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Re: Оракул AdMix4
« Ответ #270 : 29 Март 2013, 18:54:42 »
Прогоните, пожалуйста, мои данные по Оракулу, так как у меня вылетает программа Anc_Oracle_097.
Мои результаты:
 0.00%  Pygmy               
  9.74%  West-Asian         
  2.49%  North-European-Mesol
  0.78%  Indo-Tibetan       
  0.00%  Mesoamerican       
  1.06%  Arctic-Amerind     
  0.00%  South-America_Amerin
  0.15%  Indian             
  0.05%  North-Siberean     
 27.94%  Atlantic_Mediterrane
  0.59%  Samoedic           
  0.00%  Indo-Iranian       
  0.00%  East-Siberean       
 52.26%  North-East-European
  0.06%  South-African       
  0.01%  North-Amerind       
  0.00%  Sub-Saharian       
  0.29%  East-South-Asian   
  4.53%  Near_East           
  0.00%  Melanesian         
  0.00%  Paleo-Siberian     
  0.05%  Austronesian

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Re: Оракул AdMix4
« Ответ #271 : 30 Март 2013, 07:41:58 »
Прогоните, пожалуйста, мои данные по Оракулу, так как у меня вылетает программа Anc_Oracle_097.
Метод квадратов можно запускать на Gedmatch (Oracle-4). А впрочем:
Least-squares method.

Using 1 population approximation:
1 Croatian @ 2,821528
2 Hungarian @ 3,230541
3 Slovenian @ 3,915305
4 Bosnian @ 4,394737
5 German @ 5,250966
6 Croatian_V @ 5,407717
7 Austrian @ 6,595072
8 German_V @ 6,762605
9 Czech @ 7,09135
10 German-North @ 7,368178
11 Slovakian @ 8,224154
12 CEU_V @ 8,516983
13 Serbian @ 10,228786
14 Swedish @ 10,618843
15 Ukrainian-West @ 12,367039
16 Latvian_V @ 12,381333
17 Welsh @ 12,50355
18 Swedish_V @ 12,974057
19 Ukrainian_V @ 13,724065
20 CEU @ 13,954638
253 iterations.

Using 2 populations approximation:
1 Bosnian+German @ 2,084598
2 Montenegrin+Ukrainian-Center @ 2,281205
3 Croatian+German @ 2,306575
4 Kosovar+Latvian @ 2,336874
5 German-South+Latvian_V @ 2,432261
6 Bosnian+Slovenian @ 2,549532
7 Montenegrin+Ukrainian_V @ 2,567449
8 CEU+Latvian_V @ 2,621968
9 Croatian+Hungarian @ 2,656823
10 Croatian+Slovenian @ 2,704658
11 British+Latvian_V @ 2,707062
12 Croatian_V+Hungarian @ 2,724302
13 Montenegrin+Ukrainian-West @ 2,739627
14 German-South+Ukrainian_V @ 2,78888
15 Italian_North+Russian_Center @ 2,795096
16 Belarusian_V+Montenegrin @ 2,802841
17 Belarusian_V+Bulgarian @ 2,814746
18 Croatian+Croatian @ 2,821528
19 Swiss+Ukrainian-East @ 2,828367
20 Bosnian+Croatian_V @ 2,838102
32131 iterations.

Using 3 populations approximation:
1 50% Ukrainian-Center +25% Bulgarian +25% German-South @ 1,525084
2 50% German_V +25% Bosnian +25% Latvian_V @ 1,525534
3 50% German-North +25% Latvian_V +25% Macedonian @ 1,52898
4 50% Ukrainian-Center +25% German-South +25% Macedonian @ 1,547614
5 50% German_V +25% Croatian +25% Latvian_V @ 1,550174
6 50% Ukrainian-Center +25% Croatian_V +25% Kosovar @ 1,595539
7 50% Croatian +25% CEU +25% Latvian_V @ 1,601419
8 50% German-South +25% Latvian_V +25% Ukrainian-East @ 1,602146
9 50% Latvian_V +25% CEU_V +25% German-South @ 1,603981
10 50% Latvian_V +25% French +25% German-North @ 1,638737
11 50% Ukrainian-Center +25% German-South +25% Montenegrin @ 1,654722
12 50% Ukrainian_V +25% German-South +25% Macedonian @ 1,656053
13 50% German-South +25% Latvian_V +25% Ukrainian-Center @ 1,672114
14 50% Ukrainian_V +25% German-South +25% Montenegrin @ 1,674761
15 50% Polish_V +25% CEU +25% Greek_North @ 1,677247
16 50% Ukrainian-East +25% French +25% Gagauz @ 1,706331
17 50% Polish_V +25% British +25% Greek_North @ 1,715231
18 50% German-North +25% Bulgarian +25% Latvian_V @ 1,716312
19 50% Croatian +25% CEU_V +25% Latvian_V @ 1,7204
20 50% Bosnian +25% German-South +25% Ukrainian-East @ 1,722726
2505522 iterations.

Using 4 populations approximation:
1 German_V+Italian_North+Latvian_V+Ukrainian-East @ 1,406455
2 German_V+Italian_North+Latvian_V+Polish_V @ 1,422084
3 Croatian+Latvian_V+Serbian+Swedish @ 1,455617
4 Estonian+Kosovar+Montenegrin+Ukrainian-East @ 1,460924
5 German_V+Latvian_V+Swiss+Ukrainian-Center @ 1,474925
6 Estonian+German_V+Kosovar+Latvian_V @ 1,483067
7 German-North+Italian_North+Latvian_V+Ukrainian-Center @ 1,48705
8 German-South+Latvian_V+Montenegrin+Polish_V @ 1,502894
9 Croatian+German+Montenegrin+Ukrainian-Center @ 1,508948
10 CEU_V+Italian_North+Latvian_V+Ukrainian-East @ 1,510363
11 German-North+Italian_North+Latvian_V+Ukrainian_V @ 1,520535
12 Estonian+Kosovar+Macedonian+Ukrainian-East @ 1,521643
13 Bulgarian+German-South+Ukrainian-Center+Ukrainian-Center @ 1,525084
14 Bosnian+German_V+German_V+Latvian_V @ 1,525534
15 German-North+German-North+Latvian_V+Macedonian @ 1,52898
16 Austrian+Estonian+Kosovar+Latvian_V @ 1,530105
17 German_V+Latvian_V+Prov_al+Ukrainian-East @ 1,530165
18 German_V+Italian_North+Latvian_V+Russian_South @ 1,531812
19 German-South+Macedonian+Ukrainian-Center+Ukrainian_V @ 1,537196
20 German-North+Italian_North+Latvian_V+Ukrainian-West @ 1,537324
21 CEU_V+Italian_North+Latvian_V+Ukrainian-Center @ 1,537723
22 British+Latvian_V+Montenegrin+Ukrainian-Center @ 1,537726
23 Croatian+Gagauz+Swedish+Ukrainian-East @ 1,542505
24 CEU+Latvian_V+Montenegrin+Ukrainian-Center @ 1,544316
25 German-South+Macedonian+Ukrainian-Center+Ukrainian-Center @ 1,547614
26 German_V+Italian_North+Latvian_V+Ukrainian-Center @ 1,548609
27 Croatian_V+German-South+Hungarian+Latvian_V @ 1,549149
28 Estonian+Kosovar+Macedonian+Polish_V @ 1,549774
29 Croatian+German_V+German_V+Latvian_V @ 1,550174
30 Bosnian+German-North+Macedonian+Ukrainian-Center @ 1,556724
31 British+Latvian_V+Macedonian+Ukrainian-Center @ 1,565796
32 German-North+Kosovar+Latvian_V+Russian_Center @ 1,567877
33 Belarusian_V+Gagauz+German-South+Ukrainian-Center @ 1,569437
34 Belarusian_V+German-South+Latvian_V+Montenegrin @ 1,570313
35 Croatian_V+German-South+Latvian_V+Slovenian @ 1,571094
36 Bosnian+Gagauz+Polish_V+Swedish @ 1,577729
37 Bosnian+French+Latvian_V+Ukrainian-Center @ 1,579905
38 Bulgarian+Estonian+Kosovar+Polish_V @ 1,579946
39 Estonian+Kosovar+Serbian+Ukrainian-Center @ 1,585885
40 Bosnian+German-South+Latvian_V+Slovakian @ 1,586257
9026739 iterations.


Gaussian method.
Noise dispersion set to 0,22662

Using 1 population approximation:
1 Croatian @ 2,650725
2 Croatian_V @ 2,698861
3 German_V @ 2,757002
4 Slovenian @ 2,979529
5 Slovakian @ 3,076837
6 Bosnian @ 3,113396
7 Austrian @ 3,295069
8 Ukrainian-West @ 3,380592
9 Latvian_V @ 3,435738
10 Hungarian @ 3,460064
11 German-South @ 3,501031
12 Czech @ 3,537813
13 CEU_V @ 3,5553
14 German @ 3,698788
15 Ukrainian_V @ 3,773692
16 Macedonian @ 3,779032
17 Serbian @ 3,882307
18 Ukrainian-Center @ 3,904177
19 French @ 3,989721
20 German-North @ 4,00695
253 iterations.

Using 2 populations approximation:
1 German_V+Latvian_V @ 2,551905
2 Croatian+German_V @ 2,552185
3 Croatian+Croatian_V @ 2,563067
4 Bosnian+German_V @ 2,591192
5 British+Latvian_V @ 2,638477
6 Montenegrin+Polish_V @ 2,640115
7 Croatian_V+German_V @ 2,642225
8 Croatian+Croatian @ 2,650725
9 Bosnian+Croatian_V @ 2,665987
10 Kosovar+Lithuanian_V @ 2,676836
11 Macedonian+Polish_V @ 2,681212
12 Kosovar+Latvian @ 2,685451
13 Latvian_V+Orcadian @ 2,689023
14 Croatian_V+Croatian_V @ 2,698861
15 Italian_North+Polish_V @ 2,719205
16 Croatian+Slovakian @ 2,739832
17 Latvian_V+Welsh @ 2,741726
18 Croatian_V+Latvian_V @ 2,747317
19 German_V+German_V @ 2,757002
20 Bosnian+Slovakian @ 2,758819
32131 iterations.

Using 3 populations approximation:
1 50% German_V +25% Croatian +25% Latvian_V @ 2,516911
2 50% Croatian +25% Croatian +25% German_V @ 2,523893
3 50% German_V +25% Bosnian +25% Latvian_V @ 2,524903
4 50% Croatian +25% German_V +25% Latvian_V @ 2,537981
5 50% Croatian +25% British +25% Latvian_V @ 2,538318
6 50% German_V +25% German_V +25% Latvian_V @ 2,543201
7 50% Croatian +25% Croatian_V +25% German_V @ 2,548781
8 50% Croatian +25% Latvian_V +25% Orcadian @ 2,555676
9 50% Croatian_V +25% Croatian_V +25% Latvian_V @ 2,563144
10 50% German_V +25% Croatian_V +25% Latvian_V @ 2,566214
11 50% Latvian_V +25% Latvian +25% Sardinian @ 2,569443
12 50% Latvian_V +25% British +25% German_V @ 2,570509
13 50% Latvian_V +25% British +25% Croatian @ 2,572385
14 50% Croatian +25% Bosnian +25% German_V @ 2,574584
15 50% German_V +25% Bosnian +25% Croatian @ 2,575181
16 50% Croatian +25% Croatian +25% Croatian_V @ 2,576264
17 50% German_V +25% Latvian_V +25% Montenegrin @ 2,579936
18 50% Latvian_V +25% Croatian +25% Orcadian @ 2,580618
19 50% Croatian +25% Croatian +25% German-North @ 2,58136
20 50% Bosnian +25% British +25% Latvian_V @ 2,58296
4870230 iterations.

Using 4 populations approximation:
1 Croatian+German_V+German_V+Latvian_V @ 2,516911
2 Croatian+Croatian+Croatian+German_V @ 2,523893
3 Bosnian+German_V+German_V+Latvian_V @ 2,524903
4 Croatian+Croatian+German_V+Latvian_V @ 2,537981
5 British+Croatian+Croatian+Latvian_V @ 2,538318
6 German_V+German_V+German_V+Latvian_V @ 2,543201
7 Croatian+Croatian+Croatian_V+German_V @ 2,548781
8 German_V+Kosovar+Latvian_V+Lithuanian_V @ 2,551548
9 German_V+German_V+Latvian_V+Latvian_V @ 2,551905
10 Croatian+Croatian+German_V+German_V @ 2,552185
11 Croatian+Croatian+Latvian_V+Orcadian @ 2,555676
12 Croatian+Croatian+Croatian_V+Croatian_V @ 2,563067
13 Croatian_V+Croatian_V+Croatian_V+Latvian_V @ 2,563144
14 Bosnian+British+Croatian+Latvian_V @ 2,565609
15 Croatian_V+German_V+German_V+Latvian_V @ 2,566214
16 Latvian+Latvian_V+Latvian_V+Sardinian @ 2,569443
17 British+German_V+Latvian_V+Latvian_V @ 2,570509
18 British+Croatian+Latvian_V+Latvian_V @ 2,572385
19 Bosnian+Croatian+Croatian+German_V @ 2,574584
20 Bosnian+Croatian+German_V+German_V @ 2,575181
21 Croatian+Croatian_V+German_V+Latvian_V @ 2,57622
22 Croatian+Croatian+Croatian+Croatian_V @ 2,576264
23 Bosnian+Croatian+German_V+Latvian_V @ 2,578412
24 German_V+German_V+Latvian_V+Montenegrin @ 2,579936
25 Croatian+Latvian_V+Latvian_V+Orcadian @ 2,580618
26 Croatian+German_V+Montenegrin+Polish_V @ 2,581009
27 Croatian+Croatian+Croatian+German-North @ 2,58136
28 Bosnian+Bosnian+British+Latvian_V @ 2,58296
29 German_V+Kosovar+Latvian_V+Polish_V @ 2,585158
30 British+Croatian+Croatian+Croatian @ 2,585633
31 Bosnian+British+German_V+Latvian_V @ 2,587407
32 Bosnian+Croatian+Croatian_V+German_V @ 2,588148
33 German_V+Lithuanian_V+Montenegrin+Montenegrin @ 2,588397
34 Croatian+Croatian_V+German_V+German_V @ 2,589293
35 Bosnian+Croatian+Latvian_V+Orcadian @ 2,589695
36 Bosnian+British+Latvian_V+Latvian_V @ 2,59003
37 Croatian+Croatian+Latvian_V+Welsh @ 2,590043
38 Bosnian+Bosnian+German_V+German_V @ 2,591192
39 British+Croatian+German_V+Latvian_V @ 2,591409
40 Croatian+Croatian_V+Croatian_V+German_V @ 2,592003
39606828 iterations.

Как обычно в оракулах по MDLP, унесло на запад, так что я бы это расшифровал "1/4 балканы/южные славяне, 3/4 северные славяне"

Оффлайн galychanyn

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Re: Оракул AdMix4
« Ответ #272 : 30 Март 2013, 12:26:15 »
Цитировать
Как обычно в оракулах по MDLP, унесло на запад, так что я бы это расшифровал "1/4 балканы/южные славяне, 3/4 северные славяне"
Спасибо большое! Я - украинский бойко по всем линиям, которые происходят из небольших близлежащих деревень Львовской области на границе с Польшей. Вопрос в том, что мой отец и моя мать довольно сильно отличаются антропологически: мой отец тяготеет к северным европеоидам, а мать - к южным:


 Вариант хорват - наиболее соответствует историческим реалиям, так как на данной территории в средние века проживали белые хорваты.
« Последнее редактирование: 31 Март 2013, 19:19:01 от galychanyn »

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Re: Оракул AdMix4
« Ответ #273 : 31 Май 2013, 21:41:57 »
Посчитайте меня, пожалуйста - M021613

50 процентов - западный русский, 25 - южный, 25 - центральная Россия (Подмосковье).

 :)

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Re: Оракул AdMix4
« Ответ #274 : 01 Июнь 2013, 19:14:58 »
Посчитайте меня, пожалуйста - M021613

50 процентов - западный русский, 25 - южный, 25 - центральная Россия (Подмосковье).

 :)

JTEST от Davidski Eurogenes  - геном Антона. Это в высшей степени прецизионный тест:

Population   
SOUTH_BALTIC   34.30%
EAST_EURO   22.55%
NORTH-CENTRAL_EURO   15.14%
ATLANTIC   13.47%
WEST_MED   3.81%
ASHKENAZI   2.03%
WEST_ASIAN   7.47%
SOUTH_ASIAN   0.36%
SIBERIAN   0.53%
WEST_AFRICAN   0.36%

Этот же тест с Оракул:


Using 1 population approximation:
1 Northwest_Russian @ 7.134
2 West_Russian @ 7.367
3 Belorussian @ 7.411
4 LIT @ 7.577
5 Ukrainian-Russian @ 8.438
6 UA @ 8.455
7 PL @ 8.796
8 EE @ 9.683
9 East_Russian @ 14.049
10 Erzya @ 14.915
78 iterations.



Using 2 populations approximation:
1 50% LIT +50% West_Russian @ 5.453
2 50% LIT +50% Ukrainian-Russian @ 5.890
3 50% LIT +50% UA @ 6.200
4 50% LIT +50% PL @ 6.323
5 50% Northwest_Russian +50% West_Russian @ 6.435
6 50% Northwest_Russian +50% UA @ 6.759
7 50% Northwest_Russian +50% PL @ 6.779
8 50% Belorussian +50% LIT @ 6.826
9 50% Belorussian +50% West_Russian @ 6.890
10 50% LIT +50% Northwest_Russian @ 6.900
3081 iterations.



Using 3 populations approximation:
1 50% LIT +25% West_Russian +25% West_Russian @ 5.453
2 50% West_Russian +25% LIT +25% LIT @ 5.453
3 50% LIT +25% Ukrainian-Russian +25% West_Russian @ 5.617
4 50% LIT +25% UA +25% West_Russian @ 5.708
5 50% LIT +25% PL +25% West_Russian @ 5.790
6 50% West_Russian +25% LIT +25% Northwest_Russian @ 5.826
7 50% LIT +25% Ukrainian-Russian +25% Ukrainian-Russian @ 5.890
8 50% Ukrainian-Russian +25% LIT +25% LIT @ 5.890
9 50% LIT +25% PL +25% Ukrainian-Russian @ 5.944
10 50% LIT +25% UA +25% Ukrainian-Russian @ 5.947
69245 iterations.



Using 4 populations approximation:
1 LIT + LIT + West_Russian + West_Russian @ 5.453
2 LIT + LIT + Ukrainian-Russian + West_Russian @ 5.617
3 LIT + LIT + UA + West_Russian @ 5.708
4 LIT + LIT + PL + West_Russian @ 5.790
5 LIT + Northwest_Russian + West_Russian + West_Russian @ 5.826
6 LIT + LIT + Ukrainian-Russian + Ukrainian-Russian @ 5.890
7 LIT + LIT + PL + Ukrainian-Russian @ 5.944
8 LIT + LIT + UA + Ukrainian-Russian @ 5.947
9 LIT + West_Russian + West_Russian + West_Russian @ 5.956
10 LIT + Northwest_Russian + UA + West_Russian @ 5.973
11 LIT + LIT + Northwest_Russian + West_Russian @ 5.990
12 Belorussian + LIT + West_Russian + West_Russian @ 6.017
13 LIT + Northwest_Russian + PL + West_Russian @ 6.025
14 Belorussian + LIT + LIT + West_Russian @ 6.031
15 LIT + Northwest_Russian + Ukrainian-Russian + West_Russian @ 6.035
16 Erzya + LIT + LIT + UA @ 6.035
17 Erzya + LIT + LIT + PL @ 6.059
18 LIT + UA + West_Russian + West_Russian @ 6.066
19 LIT + LIT + LIT + West_Russian @ 6.086
20 LIT + Ukrainian-Russian + West_Russian + West_Russian @ 6.125

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Re: Оракул AdMix4
« Ответ #275 : 02 Июнь 2013, 12:49:30 »
Ну и тут же привожу свой для сравнения:

Kit Number: M135314

Admix Results (sorted):

#   Population   Percent
1    SOUTH_BALTIC    29.35
2    EAST_EURO    23.13
3    NORTH-CENTRAL_EURO    15.28
4    ATLANTIC    14.89
5    WEST_MED    7.87
6    WEST_ASIAN    2.58
7    ASHKENAZI    2.51
8    EAST_MED    2.40
9    SIBERIAN    2.00


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

Least-squares method.

Using 1 population approximation:
1 West_Russian @ 3.380
2 UA @ 4.471
3 PL @ 4.662
4 Ukrainian-Russian @ 4.780
5 Belorussian @ 6.188
6 Northwest_Russian @ 7.660
7 EE @ 9.284
8 East_Russian @ 10.115
9 LIT @ 11.023
10 North_Russian @ 11.658
78 iterations.



Using 2 populations approximation:
1 50% UA +50% West_Russian @ 3.115
2 50% PL +50% West_Russian @ 3.353
3 50% West_Russian +50% West_Russian @ 3.380
4 50% PL +50% Ukrainian-Russian @ 3.777
5 50% Ukrainian-Russian +50% West_Russian @ 3.808
6 50% UA +50% Ukrainian-Russian @ 4.079
7 50% Belorussian +50% West_Russian @ 4.211
8 50% PL +50% UA @ 4.267
9 50% UA +50% UA @ 4.471
10 50% HU +50% Northwest_Russian @ 4.619
3081 iterations.



Using 3 populations approximation:
1 50% Northwest_Russian +25% HU +25% West_Russian @ 2.635
2 50% Northwest_Russian +25% East_Russian +25% HU @ 2.653
3 50% West_Russian +25% HU +25% Northwest_Russian @ 2.772
4 50% Northwest_Russian +25% HU +25% North_Russian @ 2.992
5 50% West_Russian +25% UA +25% West_Russian @ 3.010
6 50% Northwest_Russian +25% AT +25% East_Russian @ 3.026
7 50% Northwest_Russian +25% HU +25% Ukrainian-Russian @ 3.034
8 50% Northwest_Russian +25% AT +25% West_Russian @ 3.062
9 50% UA +25% West_Russian +25% West_Russian @ 3.115
10 50% West_Russian +25% UA +25% UA @ 3.115
62353 iterations.



Using 4 populations approximation:
1 HU + Northwest_Russian + Northwest_Russian + West_Russian @ 2.635
2 HU + LIT + North_Russian + West_Russian @ 2.637
3 East_Russian + HU + Northwest_Russian + Northwest_Russian @ 2.653
4 HU + North_Russian + Northwest_Russian + PL @ 2.705
5 HU + North_Russian + Northwest_Russian + UA @ 2.728
6 HU + LIT + North_Russian + UA @ 2.752
7 HU + Northwest_Russian + West_Russian + West_Russian @ 2.772
8 East_Russian + HU + LIT + West_Russian @ 2.788
9 HU + LIT + North_Russian + PL @ 2.788
10 HU + North_Russian + Northwest_Russian + West_Russian @ 2.815
11 East_Russian + HU + LIT + Northwest_Russian @ 2.817
12 Belorussian + East_Russian + HU + Northwest_Russian @ 2.836
13 Belorussian + HU + North_Russian + Northwest_Russian @ 2.930
14 HU + LIT + North_Russian + Ukrainian-Russian @ 2.965
15 Belorussian + HU + Northwest_Russian + West_Russian @ 2.973
16 HU + North_Russian + Northwest_Russian + Northwest_Russian @ 2.992
17 East_Russian + HU + Northwest_Russian + West_Russian @ 2.995
18 East_Russian + HU + LIT + UA @ 3.008
19 UA + West_Russian + West_Russian + West_Russian @ 3.010
20 Belorussian + East_Russian + HU + LIT @ 3.017


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Re: Оракул AdMix4
« Ответ #276 : 03 Июнь 2013, 00:04:05 »
Калькулятор Веренича для генома Антона с Оракулом 4:

Kit Number: M021613

Admix Results (sorted):

#   Population   Percent
1    North-East-European    63.93
2    Atlantic_Mediterranean_Neolithic    18.51
3    West-Asian    6.62
4    North-European-Mesolithic    5.65
5    Samoedic    2.15
6    Near_East    1.53
7    Indian    1.01
8    Melanesian    0.60


Using 1 population approximation:
1 Ukrainian-Center @ 4.185
2 Ukrainian_V @ 4.842
3 Russian_V @ 5.024
4 Ukrainian-East @ 5.664
5 Ukrainian-West @ 5.888
6 Belarusian_V @ 5.953
7 Russian_South @ 6.038
8 Russian_cossack @ 6.160
9 Polish_V @ 6.347
10 Sorb @ 6.658
276 iterations.



Using 2 populations approximation:
1 50% Russian_V +50% Ukrainian-Center @ 3.611
2 50% Russian_North +50% Ukrainian-Center @ 3.732
3 50% Estonian +50% German @ 3.734
4 50% Russian_North +50% Ukrainian-West @ 3.807
5 50% Russian_V +50% Ukrainian_V @ 3.848
6 50% Russian_North +50% Ukrainian_V @ 4.055
7 50% Croatian +50% Estonian @ 4.056
8 50% Russian_V +50% Ukrainian-West @ 4.063
9 50% Estonian +50% Hungarian @ 4.121
10 50% Croatian_V +50% Estonian @ 4.173
38226 iterations.



Using 3 populations approximation:
1 50% Ukrainian-Center +25% Russian_North +25% Ukrainian-Center @ 2.122
2 50% Ukrainian-Center +25% Russian_North +25% Ukrainian_V @ 2.337
3 50% Ukrainian-Center +25% Russian_North +25% Ukrainian-West @ 2.342
4 50% Ukrainian-Center +25% Belarusian_V +25% Russian_North @ 2.428
5 50% Russian_South +25% German +25% Russian_North @ 2.500
6 50% Ukrainian-Center +25% Polish_V +25% Russian_North @ 2.548
7 50% Ukrainian-East +25% German +25% Russian_North @ 2.549
8 50% Ukrainian-Center +25% Russian_North +25% Sorb @ 2.574
9 50% Russian_North +25% North-East-European +25% Kosovar @ 2.605
10 50% Ukrainian_V +25% Russian_North +25% Ukrainian-Center @ 2.613
1420422 iterations.



Using 4 populations approximation:
1 Russian_North + Ukrainian-Center + Ukrainian-Center + Ukrainian-Center @ 2.122
2 Croatian + Estonian + Russian_North + Ukrainian-Center @ 2.289
3 Bosnian + Estonian + Russian_North + Ukrainian-Center @ 2.315
4 North-East-European + Karelian + Kosovar + Russian_South @ 2.331
5 Russian_North + Ukrainian-Center + Ukrainian-Center + Ukrainian_V @ 2.337
6 Russian_North + Ukrainian-Center + Ukrainian-Center + Ukrainian-West @ 2.342
7 German-North + Latvian + Latvian_V + Russian_North @ 2.375
8 North-East-European + Inkeri + Romania + Slovakian @ 2.397
9 German_V + Latvian + Latvian_V + Russian_North @ 2.408
10 Belarusian_V + Russian_North + Ukrainian-Center + Ukrainian-Center @ 2.428
11 Estonian + German-North + Latvian_V + Russian_North @ 2.442
12 Estonian + German + Mordovian + Ukrainian-Center @ 2.463
13 Russian_North + Russian_South + Slovakian + Ukrainian-Center @ 2.479
14 Estonian + Hungarian + Russian_North + Ukrainian-Center @ 2.481
15 North-East-European + Romania + Russian_North + Swedish @ 2.485
16 German + Russian_North + Russian_South + Ukrainian-East @ 2.486
17 CEU_V + Latvian + Latvian_V + Russian_North @ 2.494
18 North-East-European + Romania + Russian_North + Swedish_V @ 2.495
19 German + Russian_North + Russian_South + Russian_South @ 2.500
20 North-East-European + Karelian + Kosovar + Ukrainian-East @ 2.506

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Re: Оракул AdMix4
« Ответ #277 : 03 Июнь 2013, 00:12:17 »
Мой World22 c Оракул 4 для сравнения:


Admix Results (sorted):

#   Population   Percent
1    North-East-European    64.46
2    Atlantic_Mediterranean_Neolithic    19.68
3    Near_East    3.13
4    Indo-Iranian    2.51
5    West-Asian    2.38
6    North-European-Mesolithic    2.07
7    Samoedic    1.71
8    East-Siberean    1.35
9    South-America_Amerind    1.15




Using 1 population approximation:
1 Sorb @ 3.646
2 Belarusian_V @ 4.364
3 Russian_V @ 4.869
4 Russian_cossack @ 5.246
5 Polish_V @ 5.765
6 Ukrainian @ 5.863
7 Ukrainian-West @ 5.911
8 Ukrainian_V @ 5.946
9 Ukrainian-East @ 6.117
10 Ukrainian-Center @ 6.149

Using 2 populations approximation:
1 50% Russian_V +50% Sorb @ 3.176
2 50% Sorb +50% Sorb @ 3.646
3 50% Russian_Center +50% Slovakian @ 3.693
4 50% Belarusian +50% German @ 3.740
5 50% Russian +50% Slovakian @ 3.807
6 50% Belarusian_V +50% Sorb @ 3.845
7 50% Czech +50% Russian @ 3.851
8 50% Belarusian_V +50% Russian_V @ 3.891
9 50% Russian_cossack +50% Sorb @ 3.965
10 50% Russian_V +50% Ukrainian-West @ 3.985

Using 3 populations approximation:
1 50% Lithuanian +25% Mordovian +25% Portugese @ 2.741
2 50% Lithuanian +25% Iberian +25% Mordovian @ 2.755
3 50% Lithuanian +25% Mordovian +25% Spaniard @ 2.821
4 50% Lithuanian +25% Moldavian +25% Portugese @ 2.972
5 50% Lithuanian +25% Orcadian +25% Tatar_Kryashen @ 2.985
6 50% Lithuanian +25% Iberian +25% Moldavian @ 2.998
7 50% Russian_V +25% Slovakian +25% Sorb @ 3.018
8 50% Russian_V +25% North-East-European +25% Portugese @ 3.021
9 50% Russian_V +25% Belarusian +25% Welsh @ 3.034
10 50% Lithuanian +25% Moldavian +25% Spaniard @ 3.057

Using 4 populations approximation:
1 North-East-European + Lithuanian_V + Spaniard + Tatar_Kryashen @ 2.646
2 North-East-European + Iberian + Mordovian + Russian_V @ 2.682
3 North-East-European + Iberian + Lithuanian_V + Tatar_Kryashen @ 2.727
4 Lithuanian + Lithuanian + Mordovian + Portugese @ 2.741
5 Iberian + Lithuanian + Lithuanian + Mordovian @ 2.755
6 North-East-European + Mordovian + Russian_V + Spaniard @ 2.768
7 North-East-European + Mordovian + Portugese + Sorb @ 2.779
8 North-East-European + Iberian + Mordovian + Sorb @ 2.814
9 Lithuanian + Lithuanian + Mordovian + Spaniard @ 2.821
10 Iberian + Latvian + Lithuanian + Mordovian @ 2.826
11 Latvian + Lithuanian + Mordovian + Portugese @ 2.879
12 North-East-European + Latvian + Spaniard + Tatar_Kryashen @ 2.888
13 North-East-European + Russian + Spaniard + Tatar_Kryashen @ 2.911
14 Belarusian + Lithuanian + Orcadian + Tatar_Kryashen @ 2.913
15 North-East-European + Mordovian + Portugese + Russian_V @ 2.917
16 North-East-European + Iberian + Moldavian + Russian_V @ 2.922
17 Latvian + Lithuanian + Mordovian + Spaniard @ 2.930
18 North-East-European + Mordovian + Sorb + Spaniard @ 2.930
19 North-East-European + Iberian + Latvian + Tatar_Kryashen @ 2.941
20 North-East-European + Belarusian + Spaniard + Tatar_Kryashen @ 2.944

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Re: Оракул AdMix4
« Ответ #278 : 04 Июнь 2013, 11:11:46 »
Виктор, спасибо! :)

Оффлайн Elena V

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Re: Оракул AdMix4
« Ответ #279 : 04 Июнь 2013, 22:04:05 »
Знатоки, просветите и меня.
Посмотрела JTEST Eurogenes по своим недавно полученным данным от 23&me. Не то, чтобы он меня совсем удивил, учитывая, что мои предки более трех веков как минимум жили в Ярославской губ., но все же был несколько неожиданным по части эрзя.
И правильно ли я поняла, что в методе наименьших квадратов, чем меньше коэффициент, тем лучше аппроксимация?
По моим данным Family Finder (F118804), естественно, результат практически совпадает.

Kit Number: M052228
Admix Results (sorted):

#   Population   Percent
1   SOUTH_BALTIC    29.31
2   EAST_EURO   28.51
3   NORTH-CENTRAL_EURO   17.53
4   ATLANTIC   14.75
5   SIBERIAN   3.36
6   WEST_ASIAN   3.04
7   WEST_MED   2.48
8   ASHKENAZI   1.02
--------------------------------
Least-squares method.

Using 1 population approximation:
1 West_Russian @ 6.615
2 North_Russian @ 6.794
3 East_Russian @ 6.863
4 EE @ 7.253
5 Northwest_Russian @ 7.449
6 Belorussian @ 7.533
7 Ukrainian-Russian @ 7.926
8 East_Finnish @ 8.138
9 Erzya @ 8.283
10 PL @ 9.817


Using 2 populations approximation:
1 50% EE +50% Erzya @ 1.481
2 50% EE +50% North_Russian @ 2.436
3 50% East_Russian +50% EE @ 2.672
4 50% East_Finnish +50% Northwest_Russian @ 3.265
5 50% Belorussian +50% Erzya @ 3.475
6 50% Belorussian +50% North_Russian @ 3.874
7 50% East_Russian +50% Northwest_Russian @ 3.986
8 50% Belorussian +50% East_Russian @ 4.122
9 50% Erzya +50% LIT @ 4.146
10 50% Erzya +50% Northwest_Russian @ 4.176


Using 3 populations approximation:
1 50% EE +25% Erzya +25% Erzya @ 1.481
2 50% Erzya +25% EE +25% EE @ 1.481
3 50% EE +25% Erzya +25% North_Russian @ 1.518
4 50% EE +25% East_Russian +25% Erzya @ 1.783
5 50% Erzya +25% Belorussian +25% EE @ 2.267
6 50% EE +25% Northwest_Russian +25% Udmurt @ 2.318
7 50% EE +25% East_Russian +25% North_Russian @ 2.333
8 50% EE +25% North_Russian +25% North_Russian @ 2.436
9 50% North_Russian +25% EE +25% EE @ 2.436
10 50% Erzya +25% LIT +25% South_Finnish @ 2.452


Using 4 populations approximation:
1 EE + EE + Erzya + Erzya @ 1.481
2 EE + EE + Erzya + North_Russian @ 1.518
3 East_Russian + EE + EE + Erzya @ 1.783
4 East_Finnish + EE + Erzya + Northwest_Russian @ 1.996
5 Belorussian + EE + Erzya + North_Russian @ 2.247
6 Belorussian + EE + Erzya + Erzya @ 2.267
7 EE + EE + Northwest_Russian + Udmurt @ 2.318
8 East_Russian + EE + EE + North_Russian @ 2.333
9 East_Russian + EE + Erzya + Northwest_Russian @ 2.388
10 EE + EE + North_Russian + North_Russian @ 2.436
11 East_Russian + EE + Erzya + LIT @ 2.445
12 EE + Erzya + North_Russian + Northwest_Russian @ 2.451
13 Erzya + Erzya + LIT + South_Finnish @ 2.452
14 EE + Erzya + Erzya + LIT @ 2.467
15 Belorussian + East_Russian + EE + Erzya @ 2.474
16 Erzya + LIT + North_Russian + South_Finnish @ 2.482
17 EE + Erzya + Erzya + Northwest_Russian @ 2.518
18 Belorussian + East_Finnish + EE + Erzya @ 2.534
19 East_Finnish + EE + Erzya + LIT @ 2.538
20 EE + Erzya + North_Russian + West_Russian @ 2.551


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Re: Оракул AdMix4
« Ответ #280 : 05 Июнь 2013, 07:29:58 »
И правильно ли я поняла, что в методе наименьших квадратов, чем меньше коэффициент, тем лучше аппроксимация?
Да, все верно.
Не то, чтобы он меня совсем удивил, учитывая, что мои предки более трех веков как минимум жили в Ярославской губ., но все же был несколько неожиданным по части эрзя.
Просто если среди эталонных популяций есть очень близкая к вам, то оракул покажет большинство или всех предков из нее. В вашем же случае он такую не нашел и постарался найти наиболее близкую смесь популяций, которая даст похожий на ваш результат. Это в равных долях Эстония плюс Поволжье либо Русский Север. Очень адекватно для Ярославской губернии. Что касается эрзя, то в JTest Поволжье представлено эрзя как более европейскими финно-уграми и удмуртами с коми как более сибирскими. Все же Сибири у вас не так много, поэтому в основном вашу северную сторону представляют эрзя и каргопольские русские (North_Russian).

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Re: Оракул AdMix4
« Ответ #281 : 05 Июнь 2013, 11:43:01 »
JTEST от Davidski Eurogenes показывает через Оракул высокий процент адмиксов от эрзи и у меня:

10 Erzya @ 14.915




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Re: Оракул AdMix4
« Ответ #282 : 05 Июнь 2013, 12:08:32 »
JTEST от Davidski Eurogenes показывает через Оракул высокий процент адмиксов от эрзи и у меня:

10 Erzya @ 14.915
это не адмикс - это расстояние. то есть вы как раз далеко от эрзя

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Re: Оракул AdMix4
« Ответ #283 : 05 Июнь 2013, 12:12:43 »
Понял, спасибо :)

Сколько еще всего предстоит узнать об этих калькуляторах.

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Re: Оракул AdMix4
« Ответ #284 : 05 Июнь 2013, 17:22:04 »
Мои результаты Jtest:
#   Population   Percent
1   SOUTH_BALTIC   31.19
2   EAST_EURO   24.92
3   NORTH-CENTRAL_EURO   17.80
4   ATLANTIC   14.49
5   WEST_MED   3.52
6   WEST_ASIAN   2.70
7   ASHKENAZI   1.72
8   EAST_MED   1.48
9   SIBERIAN   1.29
10   SOUTH_ASIAN   0.89


Least-squares method.

Using 1 population approximation:
1 Belorussian @ 2.987
2 West_Russian @ 4.062
3 Northwest_Russian @ 4.669
4 EE @ 4.837
5 Ukrainian-Russian @ 5.497
6 PL @ 5.753
7 UA @ 6.285
8 LIT @ 7.575
9 East_Russian @ 9.857
10 North_Russian @ 10.339
78 iterations.

Using 4 populations approximation:
1 EE + Erzya + LIT + PL @ 1.268
2 East_Russian + EE + LIT + PL @ 1.291
3 EE + EE + Ukrainian-Russian + West_Russian @ 1.465
4 EE + Northwest_Russian + West_Russian + West_Russian @ 1.476
5 EE + EE + Ukrainian-Russian + Ukrainian-Russian @ 1.510
6 EE + LIT + North_Russian + PL @ 1.524
7 EE + Erzya + LIT + UA @ 1.546
8 East_Russian + EE + LIT + UA @ 1.553
9 Belorussian + EE + West_Russian + West_Russian @ 1.570
10 Belorussian + Belorussian + East_Russian + EE @ 1.572
...

Интересно, какими компонентами представленны эстонцы? Я так понимаю, что это те же литовцы, только с более северным (финнским) трендом или нет?



 

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