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Thread: New Simulated AASI G25 Coordinates (+ Updates)

  1. #311
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    Y-DNA (M)
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    Quote Originally Posted by Kapisa View Post
    No it's not Saka-Parthian mixed! This individuals remains were found within the city wall from that early historic Saka to Parthian time period. Mitochondrial DNA is also local.
    Maybe compared to other samples in the series it is a little bit outlier that's why it is written as Saka-parthian Barikot everywhere. The next on 7715 shows up as mtDNA: M49 Y-DNA: J1b (F1614) ISOGG 2020 but there is distance between the 2 Barikot samples
    Y: H1a1a4b3b1a8 Yfull id-> YF83218
    Medals->Hidden Content
    mtDNA:U2a1a2
    G25 Ancients Dist 1.0 IRN_Shahr_I_Sokhta_BA2 88.4 MAR_Taforalt 2.6NPL_Mebrak 5
    VK2020_SWE_Gotland_VA 4 Hidden Content

    Lactose Persistence rs3213871 rs4988243 rs4988183 rs3769005 rs2236783
    found -> DA125, Kangju

  2. #312
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    Quote Originally Posted by Tsakhur View Post
    Decided to post SE Asians as they also receive gene flows from the Indian subcontinent. I omit the Siberian_N as it seems to be absorbing some of the West Eurasian ancestry of SE Asians.

    Target: Burmese
    Distance: 1.7519% / 0.01751917
    35.8 CHN_Miaozigou_MN
    28.8 LAO_LN_BA
    17.8 E_Asian_N
    10.0 AASI
    3.4 Iran_N
    1.8 Corded_Ware
    1.0 Anatolia_N
    0.8 CHG
    0.6 Papuan

    Also Burmese but this time using Chokhopani instead of Miaozigou, seems to be absorbing their West Eurasian ancestry a bit while greatly decreasing their AASI.

    Target: Burmese
    Distance: 1.2129% / 0.01212921
    55.6 NPL_Chokhopani_2700BP
    30.0 LAO_LN_BA
    5.8 E_Asian_N
    3.8 Iran_N
    3.0 AASI
    1.0 Anatolia_N
    0.8 RUS_Khvalynsk_En


    Target: Thai
    Distance: 1.6984% / 0.01698380
    46.0 LAO_LN_BA
    29.0 E_Asian_N
    12.2 Igorot
    5.6 Iran_N
    4.4 AASI
    1.6 Corded_Ware
    1.0 Anatolia_N
    0.2 Papuan

    Target: Cambodian
    Distance: 1.5659% / 0.01565852
    62.4 LAO_LN_BA
    24.0 E_Asian_N
    8.6 Igorot
    1.8 AASI
    1.6 Iran_N
    1.4 RUS_Khvalynsk_En
    0.2 Anatolia_N

    Most West Eurasian shifted Cambodian individual in the dataset (the Cambodian average has elevated Sinitic admixture which means recent Chinese ancestry, as you can be see by how much lower E_Asian_N this sample has):

    Target: Cambodian:HGDP00713
    Distance: 2.1030% / 0.02102979
    73.0 LAO_LN_BA
    12.0 E_Asian_N
    6.8 Igorot
    3.0 AASI
    2.8 Iran_N
    2.4 Anatolia_N

    Target: Malay
    Distance: 1.1798% / 0.01179757
    51.0 LAO_LN_BA
    33.0 Igorot
    5.4 CHN_Miaozigou_MN
    4.8 Iran_N
    2.4 Papuan
    2.0 AASI
    0.6 WHG
    0.4 E_Asian_N
    0.2 Anatolia_N
    0.2 Levant_N

    Target: Filipino
    Distance: 0.7364% / 0.00736442
    69.0 Igorot
    13.8 LAO_LN_BA
    7.4 E_Asian_N
    2.2 Papuan
    1.8 Levant_N
    1.4 Anatolia_N
    1.2 AASI
    1.2 CHN_Miaozigou_MN
    0.8 Iran_N
    0.8 RUS_Khvalynsk_En
    0.4 African_N

    Target: Luzon
    Distance: 0.6141% / 0.00614127
    66.8 Igorot
    13.0 LAO_LN_BA
    12.6 E_Asian_N
    2.8 AASI
    1.2 Levant_N
    1.2 Papuan
    0.8 Anatolia_N
    0.8 RUS_Khvalynsk_En
    0.6 Iran_N
    0.2 African_N

    Target: Vizayan
    Distance: 1.1764% / 0.01176398
    76.8 Igorot
    11.0 LAO_LN_BA
    4.6 Papuan
    2.8 AASI
    2.4 Levant_N
    1.0 CHN_Miaozigou_MN
    0.8 RUS_Khvalynsk_En
    0.6 African_N

    Western Indonesians

    Target: Batak_Toba_Sumatra
    Distance: 0.9549% / 0.00954934
    46.4 Igorot
    39.2 LAO_LN_BA
    5.6 AASI
    4.6 Iran_N
    1.8 RUS_Khvalynsk_En
    1.4 Papuan
    0.8 Levant_N
    0.2 African_N

    Target: Indonesian_Java
    Distance: 1.5900% / 0.01589986
    77.4 LAO_LN_BA
    19.6 Igorot
    1.6 Iran_N
    1.2 Papuan
    0.2 AASI

    Target: Indonesian_Bali
    Distance: 1.5058% / 0.01505833
    69.6 LAO_LN_BA
    24.2 Igorot
    3.0 Iran_N
    2.4 Papuan
    0.6 AASI
    0.2 Levant_N

    Eastern Indonesians

    Target: Bajo
    Distance: 1.0693% / 0.01069284
    51.8 Igorot
    26.8 LAO_LN_BA
    17.0 Papuan
    2.0 AASI
    1.0 Levant_N
    0.6 Iran_N
    0.4 African_N
    0.2 CHN_Miaozigou_MN
    0.2 RUS_Khvalynsk_En

    Most West Eurasian-shifted Bajo individual.

    Target: Bajo:GS000017004
    Distance: 1.3229% / 0.01322868
    47.8 Igorot
    26.8 Papuan
    18.8 LAO_LN_BA
    2.6 AASI
    1.4 E_Asian_N
    1.2 RUS_Khvalynsk_En
    1.0 Levant_N
    0.2 African_N
    0.2 WHG

    Target: Mandar_Sulawesi
    Distance: 1.1521% / 0.01152123
    61.2 Igorot
    28.0 LAO_LN_BA
    8.4 Papuan
    1.0 Levant_N
    0.8 AASI
    0.6 Iran_N

    Target: Anakalang
    Distance: 1.2245% / 0.01224486
    45.6 Igorot
    28.0 LAO_LN_BA
    23.8 Papuan
    1.2 AASI
    0.6 Iran_N
    0.4 African_N
    0.4 Anatolia_N

    Target: Kambera_Rindi
    Distance: 1.5341% / 0.01534113
    44.4 Igorot
    30.2 LAO_LN_BA
    22.8 Papuan
    1.4 AASI
    0.4 African_N
    0.4 Iran_N
    0.2 Levant_N
    0.2 RUS_Khvalynsk_En

    Target: Kambera_Wunga
    Distance: 0.9772% / 0.00977180
    46.2 Igorot
    28.6 LAO_LN_BA
    23.0 Papuan
    0.8 AASI
    0.8 Iran_N
    0.4 African_N
    0.2 WHG

    Target: Manggarai_Rampasasa
    Distance: 1.3598% / 0.01359787
    41.8 LAO_LN_BA
    32.0 Igorot
    23.0 Papuan
    1.4 Iran_N
    1.0 AASI
    0.4 RUS_Khvalynsk_En
    0.2 African_N
    0.2 Levant_N

    Target: Ngadha_Bena
    Distance: 1.0138% / 0.01013788
    33.6 Papuan
    31.6 Igorot
    29.4 LAO_LN_BA
    2.0 AASI
    2.0 Iran_N
    0.6 Levant_N
    0.6 RUS_Khvalynsk_En
    0.2 African_N

    Target: Lamaholot_Bama_Flores
    Distance: 0.9225% / 0.00922462
    38.6 Igorot
    35.4 Papuan
    19.8 LAO_LN_BA
    3.2 AASI
    1.4 Levant_N
    0.8 Iran_N
    0.6 RUS_Khvalynsk_En
    0.2 African_N

    Target: Lamaholot_Lembata_Hadakewa
    Distance: 0.9153% / 0.00915254
    39.4 Igorot
    37.8 Papuan
    16.6 LAO_LN_BA
    3.6 AASI
    1.0 Iran_N
    0.8 African_N
    0.6 Levant_N
    0.2 RUS_Khvalynsk_En

    Target: Pantar
    Distance: 0.8897% / 0.00889680
    48.4 Papuan
    33.6 Igorot
    12.6 LAO_LN_BA
    2.8 AASI
    0.8 Iran_N
    0.6 African_N
    0.6 Levant_N
    0.4 Anatolia_N
    0.2 RUS_Khvalynsk_En

    Target: Alor
    Distance: 0.7200% / 0.00720012
    52.2 Papuan
    31.2 Igorot
    11.8 LAO_LN_BA
    2.2 AASI
    0.8 African_N
    0.6 Anatolia_N
    0.6 Iran_N
    0.4 RUS_Khvalynsk_En
    0.2 Levant_N

    Target: Tetum_Kamanasa
    Distance: 0.9664% / 0.00966374
    44.0 Igorot
    40.8 Papuan
    11.8 LAO_LN_BA
    1.4 AASI
    1.0 Iran_N
    0.6 Levant_N
    0.2 African_N
    0.2 RUS_Khvalynsk_En

    Target: Tetum_Umaklaran
    Distance: 2.0240% / 0.02023979
    39.0 Igorot
    36.4 Papuan
    21.4 LAO_LN_BA
    1.8 AASI
    1.4 African_N

    Target: Tetum_Umanen_Lawalu
    Distance: 0.9107% / 0.00910675
    44.0 Igorot
    37.4 Papuan
    14.6 LAO_LN_BA
    2.2 AASI
    1.6 Iran_N
    0.2 African_N

    -You can clearly see the cline between Western Indonesians such as Batak Toba, Javanese, Balinese and Eastern Indonesians such as Bajo (Sulawesi), Manggarai_Rampasasa (Flores), Kambera (Sumba), Lamaholot_Hadakewa (Lembata) and Tetum (Timor) very easily in terms of their AASI, Oceanian and West Eurasian inputs. It's fascinating how South Asian ancestry managed to reach even as far as Timor, Pantar and Alor islands in Eastern Indonesia as can be seen by the Tetum(local ethnic group in Timor), Pantar and Alor samples scoring minor amounts of AASI, Iran_N and Khvalynsk_EN.

    Were there ancient Indian sailors who sailed as far deep into the Pacific as far as New Guinea or Australia? (Timor, Pantar and Alor are very close to Australia) There's some evidence that Indians could have arrived in Australia 4000 years ago: https://www.scientificamerican.com/a...000-years-ago/

    https://www.abc.net.au/news/2013-01-...tralia/4466382

    So if Indians can reach as far as Australia, why couldn't they also sail to those Indonesian islands?

    -The Burmese seems to be genetically distinct from their neighbors; they are the only SE Asian population to require a specific Tibeto-Burman derived gene flow represented by the Miaozigou_MN from China. I also utilized Chokhopani but it seems to slightly eat up a bit of their West Eurasian ancestry and significantly decreased their AASI input by quite a lot.
    Laos_LN is Austroasiatic sample that's 1/3 hoabinhian. AASI affinities could get suck in that

  3. The Following User Says Thank You to Diictodon For This Useful Post:

     Tsakhur (09-15-2021)

  4. #313
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    Quote Originally Posted by scobar View Post
    Here's a model I tried (scaled co-ords, nMonte3, 1000 cycles, batch=500, default penalty) -

    Code:
    ,PC1,PC2,PC3,PC4,PC5,PC6,PC7,PC8,PC9,PC10,PC11,PC12,PC13,PC14,PC15,PC16,PC17,PC18,PC19,PC20,PC21,PC22,PC23,PC24,PC25
    Anatolia_Barcin_N,0.1175998,0.180118,0.0035312,-0.101158,0.0510443,-0.0483875,-0.0043582,-0.0069334,0.0362287,0.0807473,0.0079718,0.0118803,-0.0234545,0.0004691,-0.0419807,-0.0101913,0.0233091,0.0019866,0.0136954,-0.0097489,-0.0142249,0.0057723,-0.0041232,-0.0031658,-0.0043437
    TJK_Sarazm_En,0.084798,0.059916,-0.1057825,0.044251,-0.1227925,0.038208,0.0062275,-0.0101535,-0.0811955,-0.0646025,0.002842,0.009067,-0.008994,-0.014313,0.0313515,0.0177005,-0.0182535,-0.002344,0.001257,-0.0243865,-0.005802,-0.00983,0.0069015,-0.0172915,0.009221
    NPL_Chokhopani_2700BP,0.012521,-0.410274,-0.011691,-0.031331,0.017542,0.011435,0.00658,0.011999,0.010022,0.021139,-0.081194,-0.006444,0.010109,-0.004679,-0.011401,0,0.011213,-0.001267,-0.009302,0.009379,0.004991,0.029306,0.004314,0.003615,0.031734
    RUS_Sintashta_MLBA,0.125433,0.116075,0.0576869,0.0787689,0.0113968,0.0284096,0.0056636,0.0042383,-0.0176231,-0.028034,-0.0025766,0.0013488,-0.0032061,-0.0215196,0.0225975,0.0126579,-0.004885,0.0004476,-0.0002933,-0.0006753,-0.0061142,0.0023618,0.0026497,0.007033,-0.0041074
    RUS_West_Siberia_N,0.1058555,-0.060424,0.0974855,0.199292,-0.082631,0.045738,-0.0419495,-0.0471905,-0.0334395,-0.09212,0.0194865,-0.0106405,0.0273535,-0.071908,0.0259225,0.01664,-0.01356,-0.0065875,-0.000377,0.0032515,-0.0301345,0.0109435,0.024095,0.0074705,-0.010119
    Onge,-0.0225251,-0.2445288,-0.1324289,0.095965,0.0299327,-0.0047557,-0.0076438,0.0075786,0.0548233,0.0244388,0.023495,0.0032182,-0.0040608,0.0084746,-0.0126933,-0.0111446,0.010918,-0.0016203,-0.0059807,0.0288295,-0.0037107,0.0096905,-0.0128242,-0.0011225,0.0043426
    Jarawa,-0.0219821,-0.2430289,-0.1324164,0.0986968,0.0323713,-0.0045841,-0.01012,0.0065044,0.0546974,0.0238044,0.0228054,0.0027349,-0.0041532,0.0103562,-0.0108067,-0.0114441,0.0094529,-0.0019082,-0.0062221,0.0286778,-0.0046401,0.0111366,-0.0123402,0.0022668,0.0049844
    IRN_Shahr_I_Sokhta_BA1,0.073985,0.062455,-0.138215,0.021641,-0.109559,0.0283075,0.0062275,-0.0019615,-0.061562,-0.0346245,-0.001786,-0.00045,-0.005203,-0.0035785,0.019883,0.0332135,-0.0034555,0.003991,-0.000503,-0.0274505,0.0048045,-0.0150855,-0.003821,-0.0218705,0.0194595
    IRN_Shahr_I_Sokhta_BA2,0.05805,0.015233,-0.152734,0.07106,-0.116945,0.054384,0.011516,0.006231,-0.029042,-0.02606,0.000325,0.003897,0.001041,-0.013074,0.020222,0.013657,-0.012126,0.00038,0.000126,-0.02001,0.001123,-0.018795,-0.002342,-0.017111,0.002155
    IRN_Shahr_I_Sokhta_BA3,0.033009,-0.081242,-0.180641,0.120157,-0.097557,0.065539,0.0047,0.009461,0.035996,0.026789,-0.002273,0.003747,-0.005649,0.007982,0.003529,0.003182,0.008736,0.001647,0.000126,-0.002001,0.001373,-0.008161,0.000246,-0.001928,-0.008023
    RUS_Srubnaya_Alakul_MLBA,0.1283672,0.1055022,0.0565263,0.0834058,0.0063259,0.0330021,0.0055096,0.0044358,-0.0177708,-0.0348072,-0.0021293,-0.0015654,-0.0023124,-0.0199401,0.0242338,0.0099441,-0.0082141,0.000549,0,0.0013479,-0.001234,0.0026103,0.0037386,0.004686,0.0004791
    RUS_Srubnaya_MLBA,0.1262297,0.1155672,0.0576241,0.0816867,0.0060934,0.0318772,0.0041595,0.0053536,-0.0194297,-0.0315086,-0.0010716,0.0019184,-0.0039841,-0.016666,0.0225973,0.0074514,-0.0133775,0.0016977,0.0007544,0.0012631,-0.0022709,0.0051686,-0.0006285,0.0047355,-0.0005988
    RUS_Steppe_Maykop,0.108132,0.0187872,0.0362977,0.1403442,-0.0751678,0.045041,-0.0202108,-0.030345,-0.056602,-0.0813685,0.0159548,-0.0038965,0.0097002,-0.0416652,0.0296208,0.0196562,-0.0051502,-0.0040858,-0.0053422,0.006722,-0.0177187,0.0061825,0.0135575,0.0056935,-0.0054188
    S_AASI_Sim_Pulliyar,-0.004810655,-0.212137156,-0.203515802,0.148876368,-0.031558109,0.053539852,-0.011510205,0.024112889,0.125139446,0.089041726,0.000713882,-0.003792554,-0.000836537,0.024717049,-0.049653257,-0.032409686,0.023256422,0.001963602,0.003977382,0.044586008,0.007150366,0.028673754,-0.011179757,0.016897181,-0.011729691
    S_AASI_Sim_Irula,-0.009525226,-0.239836772,-0.208951108,0.15454375,-0.020718969,0.056088654,-0.012872771,0.020823205,0.131311868,0.088651109,0.000283925,-0.001321365,0.001259261,0.018812454,-0.040159185,-0.037173939,0.01966007,-0.002000181,-0.002444666,0.043405215,0.009660745,0.021705468,-0.00888917,0.013704877,-0.009439234
    S_AASI_Sim_Hakkipikki,-0.017354205,-0.304894303,-0.268679085,0.181329575,-0.039351991,0.073271504,-0.022843875,0.037359828,0.187881353,0.126707043,-0.010024877,-0.004718921,0.008198494,0.036303194,-0.056184046,-0.072647447,-0.011352189,0.00825265,0.004209097,0.038425578,0.00661663,0.026988706,0.007609686,0.01678573,-0.009232161
    S_AASI_Sim_Mala,0.003619659,-0.232207345,-0.238759358,0.177803307,-0.049846413,0.074427442,-0.013528674,0.028614532,0.145189154,0.099856405,-0.009629229,-0.007501248,0.004294371,0.024294913,-0.044886968,-0.038569947,0.008810692,-0.004591174,-0.004761423,0.029743743,0.014289671,0.018672895,0.00018522,0.016546395,-0.013074696
    Khatri avg

     
    Model minus sims

    "distance%=2.2728" - Khatri

    IRN_Shahr_I_Sokhta_BA2,49.2
    IRN_Shahr_I_Sokhta_BA3,15.6
    IRN_Shahr_I_Sokhta_BA1,7.6
    Anatolia_Barcin_N,4.4
    RUS_Sintashta_MLBA,4
    RUS_Steppe_Maykop,3.8
    RUS_Srubnaya_MLBA,3
    RUS_Srubnaya_Alakul_MLBA,2.8
    RUS_West_Siberia_N,2.8
    Jarawa,2.6
    NPL_Chokhopani_2700BP,2.2
    Onge,2

    Model w/ sims

    "distance%=1.64" - Khatri

    IRN_Shahr_I_Sokhta_BA2,34.4
    IRN_Shahr_I_Sokhta_BA1,17.2
    IRN_Shahr_I_Sokhta_BA3,9.2
    RUS_Sintashta_MLBA,5.4
    TJK_Sarazm_En,4.6
    RUS_Steppe_Maykop,4.4
    Anatolia_Barcin_N,3.8
    RUS_Srubnaya_MLBA,3.8
    RUS_Srubnaya_Alakul_MLBA,3.4
    S_AASI_Sim_Pulliyar,2.8
    S_AASI_Sim_Hakkipikki,2.6
    S_AASI_Sim_Mala,2.6
    RUS_West_Siberia_N,2.2
    S_AASI_Sim_Irula,1.6
    NPL_Chokhopani_2700BP,1.2
    Jarawa,0.6
    Onge,0.2


    Mine

     
    Model minus sims

    "distance%=3.5516" - Scobar_scaled

    IRN_Shahr_I_Sokhta_BA3,59.4
    IRN_Shahr_I_Sokhta_BA2,12.2
    IRN_Shahr_I_Sokhta_BA1,6
    Onge,5.8
    Anatolia_Barcin_N,4.2
    Jarawa,3.8
    TJK_Sarazm_En,2.4
    RUS_Sintashta_MLBA,1.4
    RUS_Srubnaya_Alakul_MLBA,1.4
    RUS_Srubnaya_MLBA,1.4
    NPL_Chokhopani_2700BP,1.2
    RUS_Steppe_Maykop,0.8

    Model w/ sims

    "distance%=2.8742" - Scobar_scaled

    IRN_Shahr_I_Sokhta_BA3,43.8
    IRN_Shahr_I_Sokhta_BA1,12.6
    IRN_Shahr_I_Sokhta_BA2,11.4
    S_AASI_Sim_Irula,5.2
    S_AASI_Sim_Pulliyar,5
    Anatolia_Barcin_N,4
    RUS_Sintashta_MLBA,2.8
    RUS_Srubnaya_MLBA,2.6
    TJK_Sarazm_En,2.6
    RUS_Srubnaya_Alakul_MLBA,2.4
    S_AASI_Sim_Mala,2.4
    Jarawa,2.2
    Onge,2.2
    NPL_Chokhopani_2700BP,0.6
    S_AASI_Sim_Hakkipikki,0.2


    26284729292

     
    With sims

    "distance%=2.4981" - 2xx_scaled

    IRN_Shahr_I_Sokhta_BA3,56.2
    IRN_Shahr_I_Sokhta_BA1,8.4
    IRN_Shahr_I_Sokhta_BA2,7.8
    RUS_Sintashta_MLBA,3
    S_AASI_Sim_Mala,3
    S_AASI_Sim_Pulliyar,2.8
    RUS_Srubnaya_MLBA,2.6
    RUS_Steppe_Maykop,2.4
    Anatolia_Barcin_N,2.2
    RUS_Srubnaya_Alakul_MLBA,2.2
    S_AASI_Sim_Irula,2.2
    TJK_Sarazm_En,2.2
    S_AASI_Sim_Hakkipikki,1.6
    RUS_West_Siberia_N,1.4
    NPL_Chokhopani_2700BP,1
    Onge,0.6
    Jarawa,0.4

    Without sims

    "distance%=3.0729" - 2xx_scaled

    IRN_Shahr_I_Sokhta_BA3,68.6
    IRN_Shahr_I_Sokhta_BA2,8.4
    IRN_Shahr_I_Sokhta_BA1,3.8
    Onge,3.2
    RUS_Srubnaya_MLBA,3
    Jarawa,2.8
    TJK_Sarazm_En,2.4
    RUS_Srubnaya_Alakul_MLBA,2
    Anatolia_Barcin_N,1.4
    RUS_Sintashta_MLBA,1.4
    RUS_Steppe_Maykop,1.4
    RUS_West_Siberia_N,1
    NPL_Chokhopani_2700BP,0.6
    Not sure how relevant this is with the new updates, however this is one of the better fits I've gotten so far:

    Target: desi_scaled
    Distance: 2.2358% / 0.02235812
    25.0 IRN_Shahr_I_Sokhta_BA2
    25.0 RUS_Sintashta_MLBA
    21.4 IRN_Shahr_I_Sokhta_BA1
    13.0 S_AASI_Sim_Hakkipikki
    12.4 IRN_Shahr_I_Sokhta_BA3
    2.0 Anatolia_Barcin_N
    1.2 TJK_Sarazm_En

    Distance to: desi_scaled
    0.08843269 IRN_Shahr_I_Sokhta_BA2
    0.13442431 IRN_Shahr_I_Sokhta_BA1
    0.13577458 IRN_Shahr_I_Sokhta_BA3
    0.14881303 TJK_Sarazm_En
    0.21204526 RUS_Steppe_Maykop
    0.22771914 RUS_Srubnaya_Alakul_MLBA
    0.23204011 RUS_Srubnaya_MLBA
    0.23383070 RUS_Sintashta_MLBA
    0.29751773 Jarawa
    0.29821482 Onge
    0.29914857 RUS_West_Siberia_N
    0.31711894 S_AASI_Sim_Pulliyar
    0.34068425 S_AASI_Sim_Irula
    0.34111755 Anatolia_Barcin_N
    0.35424538 S_AASI_Sim_Mala
    0.45258258 S_AASI_Sim_Hakkipikki
    0.46634950 NPL_Chokhopani_2700BP

  5. #314
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    Y-DNA (P)
    Q2b
    mtDNA (M)
    T2

    Target: P2L_scaled
    Distance: 1.7756% / 0.01775649
    24.6 TJK_Sarazm_En
    21.0 IRN_Shahr_I_Sokhta_BA3
    16.2 RUS_Sintashta_MLBA
    11.0 IRN_Shahr_I_Sokhta_BA2
    9.8 Anatolia_Barcin_N
    7.4 IRN_Shahr_I_Sokhta_BA1
    4.0 S_AASI_Sim_Hakkipikki
    3.6 RUS_Srubnaya_MLBA
    2.4 NPL_Chokhopani_2700BP

  6. #315
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    United States of America Pakistan
    Quote Originally Posted by tipirneni View Post
    Maybe compared to other samples in the series it is a little bit outlier that's why it is written as Saka-parthian Barikot everywhere. The next on 7715 shows up as mtDNA: M49 Y-DNA: J1b (F1614) ISOGG 2020 but there is distance between the 2 Barikot samples
    Its not a genetic outlier from the other two samples even though Saka-Parthian is from early historic period and the other two are from medieval period. The cluster relatively close to each other.
     

    distance: 2.13
    sample: Kapisa (Kapisa)
    CG IVCp • IRN Shahr I Sokhta BA2 I8728: 42.5
    Dzharkutan1 BA • Average: 37.5
    Srubnaya Alakul MLBA • Average: 17
    Chokhopani 2700BP • Average: 3

    sample: Kapisa:Kapisa-Dad
    distance: 2.0944
    Shahr_I_Sokhta_BA2 • I8728: 41.5
    Bustan_BA • Average: 37
    Srubnaya_Alakul_MLBA • Average: 19
    Chokhopani_2700BP • Average: 2.5

  7. The Following User Says Thank You to Kapisa For This Useful Post:

     tipirneni (08-16-2021)

  8. #316
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    Quote Originally Posted by Path2light21 View Post
    Target: P2L_scaled
    Distance: 1.7756% / 0.01775649
    24.6 TJK_Sarazm_En
    21.0 IRN_Shahr_I_Sokhta_BA3
    16.2 RUS_Sintashta_MLBA
    11.0 IRN_Shahr_I_Sokhta_BA2
    9.8 Anatolia_Barcin_N
    7.4 IRN_Shahr_I_Sokhta_BA1
    4.0 S_AASI_Sim_Hakkipikki
    3.6 RUS_Srubnaya_MLBA
    2.4 NPL_Chokhopani_2700BP
    The above model is not ideal for Pashtuns or Kashmiris either. There is no need for RN_Shahr_I_Sokhta_BA3 when IRN_Shahr_I_Sokhta_BA2 is present or vice versa.
     

    distance: 2.13
    sample: Kapisa (Kapisa)
    CG IVCp • IRN Shahr I Sokhta BA2 I8728: 42.5
    Dzharkutan1 BA • Average: 37.5
    Srubnaya Alakul MLBA • Average: 17
    Chokhopani 2700BP • Average: 3

    sample: Kapisa:Kapisa-Dad
    distance: 2.0944
    Shahr_I_Sokhta_BA2 • I8728: 41.5
    Bustan_BA • Average: 37
    Srubnaya_Alakul_MLBA • Average: 19
    Chokhopani_2700BP • Average: 2.5

  9. The Following 2 Users Say Thank You to Kapisa For This Useful Post:

     Path2light21 (08-16-2021),  vishankar (09-12-2021)

  10. #317
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    USA
    Ethnicity
    Gujarati Brahmin
    Nationality
    American
    Y-DNA (P)
    R-Y1283 (R2)
    mtDNA (M)
    U2a1a

    Target: vintagestrat_scaled
    Distance: 2.3203% / 0.02320323
    28.4 IRN_Shahr_I_Sokhta_BA2
    22.2 RUS_Srubnaya_MLBA
    20.8 S_AASI_Sim_Hakkipikki
    20.6 TJK_Sarazm_En
    4.2 IRN_Shahr_I_Sokhta_BA1
    3.4 IRN_Shahr_I_Sokhta_BA3
    0.4 Anatolia_Barcin_N

    Distance to: vintagestrat_scaled
    0.09328610 IRN_Shahr_I_Sokhta_BA2
    0.11350642 IRN_Shahr_I_Sokhta_BA3
    0.15348925 IRN_Shahr_I_Sokhta_BA1
    0.16423921 TJK_Sarazm_En
    0.22033675 RUS_Steppe_Maykop
    0.24806176 RUS_Srubnaya_Alakul_MLBA
    0.25271197 RUS_Srubnaya_MLBA
    0.25543721 RUS_Sintashta_MLBA
    0.28247726 Jarawa
    0.28318864 Onge
    0.29541391 S_AASI_Sim_Pulliyar
    0.29764114 RUS_West_Siberia_N
    0.31863125 S_AASI_Sim_Irula
    0.33029799 S_AASI_Sim_Mala
    0.36491705 Anatolia_Barcin_N
    0.42841276 S_AASI_Sim_Hakkipikki
    0.45035541 NPL_Chokhopani_2700BP

    Target: vintagestrat_scaled
    Distance: 2.3299% / 0.02329884
    43.0 Iran_N
    25.6 AASI
    21.2 Corded_Ware
    3.8 Levant_N
    3.2 E_Asian_N
    1.8 Anatolia_N
    1.4 Siberian_N

    Target: Vintagestrat_scaled
    Distance: 2.8639% / 0.02863940
    46.4 Iran_N
    24.2 AASI
    12.0 Siberian_N
    10.0 Anatolia_N
    3.4 Levant_N
    2.2 WHG
    1.8 E_Asian_N
    Last edited by Vintagestrat; 09-10-2021 at 09:02 PM.
    Target: vintagestrat_scaled
    Distance: 2.9599% / 0.02959869
    61.4 IRN_Shahr_I_Sokhta_BA3
    22.8 RUS_Sintashta_MLBA
    15.0 UZB_Bustan_BA
    0.8 NPL_Chokhopani_2700BP

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     Samand (09-10-2021),  Sapporo (09-11-2021)

  12. #318
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    R-Y6

    Mine:


    Target: Ali_Raza_scaled
    Distance: 1.4964% / 0.01496392
    40.0 IRN_Shahr_I_Sokhta_BA2
    24.0 IRN_Shahr_I_Sokhta_BA3
    9.8 RUS_Sintashta_MLBA
    9.0 Anatolia_Barcin_N
    6.4 S_AASI_Sim_Irula
    4.0 NPL_Chokhopani_2700BP
    2.8 RUS_Steppe_Maykop
    1.8 S_AASI_Sim_Hakkipikki
    1.2 RUS_West_Siberia_N
    1.0 TJK_Sarazm_En

    Uncles:
    Target: AliRaza_scaled
    Distance: 1.6503% / 0.01650287
    39.0 IRN_Shahr_I_Sokhta_BA2
    11.2 Anatolia_Barcin_N
    10.6 IRN_Shahr_I_Sokhta_BA1
    10.2 S_AASI_Sim_Hakkipikki
    9.6 RUS_Sintashta_MLBA
    8.4 IRN_Shahr_I_Sokhta_BA3
    5.4 RUS_West_Siberia_N
    3.6 NPL_Chokhopani_2700BP
    2.0 S_AASI_Sim_Mala

    What is the difference between IRN Shahr I Soktha BA1, BA1, and BA3?

  13. The Following User Says Thank You to Raza94 For This Useful Post:

     MonkeyDLuffy (09-14-2021)

  14. #319
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    Quote Originally Posted by Raza94 View Post

    What is the difference between IRN Shahr I Soktha BA1, BA1, and BA3?
    Read this short thread. Pretty sure their ANF+AASI levels are what differentiates the 3. Tried to recreate them, this is with default pen off-


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     Raza94 (09-15-2021)

  16. #320
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    Quote Originally Posted by Diictodon View Post
    Laos_LN is Austroasiatic sample that's 1/3 hoabinhian. AASI affinities could get suck in that
    That's makes sense. Could be why I managed to model many Indonesians who have actual Indian/South Asian ancestry without needing to add an AASI proxy into the runs and still get decent fits.
    Last edited by Tsakhur; 09-15-2021 at 05:15 AM.

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     Diictodon (09-15-2021)

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