auCalculator - Web-приложение для модификации данных G25

[Daemon2017]

Привет, коллеги!

Я не очень уважаю аутосомы, но тут пришлось с ними поработать и захотелось упростить себе жизнь

Вот тут
https://forum.molgen.org/index.php/topic,12389.msg573786.html#msg573786
Валерий (albino in the black) предложил формулу, позволяющую вычесть произвольного предка (условно: вычли из аваро-славянина всё, что досталось ему от аваров = получили чистого славянина) из любого образца. В общем виде, формула выглядит так:

(sample_G_N_component_value - (G_N_component_percent / 100) * G_N_component_value) / (1 - (G_N_component_percent / 100))
где N - номер координаты G25 (от 1 до 25).

На основе этой формулы, я забабахал Web-приложуху, которая позволяет применять эту формулу быстро и сразу над множеством образцов:
https://daemon2017.github.io/auCalculator/


Для использования необходимы:
1) образец/образцы, которые надо очистить от компоненты, привнесенной определенным предком
2) эталонный носитель убираемого компонента
3) информация о том, каков % убираемой компоненты в геноме очищаемых образца/образцов - для этого нужен калькулятор

[Daemon2017]

Как собрать калькулятор.

Давайте разберемся на примере сложного, но не очень (как Кавказ) региона - Поволжья. В Поволжье у большинства народов должно быть около 5 предковых компонент:
а) восточноевропейская: её будут представлять литовцы-аукшайты, потомки племени литвы, т.е. "литва в узком смысле слова"
б) уральская: её будут представлять манси
в) степная тюркская: ее будут представлять ногайцы
г) степная иранская: ее будут представлять рушанцы, в которых видят потомков скифов (осетин брать не стал, т.к. это Кавказ, а в горах всегда генетический ад)
д) степная R-тюркская, т.е. булгарская: ее будут представлять делиорманлы, в которых видят потомков не то гуннов, не то авар, не то булгар
Возможно, что стоило бы расчленить (в) на кыпчаков и огузов, но я не знаю, кого можно взять на роль печенегов. Также, возможно, что и (г) стоило бы расчленить на скифов и сарматов, но тут поиск потомков будет еще сложнее.
Народ делиорманлы оказался довольно близким к средневековым дунайским булгарам. Судя по карте https://umap.openstreetmap.fr/en/map/ancient-human-dna_41837#12/43.1470/25.7248 они похоронены около Великого Тырнова - столицы Болгарии. Но R-тюркский компонент там подразмытый.

Получается вот такой набор, который надо поместить в Vahaduo https://vahaduo.github.io/vahaduo/ на вкладку SOURCE:

Lithuanian_PA,0.1337421,0.1241485,0.0796195,0.074613,0.0421616,0.0291092,0.0087244,0.0134128,-0.0037324,-0.0263102,-0.0035118,-0.0091044,0.0186756,0.0266472,-0.0118755,0.0034972,0.0042865,0.0010292,0.0039282,0.0012351,-0.0060519,-0.0032921,0.0093979,-0.006552,-0.0002845
Mansi,0.0858551,-0.1662567,0.1091496,0.0617391,-0.0731126,-0.0220721,0.0089639,0.0169443,0.0012563,-0.034833,0.0522891,-0.0038323,0.0196231,-0.0715246,-0.0247981,-0.0130504,0.0005961,-0.0012849,-0.0058359,-0.0123809,-0.0026739,0.0235293,0.0147899,-0.0036493,-0.0069283
Nogai,0.0745208,-0.1653521,0.0420822,-0.004294,-0.0290914,-0.011287,0.0098842,0.0118094,-0.0094321,-0.0041165,-0.0201648,-0.0024683,0.0012066,-0.0025176,0.0020917,-0.0007019,0.0011735,-6.72e-05,-8.88e-05,0.005098,-0.0090209,-0.0020804,-0.0094029,0.0013893,-0.0014229
Pamiri_Rushan,0.1000017,0.0451186,-0.0255366,0.0428667,-0.0437004,0.0255384,0.005405,-0.0021099,-0.0304156,-0.0293137,-0.008537,-0.0009206,-0.0017627,-0.012504,0.01712,0.0131074,-0.0043584,-0.0017194,0.0012391,-0.0091651,-0.0086277,-0.0020669,0.0017783,0.0007229,0.0005986
Turkish_Deliorman,0.1114044,0.1034571,0.0193748,-0.0001211,0.0103864,0.0016388,0.00517,0.0066921,-0.0062891,-0.0010479,-0.0014819,-0.0035406,0.003066,0.0078789,-0.0086011,-0.00358,0.0023308,0.0018688,0.0023411,-0.0024388,-0.004882,-0.0011591,-0.0011555,0.0007984,-0.0001796

Теперь добавим в этот калькулятор основные народы Волжской Булгарии:
1) татары
2) чуваши
3) мишари
4) мокшане
5) марийцы
6) эрзяне
7) бесермяне
башкиры
9) коми
10) удмурты
Этот набор помещаем на вкладку TARGET:

Tatar_Kazan,0.1092702,0.0107019,0.0614126,0.0440274,-0.0058471,0.0094608,0.0081711,0.0109876,-0.0074572,-0.0219385,0.0025608,-0.0068479,0.0129221,-0.0073152,-0.0094378,-0.0036717,0.0015345,0.0001949,-0.0072615,-0.0042423,-0.0001632,0.0009035,-0.006845,0.0008527,-0.0001105
Chuvash,0.1095232,-0.0139917,0.0823798,0.0553048,-0.0143274,0.0059498,0.0137092,0.0165377,-0.0097717,-0.0343819,0.0182597,-0.0113733,0.0259826,-0.023243,-0.0261789,-0.0171041,-0.001724,-0.005152,-0.0254607,-0.0221772,0.0078473,0.003325,-0.0326196,0.0060916,-0.0015033
Tatar_Mishar,0.1162133,0.0372698,0.0644877,0.0478686,0.0088938,0.0152833,0.0090007,0.0132918,-0.0065242,-0.0189343,-0.0007145,-0.0057548,0.0153418,0.0050508,-0.0092155,-0.0050782,-0.0047067,-0.0023184,-0.0032933,-0.0025137,-0.000624,-0.0011377,-0.0047452,-0.0013254,0.0006706
Moksha,0.1267989,0.0885541,0.0724449,0.0615638,0.0239121,0.0203869,0.0098939,0.0131301,-0.0035382,-0.0277911,0.0010556,-0.0067139,0.0173785,0.0143128,-0.0123369,-0.0022142,0.0031293,-0.0011908,-0.0004779,-0.0025388,-0.0022959,-0.0033139,0.0038454,-0.0006147,0.0015686
Mari,0.1013024,-0.0507766,0.0928472,0.0614992,-0.029667,0.0006692,0.0115628,0.0184148,-0.0037224,-0.0393264,0.028288,-0.0152266,0.0344596,-0.03947,-0.0348802,-0.02376,-0.0049806,-0.008032,-0.038765,-0.0317402,0.0163212,0.0052924,-0.0506792,0.010869,-0.0021794
Erzya,0.127387,0.0819194,0.0728158,0.0672378,0.0236452,0.0202195,0.0105755,0.0129611,-0.0045335,-0.0284745,0.0007984,-0.0105654,0.0176907,0.0121336,-0.0121582,2.21e-05,0.0043244,-0.0002008,0.0014664,0.0012297,-0.0025892,-0.0021846,0.0035125,-0.0064667,0.0015468
Besermyan,0.10927,-0.0089705,0.0722187,0.06137,-0.0224657,0.0067862,0.0065408,0.0110378,-0.0106353,-0.028459,0.0135865,-0.0058697,0.0114222,-0.0257585,-0.0099302,-0.0071598,-0.007432,0.0009713,-0.0105377,-0.008379,-0.0017055,0.0040185,-0.0046013,0.0050808,-0.002415
Bashkir,0.0905077,-0.1023064,0.0636604,0.0317582,-0.0361655,-0.0029868,0.0086423,0.0111657,-0.00764,-0.0200813,0.0029597,-0.0040367,0.00985,-0.0193027,-0.0050303,-0.0030067,-0.0026161,-0.0010626,-0.0033006,-0.0025617,-0.0083483,0.0014998,-0.0022424,0.001376,-0.0018503
Komi,0.1187174,0.0307705,0.0850408,0.0682822,-0.0046161,0.0141677,0.0094945,0.0130841,-0.0030884,-0.0298138,0.0099383,-0.0086022,0.0182258,-0.0062204,-0.0087676,-0.0047601,-0.0014733,-0.0014444,-0.0039595,-0.0039646,0.0014723,-0.0011993,-0.0001234,0.0012051,0.0004191
Udmurt,0.10784,-0.0207012,0.0797175,0.0663144,-0.0305697,0.0088744,0.0086169,0.0107155,-0.0110547,-0.0356155,0.0211855,-0.0059946,0.0150719,-0.0308803,-0.0103913,-0.0054531,-0.0041823,-0.0010005,-0.009682,-0.0095879,0.0007358,0.0031516,-0.0043516,0.0081752,-0.0028033

Теперь дергаем RUN на вкладке MULTI и смотрим на результат. КМК, получилось правдоподобно.
1) Сортировка по булгарскому компоненту:

У народов, представляющих собой потомков 3 основных племен Волжской Булгарии, булгарский компонент оказался выше, чем у прочих.
Также, он оказался высоким у марийцев, что неудивительно, т.к. и у марийцев, и у чувашей аристократия звалась "черемис" (связано ли это как-то с Черемшаном?), т.е. интеграция  элит была на высоком уровне. Да и, по словам В.В. Напольских, марийцы зовут чувашей "суаз мари", т.е. "тюркоговорящий мариец" - возможно, что на правом берегу Волги тоже жили марийцы, которые были булгаризированы.
Высок он и у мокшан, а также у части эрзян:

Т.е., условно, эрзян можно разделить на 2 группы: "собственно эрзяне" и "мокшеподобные эрзяне", у которых булгарский компонент >5.5%. В.В. Напольских говорит, что, по языковым данным, эрзяне раньше жили западнее их нынешнего положения, а мокшане говорили на другом Ф-У языке, более близком к меряно-муромо-марийскому - на эрзяноподобный пиджин они перешли только с приходом эрзян с Запада. Если он прав, то у эрзян не было возможности соприкасаться с булгарами, а потому их булгаризация оказалась столь незначительной. Похоже, что после переселения эрзян, часть прамокшан была ассимилирована ими и от них происходят "мокшеподобные эрзяне".
У остальных народов Булгарии процент булгар очень низкий, но судить о верности такого положения я не могу.
2) Сортировка по кыпчакскому компоненту:

У народов, контактировавших с кыпчаками (башкиры, татары и мишари) процент кыпчаков высокий, а у остальных - низкий.
3) Сортировка по восточноевропейскому компоненту:

На 1-м месте эрзяне, у которых есть легенда о том, что верховный бог Пурьгине-паз женился на земной девушке-Литовке (это имя). Похожая легенда есть у финнов (суоми), но там верховный бог женится на земной девушке Суоми-тытар (дочь Суоми). Остальные тоже в пределах правдоподобия, но непонятен столь высокий уровень В. Европы у коми 

В общем, какой-никакой калькулятор у нас есть - можно идти дальше

[Daemon2017]

Переходим к использованию самого инструмента.

Для начала, построим PCA с нашими 10 главгероями + их соседями: это нужно для оценки работоспособности метода. Для этого, вот эти данные надо положить сюда https://vahaduo.github.io/custompca/ на вкладку SOURCE:

Lithuanian_PA,0.1337421,0.1241485,0.0796195,0.074613,0.0421616,0.0291092,0.0087244,0.0134128,-0.0037324,-0.0263102,-0.0035118,-0.0091044,0.0186756,0.0266472,-0.0118755,0.0034972,0.0042865,0.0010292,0.0039282,0.0012351,-0.0060519,-0.0032921,0.0093979,-0.006552,-0.0002845
Lithuanian_PZ,0.1356773,0.1255195,0.0883971,0.0871131,0.044562,0.035447,0.0106459,0.0156685,-0.0030065,-0.0347524,-0.0067879,-0.0129784,0.0230573,0.0315155,-0.0071118,-0.0032219,-0.0034813,-0.0016344,0.000817,0.0034265,-0.0023459,-0.0059477,0.0084426,-0.0090132,0.0005148
Lithuanian_RA,0.135108,0.1240977,0.083306,0.0805239,0.0431158,0.0294229,0.0123146,0.015207,-0.0044994,-0.0323469,-0.0030203,-0.012469,0.0240532,0.0300018,-0.0152957,0.0017237,0.0070014,-0.0013936,0.00494,0.0030138,-0.0053282,-0.0060342,0.010057,-0.0066392,-0.0003714
Lithuanian_SZ,0.1347664,0.1258242,0.0861344,0.0877268,0.0448392,0.0315424,0.0128081,0.0185529,-0.0019633,-0.0353537,-0.0039137,-0.0127386,0.0235031,0.0296026,-0.0123914,0.0018563,0.005111,-0.0012796,0.0020866,0.0021511,-0.0029574,-0.0067636,0.0070251,-0.0104229,0.0029337
Lithuanian_VA,0.1344249,0.1257226,0.0824762,0.0750975,0.0433311,0.027889,0.0099878,0.014884,-0.0020454,-0.0298685,-0.0029553,-0.0138328,0.0200394,0.0280062,-0.0110613,0.0029435,0.0061411,-0.0005702,0.0023129,0.0061155,-0.003731,-0.00481,0.0072346,-0.0078805,-0.0008622
Lithuanian_VZ,0.1372991,0.1261795,0.0850879,0.082365,0.0444314,0.0326652,0.0104872,0.0176242,-0.0036048,-0.0315269,-0.0036131,-0.0097039,0.0199762,0.0301394,-0.0104505,-0.0045578,-0.0006029,0.0012828,0.0032525,0.0013445,-0.0043829,-0.0056728,0.00835,-0.005874,-0.001317
Latvian,0.1354494,0.122473,0.0887742,0.089471,0.043208,0.0340246,0.0125966,0.0140762,-0.002168,-0.0368842,-0.0035728,-0.0138178,0.0232208,0.031378,-0.010559,0.0040572,0.0027118,-0.0003802,0.0016088,0.0043022,-0.0027952,-0.0057128,0.0090708,-0.0093264,0.0026346
Estonian,0.1329454,0.1141455,0.087756,0.0833017,0.0427771,0.0297575,0.0113745,0.0144457,0.0004091,-0.028447,6.5e-05,-0.0123489,0.0194597,0.0213591,-0.0066639,0.0017104,0.0002216,-0.0024832,0.0013451,0.0022137,0.001385,-0.0018672,0.0042644,0.0007471,0.0030535
Finnish_Central,0.1307702,0.0866587,0.0894194,0.0783096,0.029544,0.0241396,0.0104188,0.0150252,0.0031589,-0.0240551,0.0036089,-0.0063944,0.0127683,0.0054591,0.0020206,0.0005598,-0.0071857,-0.0004503,-5.59e-05,0.0026263,0.0080829,-0.0018683,0.0014791,0.0086489,0.0043376
Finnish_East,0.1258559,0.0787761,0.0943877,0.0838416,0.0273896,0.0208769,0.0075537,0.0139443,0.0045871,-0.0305897,0.0073771,-0.0079001,0.0162253,0.0020837,-0.0040716,0.0089024,0.0110083,-0.001647,-0.0013649,0.0060207,0.0097506,0.0011304,0.0011973,0.0080043,0.0020699
Finnish_North,0.1287623,0.0783226,0.0931489,0.0790139,0.027505,0.0245772,0.0089302,0.0152012,0.0047041,-0.0275405,0.0048109,-0.0070249,0.016241,0.0081198,0.0010349,-0.0079554,-0.017227,0.0012826,-0.0006286,0.002376,0.0092492,0.0004948,0.0006315,0.005859,0.005688
Finnish_Southeast,0.1320347,0.0907204,0.0884559,0.077197,0.0332711,0.0210717,0.009139,0.0140503,0.0028179,-0.0218277,0.0031036,-0.0058616,0.011513,0.0029819,0.0017644,0.0127138,0.012821,-0.0009854,-0.0015084,0.0082539,0.0081106,-0.0007694,0.0020541,0.0087963,-0.0009712
Finnish_Southwest,0.1313235,0.0968561,0.0863135,0.0721098,0.0337369,0.0229738,0.0085484,0.0140472,0.0044739,-0.0208888,0.0038974,-0.0058071,0.0114654,0.0085844,0.0052931,-0.0085686,-0.0201118,0.0014411,0.0015869,-0.0002189,0.006863,0.0005256,0.0027731,0.0051211,0.0039069
Russian_Belgorod,0.1354493,0.1221175,0.0695788,0.0566865,0.036853,0.019801,0.0119855,0.014134,-0.0043972,-0.0216862,-0.0020298,-0.0103035,0.0196975,0.0212972,-0.0130293,-0.0028838,0.005574,0.001077,0.0036138,0.0024075,-0.0037748,-0.0059045,0.005423,-0.006989,0.0009878
Russian_Kaluga,0.1320348,0.1180555,0.0774042,0.066215,0.03593,0.0239147,0.0060512,0.0136722,-0.0048065,-0.0235995,0.0009335,-0.011315,0.0194002,0.0254258,-0.0118078,-0.0046408,0.0013365,-0.003579,0.0006282,0.0054715,0.0003745,-0.001762,-0.0002465,-0.0061755,0.0006885
Russian_Kostroma,0.1282407,0.0873355,0.0814582,0.0680453,0.027441,0.0215208,0.0119073,0.0129993,-0.0033747,-0.0299475,0.0042222,-0.0074932,0.017963,0.0123402,-0.0091383,-0.0039112,0.0009127,-0.0016258,-0.0017597,0.0004792,6.23e-05,-0.0014427,0.0035947,-0.0006025,-0.0020557
Russian_Krasnoborsky,0.1278613,0.0766725,0.082715,0.0710062,0.0243633,0.0218465,0.0090872,0.0159993,0.0030337,-0.0290667,0.006333,-0.0108155,0.0194498,0.0119503,-0.0074643,-0.0025857,-0.000261,-0.0014357,-0.0008798,0.003731,0.002163,-0.001896,0.0023828,-0.0007228,-0.0005588
Russian_Kursk,0.1308964,0.1157701,0.0710872,0.0648019,0.0341601,0.023113,0.0103991,0.0121438,-0.0032469,-0.0255587,-0.0018066,-0.0080179,0.0183225,0.0206778,-0.0127748,0.0012101,0.0016136,-0.0008869,0.0023096,0.0012817,-0.002558,-0.0040188,0.0051146,-0.0058141,-0.0017214
Russian_Leshukonsky,0.1197416,0.043668,0.0909616,0.0796518,0.0096016,0.0161198,0.0137718,0.013753,-0.0021272,-0.035281,0.0133808,-0.0096814,0.0198906,0.00311,-0.0093374,-0.002148,-0.0002346,-0.0050168,-0.0058074,0.0004754,0.0026202,-0.0010884,-0.0002218,0.002193,0.0010298
Russian_Orel,0.1305861,0.1167859,0.0711387,0.0608121,0.0334886,0.0224127,0.0091653,0.0130274,-0.0047971,-0.0251321,-0.0017864,-0.0078475,0.0156365,0.0247095,-0.0115855,-0.0034354,-0.0003911,-0.0011862,0.0027882,0.0011938,-0.0037547,-0.0044065,0.0074172,-0.0055976,-0.0009906
Russian_Pinega,0.1248257,0.0636397,0.0945317,0.07752,0.02185,0.023241,0.0118287,0.0146147,0.0013637,-0.0311623,0.007091,-0.0119397,0.0239343,0.011331,-0.0102243,-0.0037567,-0.0039987,-0.0022803,-0.0051957,-0.001042,0.0076117,-0.0001233,0.0019717,-0.0024097,0.0020753
Russian_Pinezhsky,0.1240672,0.0625564,0.0922436,0.0802332,0.0189572,0.0216418,0.0082252,0.0146762,9e-04,-0.0323286,0.0090614,-0.016785,0.0205152,0.00567,-0.011645,-0.0029966,0.0019298,-0.0025084,0.0007794,0.005903,0.0083604,0.0008656,-0.0001972,0.0022172,0.0052926
Russian_Pskov,0.1299207,0.1192521,0.0805959,0.0747053,0.0381609,0.0255783,0.0118847,0.0148676,0.0002339,-0.0294961,4.64e-05,-0.013124,0.0191347,0.02605,-0.0072126,0.000322,0.0057743,-0.0042713,0.0001974,0.003162,-0.0022817,-0.0041336,0.0043666,-0.008366,0.0016421
Russian_Ryazan,0.1277666,0.1100158,0.0704272,0.0640886,0.0300312,0.0225669,0.0105558,0.0115188,-0.0036304,-0.02322,0.0002164,-0.0085049,0.0161296,0.0211138,-0.0127125,-0.0020661,0.0063562,-0.0022276,0.0009218,-0.0003544,-0.0054591,-0.0031635,0.0050017,-0.0023998,-6.98e-05
Russian_Smolensk,0.1321866,0.1242332,0.0715021,0.0654613,0.0393098,0.0252119,0.0112963,0.0128609,-0.0008043,-0.0248328,-0.0043845,-0.0082727,0.0169473,0.0282951,-0.0114004,-0.0060019,-0.0011734,-0.0019847,0.0029749,0.001951,-0.0025871,-0.0048471,0.0049217,-0.0059365,0.0017243
Russian_Tver,0.1296159,0.105869,0.0766026,0.0672244,0.0324289,0.0251699,0.009312,0.0125765,-0.0042438,-0.0264926,0.0009541,-0.0096478,0.0168171,0.0219511,-0.010162,0.0018729,0.0061605,-0.000206,-0.0001885,0.0021885,-0.0032286,-0.0048379,0.0087042,-0.0032685,-0.002305
Russian_Voronez,0.1308965,0.1216098,0.0735385,0.0608855,0.0360838,0.0225205,0.009694,0.011711,-0.0024542,-0.0240098,0.0008118,-0.0079052,0.017282,0.024359,-0.0136402,-0.0037125,0.0012385,0.0011085,0.0028285,0.0034392,-0.0023708,-0.0032148,0.0023725,-0.0050305,-0.0019758
Russian_Yaroslavl,0.1308963,0.1056153,0.0817097,0.0732133,0.0315953,0.0195223,0.0108887,0.0069997,-0.001159,-0.027457,-0.0004327,-0.0091417,0.016303,0.021882,-0.014115,-0.0017233,0.0043463,-0.0002113,0.0005447,0.0042103,-0.0065713,-0.0039567,-0.000986,-0.0014057,0.0025547
Karelian,0.1273094,0.0768108,0.093286,0.0808381,0.0275575,0.0224719,0.0102478,0.0152161,0.0017601,-0.0294117,0.0052308,-0.0110312,0.0189294,0.0089496,-0.00445,0.0013259,-0.0023746,-0.0014089,-0.0018435,0.0037822,0.0064659,-0.0009743,0.001154,0.0006975,0.0038138
Tatar_Kazan,0.1092702,0.0107019,0.0614126,0.0440274,-0.0058471,0.0094608,0.0081711,0.0109876,-0.0074572,-0.0219385,0.0025608,-0.0068479,0.0129221,-0.0073152,-0.0094378,-0.0036717,0.0015345,0.0001949,-0.0072615,-0.0042423,-0.0001632,0.0009035,-0.006845,0.0008527,-0.0001105
Chuvash,0.1095232,-0.0139917,0.0823798,0.0553048,-0.0143274,0.0059498,0.0137092,0.0165377,-0.0097717,-0.0343819,0.0182597,-0.0113733,0.0259826,-0.023243,-0.0261789,-0.0171041,-0.001724,-0.005152,-0.0254607,-0.0221772,0.0078473,0.003325,-0.0326196,0.0060916,-0.0015033
Tatar_Mishar,0.1162133,0.0372698,0.0644877,0.0478686,0.0088938,0.0152833,0.0090007,0.0132918,-0.0065242,-0.0189343,-0.0007145,-0.0057548,0.0153418,0.0050508,-0.0092155,-0.0050782,-0.0047067,-0.0023184,-0.0032933,-0.0025137,-0.000624,-0.0011377,-0.0047452,-0.0013254,0.0006706
Moksha,0.1267989,0.0885541,0.0724449,0.0615638,0.0239121,0.0203869,0.0098939,0.0131301,-0.0035382,-0.0277911,0.0010556,-0.0067139,0.0173785,0.0143128,-0.0123369,-0.0022142,0.0031293,-0.0011908,-0.0004779,-0.0025388,-0.0022959,-0.0033139,0.0038454,-0.0006147,0.0015686
Mari,0.1013024,-0.0507766,0.0928472,0.0614992,-0.029667,0.0006692,0.0115628,0.0184148,-0.0037224,-0.0393264,0.028288,-0.0152266,0.0344596,-0.03947,-0.0348802,-0.02376,-0.0049806,-0.008032,-0.038765,-0.0317402,0.0163212,0.0052924,-0.0506792,0.010869,-0.0021794
Erzya,0.127387,0.0819194,0.0728158,0.0672378,0.0236452,0.0202195,0.0105755,0.0129611,-0.0045335,-0.0284745,0.0007984,-0.0105654,0.0176907,0.0121336,-0.0121582,2.21e-05,0.0043244,-0.0002008,0.0014664,0.0012297,-0.0025892,-0.0021846,0.0035125,-0.0064667,0.0015468
Besermyan,0.10927,-0.0089705,0.0722187,0.06137,-0.0224657,0.0067862,0.0065408,0.0110378,-0.0106353,-0.028459,0.0135865,-0.0058697,0.0114222,-0.0257585,-0.0099302,-0.0071598,-0.007432,0.0009713,-0.0105377,-0.008379,-0.0017055,0.0040185,-0.0046013,0.0050808,-0.002415
Bashkir,0.0905077,-0.1023064,0.0636604,0.0317582,-0.0361655,-0.0029868,0.0086423,0.0111657,-0.00764,-0.0200813,0.0029597,-0.0040367,0.00985,-0.0193027,-0.0050303,-0.0030067,-0.0026161,-0.0010626,-0.0033006,-0.0025617,-0.0083483,0.0014998,-0.0022424,0.001376,-0.0018503
Komi,0.1187174,0.0307705,0.0850408,0.0682822,-0.0046161,0.0141677,0.0094945,0.0130841,-0.0030884,-0.0298138,0.0099383,-0.0086022,0.0182258,-0.0062204,-0.0087676,-0.0047601,-0.0014733,-0.0014444,-0.0039595,-0.0039646,0.0014723,-0.0011993,-0.0001234,0.0012051,0.0004191
Udmurt,0.10784,-0.0207012,0.0797175,0.0663144,-0.0305697,0.0088744,0.0086169,0.0107155,-0.0110547,-0.0356155,0.0211855,-0.0059946,0.0150719,-0.0308803,-0.0103913,-0.0054531,-0.0041823,-0.0010005,-0.009682,-0.0095879,0.0007358,0.0031516,-0.0043516,0.0081752,-0.0028033
Mansi,0.0858551,-0.1662567,0.1091496,0.0617391,-0.0731126,-0.0220721,0.0089639,0.0169443,0.0012563,-0.034833,0.0522891,-0.0038323,0.0196231,-0.0715246,-0.0247981,-0.0130504,0.0005961,-0.0012849,-0.0058359,-0.0123809,-0.0026739,0.0235293,0.0147899,-0.0036493,-0.0069283
Nogai,0.0745208,-0.1653521,0.0420822,-0.004294,-0.0290914,-0.011287,0.0098842,0.0118094,-0.0094321,-0.0041165,-0.0201648,-0.0024683,0.0012066,-0.0025176,0.0020917,-0.0007019,0.0011735,-6.72e-05,-8.88e-05,0.005098,-0.0090209,-0.0020804,-0.0094029,0.0013893,-0.0014229
Pamiri_Rushan,0.1000017,0.0451186,-0.0255366,0.0428667,-0.0437004,0.0255384,0.005405,-0.0021099,-0.0304156,-0.0293137,-0.008537,-0.0009206,-0.0017627,-0.012504,0.01712,0.0131074,-0.0043584,-0.0017194,0.0012391,-0.0091651,-0.0086277,-0.0020669,0.0017783,0.0007229,0.0005986
Turkish_Deliorman,0.1114044,0.1034571,0.0193748,-0.0001211,0.0103864,0.0016388,0.00517,0.0066921,-0.0062891,-0.0010479,-0.0014819,-0.0035406,0.003066,0.0078789,-0.0086011,-0.00358,0.0023308,0.0018688,0.0023411,-0.0024388,-0.004882,-0.0011591,-0.0011555,0.0007984,-0.0001796
Vepsian,0.128051,0.0723847,0.0918707,0.0796554,0.0249447,0.0203745,0.0108626,0.0158712,0.0029428,-0.0290768,0.0050341,-0.0117979,0.0223569,0.0118126,-0.0086559,-0.0015395,-0.0013618,0.000183,-0.0014804,0.0035711,0.0042841,-0.0025281,0.0006231,0.0009839,0.0038651
Ingrian,0.1297583,0.0900437,0.0898803,0.0756897,0.033032,0.0258437,0.009949,0.0129993,-0.0006137,-0.0265457,0.0031937,-0.0098913,0.0146183,0.0056883,-0.0029407,0.002696,-0.001608,-0.0005913,-0.0043573,0.004961,0.0040343,0.000165,0.007477,0.002008,0.0030337
Polish,0.1318405,0.1292694,0.0698685,0.0577382,0.0406754,0.0217127,0.0086781,0.0108626,-0.0009329,-0.0185524,-0.0043488,-0.0064187,0.013093,0.0186295,-0.0070244,-0.0005595,0.0015455,-7.41e-05,0.0026948,0.0012872,-0.0031286,-0.0031185,0.0056063,-0.0033328,-8.76e-05
Polish_Kashubian,0.1365878,0.1330343,0.0753298,0.0643577,0.0449312,0.0211958,0.010517,0.01223,-0.0035278,-0.0218685,-0.0041815,-0.005283,0.009217,0.0180628,-0.0026128,-0.0011602,-0.002021,-0.001077,0.0031738,0.001782,-0.0033378,-0.0047915,0.0044982,0.001536,0.0002095
Polish_Silesian,0.1314655,0.1304955,0.0705215,0.0499035,0.0375455,0.019383,0.0045825,0.0130375,0.000307,-0.014943,-0.001705,-0.0006745,0.0021555,0.0147945,-0.0070575,-0.0025855,0.010887,0,-0.0017595,0.002126,-0.00156,-0.002349,0.004252,0.007049,-0.000479
Czech,0.1311592,0.1318625,0.0604843,0.0472574,0.038658,0.0189217,0.0063451,0.0086623,0.0046724,-0.0088874,-0.0016862,-0.0038965,0.0060493,0.011772,0.0017435,0.0009995,-0.0006419,-0.0001462,0.0035679,0.0028956,-0.001267,-0.0001617,0.0065132,0.0039302,0.0015935
Ukrainian_Chernihiv,0.1322877,0.122992,0.0682168,0.0613341,0.04011,0.0232408,0.0098442,0.0135891,-0.0029087,-0.0230227,-0.0027788,-0.0084926,0.0184338,0.0247108,-0.0133007,-0.0001323,0.0037521,-0.0008023,0.0023187,-1.4e-05,-0.0026343,-0.0063751,0.0063267,-0.004378,0.0007583
Ukrainian_Dnipro,0.1304414,0.1163796,0.0697672,0.0592705,0.0359143,0.0213072,0.011351,0.0119764,-0.0027814,-0.0231985,-0.0029229,-0.0098312,0.0158622,0.0223362,-0.0106132,0.0010475,0.0031293,0.0015329,0.002514,0.0002501,-0.004405,-0.0055024,0.0044122,-0.002434,0.0007305
Ukrainian_Lviv,0.1321613,0.1279568,0.0622668,0.0474092,0.036451,0.0193984,0.0089041,0.0114354,0.0001136,-0.0148017,-0.0041679,-0.006361,0.0116287,0.0230593,-0.0097869,-0.0053624,-0.0016516,-0.001675,0.0048742,-0.0003611,-0.0047833,-0.004218,0.0047244,-0.0026376,-0.0017031
Ukrainian_Rivne,0.1301377,0.1243461,0.0702284,0.0625543,0.0392208,0.0211027,0.0096616,0.0104867,-0.0003636,-0.0209168,-0.0031214,-0.0085091,0.01442,0.0220808,-0.0131197,-0.0009428,0.0055342,-0.0017314,0.0032261,-0.000667,-0.0049217,-0.0036958,0.0048341,-0.0043109,0.0001066
Ukrainian_Sumy,0.1300998,0.1227776,0.0674668,0.0593351,0.0391458,0.0235942,0.0090008,0.0125303,-0.000409,-0.0213945,-0.0029881,-0.0092917,0.014658,0.0263823,-0.0121199,-0.0047601,-0.0026598,0.0001139,0.0033057,-0.0017883,-0.0044422,-0.0059229,0.0056817,-0.0073622,-0.0003832
Ukrainian_Zakarpattia,0.1289665,0.1262348,0.0575027,0.0417232,0.0342537,0.016794,0.008542,0.0087889,-0.0014939,-0.012598,-0.0012003,-0.0055711,0.0099086,0.0168317,-0.0113238,-0.0009223,0.0057539,-0.0011512,0.0020002,6.52e-05,-0.003548,-0.0035967,0.0040993,-0.0001571,-0.0002083
Ukrainian_Zhytomyr,0.1313841,0.1272314,0.0710604,0.0592936,0.0371497,0.0232674,0.0104747,0.0132521,-0.0029216,-0.0229097,-0.00341,-0.0100411,0.0147599,0.0242411,-0.0102954,-0.0041293,0.004582,-0.0006336,0.0036631,0.0006433,-0.0078433,-0.0031266,0.0046306,-0.0027714,0.0019331

А затем пройти на вкладку PCA PLOT и сперва дернуть RUN PCA, а затем PLOT PCA. Вертеть направление осей можно нажатием FLIP и повторным PLOT PCA.
Результат:


Теперь можно и повычитать что-нибудь из мокшан
1) в строку "Компонент" пихаем народ делиорманлы - их будем вычитать.
2) как мы знаем, у мокшан булгарский компонент =13.4, так что пихаем это значение в строку "Доля компонента (в процентах):"
3) в строку "Образцы:" кладем усредненного мокшанина
4) тыкаем "Subtract"
Результат (суффикс "_sub" проставляется автоматом):


Полученные значения пихаем на вкладку PROJECTED, чтобы эти синтетические значения не ушатали нам старый расклад популяций.
Повторно пересчитываем PCA и получаем вот такую неожиданную картину! Мокшане улетели наверх, но не до уровня эрзян, а прям совсем наверх - к русским Костромы. А ведь русские Костромы это ассимилированные меряне И вот тут начинаешь верить словам Напольских о том, что раньше мокшане говорили на меряно-муромо-марийском языке)


Теперь давайте вычитать остальных Главное - не забывать, что у каждого народа свой % булгарской компоненты и нужно подставлять именно его.
Вот результат:

Tatar_Kazan_sub,0.10882062276029056,-0.008837330992736073,0.07026802033898304,0.05332744721549637,-0.009266747699757868,0.011108533656174334,0.008803292978208232,0.011892463196125906,-0.007703264648910411,-0.026339183292978206,0.0034124099273607745,-0.007544595157384987,0.01499832445520581,-0.010515894188861983,-0.009614053995157383,-0.0036910169491525422,0.001366756416464891,-0.00015771331719128328,-0.009284323728813559,-0.004622214043583535,0.000830832929782082,0.001337994430992736,-0.008043514527845037,0.0008641384987893462,-9.594382566585956e-05
Chuvash_sub,0.1091487645083933,-0.03736879928057554,0.09492036354916067,0.06633681366906476,-0.01924645371702638,0.0068078647482014394,0.01540884892086331,0.018497375779376497,-0.010464879376498799,-0.04101672494004797,0.02218908321342926,-0.012932326618705036,0.030543937649880098,-0.02943752685851319,-0.029677598800959236,-0.01979594724220624,-0.0025310705035971226,-0.00654942541966427,-0.03099439160671463,-0.02610594628297362,0.01038094964028777,0.004217518705035971,-0.03888223860911271,0.007145162589928058,-0.0017667702637889687
Tatar_Mishar_sub,0.11707527264150944,0.025406038679245284,0.07257397452830189,0.05647052735849056,0.008626258490566039,0.017729012264150943,0.009687334905660379,0.014474765094339623,-0.006566340566037736,-0.02214035283018868,-0.0005769471698113208,-0.006151684905660378,0.017542179245283018,0.00454387641509434,-0.009325628301886792,-0.005346745283018868,-0.005968138679245284,-0.0030689358490566037,-0.004303239622641509,-0.002527125471698113,0.0001392264150943396,-0.0011338641509433963,-0.00538863679245283,-0.0017060811320754718,0.0008229943396226416
Moksha_sub,0.12918095889145495,0.08624809307159353,0.08065667066974597,0.0711085766743649,0.026004991224018472,0.02328787621247113,0.010624849884526558,0.01412628013856813,-0.003112541108545035,-0.03192919330254041,0.0014482385681293304,-0.00720491870669746,0.01959313625866051,0.015308345727482681,-0.012914956812933025,-0.002002863741339492,0.003252855427251732,-0.001664225404157044,-0.0009140963048498846,-0.002554273441108545,-0.0018957413394919168,-0.0036473217090069285,0.0046192113163972285,-0.0008333551963048499,0.0018391066974595845
Mari_sub,0.10015495679287305,-0.06829534988864142,0.10119261737193763,0.06849838775055679,-0.03421649532293986,0.0005590672605790645,0.012288930957683741,0.019746331625835185,-0.0034308594654788417,-0.043674291982182624,0.03166943630289532,-0.01655396302895323,0.03802546547884186,-0.044848160133630285,-0.03786513118040089,-0.02605216035634744,-0.005811070824053452,-0.009156589755011135,-0.043434067037861915,-0.03506842138084632,0.018729581291759466,0.0060251984409799555,-0.0563043864142539,0.012012876614699332,-0.0024065487750556795
Erzya_sub,0.12829932600422833,0.08068997526427062,0.07586634334038055,0.07108281120507401,0.024402044820295985,0.021280131923890066,0.010884059196617337,0.013318949894291755,-0.004433286046511628,-0.030040077589852013,0.0009285651162790698,-0.010966392811839325,0.018525513742071884,0.012376468710359408,-0.01236124799154334,0.00022771670190274845,0.0044381995771670185,-0.00031893784355179703,0.0014164699788583512,0.0014391069767441863,-0.002458321353065539,-0.0022431380549682877,0.00377896088794926,-0.006881409725158562,0.0016453471458773787
Besermyan_sub,0.10917642505219208,-0.013899476200417538,0.0745354471816284,0.06406585198329853,-0.02390597995824635,0.007011868893528185,0.006600897703549061,0.011228321294363257,-0.010825843215031317,-0.02966073924843424,0.014247118789144052,-0.005971810855949896,0.011788546972860126,-0.027233208559498956,-0.009988469519832986,-0.007316743215031316,-0.007860014196242172,0.0009319524008350731,-0.011102323799582465,-0.008639426304801669,-0.0015662379958246348,0.0042454929018789144,-0.00475236847599165,0.005268546137787057,-0.002513002922755741

И новый PCA - видно, что все образцы сдвинулись в противоположную от делиорманлы сторону: мишари без булгарской компоненты стали чуть ближе с Коми без булгарского компонента, татары - с бесермянами, а чуваши - с марийцами.

[Daemon2017]

Ну и, наконец, можно добавить _sub образцы в калькулятор и увидеть, что компонента делиорманлы обнулилась, т.е. формула albino in the black отработала как надо.


Если в чем и есть проблемы, так это в моем самопальном калькуляторе - он здесь слабое звено

[Daemon2017]

Вычитать можно сразу из нескольких значений. Например, для среднестатистического мокшанина значение булгарской компоненты =13.4, а значит справедливо вычесть это среднее значение из вообще всех мокшан.
Единственный косяк: суффикс _sub должен прибавляться к имени популяции, а не к конкретному образцу - исправлю в будущем, а пока починил ручками.


Результат - все кучно сдвинулись наверх:

[albino in the black]

я забабахал Web-приложуху, которая позволяет применять эту формулу быстро и сразу над множеством образцов:
https://daemon2017.github.io/auCalculator/

Ого, круто иметь такую штуку! Я-то всё  вручную делал.

[Farroukh]

забабахал Web-приложуху, которая позволяет применять эту формулу быстро и сразу над множеством образцов:

Всячески поддерживаю наших Кулибиных! Думаю, после отладки и доводки базы эталонных носителей этот продукт вполне завоюет авторитет.

[Daemon2017]

Спасибо за похвалу! 

Единственный косяк: суффикс _sub должен прибавляться к имени популяции, а не к конкретному образцу - исправлю в будущем, а пока починил ручками.

Этот дефект зачинил - теперь суффикс ставится там, где должен быть: после названия популяции, а не образца

Erzya_sub:MOE-001,0.1273404277136259,0.0766325041570439,0.08670990392609701,0.07013883071593534,0.031086861893764434,0.024865358891454966,0.012769307159353347,0.015485287066974596,-0.0051677374133949185,-0.032875960046189374,0.004917522632794458,-0.008450992609699769,0.026132974595842955,0.018803957736720556,-0.0163781207852194,0.0023911316397228636,0.0043067815242494225,0.0010272295612009238,0.000362924480369515,-0.0062658207852194,-0.004144124711316397,-0.013528499538106236,-0.0019563083140877596,-0.0140380896073903,0.004591300692840646
Erzya_sub:MOE-002,0.12471225219399537,0.06607823163972286,0.06885540046189377,0.08393906166281756,0.02184667713625866,0.017781063279445727,0.018196558891454967,0.016018774364896075,-0.003749723556581986,-0.03245563672055427,0.004166945265588915,-0.007931362124711317,0.024932050808314087,0.002594950808314088,-0.008229160046189376,-0.0023548267898383375,-0.0008121561200923787,0.004830924711316397,0.0023952570438799075,-0.007276213394919169,-0.0073138706697459584,-0.009672841339491917,0.00516031986143187,-0.010558874826789837,0.003761046651270208
Erzya_sub:MOE-010,0.1273404277136259,0.06490617621247113,0.08366140508083142,0.07386862286374134,0.014029125173210161,0.017781063279445727,0.008969076212471132,0.014152723556581986,-0.006820162355658198,-0.030350555889145495,-0.0016459877598152426,-0.011911731639722863,0.018064845265588915,0.00640903856812933,-0.006818074595842955,0.005913071593533488,0.022523871593533487,0.004392125635103926,-0.0019592464203233256,0.011063278521939954,0.00089975519630485,0.008746327251732102,0.0010321443418013856,-0.006802523787528868,-0.004535720092378753
Erzya_sub:MOE-036,0.12996975796766744,0.07897776974595842,0.07843623187066975,0.07312266443418014,0.023268155196304846,0.02454434272517321,0.017382471131639723,0.010422931408775982,-0.0023328644341801385,-0.03329743810623556,0.0034175226327944576,-0.006893255889145497,0.011198794457274825,0.010063772979214783,-0.011990130023094688,-0.005111177829099306,0.008221331177829099,-0.0059947103926097,-0.009941925404157044,0.0062976896073903,-0.006017103926096998,-0.004246744341801386,-0.004090257505773672,-0.00847226974595843,0.0009954577367205543
Erzya_sub:MOE-043,0.12339816443418013,0.06842349722863741,0.08322607020785219,0.07685245658198614,0.020780857274826786,0.028085913163972288,0.015211570438799076,0.012554571131639724,-0.0035141577367205543,-0.03350759976905312,0.0015422339491916858,-0.01589210115473441,0.019094868360277135,0.011812040877598153,-0.015908143879907622,0.00438189376443418,0.006715557505773672,-0.012139052193995381,0.002976088452655889,0.007164895150115474,-0.009042508083140877,-0.001819492609699769,0.008860088914549653,-0.005967650808314088,0.0011340258660508082
Erzya_sub:MOE-045,0.1286556702078522,0.07076876281755196,0.08148357598152425,0.07834437344110855,0.025045291454965358,0.020035104849884525,0.00842635103926097,0.010688520323325637,-0.008237021478060047,-0.03434940115473441,0.005104589607390301,-0.012258151963048499,0.0194389792147806,0.007997953117782909,-0.01230421778290993,0.0004003695150115474,0.003855280369515012,-0.0004358189376443418,-0.002684419630484989,-0.0006330263279445728,0.009256568129330255,-0.0035331184757505774,-0.005941296766743649,-0.015429544572748267,0.0008568896073903003
Erzya_sub:MOE-475,0.13654135150115476,0.08366830092378752,0.08975840277136259,0.08431204087759814,0.025045291454965358,0.022611317321016164,0.004084549653579677,0.022680437182448037,0.005223717551963048,-0.0351912025404157,0.0013540122401847574,-0.010181939491916859,0.020469002309468822,0.020552225635103925,-0.018886203926097,-0.012459907621247114,-0.0005107704387990762,-0.004239514087759816,0.0007994140877598152,-0.001067206466512702,0.00089975519630485,0.00032253972286374135,0.01170650923787529,-0.0027667270207852195,-0.01020431131639723
Erzya_sub:MOE-485,0.1312838457274827,0.07545929399538107,0.07887156674364897,0.08095522794457274,0.030731203695150113,0.021966975519630484,0.014940207852193996,0.012554571131639724,-0.010362887528868358,-0.02719466674364896,0.0007916565819861432,-0.019872470669745956,0.018408956120092378,0.0091099623556582,-0.013871192378752886,0.017395750577367208,0.01379176997690531,0.004245474364896073,0.01066892909930716,0.008175287759815244,-0.006737658198614319,-0.0002490538106235566,0.006013668591224018,-0.0004018309468822171,0.014684834180138568
Erzya_sub:MOE-491,0.1273404277136259,0.08366830092378752,0.07712907251732101,0.07498756050808314,0.03357415981524249,0.02550970069284065,0.015482933025404157,0.014686210854503464,-0.013905612702078522,-0.025931387297921476,-0.0037083434180138564,-0.009835519168591225,0.013430896073903003,0.014991024711316399,-0.011050176212471133,-0.001436812933025404,0.004608167205542725,0.004245474364896073,0.000362924480369515,-0.0022219408775981525,-0.007745741339491917,-0.0076739960739030015,0.008290804849884526,-0.002349867898383372,0.008877674826789838
Erzya_sub:MOE-492,0.13654135150115476,0.091877307852194,0.08453207482678983,0.07013883071593534,0.02113651547344111,0.02744272609699769,0.00788362586605081,0.010422931408775982,-0.0035141577367205543,-0.03140251893764434,-0.0033330547344110856,-0.01606531131639723,0.020469002309468822,0.012129592840646653,-0.013557104618937645,-0.007560369515011547,-0.006533865127020786,-0.0021910152424942262,0.0025407535796766745,0.0013877588914549654,0.0034932886836027714,-0.0043899314087759815,0.007010204387990762,-0.012228620785219399,0.00016635842956120095
Erzya_sub:MOE-495,0.13654135150115476,0.10712211154734412,0.07669373764434181,0.09065268752886836,0.028599563972286374,0.022933488221709007,0.008969076212471132,0.015485287066974596,0.011129029330254043,-0.037084966974595845,-0.005958920785219399,-0.012084941801385682,0.02166992609699769,0.022300493533487297,-0.01089313233256351,0.0031567205542725172,-0.0009634263279445727,0.004830924711316397,0.005443755889145497,0.007597920554272517,0.001620309468822171,0.0017497914549653582,0.010567941108545035,-0.008054255889145497,0.0029319473441108542
Erzya_sub:MOE-497,0.1286556702078522,0.07545929399538107,0.08366140508083142,0.07461458129330255,0.03321850161662817,0.023577830023094687,0.004627274826789839,0.012021083833718244,-0.00989060115473441,-0.03897873140877599,0.0071669452655889155,-0.008450992609699769,0.026132974595842955,0.016738137875288685,-0.012617150808314086,0.002237551963048499,0.000392231870669746,-0.0048238096997690535,0.005008421016166282,-0.002654966281755196,-0.001982461893764434,0.006175888452655889,0.004163784064665128,-0.004019613856812933,-0.0014929949191685912

[Daemon2017]

Добавил возможность прибавлять выбранный % выбранной компоненты. Формула почти та же (но тут общий диапазон не сужаем, а расширяем) - думаю, что годится:
(sample_G_N_component_value + (G_N_component_percent / 100) * G_N_component_value) / (1 + (G_N_component_percent / 100))
где N - номер координаты G25 (от 1 до 25).

Выбор действия Subtract/Add осуществяется через выпадашку на UI.
https://daemon2017.github.io/auCalculator/

Например, у эрзян ногайский (кыпчакский) компонент =0%


А дистанция от эрзян до ногайцев =0.27548746


Прибавляем эрзянам 20% ногаичности/ногайскости


И теперь дистанция до ногайцев сократилась и стала =0.22957288
0.27548746/0.22957288=1.20, т.е. стали ближе на =20%, которые мы и прибавляли


В режиме MULTI не всё так идеально: часть компонента размазало по соседям и прирост не 20%, а чуть меньше, но от этого не убежать:


Кстати, для вычитания режим DISTANCE показывает сводное поведение: у "сырых" эрзян дистанция до народа делиорманлы =0.09937725, а если вычесть из эрзян все имеющиеся у них 5.4% делиорманского (булгарского) компонента, то дистанция будет 0.10504995
0.09937725/0.10504995=0.9459, т.е. стали дальше на =5.4%, которые мы вычли

Попробовал добавить к изначальным литовцам 25% венецианцев(итальянцев)/македонцев(греков)/осетин

[Daemon2017]

Стало неудобно бегать на https://www.exploreyourdna.com/average-g25.aspx за усреднялкой, так что прикрутил усреднялку себе



Результат

average,0.1279374,0.14095560000000001,0.0583784,0.0324292,0.04160760000000001,0.006191199999999999,0.001269,0.007245799999999999,0.006381199999999999,0.0117722,-0.0021436,0.0054551999999999995,-0.013885,-0.012936599999999998,0.0135992,0.0069742,0.0008867999999999998,0.0005573999999999999,-0.003595,0.0057776,0.0073122000000000005,0.002003,-0.0041903999999999995,0.009109599999999999,-0.0046224000000000005

такой же, как у французов:

14_Calvados,0.1279374,0.1409556,0.0583784,0.0324292,0.0416076,0.0061912,0.001269,0.0072458,0.0063812,0.0117722,-0.0021436,0.0054552,-0.013885,-0.0129366,0.0135992,0.0069742,0.0008868,0.0005574,-0.003595,0.0057776,0.0073122,0.002003,-0.0041904,0.0091096,-0.0046224