @ 0.773863
8 Cypriot+Georgian+Spanish_North+Turkish_Jew @ 0.777317
9 Cypriot+East_Sicilian+English+Iraqi_Jew @ 0.778893
10 Abkhasian+Lebanese_Christian+South_Italian+Spanish _North @ 0.780762
11 Cypriot+HungaryGamba_BA+Iranian_Jew+South_Italian @ 0.787107
12 Bergamo+Hungarian+Iranian_Jew+Samaritan @ 0.787973
13 Assyrian+Cypriot+French+Sicilian @ 0.788231
14 Cypriot+East_Sicilian+English+Iraqi_Jewish @ 0.791278
15 French_South+Georgian+Lebanese_Christian+Sicilian @ 0.795676
16 Cypriot+French_South+Georgian+Turkish_Jew @ 0.803101
17 Abkhasian+Cypriot+French_South+Sephardic_Jewish @ 0.807004
18 Cypriot+Georgian+Sephardic_Jewish+Spanish_North @ 0.821934
19 Ashkenazi_Jew+Cypriot+HungaryGamba_BA+Iranian_Jew @ 0.824221
20 Abkhasian+Cypriot+Spanish_North+Turkish_Jew @ 0.824373
21 Chechen+Iraqi_Jew+Sardinian+Tuscan @ 0.82604
22 Abkhasian+East_Sicilian+Lebanese_Christian+Spanish _North @ 0.826471
23 East_Sicilian+French_South+Georgian+Lebanese_Chris tian @ 0.828106
24 Druze+Kurdish+LBK_EN+Ukrainian_Lviv @ 0.830309
25 Cypriot+French_South+Georgian+Sephardic_Jewish @ 0.838667
26 Cypriot+English+Iraqi_Jewish+South_Italian @ 0.83867
27 Kurdish+Lebanese_Christian+Stuttgart+Ukrainian_Lvi v @ 0.855802
28 Cyprian+French_South+Georgian+Sephardic_Jewish @ 0.856255
29 Assyrian+HungaryGamba_EN+Iraqi_Jewish+Russian @ 0.86095
30 Cyprian+Georgian+Sephardic_Jewish+Spanish_North @ 0.862681
31 Cypriot+HungaryGamba_BA+Iranian_Jewish+South_Itali an @ 0.864491
32 Cypriot+English+Iraqi_Jew+South_Italian @ 0.869339
33 Iranian_Jew+Samaritan+Tuscan+Utah_German @ 0.869451
34 Assyrian+Belarusian+Iranian_Jew+Stuttgart @ 0.876986
35 Assyrian+Iranian_Jew+Polish+Stuttgart @ 0.888719
36 Georgian+Lebanese_Christian+Sicilian+Spanish_North @ 0.889379
37 Assyrian+Belarusian+HungaryGamba_EN+Iraqi_Jewish @ 0.891504
38 Assyrian+Iraqi_Jewish+Russian+Stuttgart @ 0.897327
39 HungaryGamba_BA+Iranian_Jew+Lebanese_Christian+Wes t_Sicilian @ 0.901993
40 Assyrian+HungaryGamba_EN+Iraqi_Jew+Russian @ 0.905492
5587616 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 South_Italian @ 4.195402
2 West_Sicilian @ 4.597158
3 East_Sicilian @ 4.628471
4 Sicilian @ 4.791827
5 Turkish_Jew @ 4.889207
6 Sephardic_Jewish @ 5.026747
7 Ashkenazi_Jew @ 5.030876
8 Maltese @ 5.13234
9 Greek @ 5.568649
10 Moroccan_Jewish @ 6.786816
11 Tuscan @ 7.11673
12 Moroccan_Jew @ 7.133122
13 Cyprian @ 7.381357
14 Kosovar @ 7.439044
15 Cypriot @ 7.508147
16 Libyan_Jew @ 7.790866
17 Albanian @ 8.037119
18 Bergamo @ 8.540259
19 Turkish @ 9.148821
20 Bulgarian @ 9.446267
180 iterations.

Using 2 populations approximation:
1 Esperstedt_MN+Georgian @ 0.060526
2 Georgian+Spain_EN @ 0.167032
3 Georgian+Sardinian @ 1.143151
4 Georgian+Spain_MN @ 1.699602
5 Abkhasian+Esperstedt_MN @ 1.971851
6 Abkhasian+Spain_EN @ 2.261592
7 Georgian+Stuttgart @ 2.487265
8 Armenian+Bergamo @ 2.544705
9 Lezgin+Stuttgart @ 2.663669
10 Assyrian+Bergamo @ 2.6896
11 LBK_EN+Lezgin @ 2.729642
12 Abkhasian+Sardinian @ 2.736169
13 Georgian+LBK_EN @ 2.773559
14 Georgian+HungaryGamba_EN @ 2.840026
15 Bergamo+Iraqi_Jew @ 2.994666
16 Bergamo+Iranian_Jew @ 3.116036
17 Armenian+Tuscan @ 3.131584
18 HungaryGamba_EN+Lezgin @ 3.144504
19 Abkhasian+Spain_MN @ 3.149089
20 Iraqi_Jew+Kosovar @ 3.172611
16290 iterations.

Using 3 populations approximation:
1 50% Georgian +25% LBK_EN +25% Spain_MN @ 0.054376
2 50% Georgian +25% Spain_MN +25% Stuttgart @ 0.056609
3 50% Esperstedt_MN +25% Georgian +25% Georgian @ 0.060526
4 50% Georgian +25% LBK_EN +25% Spanish_North @ 0.061833
5 50% Georgian +25% Spanish_North +25% Stuttgart @ 0.06843
6 50% Georgian +25% Esperstedt_MN +25% Spain_EN @ 0.069444
7 50% Georgian +25% Spain_EN +25% Spain_MN @ 0.101249
8 50% Georgian +25% Basque +25% LBK_EN @ 0.101528
9 50% Georgian +25% Basque +25% Stuttgart @ 0.121872
10 50% Georgian +25% Esperstedt_MN +25% Stuttgart @ 0.161543
11 50% Georgian +25% Spain_EN +25% Spain_EN @ 0.167032
12 50% Georgian +25% Esperstedt_MN +25% Spain_MN @ 0.171224
13 50% Georgian +25% Esperstedt_MN +25% LBK_EN @ 0.190217
14 50% Georgian +25% Esperstedt_MN +25% Sardinian @ 0.207495
15 50% Armenian +25% HungaryGamba_BA +25% LBK_EN @ 0.21683
16 50% Armenian +25% HungaryGamba_BA +25% Stuttgart @ 0.223115
17 50% Georgian +25% HungaryGamba_EN +25% Spain_MN @ 0.259265
18 50% Georgian +25% French_South +25% LBK_EN @ 0.28158
19 50% Georgian +25% French_South +25% Stuttgart @ 0.304633
20 50% Georgian +25% Sardinian +25% Spain_EN @ 0.317771
2137560 iterations.

Using 4 populations approximation:
1 Georgian+Georgian+LBK_EN+Spain_MN @ 0.054376
2 Georgian+Georgian+Spain_MN+Stuttgart @ 0.056609
3 Esperstedt_MN+Esperstedt_MN+Georgian+Georgian @ 0.060526
4 Georgian+Georgian+LBK_EN+Spanish_North @ 0.061833
5 Georgian+Georgian+Spanish_North+Stuttgart @ 0.06843
6 Esperstedt_MN+Georgian+Georgian+Spain_EN @ 0.069444
7 Georgian+HungaryGamba_BA+Iranian_Jew+LBK_EN @ 0.100224
8 Georgian+Georgian+Spain_EN+Spain_MN @ 0.101249
9 Basque+Georgian+Georgian+LBK_EN @ 0.101528
10 Georgian+HungaryGamba_BA+Iranian_Jew+Stuttgart @ 0.105196
11 Basque+Georgian+Georgian+Stuttgart @ 0.121872
12 Assyrian+Georgian+HungaryGamba_BA+LBK_EN @ 0.141548
13 Assyrian+Georgian+HungaryGamba_BA+Stuttgart @ 0.147083
14 Armenian+Georgian+HungaryGamba_BA+LBK_EN @ 0.157269
15 Armenian+Georgian+HungaryGamba_BA+Stuttgart @ 0.160685
16 Esperstedt_MN+Georgian+Georgian+Stuttgart @ 0.161543
17 Georgian+Georgian+Spain_EN+Spain_EN @ 0.167032
18 Esperstedt_MN+Georgian+Georgian+Spain_MN @ 0.171224
19 Georgian+HungaryGamba_BA+Iraqi_Jew+LBK_EN @ 0.172474
20 Georgian+HungaryGamba_BA+Iraqi_Jew+Stuttgart @ 0.176927
21 Esperstedt_MN+Georgian+Georgian+LBK_EN @ 0.190217
22 Esperstedt_MN+Georgian+Georgian+Sardinian @ 0.207495
23 Armenian+Armenian+HungaryGamba_BA+LBK_EN @ 0.21683
24 Armenian+Armenian+HungaryGamba_BA+Stuttgart @ 0.223115
25 Armenian+Georgian+LBK_EN+Spanish_North @ 0.22492
26 Armenian+Georgian+Spanish_North+Stuttgart @ 0.253983
27 Georgian+Georgian+HungaryGamba_EN+Spain_MN @ 0.259265
28 Georgian+HungaryGamba_BA+Iranian_Jewish+LBK_EN @ 0.278621
29 French_South+Georgian+Georgian+LBK_EN @ 0.28158
30 Georgian+HungaryGamba_BA+Iranian_Jewish+Stuttgart @ 0.295283
31 French_South+Georgian+Georgian+Stuttgart @ 0.304633
32 Georgian+Georgian+Sardinian+Spain_EN @ 0.317771
33 Armenian+Bergamo+Esperstedt_MN+Georgian @ 0.337985
34 Bergamo+Esperstedt_MN+Georgian+Georgian @ 0.353676
35 Armenian+Esperstedt_MN+Georgian+Kosovar @ 0.360977
36 English+Georgian+Iranian_Jew+LBK_EN @ 0.363663
37 Georgian+HungaryGamba_BA+Iranian_Jew+Spain_EN @ 0.368349
38 Georgian+Georgian+Spain_EN+Spanish_North @ 0.368493
39 Georgian+Georgian+HungaryGamba_EN+Spanish_North @ 0.372871
40 Esperstedt_MN+Georgian+Georgian+Tuscan @ 0.376812
17409631 iterations.

regards
Adam

Tomenable
09-21-2016, 12:34 PM
I used R version 3.3.1 to run it:

29.36% Near_Eastern
0.00% East_Asian
0.05% Siberian
0.09% Oceanian
37.14% WHG-UHG
0.00% Sub-Saharan
3.32% Hindu_Kush
29.54% Steppe
0.50% Amerindian
0.00% Southeast_Asian

But I don't have 4 Ancestors Oracle.

Where did you guys get it from ???

Tomenable
09-21-2016, 01:27 PM
Ok, I found it (it is a bit off, because it sees me as a Czech):

Population data has been read. 180 populations found.
Personal data has been read. 20 approximations mode.
Person: Test1
Threshold of components set to 0,5%

Least-squares method.

Using 1 population approximation:
1 Czech @ 1,852706
2 Ukrainian_Lviv @ 3,797305
3 Ukrainian_Poltava @ 4,202667
4 Utah_German @ 4,712932
5 Hungarian @ 4,872053
6 Utah_Scandinavian @ 6,119147
7 Utah_USA @ 6,276021
8 Ukrainian_Kharkov @ 6,295541
9 Orcadian @ 6,392775
10 Utah_British @ 6,443461
11 Scottish @ 6,607535
12 Ukrainian_Belgorod @ 6,673569
13 English @ 6,841505
14 Icelandic @ 6,947883
15 Norwegian @ 7,110208
16 Alberstedt_LN @ 7,17376
17 Polish @ 7,588556
18 Belarusian @ 8,281611
19 Bosnian @ 8,883426
20 Serbian_Bosnia @ 9,024064
180 iterations.

Using 2 populations approximation:
1 Alberstedt_LN+Serbian_Bosnia @ 1,302357
2 Alberstedt_LN+Croatian @ 1,425368
3 Alberstedt_LN+Bosnian @ 1,548714
4 Alberstedt_LN+Hungarian @ 1,585818
5 Halberstadt_LBA+Serbian_Bosnia @ 1,782164
6 Czech+Czech @ 1,852706
7 Croatian+Halberstadt_LBA @ 1,896181
8 Bosnian+Halberstadt_LBA @ 2,006617
9 Ukrainian_Lviv+Utah_German @ 2,246481
10 Czech+Ukrainian_Lviv @ 2,329209
11 Hungarian+Ukrainian_Belgorod @ 2,397398
12 Hungarian+Ukrainian_Poltava @ 2,397907
13 Hungarian+Ukrainian_Lviv @ 2,410605
14 Hungarian+Polish @ 2,436805
15 Lithuanian+Romanian @ 2,496408
16 Ukrainian_Lviv+Utah_USA @ 2,498371
17 Hungarian+Ukrainian_Kharkov @ 2,505857
18 Ukrainian_Poltava+Utah_German @ 2,506196
19 Lithuanian+Serbian @ 2,532952
20 Czech+Ukrainian_Poltava @ 2,569293
16290 iterations.

Using 3 populations approximation:
1 50% Halberstadt_LBA +25% Corded_Ware_LN +25% Esperstedt_MN @ 0,476727
2 50% Halberstadt_LBA +25% Corded_Ware_LN +25% Sardinian @ 0,482259
3 50% BenzigerodeHeimburg_LN +25% Bergamo +25% HungaryGamba_BA @ 0,600303
4 50% Alberstedt_LN +25% Czech +25% Montenegrin @ 0,73399
5 50% Alberstedt_LN +25% Czech +25% Serbian @ 0,756658
6 50% Lithuanian +25% Greek +25% Orcadian @ 0,780602
7 50% Lithuanian +25% Greek +25% Scottish @ 0,831056
8 50% Polish +25% Halberstadt_LBA +25% Kosovar @ 0,857265
9 50% Alberstedt_LN +25% Hungarian +25% Serbian_Bosnia @ 0,860052
10 50% Utah_German +25% BenzigerodeHeimburg_LN +25% Serbian @ 0,874223
11 50% Alberstedt_LN +25% Croatian +25% Hungarian @ 0,879402
12 50% Bosnian +25% Lithuanian +25% Orcadian @ 0,923615
13 50% Utah_Scandinavian +25% BenzigerodeHeimburg_LN +25% Kosovar @ 0,925221
14 50% Halberstadt_LBA +25% Corded_Ware_LN +25% Spain_EN @ 0,970507
15 50% Alberstedt_LN +25% Bosnian +25% Hungarian @ 0,985774
16 50% Utah_German +25% BenzigerodeHeimburg_LN +25% Montenegrin @ 0,989374
17 50% Bosnian +25% Lithuanian +25% Scottish @ 0,997905
18 50% Bosnian +25% Halberstadt_LBA +25% Polish @ 1,019938
19 50% Czech +25% Alberstedt_LN +25% Bosnian @ 1,022222
20 50% Serbian_Bosnia +25% Alberstedt_LN +25% Halberstadt_LBA @ 1,032804
1100849 iterations.

Using 4 populations approximation:
1 Corded_Ware_LN+Esperstedt_MN+Halberstadt_LBA+Halbe rstadt_LBA @ 0,476727
2 Corded_Ware_LN+Halberstadt_LBA+Halberstadt_LBA+Sar dinian @ 0,482259
3 Alberstedt_LN+BenzigerodeHeimburg_LN+HungaryGamba_ BA+Macedonian @ 0,522243
4 BenzigerodeHeimburg_LN+BenzigerodeHeimburg_LN+Berg amo+HungaryGamba_BA @ 0,600303
5 Alberstedt_LN+Bell_Beaker_LN+Corded_Ware_LN+Espers tedt_MN @ 0,630855
6 Basque+Corded_Ware_LN+Icelandic+Montenegrin @ 0,649659
7 Alberstedt_LN+BenzigerodeHeimburg_LN+HungaryGamba_ BA+Romanian @ 0,694624
8 Alberstedt_LN+BenzigerodeHeimburg_LN+Bulgarian+Hun garyGamba_BA @ 0,69476
9 Basque+Corded_Ware_LN+Orcadian+Serbian @ 0,713223
10 Greek+Halberstadt_LBA+Lithuanian+Polish @ 0,716618
11 Basque+Corded_Ware_LN+Montenegrin+Norwegian @ 0,729546
12 Alberstedt_LN+Alberstedt_LN+Czech+Montenegrin @ 0,73399
13 Basque+Corded_Ware_LN+Icelandic+Serbian @ 0,736825
14 BenzigerodeHeimburg_LN+Icelandic+Macedonian+Utah_G erman @ 0,737233
15 Basque+Bosnian+Corded_Ware_LN+English @ 0,738703
16 BenzigerodeHeimburg_LN+Montenegrin+Orcadian+Utah_G erman @ 0,740684
17 Alberstedt_LN+Alberstedt_LN+Czech+Serbian @ 0,756658
18 BenzigerodeHeimburg_LN+English+Lithuanian+Tuscan @ 0,765627
19 Basque+Bosnian+Corded_Ware_LN+Utah_USA @ 0,774204
20 BenzigerodeHeimburg_LN+Montenegrin+Scottish+Utah_G erman @ 0,775967
21 Greek+Lithuanian+Lithuanian+Orcadian @ 0,780602
22 BenzigerodeHeimburg_LN+English+Macedonian+Utah_Sca ndinavian @ 0,785818
23 Basque+Corded_Ware_LN+Norwegian+Serbian @ 0,800625
24 Basque+Corded_Ware_LN+Scottish+Serbian @ 0,805626
25 BenzigerodeHeimburg_LN+Lithuanian+Tuscan+Utah_USA @ 0,808601
26 Alberstedt_LN+BenzigerodeHeimburg_LN+HungaryGamba_ BA+Montenegrin @ 0,811753
27 Bosnian+Halberstadt_LBA+Lithuanian+Montenegrin @ 0,814286
28 BenzigerodeHeimburg_LN+Lithuanian+Tuscan+Utah_Brit ish @ 0,817396
29 BenzigerodeHeimburg_LN+Lithuanian+Tuscan+Utah_Germ an @ 0,826955
30 Greek+Lithuanian+Lithuanian+Scottish @ 0,831056
31 BenzigerodeHeimburg_LN+Macedonian+Utah_Scandinavia n+Utah_USA @ 0,832452
32 Alberstedt_LN+Icelandic+Macedonian+Polish @ 0,843443
33 Basque+Corded_Ware_LN+English+Serbian_Bosnia @ 0,852808
34 Halberstadt_LBA+Kosovar+Polish+Polish @ 0,857265
35 Alberstedt_LN+Alberstedt_LN+Hungarian+Serbian_Bosn ia @ 0,860052
36 Bosnian+Halberstadt_LBA+Lithuanian+Serbian @ 0,865046
37 BenzigerodeHeimburg_LN+Macedonian+Utah_German+Utah _Scandinavian @ 0,866992
38 Alberstedt_LN+Bulgarian+Icelandic+Polish @ 0,869533
39 Halberstadt_LBA+Kosovar+Lithuanian+Ukrainian_Lviv @ 0,873244
40 BenzigerodeHeimburg_LN+Serbian+Utah_German+Utah_Ge rman @ 0,874223
2947469 iterations.

kikkk
09-23-2016, 12:25 AM
43.83% Near_Eastern
0.01% East_Asian
0.19% Siberian
0.66% Oceanian
25.71% WHG-UHG
7.56% Sub-Saharan
5.52% Hindu_Kush
14.86% Steppe
1.25% Amerindian
0.42% Southeast_Asian

Using 2 populations approximation:
1 Orcadian+Tunisian @ 3.431047
2 Czech+Tunisian @ 3.467597
3 Scottish+Tunisian @ 3.558784
4 Icelandic+Tunisian @ 3.639848
5 Tunisian+Utah_German @ 3.702785
6 Norwegian+Tunisian @ 3.718988
7 Tunisian+Utah_Scandinavian @ 3.757185
8 Alberstedt_LN+Tunisian @ 3.936294
9 Tunisian+Utah_British @ 3.946448
10 Tunisian+Utah_USA @ 4.095304
11 English+Tunisian @ 4.09782
12 Tunisian+Ukrainian_Lviv @ 4.099462
13 Tunisian+Ukrainian_Poltava @ 4.14178
14 Egyptian+Icelandic @ 4.367269
15 Egyptian+Utah_Scandinavian @ 4.43423
16 Halberstadt_LBA+Tunisian @ 4.468929
17 Hungarian+Tunisian @ 4.544291
18 Egyptian+Norwegian @ 4.635236
19 Tunisian+Ukrainian_Kharkov @ 4.708945
20 Tunisian+Ukrainian_Belgorod @ 4.757688
16290 iterations.

Using 3 populations approximation:
1 50% Icelandic +25% BedouinA +25% Moroccan @ 1.337649
2 50% Utah_Scandinavian +25% BedouinA +25% Moroccan @ 1.400872
3 50% Norwegian +25% BedouinA +25% Moroccan @ 1.593043
4 50% Orcadian +25% BedouinA +25% Moroccan @ 1.650233
5 50% Icelandic +25% Egyptian +25% Moroccan @ 1.672024
6 50% Icelandic +25% Moroccan +25% Palestinian @ 1.710847
7 50% Orcadian +25% Algerian +25% Libyan_Jew @ 1.729101
8 50% Icelandic +25% Algerian +25% Palestinian @ 1.755349
9 50% Utah_British +25% Algerian +25% Lebanese @ 1.802727
10 50% Utah_Scandinavian +25% Moroccan +25% Palestinian @ 1.804564
11 50% Norwegian +25% Moroccan +25% Palestinian @ 1.828457
12 50% Scottish +25% BedouinA +25% Moroccan @ 1.851173
13 50% Orcadian +25% Moroccan +25% Palestinian @ 1.852589
14 50% Utah_British +25% BedouinA +25% Moroccan @ 1.880941
15 50% Icelandic +25% Algerian +25% BedouinA @ 1.884686
16 50% Utah_British +25% Moroccan +25% Palestinian @ 1.89174
17 50% Norwegian +25% Egyptian +25% Moroccan @ 1.897017
18 50% Orcadian +25% Algerian +25% Palestinian @ 1.917578
19 50% Utah_British +25% Algerian +25% Jordanian @ 1.932802
20 50% Utah_British +25% Algerian +25% Palestinian @ 1.934885
1721111 iterations.

Using 4 populations approximation:
1 BedouinA+Moroccan+Utah_British+Utah_Scandinavian @ 1.158145
2 BedouinA+Moroccan+Orcadian+Utah_Scandinavian @ 1.190566
3 BedouinA+Icelandic+Moroccan+Utah_British @ 1.202727
4 BedouinA+Moroccan+Scottish+Utah_Scandinavian @ 1.269611
5 BedouinA+Icelandic+Moroccan+Utah_German @ 1.286938
6 BedouinA+Icelandic+Moroccan+Utah_Scandinavian @ 1.292013
7 BedouinA+Icelandic+Moroccan+Orcadian @ 1.323494
8 Algerian+Halberstadt_LBA+HungaryGamba_BA+Palestini an @ 1.328687
9 BedouinA+Icelandic+Icelandic+Moroccan @ 1.337649
10 BedouinA+Moroccan+Norwegian+Utah_Scandinavian @ 1.364778
11 BedouinA+Moroccan+Utah_German+Utah_Scandinavian @ 1.390353
12 BedouinA+Moroccan+Norwegian+Utah_British @ 1.393543
13 BedouinA+Moroccan+Utah_Scandinavian+Utah_Scandinav ian @ 1.400872
14 BedouinA+Icelandic+Moroccan+Scottish @ 1.409724
15 Moroccan+Palestinian+Utah_British+Utah_Scandinavia n @ 1.417277
16 Icelandic+Moroccan+Palestinian+Utah_British @ 1.426803
17 BedouinA+Halberstadt_LBA+HungaryGamba_BA+Moroccan @ 1.427468
18 BedouinA+French+Lithuanian+Moroccan @ 1.428164
19 BedouinA+Moroccan+Norwegian+Utah_German @ 1.431191
20 BedouinA+Halberstadt_LBA+Moroccan+Utah_German @ 1.441308
21 BedouinA+Icelandic+Moroccan+Norwegian @ 1.444352
22 BedouinA+English+Moroccan+Utah_Scandinavian @ 1.459325
23 BedouinA+Moroccan+Utah_Scandinavian+Utah_USA @ 1.460795
24 Algerian+Halberstadt_LBA+Hungarian+Libyan_Jew @ 1.463149
25 Algerian+Bell_Beaker_LN+Hungarian+Libyan_Jew @ 1.466534
26 BedouinA+Icelandic+Moroccan+Utah_USA @ 1.479757
27 Algerian+Icelandic+Palestinian+Utah_British @ 1.481703
28 BedouinA+Halberstadt_LBA+Moroccan+Utah_British @ 1.498661
29 BedouinA+Halberstadt_LBA+Moroccan+Utah_USA @ 1.498775
30 BedouinA+Moroccan+Norwegian+Orcadian @ 1.505623
31 Halberstadt_LBA+HungaryGamba_BA+Moroccan+Palestini an @ 1.529586
32 BedouinA+English+Icelandic+Moroccan @ 1.529925
33 BedouinA+English+Halberstadt_LBA+Moroccan @ 1.532442
34 Algerian+Bell_Beaker_LN+Bosnian+Moroccan_Jew @ 1.533397
35 Moroccan+Norwegian+Palestinian+Utah_British @ 1.537877
36 Algerian+HungaryGamba_BA+Lebanese+Utah_Scandinavia n @ 1.543561
37 Algerian+Bell_Beaker_LN+Hungarian+Moroccan_Jew @ 1.550659
38 Alberstedt_LN+BedouinA+HungaryGamba_BA+Moroccan @ 1.554555
39 Moroccan+Orcadian+Palestinian+Utah_Scandinavian @ 1.555269
40 Algerian+Halberstadt_LBA+HungaryGamba_BA+Jordanian @ 1.562619
7429000 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 Maltese @ 8.194731
2 Sicilian @ 9.360354
3 West_Sicilian @ 9.394358
4 Spanish @ 9.755902
5 East_Sicilian @ 10.263663
6 Ashkenazi_Jew @ 10.770659
7 Moroccan_Jewish @ 10.889475
8 Moroccan_Jew @ 11.166232
9 Turkish_Jew @ 11.275763
10 Sephardic_Jewish @ 11.725426
11 South_Italian @ 11.811886
12 Libyan_Jew @ 12.967484
13 Tuscan @ 14.038556
14 Utah_USA @ 17.160211
15 Albanian @ 17.261081
16 Utah_British @ 17.311635
17 Utah_German @ 17.576591
18 Utah_Scandinavian @ 18.68245
19 BenzigerodeHeimburg_LN @ 18.835791
20 Cypriot @ 19.011167
180 iterations.

Using 2 populations approximation:
1 Orcadian+Tunisian @ 3.703448
2 Halberstadt_LBA+Tunisian @ 3.839527
3 Icelandic+Tunisian @ 3.935689
4 Scottish+Tunisian @ 3.964635
5 English+Tunisian @ 4.102393
6 Tunisian+Utah_British @ 4.149116
7 Egyptian+HungaryGamba_BA @ 4.161214
8 BedouinA+HungaryGamba_BA @ 4.172932
9 Tunisian+Utah_German @ 4.18858
10 Alberstedt_LN+Tunisian @ 4.198141
11 Halberstadt_LBA+Moroccan @ 4.204253
12 Egyptian+Icelandic @ 4.236674
13 Tunisian+Utah_USA @ 4.237334
14 Norwegian+Tunisian @ 4.239358
15 Bell_Beaker_LN+Tunisian @ 4.289045
16 Egyptian+Orcadian @ 4.295721
17 Egyptian+Halberstadt_LBA @ 4.376596
18 Moroccan+Orcadian @ 4.382404
19 Egyptian+Utah_British @ 4.389929
20 Czech+Tunisian @ 4.412056
16290 iterations.

Using 3 populations approximation:
1 50% Orcadian +25% Libyan_Jew +25% Moroccan @ 2.431922
2 50% Orcadian +25% Moroccan +25% Moroccan_Jew @ 2.551853
3 50% Orcadian +25% Algerian +25% Libyan_Jew @ 2.681846
4 50% Orcadian +25% Moroccan +25% Moroccan_Jewish @ 2.730234
5 50% Orcadian +25% Libyan_Jew +25% Tunisian @ 2.745074
6 50% Orcadian +25% Algerian +25% Moroccan_Jew @ 2.779932
7 50% Halberstadt_LBA +25% Moroccan +25% Samaritan @ 2.805755
8 50% Orcadian +25% Moroccan_Jew +25% Tunisian @ 2.812892
9 50% Orcadian +25% Moroccan +25% Samaritan @ 2.813952
10 50% West_Sicilian +25% Halberstadt_LBA +25% Moroccan @ 2.851212
11 50% Orcadian +25% Moroccan +25% Turkish_Jew @ 2.853274
12 50% Halberstadt_LBA +25% Libyan_Jew +25% Moroccan @ 2.85625
13 50% English +25% Moroccan +25% Moroccan_Jew @ 2.878008
14 50% Icelandic +25% Libyan_Jew +25% Moroccan @ 2.879111
15 50% Orcadian +25% Algerian +25% South_Italian @ 2.883395
16 50% Orcadian +25% Algerian +25% Turkish_Jew @ 2.884327
17 50% Icelandic +25% Moroccan +25% Samaritan @ 2.890136
18 50% Utah_British +25% Libyan_Jew +25% Moroccan @ 2.894581
19 50% Halberstadt_LBA +25% Algerian +25% Samaritan @ 2.896377
20 50% Orcadian +25% Algerian +25% Moroccan_Jewish @ 2.906784
2352266 iterations.

Using 4 populations approximation:
1 Libyan_Jew+Moroccan+Orcadian+Orcadian @ 2.431922
2 Halberstadt_LBA+HungaryGamba_BA+Libyan_Jew+Morocca n @ 2.450006
3 BenzigerodeHeimburg_LN+Libyan_Jew+Moroccan+Spanish _North @ 2.467663
4 Halberstadt_LBA+HungaryGamba_BA+Moroccan+Samaritan @ 2.49769
5 BenzigerodeHeimburg_LN+Moroccan+Moroccan_Jew+Spani sh_North @ 2.510038
6 Halberstadt_LBA+HungaryGamba_BA+Moroccan+Moroccan_ Jew @ 2.537744
7 Moroccan+Moroccan_Jew+Orcadian+Orcadian @ 2.551853
8 Halberstadt_LBA+HungaryGamba_BA+Libyan_Jew+Tunisia n @ 2.556524
9 Halberstadt_LBA+Libyan_Jew+Moroccan+Orcadian @ 2.559855
10 Algerian+Halberstadt_LBA+HungaryGamba_BA+Samaritan @ 2.564435
11 BenzigerodeHeimburg_LN+HungaryGamba_BA+Moroccan+Sa maritan @ 2.587963
12 Halberstadt_LBA+HungaryGamba_BA+Moroccan_Jew+Tunis ian @ 2.597799
13 HungaryGamba_BA+Moroccan_Jew+Orcadian+Tunisian @ 2.607495
14 HungaryGamba_BA+Moroccan+Moroccan_Jew+Orcadian @ 2.608653
15 HungaryGamba_BA+Libyan_Jew+Moroccan+Orcadian @ 2.613541
16 Icelandic+Libyan_Jew+Moroccan+Orcadian @ 2.631286
17 Libyan_Jew+Moroccan+Orcadian+Utah_British @ 2.644567
18 English+Libyan_Jew+Moroccan+Orcadian @ 2.647137
19 English+Halberstadt_LBA+Libyan_Jew+Moroccan @ 2.648177
20 English+Moroccan+Moroccan_Jew+Orcadian @ 2.659248
21 HungaryGamba_BA+Libyan_Jew+Orcadian+Tunisian @ 2.660156
22 Algerian+Halberstadt_LBA+HungaryGamba_BA+Libyan_Je w @ 2.661469
23 BenzigerodeHeimburg_LN+Moroccan_Jew+Spanish_North+ Tunisian @ 2.661713
24 BenzigerodeHeimburg_LN+Libyan_Jew+Spanish_North+Tu nisian @ 2.664293
25 Algerian+Libyan_Jew+Orcadian+Orcadian @ 2.681846
26 BenzigerodeHeimburg_LN+HungaryGamba_BA+Libyan_Jew+ Moroccan @ 2.685603
27 Libyan_Jew+Moroccan+Orcadian+Utah_German @ 2.689838
28 Halberstadt_LBA+Libyan_Jew+Moroccan+Utah_British @ 2.690795
29 Libyan_Jew+Moroccan+Orcadian+Scottish @ 2.693428
30 Moroccan+Moroccan_Jew+Orcadian+Utah_British @ 2.717236
31 Halberstadt_LBA+Moroccan+Orcadian+Samaritan @ 2.722059
32 Moroccan+Moroccan_Jew+Orcadian+Utah_German @ 2.724563
33 Halberstadt_LBA+HungaryGamba_BA+Moroccan+Palestini an @ 2.726176
34 Halberstadt_LBA+Libyan_Jew+Moroccan+Utah_German @ 2.729216
35 Moroccan+Moroccan_Jewish+Orcadian+Orcadian @ 2.730234
36 Algerian+BenzigerodeHeimburg_LN+Libyan_Jew+Spanish _North @ 2.733862
37 Algerian+Halberstadt_LBA+HungaryGamba_BA+Moroccan_ Jew @ 2.736775
38 BenzigerodeHeimburg_LN+Moroccan+Moroccan_Jew+Spani sh @ 2.737435
39 Libyan_Jew+Moroccan+Orcadian+Utah_USA @ 2.739253
40 English+Halberstadt_LBA+Moroccan+Moroccan_Jew @ 2.741199
22128400 iterations.

khanabadoshi
09-23-2016, 01:39 AM
I've never run this calc. Maybe I'll run it and perhaps make a PCA if there is interest?

khanabadoshi
09-23-2016, 02:54 AM
Eurogenes Steppe K10














Region/Ethnicity

Member
Near Eastern
East Asian
Siberian
Oceanian
WHG-UHG
Sub-Saharan
Hindu Kush
Steppe
Amerindian
Southeast Asian


PAKISTAN
khanabadoshi (23andMe)

13.23%
1.84%
4.86%
3.62%
6.75%
0.04%
51.31%
9.38%
1.62%
7.35%


PAKISTAN
Brother
11.77%
2.16%
3.70%
3.24%
9.10%
0.54%
50.91%
11.03%
0.76%
6.80%


PAKISTAN
Sister
13.17%
3.15%
3.30%
3.70%
7.77%
0.28%
50.22%
10.99%
2.31%
5.12%


PAKISTAN - Chitrali + Uzbek
Grandmother (M) Brother
14.22%
9.36%
4.19%
2.42%
9.39%
0.06%
36.14%
15.95%
3.70%
5.57%


PAKISTAN - Chitrali + Uzbek
Grandmother (M) - .Balq
13.45%
6.50%
3.61%
1.95%
10.29%
0.02%
41.03%
16.18%
2.61%
4.36%


PAKISTAN - "Baloch" + Chitrali/Uzbek
mAunt - .Balq Daughter
10.88%
4.96%
3.15%
3.40%
7.81%
1.01%
48.64%
10.83%
2.55%
6.77%


PAKISTAN - "Baloch" + Manto Kashmiri
pUncle - .Jam
12.88%
3.41%
2.32%
3.88%
6.25%
1.40%
52.29%
11.27%
0.75%
5.53%


PAKISTAN - "Baloch" + Unknown
mGrandfather Sister - .Sadia
11.04%
4.56%
3.13%
4.01%
6.74%
1.68%
55.28%
7.33%
0.73%
5.51%


PAKISTAN - Baloch + Punjabi
2nd Cousin - Leghari
12.88%
3.00%
1.51%
3.02%
6.47%
1.25%
55.97%
7.87%
2.10%
5.93%


PAKISTAN - Multan
Multani - Syed/Durrani
12.08%
4.99%
1.31%
3.24%
8.67%
0.22%
51.81%
10.28%
1.97%
5.44%


PAKISTAN - Lahore
Lahori - Rajput/Kashmiri
9.04%
6.74%
3.14%
3.41%
8.33%
0.66%
51.48%
10.51%
1.64%
5.03%


PAKISTAN - FATA Pashtun
Mohmand
15.86%
4.41%
2.92%
2.30%
9.56%
0.16%
46.54%
14.30%
2.39%
1.56%


SAUDI BEDOUIN
Abdullah (FTDNA)
70.62%
1.42%
1.18%
0.70%
0.29%
7.34%
15.74%
0.72%
0.77%
1.21%


ASHKENAZI
Jewish Ashkenazi - Ross
53.59%
1.11%
0.87%
0.47%
17.49%
1.34%
12.38%
11.63%
0.90%
0.22%


CHECHEN
Tag Heuer (FTDNA)
32.04%
0.01%
3.27%
0.02%
6.84%
0.05%
29.93%
26.08%
0.53%
1.24%


UK - English + Irish
L1983 (23andMe)
32.81%
0.00%
1.04%
0.00%
35.64%
0.00%
6.81%
23.03%
0.66%
0.00%

E_M81_I3A
09-23-2016, 05:51 AM
My results:

46.45% Near_Eastern
25.47% WHG-UHG
11.43% Steppe
9.68% Sub-Saharan
5.78% Hindu_Kush
0.41% Amerindian
0.38% Southeast_Asian
0.21% Siberian
0.18% East_Asian
0.00% Oceanian

Helgenes50
09-23-2016, 06:09 AM
Mine

36.69% Near_Eastern
0.00% East_Asian
0.00% Siberian
0.00% Oceanian
37.71% WHG-UHG
0.60% Sub-Saharan
0.93% Hindu_Kush
23.14% Steppe
0.93% Amerindian
0.00% Southeast_Asian

My mother

35.18% Near_Eastern
0.00% East_Asian
0.01% Siberian
0.32% Oceanian
37.73% WHG-UHG
0.49% Sub-Saharan
2.45% Hindu_Kush
22.89% Steppe
0.92% Amerindian
0.00% Southeast_Asian

Mestace
09-23-2016, 02:10 PM
Mine
37.18% Near_Eastern
0.01% East_Asian
0.01% Siberian
0.01% Oceanian
37.45% WHG-UHG
0.10% Sub-Saharan
2.08% Hindu_Kush
23.17% Steppe
0.00% Amerindian
0.00% Southeast_Asian



Mother
35.51% Near_Eastern
0.05% East_Asian
0.49% Siberian
0.00% Oceanian
39.04% WHG-UHG
0.00% Sub-Saharan
1.54% Hindu_Kush
23.36% Steppe
0.00% Amerindian
0.00% Southeast_Asian



Father
39.59% Near_Eastern
0.00% East_Asian
0.00% Siberian
0.00% Oceanian
36.63% WHG-UHG
0.26% Sub-Saharan
0.72% Hindu_Kush
22.77% Steppe
0.02% Amerindian
0.00% Southeast_Asian

Helgenes50
09-23-2016, 02:57 PM
Mine
37.18% Near_Eastern
0.01% East_Asian
0.01% Siberian
0.01% Oceanian
37.45% WHG-UHG
0.10% Sub-Saharan
2.08% Hindu_Kush
23.17% Steppe
0.00% Amerindian
0.00% Southeast_Asian



Mother
35.51% Near_Eastern
0.05% East_Asian
0.49% Siberian
0.00% Oceanian
39.04% WHG-UHG
0.00% Sub-Saharan
1.54% Hindu_Kush
23.36% Steppe
0.00% Amerindian
0.00% Southeast_Asian



Father
39.59% Near_Eastern
0.00% East_Asian
0.00% Siberian
0.00% Oceanian
36.63% WHG-UHG
0.26% Sub-Saharan
0.72% Hindu_Kush
22.77% Steppe
0.02% Amerindian
0.00% Southeast_Asian

Our results are very close

Mestace
09-23-2016, 03:15 PM
Our results are very close

Yep but i wonder what is this Hindu Kush really, if it peaks Kalash, something similar to Iran_N ? (i think the calc predates the genome). My father never score this type of component i noticed, for some reasons my mother and i do a bit.

Helgenes50
09-23-2016, 03:47 PM
Yep but i wonder what is this Hindu Kush really, if it peaks Kalash, something similar to Iran_N ? (i think the calc predates the genome). My father never score this type of component i noticed, for some reasons my mother and i do a bit.

I don't know really, what is sure this calc predates the Iranians genomes
and my mother is always more Caucasian than me
Our Sub-Saharan is in this calculator present like in others with a good level of Ameriandian ( probably ANE)

Tomenable
09-23-2016, 05:32 PM
I have a very high % of Hindu Kush (6-7 times higher than Polish average from spreadsheet (https://docs.google.com/spreadsheets/d/1Hb0GVyrf2ztR_QvoIYcmhWtsYv0p39avjqM-G3-6Xew/edit#gid=1809893991)):




Admixture:
Tomenable:
Average of 11 Poles:


WHG-UHG
37.14
39.59


Steppe
29.54
33.87


Near Eastern
29.36
24.41


Hindu Kush
3.32
0.50


Oceanian
0.09
0.18


Siberian
0.05
0.62


East Asian
-
0.16


Amerindian
0.50
0.34


Southeast Asian
-
0.33


Sub-Saharan
-
-



Polish average includes 11 samples: 10H, 11H, 12H, 13H, 14H, 15H, 16H, 6H, 7H, 8H, 9H.

Tomenable
09-23-2016, 05:44 PM
% of Hindu Kush:

Pamiri Tajiks (n=8): 39.12 - 48.22 %
Armenians (n=27): 23.78 - 30.43 %

Abd.H
09-24-2016, 01:33 AM
My results [thanks to khanabadoshi for running them ]

54.39% Near_Eastern
0.35% East_Asian
0.06% Siberian
1.04% Oceanian
6.09% WHG-UHG
2.75% Sub-Saharan
22.58% Hindu_Kush
11.75% Steppe
0.03% Amerindian
0.98% Southeast_Asian


I have higher WHG-UHG than all of the 15 Syrian samples on the Spreadsheet

Abd.H
09-24-2016, 01:44 AM
53.05% Near_Eastern
0.01% East_Asian
0.71% Siberian
0.61% Oceanian
16.45% WHG-UHG
0.54% Sub-Saharan
14.73% Hindu_Kush
13.90% Steppe
0.00% Amerindian
0.00% Southeast_Asian


Interesting results
you have high Near_Eastern , nearly as much as I have

Abdullah
09-24-2016, 06:47 AM
Thanks to khanabadoshi

Mine

70.62% Near Eastern
1.42% East Asian
1.18% Siberian
0.70% Oceanian
0.29% WHG-UHG
7.34% Sub-Saharan
15.74% Hindu Kush
0.72% Steppe
0.77% Amerindian
1.21% Southeast Asian

SwampThing27
09-24-2016, 05:18 PM
Fiancee (British, German, French, Norwegian ancestry):

31.84% Near_Eastern
0.00% East_Asian
0.26% Siberian
0.06% Oceanian
41.00% WHG-UHG
0.00% Sub-Saharan
3.64% Hindu_Kush
22.95% Steppe
0.13% Amerindian
0.12% Southeast_Asian

Mine (British, German, French, Dutch ancestry):

32.56% Near_Eastern
0.00% East_Asian
0.05% Siberian
0.61% Oceanian
36.84% WHG-UHG
1.16% Sub-Saharan
4.18% Hindu_Kush
24.14% Steppe
0.46% Amerindian
0.00% Southeast_Asian

Sea Warrior
09-25-2016, 07:05 AM
I'm super late to the party, but none the less...

33.86% Near_Eastern
0.05% East_Asian
0.30% Siberian
0.01% Oceanian
37.67% WHG-UHG
0.00% Sub-Saharan
1.70% Hindu_Kush
25.63% Steppe
0.74% Amerindian
0.04% Southeast_Asian

anglesqueville
09-25-2016, 07:15 AM
dad

32.55% Near_Eastern
0.00% East_Asian
1.71% Siberian
0.35% Oceanian
40.27% WHG-UHG
0.00% Sub-Saharan
0.65% Hindu_Kush
23.44% Steppe
1.04% Amerindian
0.00% Southeast_Asian

mom

31.84% Near_Eastern
0.00% East_Asian
1.21% Siberian
0.18% Oceanian
40.73% WHG-UHG
0.00% Sub-Saharan
2.32% Hindu_Kush
23.27% Steppe
0.44% Amerindian
0.00% Southeast_Asian

Tomenable
09-25-2016, 01:28 PM
"Hindu Kush" might be something similar to "Kalash", "Baloch" and "Gedrosia" in other calculators.

================

I have results of one Iranian guy and one Kurdish guy in Steppe K10:




Admixture:
Iranian1
Kurd1


Near Eastern
44,37
44,35


Hindu Kush
34,81
35,31


Steppe
12,48
13,35


WHG-UHG
5,22
2,94


East Asian
2,17
0,36


Siberian
-
1,23


Amerindian
-
1,11


Sub Saharan
0,47
0,25


Oceanian
0,42
0,17


Southeast Asian
0,05
0,92



Here the same two + one other modern Iranian and two ancient Iranians in HarappaWorld:

On GEDmatch, Iran1400s (Medieval times) is T637158 and Iran Copper Age is M124870.




Admixture:
Iranian1
Iranian2
Kurd1
Iran1400s
IrnCopperAge


Caucasian
40,79
40,88
40,84
45,47
49,91


Baloch
27,95
29,33
27,86
26,89
37,82


SW-Asian
13,29
14,96
13,9
13,13
10,88


S-Indian
2,99
3,71
2,23
1,23
1,05


NE-Euro
4,3
4,75
3,92
7,27
-


Mediterranean
8,05
4,17
8,27
4,87
-


Siberian
0,96
0,22
1,08
0,65
-


SE-Asian
-
0,27
0,57
0,18
-


Beringian
-
0,26
-
0,12
-


NE-Asian
-
0,39
-
-
-


Papuan
0,28
0,92
0,36
-
-


American
0,67
-
0,98
-
-


W-African
-
-
-
0,2
0,33


San
0,63
-
-
-
-


E-African
0,07
0,14
-
-
-


Pygmy
-
-
-
-
-

Tomenable
09-25-2016, 02:05 PM
By the way:

Copper Age Iranian scores ~18% of "Afanasievo_Yamnaya" in Gedrosia Eurasia K14 Neolithic.

IIRC people on the forum claimed that he did not have any Steppe ancestry. So which is true?

He scores more Yamnaya than Medieval Iranian (~15%) and modern Iranians / Kurds (~10%).

CuriousChick
10-14-2016, 08:56 PM
Can someone also ran my results?

SWAHILLI_PRINCE16
10-14-2016, 09:31 PM
Do East Africans get their SSA at a low percentage on this followed by a Near Eastern component which is ancient from what ive read ,or is it just recent admixture I have that is being detected being that I'm a Swahili?


6.54% Near_Eastern
0.19% East_Asian
0.65% Siberian
0.97% Oceanian
0.01% WHG-UHG
88.40% Sub-Saharan
2.58% Hindu_Kush
0.00% Steppe
0.14% Amerindian
0.53% Southeast_Asian

Aldric
10-17-2016, 01:08 AM
33.15% Near_Eastern
0.00% East_Asian
0.55% Siberian
0.03% Oceanian
38.38% WHG-UHG
0.43% Sub-Saharan
3.04% Hindu_Kush
24.23% Steppe
0.18% Amerindian
0.00% Southeast_Asian

Least-squares method.

Using 1 population approximation:
1 Utah_USA @ 3.192352
2 English @ 3.295369
3 Utah_German @ 4.039779
4 Hungarian @ 4.645216
5 Utah_British @ 4.9023
6 HungaryGamba_BA @ 5.641877
7 French @ 5.981372
8 Czech @ 6.29372
9 Scottish @ 6.371389
10 Orcadian @ 6.611956
11 Croatian @ 7.928566
12 Serbian_Bosnia @ 7.932814
13 Bosnian @ 8.199903
14 Norwegian @ 8.567326
15 Utah_Scandinavian @ 8.830365
16 Icelandic @ 8.836389
17 Ukrainian_Lviv @ 9.865085
18 Ukrainian_Poltava @ 10.138842
19 Serbian @ 10.892069
20 Bell_Beaker_LN @ 11.919618
180 iterations.

Using 2 populations approximation:
1 Czech+French @ 0.982211
2 French+Utah_German @ 1.871069
3 English+Hungarian @ 2.08842
4 Hungarian+HungaryGamba_BA @ 2.127465
5 French+Ukrainian_Lviv @ 2.2572
6 French+Ukrainian_Poltava @ 2.333934
7 Belarusian+Spanish @ 2.387948
8 Hungarian+Utah_USA @ 2.40222
9 Bergamo+Lithuanian @ 2.410174
10 Russian+Spanish @ 2.534947
11 Bergamo+Estonian @ 2.537818
12 Bell_Beaker_LN+Montenegrin @ 2.558933
13 French+Hungarian @ 2.601567
14 French+Utah_Scandinavian @ 2.60496
15 French+Utah_USA @ 2.63576
16 Croatian+Scottish @ 2.662668
17 French+Utah_British @ 2.678492
18 Croatian+English @ 2.680487
19 English+Serbian_Bosnia @ 2.716736
20 French+Orcadian @ 2.773246
16290 iterations.

Using 3 populations approximation:
1 50% Scottish +25% HungaryGamba_BA +25% Macedonian @ 0.629024
2 50% Scottish +25% HungaryGamba_BA +25% Montenegrin @ 0.649913
3 50% Scottish +25% HungaryGamba_BA +25% Romanian @ 0.687481
4 50% Icelandic +25% HungaryGamba_BA +25% Kosovar @ 0.728087
5 50% Scottish +25% Bulgarian +25% HungaryGamba_BA @ 0.765411
6 50% Lithuanian +25% Spanish_North +25% West_Sicilian @ 0.781731
7 50% English +25% English +25% Serbian @ 0.782346
8 50% Orcadian +25% HungaryGamba_BA +25% Macedonian @ 0.795001
9 50% Lithuanian +25% French_South +25% West_Sicilian @ 0.796393
10 50% Norwegian +25% HungaryGamba_BA +25% Kosovar @ 0.800295
11 50% Orcadian +25% HungaryGamba_BA +25% Romanian @ 0.817182
12 50% Orcadian +25% Bulgarian +25% HungaryGamba_BA @ 0.871208
13 50% Alberstedt_LN +25% Esperstedt_MN +25% Ukrainian_Belgorod @ 0.882171
14 50% HungaryGamba_BA +25% Halberstadt_LBA +25% Romanian @ 0.88267
15 50% Utah_Scandinavian +25% Bergamo +25% English @ 0.886583
16 50% English +25% Serbian +25% Utah_USA @ 0.88759
17 50% Orcadian +25% HungaryGamba_BA +25% Montenegrin @ 0.890636
18 50% Utah_Scandinavian +25% Bergamo +25% Utah_USA @ 0.891448
19 50% HungaryGamba_BA +25% Bulgarian +25% Halberstadt_LBA @ 0.892927
20 50% Norwegian +25% Bergamo +25% Czech @ 0.90049
1078126 iterations.

Using 4 populations approximation:
1 HungaryGamba_BA+Macedonian+Norwegian+Scottish @ 0.608857
2 HungaryGamba_BA+Macedonian+Scottish+Scottish @ 0.629024
3 Bell_Beaker_LN+Bergamo+HungaryGamba_BA+Ukrainian_B elgorod @ 0.634018
4 Alberstedt_LN+French_South+Kosovar+Lithuanian @ 0.642189
5 HungaryGamba_BA+Montenegrin+Scottish+Scottish @ 0.649913
6 English+HungaryGamba_BA+Norwegian+Romanian @ 0.674971
7 Bergamo+French+Lithuanian+Scottish @ 0.675824
8 Alberstedt_LN+Kosovar+Lithuanian+Spanish_North @ 0.675847
9 HungaryGamba_BA+Romanian+Scottish+Scottish @ 0.687481
10 Alberstedt_LN+BenzigerodeHeimburg_LN+Norwegian+Spa in_EN @ 0.687492
11 HungaryGamba_BA+Macedonian+Orcadian+Scottish @ 0.699002
12 Croatian+English+French+Scottish @ 0.700691
13 English+HungaryGamba_BA+Icelandic+Romanian @ 0.702529
14 Bulgarian+HungaryGamba_BA+Norwegian+Scottish @ 0.703743
15 HungaryGamba_BA+Icelandic+Kosovar+Norwegian @ 0.71267
16 Alberstedt_LN+Macedonian+Polish+Spanish_North @ 0.712936
17 Albanian+Alberstedt_LN+Lithuanian+Spanish_North @ 0.723068
18 Alberstedt_LN+Bulgarian+Polish+Spanish_North @ 0.72396
19 HungaryGamba_BA+Icelandic+Icelandic+Kosovar @ 0.728087
20 BenzigerodeHeimburg_LN+Bergamo+Polish+Spanish_Nort h @ 0.730988
21 Alberstedt_LN+Estonian+Kosovar+Spanish_North @ 0.73472
22 HungaryGamba_BA+Macedonian+Norwegian+Orcadian @ 0.7359
23 Bell_Beaker_LN+HungaryGamba_BA+Kosovar+Utah_Scandi navian @ 0.735994
24 HungaryGamba_BA+Orcadian+Romanian+Scottish @ 0.738217
25 Bulgarian+HungaryGamba_BA+Icelandic+Scottish @ 0.741572
26 Alberstedt_LN+Bergamo+HungaryGamba_BA+Utah_Scandin avian @ 0.74322
27 HungaryGamba_BA+Icelandic+Macedonian+Scottish @ 0.744906
28 Alberstedt_LN+Polish+Romanian+Spanish_North @ 0.746355
29 Croatian+French+Scottish+Utah_USA @ 0.754158
30 Bergamo+French+Lithuanian+Orcadian @ 0.757096
31 English+HungaryGamba_BA+Scottish+Serbian @ 0.75773
32 HungaryGamba_BA+Macedonian+Norwegian+Utah_British @ 0.760952
33 HungaryGamba_BA+Montenegrin+Orcadian+Scottish @ 0.763259
34 Bulgarian+HungaryGamba_BA+Norwegian+Utah_British @ 0.763288
35 Bulgarian+HungaryGamba_BA+Scottish+Scottish @ 0.765411
36 Croatian+English+French+Orcadian @ 0.770455
37 Bergamo+Halberstadt_LBA+HungaryGamba_BA+Ukrainian_ Poltava @ 0.77153
38 English+French+Scottish+Serbian_Bosnia @ 0.775662
39 Alberstedt_LN+Bergamo+HungaryGamba_BA+Norwegian @ 0.776266
40 Bergamo+English+Polish+Scottish @ 0.776372
2905735 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 English @ 2.867373
2 Scottish @ 3.439844
3 Orcadian @ 3.636459
4 Utah_USA @ 3.643606
5 Icelandic @ 3.704669
6 Utah_German @ 3.912811
7 French @ 3.914166
8 Utah_British @ 3.95261
9 Czech @ 3.962305
10 Norwegian @ 4.043553
11 Hungarian @ 4.149045
12 Serbian_Bosnia @ 4.415883
13 Croatian @ 4.569805
14 Bosnian @ 4.577629
15 Utah_Scandinavian @ 4.578034
16 Alberstedt_LN @ 4.595526
17 Halberstadt_LBA @ 4.990131
18 Serbian @ 4.991613
19 Montenegrin @ 5.023973
20 Bell_Beaker_LN @ 5.049179
180 iterations.

Using 2 populations approximation:
1 HungaryGamba_BA+Scottish @ 2.165464
2 English+HungaryGamba_BA @ 2.340215
3 Alberstedt_LN+HungaryGamba_BA @ 2.410769
4 HungaryGamba_BA+Orcadian @ 2.44048
5 HungaryGamba_BA+Icelandic @ 2.501006
6 HungaryGamba_BA+Norwegian @ 2.645874
7 Halberstadt_LBA+HungaryGamba_BA @ 2.708645
8 English+English @ 2.867373
9 Bell_Beaker_LN+HungaryGamba_BA @ 2.910148
10 French+HungaryGamba_BA @ 2.988272
11 HungaryGamba_BA+Utah_USA @ 3.020003
12 Alberstedt_LN+Spanish_North @ 3.021154
13 Bosnian+HungaryGamba_BA @ 3.047132
14 English+Scottish @ 3.133608
15 French+Icelandic @ 3.189005
16 Bergamo+Lithuanian @ 3.190983
17 English+Icelandic @ 3.194298
18 English+French @ 3.255146
19 HungaryGamba_BA+Montenegrin @ 3.26279
20 BenzigerodeHeimburg_LN+Spain_MN @ 3.265433
16290 iterations.

Using 3 populations approximation:
1 50% Alberstedt_LN +25% Alberstedt_LN +25% Esperstedt_MN @ 2.005803
2 50% HungaryGamba_BA +25% Alberstedt_LN +25% Kosovar @ 2.060112
3 50% HungaryGamba_BA +25% Halberstadt_LBA +25% Kosovar @ 2.116727
4 50% Alberstedt_LN +25% Esperstedt_MN +25% HungaryGamba_BA @ 2.130326
5 50% Alberstedt_LN +25% HungaryGamba_BA +25% Spain_MN @ 2.144344
6 50% HungaryGamba_BA +25% Scottish +25% Scottish @ 2.165464
7 50% HungaryGamba_BA +25% Icelandic +25% Kosovar @ 2.168307
8 50% Alberstedt_LN +25% Esperstedt_MN +25% Icelandic @ 2.209727
9 50% HungaryGamba_BA +25% English +25% Scottish @ 2.211865
10 50% HungaryGamba_BA +25% Alberstedt_LN +25% English @ 2.232823
11 50% HungaryGamba_BA +25% Alberstedt_LN +25% Bergamo @ 2.235586
12 50% HungaryGamba_BA +25% Alberstedt_LN +25% Scottish @ 2.235774
13 50% Alberstedt_LN +25% Alberstedt_LN +25% Spain_MN @ 2.245001
14 50% HungaryGamba_BA +25% Orcadian +25% Scottish @ 2.280467
15 50% HungaryGamba_BA +25% Alberstedt_LN +25% Macedonian @ 2.282282
16 50% HungaryGamba_BA +25% Icelandic +25% Scottish @ 2.291734
17 50% HungaryGamba_BA +25% Kosovar +25% Scottish @ 2.294389
18 50% HungaryGamba_BA +25% Bell_Beaker_LN +25% HungaryGamba_BA @ 2.300787
19 50% Alberstedt_LN +25% Esperstedt_MN +25% Lithuanian @ 2.308066
20 50% HungaryGamba_BA +25% Alberstedt_LN +25% French @ 2.324479
1896697 iterations.

Using 4 populations approximation:
1 Alberstedt_LN+Alberstedt_LN+Alberstedt_LN+Esperste dt_MN @ 2.005803
2 Alberstedt_LN+HungaryGamba_BA+HungaryGamba_BA+Koso var @ 2.060112
3 Halberstadt_LBA+HungaryGamba_BA+HungaryGamba_BA+Ko sovar @ 2.116727
4 Alberstedt_LN+Alberstedt_LN+Esperstedt_MN+HungaryG amba_BA @ 2.130326
5 Alberstedt_LN+Alberstedt_LN+HungaryGamba_BA+Spain_ MN @ 2.144344
6 HungaryGamba_BA+HungaryGamba_BA+Scottish+Scottish @ 2.165464
7 HungaryGamba_BA+HungaryGamba_BA+Icelandic+Kosovar @ 2.168307
8 Alberstedt_LN+Alberstedt_LN+Esperstedt_MN+Icelandi c @ 2.209727
9 English+HungaryGamba_BA+HungaryGamba_BA+Scottish @ 2.211865
10 Alberstedt_LN+English+HungaryGamba_BA+HungaryGamba _BA @ 2.232823
11 Alberstedt_LN+Bergamo+HungaryGamba_BA+HungaryGamba _BA @ 2.235586
12 Alberstedt_LN+HungaryGamba_BA+HungaryGamba_BA+Scot tish @ 2.235774
13 Alberstedt_LN+Alberstedt_LN+Alberstedt_LN+Spain_MN @ 2.245001
14 HungaryGamba_BA+HungaryGamba_BA+Orcadian+Scottish @ 2.280467
15 Alberstedt_LN+HungaryGamba_BA+HungaryGamba_BA+Mace donian @ 2.282282
16 HungaryGamba_BA+HungaryGamba_BA+Icelandic+Scottish @ 2.291734
17 HungaryGamba_BA+HungaryGamba_BA+Kosovar+Scottish @ 2.294389
18 Bell_Beaker_LN+HungaryGamba_BA+HungaryGamba_BA+Hun garyGamba_BA @ 2.300787
19 Alberstedt_LN+Alberstedt_LN+Esperstedt_MN+Lithuani an @ 2.308066
20 Alberstedt_LN+French+HungaryGamba_BA+HungaryGamba_ BA @ 2.324479
21 Alberstedt_LN+Alberstedt_LN+HungaryGamba_BA+Spanis h_North @ 2.327892
22 Halberstadt_LBA+HungaryGamba_BA+HungaryGamba_BA+Mo ntenegrin @ 2.332098
23 HungaryGamba_BA+HungaryGamba_BA+Kosovar+Norwegian @ 2.333367
24 English+English+HungaryGamba_BA+HungaryGamba_BA @ 2.340215
25 Alberstedt_LN+Alberstedt_LN+Esperstedt_MN+Scottish @ 2.34726
26 Alberstedt_LN+HungaryGamba_BA+HungaryGamba_BA+Mont enegrin @ 2.350493
27 Halberstadt_LBA+HungaryGamba_BA+HungaryGamba_BA+Sc ottish @ 2.35436
28 Alberstedt_LN+Alberstedt_LN+Esperstedt_MN+Norwegia n @ 2.357086
29 English+Halberstadt_LBA+HungaryGamba_BA+HungaryGam ba_BA @ 2.367738
30 Halberstadt_LBA+HungaryGamba_BA+HungaryGamba_BA+Ma cedonian @ 2.368376
31 Bell_Beaker_LN+HungaryGamba_BA+HungaryGamba_BA+Kos ovar @ 2.368873
32 English+HungaryGamba_BA+HungaryGamba_BA+Orcadian @ 2.379899
33 English+HungaryGamba_BA+HungaryGamba_BA+Icelandic @ 2.384142
34 Alberstedt_LN+Alberstedt_LN+Esperstedt_MN+Polish @ 2.387187
35 HungaryGamba_BA+HungaryGamba_BA+Kosovar+Orcadian @ 2.387807
36 HungaryGamba_BA+HungaryGamba_BA+Icelandic+Macedoni an @ 2.389457
37 Halberstadt_LBA+HungaryGamba_BA+HungaryGamba_BA+Hu ngaryGamba_BA @ 2.399901
38 HungaryGamba_BA+HungaryGamba_BA+Norwegian+Scottish @ 2.401024
39 HungaryGamba_BA+HungaryGamba_BA+Macedonian+Scottis h @ 2.405006
40 Bergamo+Halberstadt_LBA+HungaryGamba_BA+HungaryGam ba_BA @ 2.405133

CuriousChick
10-21-2016, 08:08 PM
khanabadoshi did it for me:


FINAL ADMIXTURE PROPORTIONS:
----------------------------

46.50% Near_Eastern
19.26% Hindu_Kush
15.62% Steppe
7.60% WHG-UHG
5.26% Siberian
2.57% East_Asian
1.26% Oceanian
1.24% Southeast_Asian
0.67% Sub-Saharan
0.00% Amerindian

Tsakhur
11-09-2016, 05:12 PM
43.83% Near_Eastern
0.01% East_Asian
0.19% Siberian
0.66% Oceanian
25.71% WHG-UHG
7.56% Sub-Saharan
5.52% Hindu_Kush
14.86% Steppe
1.25% Amerindian
0.42% Southeast_Asian


From all Tunisian and Maghrebi results that I have seen, I have to say your results are one of the most unique, remarkably astonishing results that I have ever seen besides Darko!! :biggrin1: :thumb:

I found this Moroccan sample from Steppe K10 that is a lot closer to you than other North Africans in terms of SSA amounts and similar amounts of Hindu Kush. His/her result is "Moroccan 4H" from this Steppe K10 (https://docs.google.com/spreadsheets/d/1Hb0GVyrf2ztR_QvoIYcmhWtsYv0p39avjqM-G3-6Xew/edit?pli=1#gid=1809893991)

Moroccan individual (#4H)


Near_Eastern 59.04%
WHG-UHG 15.41%
Sub-Saharan 9.75%
Hindu_Kush 7.94%
Steppe 4.22%
East_Asian 2.48%
Oceanian 1.16%

Overall besides the more similar amounts of SSA and Hindu Kush, your results still seem distinct from him/her in that you seem to be very European-shifted as seen by the much lower Near Eastern, much higher WHG-UHG and Steppe. I wonder what populations will this Moroccan individual will be closest to in terms of population approximation. Also would you say this Moroccan has recent foreign ancestors?

olive picker
11-09-2016, 06:47 PM
44.61% Near_Eastern
0.02% East_Asian
0.19% Siberian
1.09% Oceanian
28.66% WHG-UHG
0.23% Sub-Saharan
4.78% Hindu_Kush
20.11% Steppe
0.14% Amerindian
0.16% Southeast_Asian

Oracle not working for me, would appreciate if someone ran it for me

Tsakhur
11-09-2016, 09:23 PM
My results:

46.45% Near_Eastern
25.47% WHG-UHG
11.43% Steppe
9.68% Sub-Saharan
5.78% Hindu_Kush
0.41% Amerindian
0.38% Southeast_Asian
0.21% Siberian
0.18% East_Asian
0.00% Oceanian

I found this Moroccan sample from Steppe K10 that is a lot closer to you than other North Africans in terms of SSA amounts and similar amounts of Hindu Kush. His/her result is "Moroccan 4H" from this Steppe K10 (https://docs.google.com/spreadsheets/d/1Hb0GVyrf2ztR_QvoIYcmhWtsYv0p39avjqM-G3-6Xew/edit?pli=1#gid=1809893991)

Moroccan individual (#4H)


Near_Eastern 59.04%
WHG-UHG 15.41%
Sub-Saharan 9.75%
Hindu_Kush 7.94%
Steppe 4.22%
East_Asian 2.48%
Oceanian 1.16%


Overall besides the more similar amounts of SSA and Hindu Kush, your results still seem distinct from him/her in that you seem to be very European-shifted as seen by the much lower Near Eastern, much higher WHG-UHG and Steppe. I wonder what populations will this Moroccan individual will be closest to in terms of population approximation. Would you say this Moroccan has recent foreign admix?

jortita
11-28-2016, 11:49 AM
My Ancestry DNA Results

10 ancestral populations
101647 total SNPs
2 flipped SNPs
23022 heterozygous SNPs
0 no-calls
35460 absent SNPs
0.651146 genotype rate
mode genomewide

35460 SNPs missing (no-call or absent)


5279 total iterations
9.994E-08 final dQ

----------------------------
FINAL ADMIXTURE PROPORTIONS:
----------------------------

5.69% Near_Eastern
14.88% East_Asian
2.14% Siberian
6.75% Oceanian
4.54% WHG-UHG
1.24% Sub-Saharan
44.50% Hindu_Kush
4.01% Steppe
0.33% Amerindian
15.93% Southeast_Asian

CPU time = 51.12 sec

10 components mode.
Population data has been read. 180 populations found.
Personal data has been read. 20 approximations mode.
Person: Test1
Threshold of components set to 0.5%


Least-squares method.

Using 1 population approximation:
1 Afghan_Uzbeki @ 20.874202
2 Afghan_Tadjik @ 21.087954
3 Afghan_Pashtun @ 22.086162
4 Burusho @ 23.39583
5 Pathan @ 25.108148
6 Tadjik @ 25.797388
7 Tajik_Pomiri @ 26.97065
8 Ust_Ishim @ 27.608673
9 GujaratiA @ 28.417666
10 Balochi @ 32.259488
11 Turkmen @ 32.489304
12 Afghan_Turkmen @ 32.836726
13 Uzbek @ 33.005951
14 Brahui @ 33.811622
15 Uygur @ 34.353248
16 Kalash @ 37.538186
17 Kostenki14 @ 39.156487
18 Iranian @ 43.8096
19 Nogai @ 44.588679
20 Kumyk @ 46.977134
180 iterations.

Using 2 populations approximation:
1 Brahui+Burmese @ 12.505086
2 Balochi+Burmese @ 12.802773
3 GujaratiA+Uygur @ 13.34241
4 Burusho+Ust_Ishim @ 13.491376
5 Burmese+Kalash @ 13.722576
6 Burmese+GujaratiA @ 14.198386
7 Burmese+Pathan @ 14.878108
8 Brahui+Thai @ 15.13608
9 Balochi+Thai @ 15.318082
10 Burusho+Uygur @ 15.48367
11 Pathan+Ust_Ishim @ 15.527835
12 Brahui+Uygur @ 15.552016
13 Kalash+Thai @ 15.559746
14 Kalash+Uygur @ 15.646482
15 Pathan+Uygur @ 15.726514
16 Balochi+Uygur @ 15.781439
17 GujaratiA+Uzbek @ 16.204023
18 Balochi+Ust_Ishim @ 16.318175
19 Afghan_Tadjik+Burusho @ 16.578815
20 Burusho+Uzbek @ 16.724458
16290 iterations.

Using 3 populations approximation:
1 50% Balochi +25% Burmese +25% Ust_Ishim @ 5.800217
2 50% Burusho +25% Afghan_Uzbeki +25% Thai @ 5.97229
3 50% Burusho +25% Afghan_Tadjik +25% Thai @ 5.994143
4 50% Brahui +25% Burmese +25% Ust_Ishim @ 6.122045
5 50% Burusho +25% Afghan_Pashtun +25% Thai @ 6.184568
6 50% Pathan +25% Burusho +25% Lahu @ 6.292551
7 50% Burusho +25% Afghan_Uzbeki +25% Cambodian @ 6.575739
8 50% Burusho +25% Afghan_Pashtun +25% Kinh @ 6.580951
9 50% GujaratiA +25% Afghan_Uzbeki +25% Lahu @ 6.593251
10 50% Pathan +25% Lahu +25% Pathan @ 6.659026
11 50% GujaratiA +25% Afghan_Tadjik +25% Lahu @ 6.660886
12 50% GujaratiA +25% Afghan_Pashtun +25% Miao @ 6.680577
13 50% GujaratiA +25% Afghan_Pashtun +25% Lahu @ 6.743751
14 50% Brahui +25% Miao +25% Ust_Ishim @ 6.746344
15 50% Burusho +25% Afghan_Tadjik +25% Cambodian @ 6.749498
16 50% Pathan +25% Burusho +25% Kinh @ 6.755777
17 50% GujaratiA +25% Afghan_Tadjik +25% Burmese @ 6.75679
18 50% Burusho +25% Tadjik +25% Thai @ 6.757851
19 50% Brahui +25% Han +25% Ust_Ishim @ 6.794103
20 50% GujaratiA +25% Afghan_Pashtun +25% Han @ 6.809435
1490871 iterations.

Using 4 populations approximation:
1 Brahui+Burmese+Pathan+Ust_Ishim @ 5.674495
2 Balochi+Burmese+Pathan+Ust_Ishim @ 5.755584
3 Balochi+Burmese+GujaratiA+Ust_Ishim @ 5.79819
4 Balochi+Balochi+Burmese+Ust_Ishim @ 5.800217
5 Brahui+Burmese+GujaratiA+Ust_Ishim @ 5.911012
6 Balochi+Brahui+Burmese+Ust_Ishim @ 5.931162
7 Balochi+Burmese+Burusho+Ust_Ishim @ 5.962096
8 Brahui+Burmese+Burusho+Ust_Ishim @ 5.971926
9 Afghan_Uzbeki+Burusho+Burusho+Thai @ 5.97229
10 Afghan_Tadjik+Burusho+Burusho+Thai @ 5.994143
11 Afghan_Pashtun+Brahui+Burusho+Lahu @ 6.047496
12 Afghan_Pashtun+Balochi+Burusho+Lahu @ 6.067061
13 Balochi+Burmese+Kalash+Ust_Ishim @ 6.086648
14 Brahui+Brahui+Burmese+Ust_Ishim @ 6.122045
15 Afghan_Tadjik+Brahui+GujaratiA+Lahu @ 6.127482
16 Afghan_Pashtun+Burusho+Burusho+Thai @ 6.184568
17 Afghan_Tadjik+Brahui+Burusho+Thai @ 6.205075
18 Afghan_Tadjik+Balochi+Burusho+Thai @ 6.211128
19 Afghan_Pashtun+Balochi+GujaratiA+Lahu @ 6.221423
20 Afghan_Pashtun+Balochi+Burusho+Kinh @ 6.237941
21 Afghan_Pashtun+Brahui+Burusho+Kinh @ 6.247103
22 Afghan_Pashtun+Burusho+GujaratiA+Lahu @ 6.255636
23 Afghan_Tadjik+Balochi+GujaratiA+Lahu @ 6.259041
24 Afghan_Uzbeki+Brahui+GujaratiA+Lahu @ 6.265666
25 Afghan_Uzbeki+Balochi+Burusho+Thai @ 6.285707
26 Afghan_Uzbeki+Burusho+GujaratiA+Thai @ 6.286287
27 Burusho+Lahu+Pathan+Pathan @ 6.292551
28 Afghan_Pashtun+Brahui+GujaratiA+Lahu @ 6.298637
29 Afghan_Uzbeki+Brahui+Burusho+Thai @ 6.328561
30 Afghan_Uzbeki+Balochi+GujaratiA+Lahu @ 6.346054
31 Afghan_Tadjik+Burusho+GujaratiA+Thai @ 6.370138
32 Brahui+Burmese+Kalash+Ust_Ishim @ 6.377088
33 Brahui+Kalash+Thai+Uygur @ 6.436397
34 Afghan_Uzbeki+Burusho+Pathan+Thai @ 6.445436
35 Balochi+Kalash+Miao+Ust_Ishim @ 6.498159
36 Afghan_Tadjik+Brahui+Burusho+Kinh @ 6.550368
37 Balochi+Kalash+Thai+Uygur @ 6.55046
38 Brahui+Kalash+Miao+Ust_Ishim @ 6.558826
39 Balochi+Han+Kalash+Ust_Ishim @ 6.565246
40 Afghan_Tadjik+Burusho+Pathan+Thai @ 6.570977
4852919 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 Burusho @ 17.655129
2 Afghan_Tadjik @ 19.943591
3 Afghan_Uzbeki @ 21.78842
4 Afghan_Pashtun @ 22.052493
5 Uygur @ 24.444991
6 Ust_Ishim @ 24.450561
7 Pathan @ 24.901551
8 Uzbek @ 28.336136
9 Tadjik @ 28.80553
10 Turkmen @ 29.573607
11 Balochi @ 34.588987
12 Kalash @ 36.819345
13 Thai @ 37.215113
14 Brahui @ 38.584631
15 Nogai @ 39.593837
16 Burmese @ 40.232157
17 Tajik_Pomiri @ 41.020346
18 Kyrgyz @ 41.297631
19 Iranian @ 41.805209
20 Malay @ 41.997592
180 iterations.

Using 2 populations approximation:
1 Balochi+Burmese @ 9.763582
2 Burmese+Pathan @ 10.274165
3 Balochi+Thai @ 10.830043
4 Brahui+Burmese @ 11.1677
5 Pathan+Thai @ 11.308147
6 Balochi+Cambodian @ 11.653775
7 Cambodian+Pathan @ 12.063678
8 Brahui+Thai @ 12.345235
9 Burusho+Ust_Ishim @ 12.607196
10 Balochi+Malay @ 12.659996
11 Afghan_Pashtun+Burmese @ 12.690979
12 Burmese+GujaratiA @ 12.87474
13 GujaratiA+Thai @ 12.938632
14 Malay+Pathan @ 12.959448
15 Brahui+Cambodian @ 13.075212
16 Afghan_Pashtun+Thai @ 13.189729
17 Burusho+Thai @ 13.348465
18 Afghan_Uzbeki+Ust_Ishim @ 13.486396
19 Balochi+Lahu @ 13.560639
20 Afghan_Pashtun+Cambodian @ 13.622681
16290 iterations.

Using 3 populations approximation:
1 50% Pathan +25% Burmese +25% Ust_Ishim @ 7.827021
2 50% Balochi +25% Burmese +25% Ust_Ishim @ 8.094176
3 50% Balochi +25% Miao +25% Ust_Ishim @ 8.170374
4 50% Balochi +25% Han +25% Ust_Ishim @ 8.20189
5 50% Balochi +25% She +25% Ust_Ishim @ 8.202434
6 50% Balochi +25% Lahu +25% Ust_Ishim @ 8.208152
7 50% Pathan +25% Miao +25% Ust_Ishim @ 8.273711
8 50% Pathan +25% She +25% Ust_Ishim @ 8.295944
9 50% GujaratiA +25% Balochi +25% Lahu @ 8.306314
10 50% Pathan +25% Han +25% Ust_Ishim @ 8.309479
11 50% Balochi +25% Tujia +25% Ust_Ishim @ 8.312429
12 50% Pathan +25% Lahu +25% Ust_Ishim @ 8.353668
13 50% Pathan +25% Tujia +25% Ust_Ishim @ 8.379819
14 50% Burusho +25% Balochi +25% Thai @ 8.430516
15 50% GujaratiA +25% Balochi +25% Burmese @ 8.441387
16 50% Burusho +25% Afghan_Uzbeki +25% Malay @ 8.493611
17 50% GujaratiA +25% Brahui +25% Lahu @ 8.510175
18 50% Balochi +25% Kinh +25% Ust_Ishim @ 8.512681
19 50% Burusho +25% Afghan_Tadjik +25% Malay @ 8.535332
20 50% GujaratiA +25% Balochi +25% Miao @ 8.577303
2915910 iterations.

Using 4 populations approximation:
1 Balochi+Burmese+Pathan+Ust_Ishim @ 7.437659
2 Brahui+Burmese+Pathan+Ust_Ishim @ 7.52062
3 Balochi+Miao+Pathan+Ust_Ishim @ 7.713454
4 Balochi+Pathan+She+Ust_Ishim @ 7.742278
5 Balochi+Han+Pathan+Ust_Ishim @ 7.75305
6 Brahui+Miao+Pathan+Ust_Ishim @ 7.767402
7 Balochi+Lahu+Pathan+Ust_Ishim @ 7.778387
8 Brahui+Pathan+She+Ust_Ishim @ 7.795065
9 Brahui+Han+Pathan+Ust_Ishim @ 7.797937
10 Burmese+Pathan+Pathan+Ust_Ishim @ 7.827021
11 Brahui+Lahu+Pathan+Ust_Ishim @ 7.843918
12 Balochi+Pathan+Tujia+Ust_Ishim @ 7.845396
13 Balochi+Burmese+Burusho+Ust_Ishim @ 7.847291
14 Brahui+Pathan+Tujia+Ust_Ishim @ 7.892632
15 Balochi+Burmese+GujaratiA+Ust_Ishim @ 7.993533
16 Burmese+Kalash+Pathan+Ust_Ishim @ 8.037722
17 Burmese+Burusho+Pathan+Ust_Ishim @ 8.038863
18 Balochi+Burmese+Kalash+Ust_Ishim @ 8.046873
19 Balochi+Kalash+Miao+Ust_Ishim @ 8.052183
20 Burmese+GujaratiA+Pathan+Ust_Ishim @ 8.052558
21 Balochi+Burusho+Lahu+Ust_Ishim @ 8.059317
22 Balochi+Kalash+Lahu+Ust_Ishim @ 8.061606
23 Afghan_Pashtun+Brahui+Burmese+Ust_Ishim @ 8.062209
24 Afghan_Pashtun+Burmese+Kalash+Ust_Ishim @ 8.074394
25 Balochi+Han+Kalash+Ust_Ishim @ 8.083337
26 Balochi+Kalash+She+Ust_Ishim @ 8.087997
27 Balochi+Balochi+Burmese+Ust_Ishim @ 8.094176
28 Balochi+GujaratiA+Miao+Ust_Ishim @ 8.117179
29 Balochi+GujaratiA+She+Ust_Ishim @ 8.128373
30 Balochi+Kinh+Pathan+Ust_Ishim @ 8.134992
31 Balochi+GujaratiA+Han+Ust_Ishim @ 8.143555
32 Balochi+Burusho+Thai+Ust_Ishim @ 8.153113
33 Afghan_Pashtun+Balochi+Burmese+Ust_Ishim @ 8.154397
34 Balochi+Balochi+Miao+Ust_Ishim @ 8.170374
35 Balochi+GujaratiA+Tujia+Ust_Ishim @ 8.189175
36 Brahui+Kinh+Pathan+Ust_Ishim @ 8.199672
37 Balochi+Burusho+Kinh+Ust_Ishim @ 8.201851
38 Balochi+Balochi+Han+Ust_Ishim @ 8.20189
39 Balochi+Balochi+She+Ust_Ishim @ 8.202434
40 Balochi+Kalash+Tujia+Ust_Ishim @ 8.20325
45212895 iterations.

Dibran
05-07-2017, 04:26 PM
How do i find this calculator?

Dibran
05-07-2017, 05:09 PM
Could someone run me/my fathers kit through as I cant find/do not know how to run the k10. My Kit#M635564. My fathers Kit# is M504390.

felipesc25
01-02-2018, 10:05 AM
37.39% Near_Eastern
0.04% East_Asian
0.17% Siberian
0.15% Oceanian
26.95% WHG-UHG
0.46% Sub-Saharan
5.48% Hindu_Kush
16.71% Steppe
12.65% Amerindian
0.00% Southeast_Asian
Overextimated native but well, i scored similar with northeastern italians

michal3141
01-02-2018, 11:11 AM
My results (AncestryDNA), (genotype rate: 0.651883):


27.17% Near_Eastern
0.02% East_Asian
2.03% Siberian
0.00% Oceanian
36.53% WHG-UHG
0.00% Sub-Saharan
1.89% Hindu_Kush
31.16% Steppe
1.20% Amerindian
0.00% Southeast_Asian

kush
01-04-2018, 06:27 AM
Lol pretty much 0% steppe. No aryan genes :(

3.08% Near_Eastern
6.16% East_Asian
0.02% Siberian
6.71% Oceanian
5.20% WHG-UHG
1.85% Sub-Saharan
62.89% Hindu_Kush
0.01% Steppe
0.99% Amerindian
13.09% Southeast_Asian

Least-squares method.

Using 1 population approximation:
1 Burusho @ 12.645184
2 GujaratiA @ 12.860832
3 Pathan @ 15.580343
4 Balochi @ 18.296405
5 Brahui @ 18.680517
6 Kalash @ 20.008609
7 Afghan_Pashtun @ 25.959042
8 Afghan_Uzbeki @ 32.637965
9 Tajik_Pomiri @ 33.001622
10 Afghan_Tadjik @ 33.508292
11 Tadjik @ 36.753621
12 Ust_Ishim @ 40.859178
13 Kostenki14 @ 46.863042
14 Turkmen @ 47.627592
15 Afghan_Turkmen @ 48.684793
16 Uzbek @ 50.531124
17 Iranian @ 50.748831
18 Uygur @ 53.585781
19 Kurdish @ 55.418166
20 Lezgin @ 57.171535
180 iterations.

Using 2 populations approximation:
1 Burusho+GujaratiA @ 11.542547
2 Burusho+Burusho @ 12.645184
3 GujaratiA+GujaratiA @ 12.860832
4 Burusho+Pathan @ 13.02023
5 Brahui+Burusho @ 13.226948
6 Balochi+Burusho @ 13.23084
7 GujaratiA+Pathan @ 13.247582
8 Balochi+GujaratiA @ 13.763446
9 Brahui+GujaratiA @ 13.933573
10 Burusho+Kalash @ 14.887402
11 Kalash+Pathan @ 15.556461
12 Pathan+Pathan @ 15.580343
13 GujaratiA+Kalash @ 15.788627
14 Brahui+Pathan @ 15.815565
15 Balochi+Pathan @ 15.950289
16 Afghan_Pashtun+GujaratiA @ 16.437026
17 Afghan_Pashtun+Kalash @ 16.617821
18 Kalash+Ust_Ishim @ 16.739644
19 Balochi+Kalash @ 17.09008
20 Afghan_Pashtun+Burusho @ 17.279356
16290 iterations.

Using 3 populations approximation:
1 50% Kalash +25% Brahui +25% Thai @ 9.681141
2 50% Kalash +25% Balochi +25% Thai @ 10.048643
3 50% Kalash +25% Brahui +25% Cambodian @ 10.148957
4 50% Kalash +25% Balochi +25% Cambodian @ 10.492402
5 50% Brahui +25% Kalash +25% Thai @ 10.529189
6 50% Kalash +25% Kalash +25% Thai @ 10.531972
7 50% Kalash +25% Brahui +25% Malay @ 10.587499
8 50% Kalash +25% Balochi +25% Malay @ 10.896551
9 50% Kalash +25% Cambodian +25% Kalash @ 10.942552
10 50% Brahui +25% Cambodian +25% Kalash @ 10.981825
11 50% Kalash +25% Brahui +25% Ust_Ishim @ 11.193152
12 50% Kalash +25% Balochi +25% Ust_Ishim @ 11.284936
13 50% Kalash +25% Kalash +25% Malay @ 11.289487
14 50% Balochi +25% Kalash +25% Thai @ 11.347613
15 50% Brahui +25% Kalash +25% Malay @ 11.448801
16 50% Kalash +25% Burusho +25% Ust_Ishim @ 11.520809
17 50% Burusho +25% GujaratiA +25% GujaratiA @ 11.542547
18 50% Brahui +25% Kalash +25% Ust_Ishim @ 11.545722
19 50% Kalash +25% GujaratiA +25% Thai @ 11.598803
20 50% Kalash +25% Brahui +25% Burmese @ 11.749811
2071545 iterations.

Using 4 populations approximation:
1 Brahui+Kalash+Kalash+Thai @ 9.681141
2 Balochi+Kalash+Kalash+Thai @ 10.048643
3 Brahui+Cambodian+Kalash+Kalash @ 10.148957
4 Balochi+Cambodian+Kalash+Kalash @ 10.492402
5 Brahui+Brahui+Kalash+Thai @ 10.529189
6 Kalash+Kalash+Kalash+Thai @ 10.531972
7 Brahui+Kalash+Kalash+Malay @ 10.587499
8 Brahui+Burusho+Kalash+Ust_Ishim @ 10.877944
9 Balochi+Kalash+Kalash+Malay @ 10.896551
10 Balochi+Brahui+Kalash+Thai @ 10.928576
11 Cambodian+Kalash+Kalash+Kalash @ 10.942552
12 Brahui+Brahui+Cambodian+Kalash @ 10.981825
13 Balochi+Burusho+Kalash+Ust_Ishim @ 11.130834
14 Brahui+GujaratiA+Kalash+Ust_Ishim @ 11.148915
15 Brahui+Kalash+Kalash+Ust_Ishim @ 11.193152
16 Brahui+GujaratiA+Kalash+Thai @ 11.275713
17 Balochi+Kalash+Kalash+Ust_Ishim @ 11.284936
18 Kalash+Kalash+Kalash+Malay @ 11.289487
19 Balochi+GujaratiA+Kalash+Ust_Ishim @ 11.342855
20 Balochi+Balochi+Kalash+Thai @ 11.347613
21 Balochi+Brahui+Cambodian+Kalash @ 11.358207
22 Brahui+Brahui+Kalash+Malay @ 11.448801
23 Burusho+Kalash+Kalash+Ust_Ishim @ 11.520809
24 Brahui+Burusho+GujaratiA+Ust_Ishim @ 11.532829
25 Burusho+Burusho+GujaratiA+GujaratiA @ 11.542547
26 Brahui+Brahui+Kalash+Ust_Ishim @ 11.545722
27 GujaratiA+Kalash+Kalash+Thai @ 11.598803
28 Balochi+Brahui+Kalash+Ust_Ishim @ 11.691281
29 Balochi+GujaratiA+Kalash+Thai @ 11.691507
30 Burusho+GujaratiA+Kalash+Ust_Ishim @ 11.730223
31 Brahui+Burmese+Kalash+Kalash @ 11.749811
32 Balochi+Balochi+Cambodian+Kalash @ 11.755077
33 Brahui+Brahui+Burusho+Ust_Ishim @ 11.758722
34 Brahui+Burusho+Burusho+GujaratiA @ 11.761465
35 Balochi+Burusho+Burusho+GujaratiA @ 11.789018
36 Balochi+Brahui+Kalash+Malay @ 11.791266
37 Burusho+Burusho+Burusho+GujaratiA @ 11.798747
38 Brahui+GujaratiA+GujaratiA+Ust_Ishim @ 11.836635
39 Brahui+Burusho+Burusho+Ust_Ishim @ 11.858186
40 GujaratiA+Kalash+Kalash+Ust_Ishim @ 11.866386
19394544 iterations.

kush
01-04-2018, 06:30 AM
Could someone run me/my fathers kit through as I cant find/do not know how to run the k10. My Kit#M635564. My fathers Kit# is M504390.

this is not on getmatch, its a DIY calculator. you have to use R program and all that.

Here are the files
https://drive.google.com/file/d/0B-XBmvmgdkfVM2RRRHlRSkcwV0k/view

bmoney
01-04-2018, 11:42 AM
this is not on getmatch, its a DIY calculator. you have to use R program and all that.

Here are the files
https://drive.google.com/file/d/0B-XBmvmgdkfVM2RRRHlRSkcwV0k/view

Has Davidski updated this calc - also what comes under 'steppe'

Arlus
01-04-2018, 04:04 PM
Thanks to kush for my results
2.39% Near_Eastern
7.83% East_Asian
0.02% Siberian
7.81% Oceanian
6.37% WHG-UHG
1.03% Sub-Saharan
55.50% Hindu_Kush
1.09% Steppe
3.51% Amerindian
14.46% Southeast_Asian

Least-squares method.

Using 1 population approximation:
1 Burusho @ 14.609872
2 GujaratiA @ 16.591053
3 Pathan @ 17.205877
4 Afghan_Pashtun @ 23.300336
5 Balochi @ 23.377232
6 Brahui @ 24.288474
7 Kalash @ 25.701161
8 Afghan_Uzbeki @ 28.337417
9 Afghan_Tadjik @ 28.937033
10 Tajik_Pomiri @ 29.412589
11 Tadjik @ 32.350673
12 Ust_Ishim @ 34.07042
13 Kostenki14 @ 41.60559
14 Turkmen @ 42.573637
15 Afghan_Turkmen @ 43.211052
16 Uzbek @ 44.706436
17 Uygur @ 47.250826
18 Iranian @ 48.58307
19 MA1 @ 52.045929
20 Kurdish @ 53.160546

poi
01-04-2018, 06:21 PM
Has Davidski updated this calc - also what comes under 'steppe'

Shouldn't 'Hindu-Kush' also have the 'steppe' component?

kush
01-04-2018, 07:31 PM
Has Davidski updated this calc - also what comes under 'steppe'

not sure if its updated or not. In terms of the steppe component, the yamanaya have it the highest in the population averages table. Its on the first page and they have it at 99%. I'm assuming the yamanaya samples are used for 'steppe' component.

bmoney
01-05-2018, 12:12 AM
Shouldn't 'Hindu-Kush' also have the 'steppe' component?

It seems to have some parts of ASI as well as ANI

EDITED

poi
01-05-2018, 12:22 AM
Judging by the results so far, it represents ASI

Very interesting. Is this calc considered outdated? I will have my ftdna in a few weeks... It should have more than 20% overlap, which 23andme v5 has lol. We definetely need ancient dna from south Asia for the true ASI.

kush
01-05-2018, 01:08 AM
Judging by the results so far, it represents ASI

nope I disagree. Hindu-kush is found highest in kalash, balochi, brahui, pathans and to an extent Gujarati A. I dont think its ASI rather I think its a combo of iran neolithic, caucasian, etc. ASI is represented through the east asian, south east asian, oceanian in south asians if i'm not wrong.

Here's the averages, its posted by OP as well on first page.
https://docs.google.com/spreadsheets/d/1Hb0GVyrf2ztR_QvoIYcmhWtsYv0p39avjqM-G3-6Xew/edit?pli=1#gid=1809893991

bmoney
01-05-2018, 01:20 AM
nope I disagree. Hindu-kush is found highest in kalash, balochi, brahui, pathans and to an extent Gujarati A. I dont think its ASI rather I think its a combo of iran neolithic, caucasian, etc. ASI is represented through the east asian, south east asian, oceanian in south asians if i'm not wrong.

Here's the averages, its posted by OP as well on first page.
https://docs.google.com/spreadsheets/d/1Hb0GVyrf2ztR_QvoIYcmhWtsYv0p39avjqM-G3-6Xew/edit?pli=1#gid=1809893991

If thats the case - its a great component representing old West Asian SA DNA which i've always asked for - however ASI seems artificially low if Arlus and yourself are scoring less than 35-40%

poi
01-05-2018, 01:24 AM
If thats the case - its a great component representing old West Asian SA DNA which i've always asked for - however ASI seems artificially low if Arlus and yourself are scoring less than 35-40%

I need to rerun this calc and didn't save it, but if I recall, I also scored around 49% based on my 23andm3 v5, which only had 20% overlap. I will rerun when ftdna comes along. Did you run yours?

kush
01-05-2018, 01:34 AM
If thats the case - its a great component representing old West Asian SA DNA which i've always asked for - however ASI seems artificially low if Arlus and yourself are scoring less than 35-40%

yeah not sure bro. This is a weird calculator tbh and the oracles seem quite strange as well. I think its hard to figure out ASI through this calc, since jortita has higher asian components than me and arlus. I guess all of that can't be ASI because jortita scores significantly lower ASI on most calcs than us. I guess we can figure out as more of you post on here. I could run your current V5 file over R if you want. I'll pm you my email address and then you can send me your raw file.

bmoney
01-05-2018, 01:36 AM
I need to rerun this calc and didn't save it, but if I recall, I also scored around 49% based on my 23andm3 v5, which only had 20% overlap. I will rerun when ftdna comes along. Did you run yours?

Nah can you run mine, post your v5 as well - yep were used to low overlap but according to 23andme the markers they keep are more 'relevant' for ancestry

poi
01-05-2018, 01:42 AM
Nah can you run mine, post your v5 as well - yep were used to low overlap but according to 23andme the markers they keep are more 'relevant' for ancestry

Okay, will run yours and mine. But it might be an hour or so. Also, if v5 is more relevant for ancestry, then these old calculators are based on those non ancestry SNPs, then these calcs themselves are flawed. Sort of gigo.

bmoney
01-05-2018, 01:44 AM
yeah not sure bro. This is a weird calculator tbh and the oracles seem quite strange as well. I think its hard to figure out ASI through this calc, since jortita has higher asian components than me and arlus. I guess all of that can't be ASI because jortita scores significantly lower ASI on most calcs than us. I guess we can figure out as more of you post on here. I could run your current V5 file over R if you want. I'll pm you my email address and then you can send me your raw file.

This speaks to the problem of what is ASI lol as parasar has alluded to - is it SE Asian or is part of it ANI

I don't think its SE Asian because of Jortita as you mentioned earlier having higher ASI according to this - but if some of it sucks up into the Kalash and Brahui who have low ASI in Harappa then:

-either ASI itself should be broken down into separate distinct pops - one seen in the Kalash and one in the Paniya
-or Hindu-Kush component here is part Paniya/ASI

bmoney
01-05-2018, 01:46 AM
Okay, will run yours and mine. But it might be an hour or so. Also, if v5 is more relevant for ancestry, then these old calculators are based on those non ancestry SNPs, then these calcs themselves are flawed. Sort of gigo.

According to the Khana the new calculators that are based primarily off v5 will be more accurate - v5 is supposed to cut noisy markers

The problem is none of those calculators exist yet and the majority of users here have v4 kits so the incentive to build a v5 based kit for the antho community is next to nil

So were reliant on the gen y/z anthro enthusiasts to come up with something

How accurate is ftdna compared to v4?

kush
01-05-2018, 01:50 AM
This speaks to the problem of what is ASI lol as parasar has alluded to - is it SE Asian or is part of it ANI

I don't think its SE Asian because of Jortita as you mentioned earlier having higher ASI according to this - but if some of it sucks up into the Kalash and Brahui who have low ASI in Harappa then:

-either ASI itself should be broken down into separate distinct pops - one seen in the Kalash and one in the Paniya
-or Hindu-Kush component here is part Paniya/ASI

yeah i think the latter makes sense. I think hindu-kush partially is ASI. I was thinking that earlier if that could be the case, but yeah you brought it up as well.

poi
01-05-2018, 02:10 AM
According to the Khana the new calculators that are based primarily off v5 will be more accurate - v5 is supposed to cut noisy markers

The problem is none of those calculators exist yet and the majority of users here have v4 kits so the incentive to build a v5 based kit for the antho community is next to nil

So were reliant on the gen y/z anthro enthusiasts to come up with something

How accurate is ftdna compared to v4?

According to ISOGG, v3 has the sheer number of SNPs and ftdna matches 70% of them. If these calcs are based on v3, then v5 --despite being supposedly better for ancestry -- should be practically very error prone due to very low overlap. I chose ftdna to be used with old/modern calcs while v5 should be for future ones.

poi
01-05-2018, 03:22 AM
Nah can you run mine, post your v5 as well - yep were used to low overlap but according to 23andme the markers they keep are more 'relevant' for ancestry

Alright, done with both yours and mine. Since we're v5, we only have 0.20 overlap in this calculator. This calculator's basically using 80% of non-v5 SNPs for the results, so not sure how error-prone it is for us. I will re-run when I get my ftdna results so at least I will check how v5 holds up in this calculator.



bmoney poi
------ -----
05.36% 07.90% Near_Eastern
03.72% 10.91% East_Asian
00.02% 04.38% Siberian
04.72% 03.98% Oceanian
08.26% 09.70% WHG-UHG
02.47% 00.03% Sub-Saharan
59.99% 49.29% Hindu_Kush
03.28% 10.47% Steppe
01.92% 00.55% Amerindian
10.26% 02.78% Southeast_Asian

bmoney
01-05-2018, 04:43 AM
According to ISOGG, v3 has the sheer number of SNPs and ftdna matches 70% of them. If these calcs are based on v3, then v5 --despite being supposedly better for ancestry -- should be practically very error prone due to very low overlap. I chose ftdna to be used with old/modern calcs while v5 should be for future ones.

I might order a kit then too, which one did you choose?

bmoney
01-05-2018, 05:07 AM
yeah i think the latter makes sense. I think hindu-kush partially is ASI. I was thinking that earlier if that could be the case, but yeah you brought it up as well.

Found the answer digging through the thread

Hindu Kush

ANE 40.1
South_Eurasian 11.28
ENF 45.95
East_Eurasian 0
WHG 0
Oceanian 0
Pygmy 0.86
Sub-Saharan 1.8

Steppe

ANE 44.36
South_Eurasian 2.07
ENF 23.72
East_Eurasian 0
WHG 29.85
Oceanian 0
Pygmy 0
Sub-Saharan 0

poi
01-05-2018, 05:20 AM
I might order a kit then too, which one did you choose?

Ftdna family origins, which is their autosomal dna testing and the cheapest. It also has 70% overlap with 23andme v3, so should be good for these old calcs.

poi
01-05-2018, 05:22 AM
Found the answer digging through the thread

Hindu Kush

ANE 40.1
South_Eurasian 11.28
ENF 45.95
East_Eurasian 0
WHG 0
Oceanian 0
Pygmy 0.86
Sub-Saharan 1.8

Steppe

ANE 44.36
South_Eurasian 2.07
ENF 23.72
East_Eurasian 0
WHG 29.85
Oceanian 0
Pygmy 0
Sub-Saharan 0

Very interesting. So, HinduKush has similar ANE to Steppe, but no WHG and higher EEF and ASI.

kush
01-05-2018, 05:26 AM
Found the answer digging through the thread

Hindu Kush

ANE 40.1
South_Eurasian 11.28
ENF 45.95
East_Eurasian 0
WHG 0
Oceanian 0
Pygmy 0.86
Sub-Saharan 1.8

Steppe

ANE 44.36
South_Eurasian 2.07
ENF 23.72
East_Eurasian 0
WHG 29.85
Oceanian 0
Pygmy 0
Sub-Saharan 0

Ok nice. Now it makes sense. So hindu-kush is roughly 1/10th ASI, and steppe's ASI is 2% which is basically negligible. Its on page 8. Wish they had breakdown of other components as well. I think part of the asian components have ASI mixed in there.

pegasus
01-06-2018, 09:35 PM
Very interesting. So, HinduKush has similar ANE to Steppe, but no WHG and higher EEF and ASI.

The Hindu Kush looks basically like a Kalash and after Yamna, they are the only largely West Eurasian population to have ANE levels near par with Siberians, also they share a lot of the teal component, though Kalash have more of it. Kalash do not have EEF , thats largely just Basal Eurasian.

poi
01-06-2018, 09:56 PM
The Hindu Kush looks basically like a Kalash and after Yamna, they are the only largely West Eurasian population to have ANE levels near par with Siberians, also they share a lot of the teal component, though Kalash have more of it. Kalash do not have EEF , thats largely just Basal Eurasian.

Are Kalash still used as reference modern population in recent studies or are they just left out due to their skewed isolated nature? Based on my very amateur observarion, I notice a lot of studies from 10 to 5 years back using Kalash a lot, but not much anymore. Am I off?

Zoran
01-06-2018, 10:16 PM
44.37% Near_Eastern
2.17% East_Asian
0.00% Siberian
0.42% Oceanian
5.22% WHG-UHG
0.47% Sub-Saharan
34.81% Hindu_Kush
12.48% Steppe
0.00% Amerindian
0.05% Southeast_Asian

lukaszM
01-06-2018, 10:25 PM
What is reference for Hindukush?

Lupus82
01-06-2018, 11:22 PM
45.61% Near_Eastern
1.06% East_Asian
2.45% Siberian
0.74% Oceanian
4.12% WHG-UHG
0.00% Sub-Saharan
29.63% Hindu_Kush
16.36% Steppe
0.00% Amerindian
0.02% Southeast_Asian

bmoney
01-07-2018, 04:31 AM
The Hindu Kush looks basically like a Kalash and after Yamna, they are the only largely West Eurasian population to have ANE levels near par with Siberians, also they share a lot of the teal component, though Kalash have more of it. Kalash do not have EEF , thats largely just Basal Eurasian.

whats the teal component?

bmoney
01-07-2018, 04:36 AM
What is reference for Hindukush?

Question for Davidski - in the reference spreadsheet the highest of this component belongs to the Kalash in the late 70s% followed by the Baloch/Brahui in the early 70s%

pegasus
01-07-2018, 06:06 AM
whats the teal component?

basically all that Zagrosian related stuff /CHG ie ANE + Basal combo

pegasus
01-07-2018, 06:09 AM
Question for Davidski - in the reference spreadsheet the highest of this component belongs to the Kalash in the late 70s% followed by the Baloch/Brahui in the early 70s%

Its Kalash for sure.

Achmadzaky
05-08-2020, 05:00 AM
General Admix for Eurogenes K10 Steppe
37510

Population nMonte
37511

Oracle Calculator


Oracle Calculator by www.dnagenics.com
v1.5 07/02/2020

Finished reading population data. 180 populations found.
10 components mode.

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


Mixed Mode:
1 62,89% Jordanian + 37,11% Malay @ 3,915
2 62,11% Jordanian + 37,89% Cambodian @ 4,113
3 62,89% Syrian + 37,11% Malay @ 4,566
4 62,89% Lebanese + 37,11% Malay @ 4,641
5 62,11% Syrian + 37,89% Cambodian @ 4,644
6 62,11% BedouinA + 37,89% Malay @ 4,646
7 61,33% BedouinA + 38,67% Cambodian @ 4,784
8 61,33% Palestinian + 38,67% Malay @ 4,786
9 60,55% Palestinian + 39,45% Cambodian @ 4,838
10 62,11% Lebanese + 37,89% Cambodian @ 4,875

Least-squares method.

Using 1 populations approximation
1 100% Turkish @ 31,204
2 100% Turkmen @ 32,229
3 100% Nogai @ 33,377
4 100% Iranian @ 33,398
5 100% Kumyk @ 33,847
6 100% Yemen @ 33,927
7 100% Syrian @ 34,031
8 100% Kurdish @ 34,664
9 100% Lebanese @ 34,879
10 100% Jordanian @ 34,906

Using 2 populations approximation
1 50% Druze + 50% Cambodian @ 11,021
2 50% Palestinian + 50% Cambodian @ 11,060
3 50% Druze + 50% Thai @ 11,157
4 50% Palestinian + 50% Thai @ 11,169
5 50% BedouinA + 50% Cambodian @ 11,176
6 50% Samaritan + 50% Cambodian @ 11,186
7 50% BedouinA + 50% Thai @ 11,288
8 50% Lebanese_Christian + 50% Cambodian @ 11,389
9 50% Jordanian + 50% Cambodian @ 11,439
10 50% Samaritan + 50% Thai @ 11,488

Using 3 populations approximation
1 33% Yemen + 33% Syrian + 33% Malay @ 3,864
2 33% Yemen + 33% Syrian + 33% Cambodian @ 4,525
3 33% Jordanian + 33% Jordanian + 33% Malay @ 5,479
4 33% Yemen + 33% Kurdish + 33% Malay @ 5,567
5 33% Syrian + 33% Syrian + 33% Malay @ 5,585
6 33% Lebanese + 33% Jordanian + 33% Malay @ 5,631
7 33% Syrian + 33% Lebanese + 33% Malay @ 5,735
8 33% Egyptian + 33% Iranian_Jew + 33% Malay @ 5,924
9 33% Jordanian + 33% Lebanese_Muslim + 33% Malay @ 5,975
10 33% Lebanese + 33% Lebanese + 33% Malay @ 5,984

Using 4 populations approximation
1 25% Yemen + 25% Yemen + 25% Kurdish + 25% Ami @ 7,090
2 25% Druze + 25% Druze + 25% Afghan_Uzbeki + 25% Ami @ 7,237
3 25% Moroccan_Jew + 25% Moroccan_Jew + 25% Afghan_Tadjik + 25% Ami @ 7,984
4 25% Lebanese_Christian + 25% Lebanese_Christian + 25% Uygur + 25% Atayal @ 8,049
5 25% Druze + 25% Druze + 25% Afghan_Uzbeki + 25% Atayal @ 8,058
6 25% Lebanese_Christian + 25% Lebanese_Christian + 25% Uygur + 25% Ami @ 8,310
7 25% Yemen + 25% Yemen + 25% Kurdish + 25% Atayal @ 8,539
8 25% Iranian + 25% Iranian + 25% Yemen + 25% Ami @ 8,568
9 25% Moroccan_Jew + 25% Moroccan_Jew + 25% Afghan_Tadjik + 25% Atayal @ 8,897
10 25% Samaritan + 25% Samaritan + 25% Kostenki14 + 25% Ami @ 8,980

Nino90
05-08-2020, 12:50 PM
I missed this one. Here is my results.

I never heard about Moksha. It appers to be some kind of Finno-Ugric people, I guess I score it because of my Siberian admixture.
Mokshas (https://en.wikipedia.org/wiki/Mokshas)



Mixed Mode:
1 73,05% French + 26,95% Russian_Kargopol @ 1,752
2 93,36% Utah_USA + 6,64% Turkmen @ 1,774
3 93,36% Utah_USA + 6,64% Afghan_Turkmen @ 1,787
4 91,80% English + 8,20% Nogai @ 1,802
5 70,70% French + 29,30% Moksha @ 1,803
6 94,14% Utah_USA + 5,86% Uzbek @ 1,869
7 92,58% Utah_USA + 7,42% Nogai @ 1,883
8 73,05% French + 26,95% Erzya @ 1,917
9 93,36% English + 6,64% Afghan_Turkmen @ 1,920
10 93,36% English + 6,64% Uzbek @ 1,934

Least-squares method.

Using 1 populations approximation
1 100% Utah_USA @ 3,520
2 100% English @ 3,759
3 100% Utah_German @ 4,501
4 100% Utah_British @ 4,702
5 100% Scottish @ 5,656
6 100% Hungarian @ 5,873
7 100% Orcadian @ 5,986
8 100% French @ 7,002
9 100% Czech @ 7,005
10 100% HungaryGamba_BA @ 7,192

Using 2 populations approximation
1 50% Moksha + 50% Spanish @ 2,689
2 50% Moksha + 50% French_South @ 2,859
3 50% Russian_Kargopol + 50% Spanish @ 2,887
4 50% French + 50% Norwegian @ 3,077
5 50% Russian + 50% Spanish @ 3,112
6 50% Spanish + 50% Erzya @ 3,192
7 50% Scottish + 50% French @ 3,201
8 50% Orcadian + 50% French @ 3,220
9 50% Bell_Beaker_LN + 50% Serbian @ 3,226
10 50% French + 50% Utah_Scandinavian @ 3,238

Using 3 populations approximation
1 33% French + 33% French + 33% Moksha @ 2,033
2 33% French + 33% French + 33% Russian_Kargopol @ 2,306
3 33% French + 33% French + 33% Russian @ 2,455
4 33% Moksha + 33% Moksha + 33% Spain_MN @ 2,464
5 33% Ukrainian_Poltava + 33% Halberstadt_LBA + 33% Spanish @ 2,503
6 33% Ukrainian_Lviv + 33% Bell_Beaker_LN + 33% Spanish @ 2,509
7 33% French + 33% French + 33% Erzya @ 2,531
8 33% Hungarian + 33% French + 33% Bell_Beaker_LN @ 2,542
9 33% Hungarian + 33% French + 33% Norwegian @ 2,565
10 33% Ukrainian_Poltava + 33% Bell_Beaker_LN + 33% Spanish @ 2,590

Using 4 populations approximation
1 25% Moksha + 25% Moksha + 25% Spanish + 25% French_South @ 1,752
2 25% Spanish + 25% Spanish + 25% Finnish + 25% BenzigerodeHeimburg_LN @ 1,835
3 25% French + 25% French + 25% French + 25% Russian_Kargopol @ 1,840
4 25% Moksha + 25% Moksha + 25% Spanish + 25% Spanish_North @ 1,893
5 25% French + 25% French + 25% French + 25% Erzya @ 1,967
6 25% Romanian + 25% Romanian + 25% Romanian + 25% Motala12 @ 2,014
7 25% Russian + 25% Russian + 25% Romanian + 25% Basque @ 2,052
8 25% French + 25% French + 25% French + 25% Moksha @ 2,055
9 25% French + 25% French + 25% French + 25% Finnish @ 2,063
10 25% Romanian + 25% Romanian + 25% Bulgarian + 25% Motala12 @ 2,105