Eurasia K3 Calculator

[Kurd]

I have decided to put together a K3 calculator, since members have indicated that they would like to see an E Eurasian/ W Eurasian calculator. It should be available this weekend sometime. I expect calculator effect to be negligible, and members can post their results here, when the calculator becomes available.

A brief description of the components:

1- E Eurasian - This component peaks in E & SE populations such as Ami, Nivkh, Dai, Han, and Ulchi, at about 100%, followed by Siberian & other Asian populations such as
Nganasans, Tibetans, Subba, and Mongola.
2- W Eurasian - This component peaks in Neolithic European farmers such as Stuttgart, and LBK culture, as well as in most modern European populations at over 95%.
3- SSA (Sub-Saharan African) - This component peaks in Sub-Saharan African populations such as Yoruban, Esan, and Luhiya at over 97%.

	E_Eurasian	SSA
SSA	0.155
W_Eurasian	0.094	0.134

EDIT: John uploaded the calculator alot faster than I had anticipated. 4 population modeling would be useless at K3, since there are quite a few iterations that would result in a 0 distance. I will make a decision later as to whether to incorporate single and 2 population modeling oracle.

[IMG][/IMG]

[DMXX]

Looking forward to it!

I think this will be especially useful for our South Asian regulars, as discussed in the other thread.

[Edit]: In light of the fast upload, my result below.

Population	 
E_Eurasian	11.21%
SSA	3.96%
W_Eurasian	84.83%

[MfA]

 6.83%	E_Eurasian
 1.27%	SSA
91.90%	W_Eurasian

[George]

Population
E_Eurasian 5.84%
SSA -
W_Eurasian 94.16%

No surprises

[J Man]

My own, my parent's and my grandfather's results. What exactly does ''East Eurasian'' mean in this test? Is ANE ancestry included in it to some degree?


Me:

Population
E_Eurasian 6.19%
SSA 0.33%
W_Eurasian 93.47%



Mom:


Population
E_Eurasian 2.38%
SSA 0.14%
W_Eurasian 97.48%



Dad:

Population
E_Eurasian 8.81%
SSA 0.24%
W_Eurasian 90.95%




Grandfather:

Population
E_Eurasian 1.96%
SSA 2.00%
W_Eurasian 96.04%

[MonkeyDLuffy]

Population
E_Eurasian 29.21%
SSA 0.97%
W_Eurasian 69.82%

[Kaido]

Population
E_Eurasian 24.48%
SSA 1.52%
W_Eurasian 74.00%

[icebreaker]

Father

E_Eurasian	10.54%
SSA	2.25%
W_Eurasian	87.22%

Mother

E_Eurasian	14.01%
SSA	4.02%
W_Eurasian	81.97%

Me

E_Eurasian	12.40%
SSA	2.57%
W_Eurasian	85.03%

[Varun R]

Population
E_Eurasian 36.79%
SSA 2.00%
W_Eurasian 61.21%

[firemonkey]

FTDNA

Population
E_Eurasian 3.91%
SSA 0.72%
W_Eurasian 95.37%


Least-squares method.

Using 1 population approximation:
1 Georgian @ 0.577760
2 Ukrainian @ 0.823499
3 Lithuanian @ 1.176268
4 Hungarian @ 1.221217
5 Belarusian @ 1.291214
6 Bulgarian @ 1.334119
7 Armenian @ 1.755838
8 Estonian @ 1.833127
9 Norwegian @ 2.055493
10 Abkhasian @ 2.092845
11 Czech @ 2.372128
12 Croatian @ 2.427125
13 Georgian_Jew @ 2.512262
14 Loschbour @ 2.771186
15 Assyrian @ 2.842983
16 Albanian @ 2.910132
17 Iranian_Jew @ 2.980146
18 Greek @ 3.031621
19 French @ 3.130075
20 Ashkenazi_Jew @ 3.308979

Using 2 populations approximation:
1 50% Chechen +50% LBK_EN @ 0.000000
2 50% Chechen +50% Sardinian @ 0.000000
3 50% Georgian +50% Ukrainian @ 0.000000
4 50% Greek +50% Loschbour @ 0.000000
5 50% Belarusian +50% Georgian @ 0.297977
6 50% Abkhasian +50% Bulgarian @ 0.311479
7 50% Abkhasian +50% Albanian @ 0.333145
8 50% English +50% Kurd_N @ 0.408896
9 50% Loschbour +50% Spanish @ 0.444120
10 50% Abkhasian +50% Greek @ 0.459382
11 50% Albanian +50% Loschbour @ 0.464636
12 50% Bulgarian +50% Estonian @ 0.464967
13 50% Armenian +50% Ukrainian @ 0.472156
14 50% Abkhasian +50% Croatian @ 0.477563
15 50% Belarusian +50% Bulgarian @ 0.491128
16 50% Abkhasian +50% Czech @ 0.492936
17 50% Bergamo +50% Chechen @ 0.515019
18 50% Armenian +50% Belarusian @ 0.515480
19 50% Abkhasian +50% Norwegian @ 0.518643
20 50% Georgian_Jew +50% Norwegian @ 0.521283


Using 3 populations approximation:
1 50% Abkhasian +25% Abkhasian +25% LBK_EN @ 0.000000




23andMe

Population
E_Eurasian 4.34%
SSA 0.40%
W_Eurasian 95.26%

Least-squares method.

Using 1 population approximation:
1 Ukrainian @ 0.561595
2 Belarusian @ 0.717980
3 Georgian @ 1.112861
4 Lithuanian @ 1.290798
5 Estonian @ 1.316550
6 Hungarian @ 1.379497
7 Abkhasian @ 1.707491
8 Bulgarian @ 1.758427
9 Armenian @ 2.233474
10 Loschbour @ 2.294461
11 Norwegian @ 2.302489
12 Georgian_Jew @ 2.613581
13 Czech @ 2.643366
14 Croatian @ 2.714632
15 Assyrian @ 3.282496
16 Iranian_Jew @ 3.299885
17 Albanian @ 3.316997
18 French @ 3.481271
19 Greek @ 3.489430
20 Ashkenazi_Jew @ 3.761496

Using 2 populations approximation:
1 50% Abkhasian +50% Bulgarian @ 0.000000
2 50% Abkhasian +50% Hungarian @ 0.000000
3 50% Abkhasian +50% Lithuanian @ 0.000000
4 50% Abkhasian +50% Norwegian @ 0.000000
5 50% Belarusian +50% Georgian @ 0.000000
6 50% Bergamo +50% Chechen @ 0.000000
7 50% Bulgarian +50% Estonian @ 0.000000
8 50% Bulgarian +50% Loschbour @ 0.000000
9 50% Chechen +50% French_South @ 0.000000
10 50% Estonian +50% Georgian @ 0.250954
11 50% Adygei +50% Stuttgart @ 0.265108
12 50% Estonian +50% Hungarian @ 0.362597
13 50% Loschbour +50% Norwegian @ 0.391947
14 50% Estonian +50% Lithuanian @ 0.401747
15 50% Abkhasian +50% Czech @ 0.456379
16 50% Belarusian +50% Ukrainian @ 0.457051
17 50% Chechen +50% LBK_EN @ 0.465659
18 50% Croatian +50% Loschbour @ 0.490196
19 50% Abkhasian +50% Croatian @ 0.494858
20 50% Czech +50% Loschbour @ 0.501175


Using 3 populations approximation:
1 50% Abkhasian +25% Abkhasian +25% Bergamo @ 0.000000

Done.