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HO v62 Deep Model British Isles and Western Scandinavia

Oblitervict
Apr 18th, 2026
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  1. ADMIXTOOLS 2 qpAdm was run with allsnps = TRUE for English.HO, Scottish.HO, Icelandic.HO, Orcadian.HO, and Norwegian.HO using Russia_Samara_EBA_Yamnaya.AG, Turkey_Marmara_Barcin_N.DG, and Luxembourg_Mesolithic.DG as sources and the specified right-population set.
  2. SNP count(HO v62): 578,116 SNPs
  3.  
  4. poplist = c('English.HO','Scottish.HO','Icelandic.HO','Orcadian.HO','Norwegian.HO')
  5. left = c('Russia_Samara_EBA_Yamnaya.AG','Turkey_Marmara_Barcin_N.DG','Luxembourg_Mesolithic.DG')
  6. right = c('Australian.DG','Iran_Wezmeh_N.SG','Georgia_Satsurblia_LateUP.SG','Italy_Epigravettian.AG','Russia_Sidelkino_HG.SG','Russia_MA1_UP.SG','Turkey_Central_Boncuklu_PPN.AG','Tajikistan_Mesolithic.AG','Israel_Natufian_I1072.AG')
  7.  
  8. > results$weights
  9. # A tibble: 3 × 5
  10. target left weight se z
  11. <chr> <chr> <dbl> <dbl> <dbl>
  12. 1 Scottish.HO Russia_Samara_EBA_Yamnaya.AG 0.530 0.0199 26.7
  13. 2 Scottish.HO Turkey_Marmara_Barcin_N.DG 0.356 0.0168 21.2
  14. 3 Scottish.HO Luxembourg_Mesolithic.DG 0.114 0.00919 12.4
  15. > results$popdrop
  16. # A tibble: 7 × 14
  17. pat wt dof chisq p f4rank Russia_Samara_EBA_Yamnaya…¹ Turkey_Marmara_Barci…² Luxembourg_Mesolithi…³ feasible best
  18. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl> <lgl>
  19. 1 000 0 6 2.72 8.43e- 1 2 0.530 0.356 0.114 TRUE NA
  20. 2 001 1 7 167. 8.99e- 33 1 0.654 0.346 NA TRUE TRUE
  21. 3 010 1 7 452. 1.78e- 93 1 0.921 NA 0.0791 TRUE TRUE
  22. 4 100 1 7 453. 9.24e- 94 1 NA 0.792 0.208 TRUE TRUE
  23. 5 011 2 8 532. 1.04e-109 0 1 NA NA TRUE NA
  24. 6 101 2 8 736. 1.33e-153 0 NA 1 NA TRUE NA
  25. 7 110 2 8 2748. 0 0 NA NA 1 TRUE NA
  26. # ℹ abbreviated names: ¹​Russia_Samara_EBA_Yamnaya.AG, ²​Turkey_Marmara_Barcin_N.DG, ³​Luxembourg_Mesolithic.DG
  27. # ℹ 3 more variables: dofdiff <dbl>, chisqdiff <dbl>, p_nested <dbl>
  28.  
  29. > results$weights
  30. # A tibble: 3 × 5
  31. target left weight se z
  32. <chr> <chr> <dbl> <dbl> <dbl>
  33. 1 Icelandic.HO Russia_Samara_EBA_Yamnaya.AG 0.512 0.0159 32.2
  34. 2 Icelandic.HO Turkey_Marmara_Barcin_N.DG 0.363 0.0133 27.2
  35. 3 Icelandic.HO Luxembourg_Mesolithic.DG 0.125 0.00745 16.8
  36. > results$popdrop
  37. # A tibble: 7 × 14
  38. pat wt dof chisq p f4rank Russia_Samara_EBA_Yamnaya…¹ Turkey_Marmara_Barci…² Luxembourg_Mesolithi…³ feasible best
  39. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl> <lgl>
  40. 1 000 0 6 3.49 7.46e- 1 2 0.512 0.363 0.125 TRUE NA
  41. 2 001 1 7 291. 6.14e- 59 1 0.644 0.356 NA TRUE TRUE
  42. 3 010 1 7 625. 9.15e-131 1 0.924 NA 0.0759 TRUE TRUE
  43. 4 100 1 7 504. 1.39e-104 1 NA 0.783 0.217 TRUE TRUE
  44. 5 011 2 8 710. 5.46e-148 0 1 NA NA TRUE NA
  45. 6 101 2 8 828. 1.56e-173 0 NA 1 NA TRUE NA
  46. 7 110 2 8 2788. 0 0 NA NA 1 TRUE NA
  47. # ℹ abbreviated names: ¹​Russia_Samara_EBA_Yamnaya.AG, ²​Turkey_Marmara_Barcin_N.DG, ³​Luxembourg_Mesolithic.DG
  48. # ℹ 3 more variables: dofdiff <dbl>, chisqdiff <dbl>, p_nested <dbl>
  49.  
  50. > results$weights
  51. # A tibble: 3 × 5
  52. target left weight se z
  53. <chr> <chr> <dbl> <dbl> <dbl>
  54. 1 Orcadian.HO Russia_Samara_EBA_Yamnaya.AG 0.519 0.0158 32.9
  55. 2 Orcadian.HO Turkey_Marmara_Barcin_N.DG 0.375 0.0135 27.8
  56. 3 Orcadian.HO Luxembourg_Mesolithic.DG 0.106 0.00732 14.5
  57. > results$popdrop
  58. # A tibble: 7 × 14
  59. pat wt dof chisq p f4rank Russia_Samara_EBA_Yamnaya…¹ Turkey_Marmara_Barci…² Luxembourg_Mesolithi…³ feasible best
  60. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl> <lgl>
  61. 1 000 0 6 5.43 4.91e- 1 2 0.519 0.375 0.106 TRUE NA
  62. 2 001 1 7 218. 1.82e- 43 1 0.631 0.369 NA TRUE TRUE
  63. 3 010 1 7 649. 6.60e-136 1 0.946 NA 0.0543 TRUE TRUE
  64. 4 100 1 7 502. 2.85e-104 1 NA 0.808 0.192 TRUE TRUE
  65. 5 011 2 8 694. 1.21e-144 0 1 NA NA TRUE NA
  66. 6 101 2 8 767. 3.22e-160 0 NA 1 NA TRUE NA
  67. 7 110 2 8 2889. 0 0 NA NA 1 TRUE NA
  68. # ℹ abbreviated names: ¹​Russia_Samara_EBA_Yamnaya.AG, ²​Turkey_Marmara_Barcin_N.DG, ³​Luxembourg_Mesolithic.DG
  69. # ℹ 3 more variables: dofdiff <dbl>, chisqdiff <dbl>, p_nested <dbl>
  70.  
  71. > results$weights
  72. # A tibble: 3 × 5
  73. target left weight se z
  74. <chr> <chr> <dbl> <dbl> <dbl>
  75. 1 Norwegian.HO Russia_Samara_EBA_Yamnaya.AG 0.526 0.0154 34.1
  76. 2 Norwegian.HO Turkey_Marmara_Barcin_N.DG 0.358 0.0134 26.7
  77. 3 Norwegian.HO Luxembourg_Mesolithic.DG 0.116 0.00721 16.1
  78. > results$popdrop
  79. # A tibble: 7 × 14
  80. pat wt dof chisq p f4rank Russia_Samara_EBA_Yamnaya…¹ Turkey_Marmara_Barci…² Luxembourg_Mesolithi…³ feasible best
  81. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl> <lgl>
  82. 1 000 0 6 3.59 7.32e- 1 2 0.526 0.358 0.116 TRUE NA
  83. 2 001 1 7 270. 1.84e- 54 1 0.641 0.359 NA TRUE TRUE
  84. 3 010 1 7 612. 5.93e-128 1 0.928 NA 0.0723 TRUE TRUE
  85. 4 100 1 7 517. 1.93e-107 1 NA 0.801 0.199 TRUE TRUE
  86. 5 011 2 8 688. 3.07e-143 0 1 NA NA TRUE NA
  87. 6 101 2 8 793. 6.88e-166 0 NA 1 NA TRUE NA
  88. 7 110 2 8 2801. 0 0 NA NA 1 TRUE NA
  89. # ℹ abbreviated names: ¹​Russia_Samara_EBA_Yamnaya.AG, ²​Turkey_Marmara_Barcin_N.DG, ³​Luxembourg_Mesolithic.DG
  90. # ℹ 3 more variables: dofdiff <dbl>, chisqdiff <dbl>, p_nested <dbl>
  91.  
  92. > results$weights
  93. # A tibble: 3 × 5
  94. target left weight se z
  95. <chr> <chr> <dbl> <dbl> <dbl>
  96. 1 English.HO Russia_Samara_EBA_Yamnaya.AG 0.482 0.0158 30.4
  97. 2 English.HO Turkey_Marmara_Barcin_N.DG 0.413 0.0144 28.7
  98. 3 English.HO Luxembourg_Mesolithic.DG 0.105 0.00736 14.2
  99. > results$popdrop
  100. # A tibble: 7 × 14
  101. pat wt dof chisq p f4rank Russia_Samara_EBA_Yamnaya…¹ Turkey_Marmara_Barci…² Luxembourg_Mesolithi…³ feasible best
  102. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl> <lgl>
  103. 1 000 0 6 5.22 5.16e- 1 2 0.482 0.413 0.105 TRUE NA
  104. 2 001 1 7 206. 5.10e- 41 1 0.559 0.441 NA TRUE TRUE
  105. 3 010 1 7 735. 1.92e-154 1 0.943 NA 0.0569 TRUE TRUE
  106. 4 100 1 7 443. 1.18e- 91 1 NA 0.824 0.176 TRUE TRUE
  107. 5 011 2 8 791. 1.97e-165 0 1 NA NA TRUE NA
  108. 6 101 2 8 666. 1.27e-138 0 NA 1 NA TRUE NA
  109. 7 110 2 8 2935. 0 0 NA NA 1 TRUE NA
  110. # ℹ abbreviated names: ¹​Russia_Samara_EBA_Yamnaya.AG, ²​Turkey_Marmara_Barcin_N.DG, ³​Luxembourg_Mesolithic.DG
  111. # ℹ 3 more variables: dofdiff <dbl>, chisqdiff <dbl>, p_nested <dbl>
  112.  
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