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RG701

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Jun 19th, 2022
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  1. popleft: pleftA.txt
  2. popright: pRightC.tx
  3. fstatsoutname: fstats.tx
  4. allsnps: YES
  5. ## qpAdm version: 1201
  6. seed: -1850907926
  7. read 1073741824 bytes
  8. read 2147483648 bytes
  9. read 3213231878 bytes
  10. packed geno read OK
  11. end of inpack
  12.  
  13. left pops:
  14. Turkey_N
  15. Pinarbasi
  16. Satsurblia_HG
  17. Jordan_PPNB
  18.  
  19. right pops:
  20. Cameroon_SMA.DG
  21. Morocco_Iberomaurusian
  22. MA1
  23. Brazil_LapaDoSanto_9600BP
  24. Iran_GanjDareh_N
  25. Kostenki14a
  26. Tianyuan
  27. WSHG1
  28. Tagliente_LPaleolithic
  29. Mongolia_North_N
  30. Russia_HG_Karelia
  31.  
  32. 0 Turkey_N 16
  33. 1 Pinarbasi 1
  34. 2 Satsurblia_HG 1
  35. 3 Jordan_PPNB 3
  36. 4 Cameroon_SMA.DG 1
  37. 5 Morocco_Iberomaurusian 6
  38. 6 MA1 1
  39. 7 Brazil_LapaDoSanto_9600BP 4
  40. 8 Iran_GanjDareh_N 8
  41. 9 Kostenki14a 1
  42. 10 Tianyuan 1
  43. 11 WSHG1 1
  44. 12 Tagliente_LPaleolithic 1
  45. 13 Mongolia_North_N 5
  46. 14 Russia_HG_Karelia 2
  47. jackknife block size: 0.050
  48. snps: 1150172 indivs: 52
  49. number of blocks for block jackknife: 714
  50. ## ncols: 1150172
  51. coverage: Turkey_N 1131246
  52. coverage: Pinarbasi 848431
  53. coverage: Satsurblia_HG 801311
  54. coverage: Jordan_PPNB 258760
  55. coverage: Cameroon_SMA.DG 1140138
  56. coverage: Morocco_Iberomaurusian 1101342
  57. coverage: MA1 805960
  58. coverage: Brazil_LapaDoSanto_9600BP 883139
  59. coverage: Iran_GanjDareh_N 1057358
  60. coverage: Kostenki14a 1068326
  61. coverage: Tianyuan 885079
  62. coverage: WSHG1 805417
  63. coverage: Tagliente_LPaleolithic 186096
  64. coverage: Mongolia_North_N 1057834
  65. coverage: Russia_HG_Karelia 1010733
  66. Effective number of blocks: 614.917
  67. numsnps used: 1150172
  68. codimension 1
  69. f4info:
  70. f4rank: 2 dof: 8 chisq: 13.340 tail: 0.10066741 dofdiff: 10 chisqdiff: -13.340 taildiff: 1
  71. B:
  72. scale 1.000 1.000
  73. Morocco_Iberomaurusian 2.121 -1.766
  74. MA1 -0.038 1.231
  75. Brazil_LapaDoSanto_9600BP 0.281 0.929
  76. Iran_GanjDareh_N -1.391 0.608
  77. Kostenki14a 1.376 0.854
  78. Tianyuan 0.373 0.309
  79. WSHG1 0.100 1.006
  80. Tagliente_LPaleolithic 0.673 0.246
  81. Mongolia_North_N 0.452 0.737
  82. Russia_HG_Karelia 0.887 1.302
  83. A:
  84. scale 1184.246 2186.103
  85. Pinarbasi 0.707 1.395
  86. Satsurblia_HG -1.580 0.457
  87. Jordan_PPNB -0.051 -0.920
  88.  
  89.  
  90. full rank
  91. f4info:
  92. f4rank: 3 dof: 0 chisq: 0.000 tail: 1 dofdiff: 8 chisqdiff: 13.340 taildiff: 0.10066741
  93. B:
  94. scale 1762.705 676.353 1725.676
  95. Morocco_Iberomaurusian -0.575 -2.346 0.742
  96. MA1 0.906 0.140 -0.986
  97. Brazil_LapaDoSanto_9600BP 0.242 -0.360 -1.227
  98. Iran_GanjDareh_N -1.932 1.078 -0.881
  99. Kostenki14a 1.686 -1.299 -0.934
  100. Tianyuan 0.031 -0.423 -0.597
  101. WSHG1 0.133 -0.114 -1.231
  102. Tagliente_LPaleolithic 0.604 -0.657 -0.459
  103. Mongolia_North_N 0.678 -0.429 -0.892
  104. Russia_HG_Karelia 1.171 -0.830 -1.564
  105. A:
  106. scale 1.732 1.732 1.732
  107. Pinarbasi 1.732 0.000 0.000
  108. Satsurblia_HG 0.000 1.732 0.000
  109. Jordan_PPNB 0.000 0.000 1.732
  110.  
  111.  
  112. best coefficients: 0.322 0.126 0.551
  113. Jackknife mean: 0.320027746 0.126290608 0.553681646
  114. std. errors: 0.063 0.026 0.071
  115.  
  116. error covariance (* 1,000,000)
  117. 3994 196 -4190
  118. 196 702 -898
  119. -4190 -898 5088
  120.  
  121.  
  122. summ: Turkey_N 3 0.100667 0.320 0.126 0.554 3994 196 -4190 702 -898 ...
  123. 5088
  124.  
  125. fixed pat wt dof chisq tail prob
  126. 000 0 8 13.340 0.100667 0.322 0.126 0.551
  127. 001 1 9 38.923 1.18952e-05 0.806 0.194 0.000
  128. 010 1 9 36.209 3.63955e-05 0.393 0.000 0.607
  129. 100 1 9 48.090 2.45729e-07 0.000 0.107 0.893
  130. 011 2 10 52.051 1.11635e-07 1.000 0.000 0.000
  131. 101 2 10 259.340 0 0.000 1.000 0.000
  132. 110 2 10 62.149 1.41767e-09 0.000 0.000 1.000
  133. best pat: 000 0.100667 - -
  134. best pat: 010 3.63955e-05 chi(nested): 22.869 p-value for nested model: 1.73421e-06
  135. best pat: 011 1.11635e-07 chi(nested): 15.842 p-value for nested model: 6.885e-05
  136.  
  137. coeffs: 0.322 0.126 0.551
  138.  
  139. ## dscore:: f_4(Base, Fit, Rbase, right2)
  140. ## genstat:: f_4(Base, Fit, right1, right2)
  141.  
  142. details: Pinarbasi Morocco_Iberomaurusian -0.000326 -1.075589
  143. details: Satsurblia_HG Morocco_Iberomaurusian -0.003469 -10.386619
  144. details: Jordan_PPNB Morocco_Iberomaurusian 0.000430 2.657430
  145. dscore: Morocco_Iberomaurusian f4: -0.000307 Z: -2.091472
  146.  
  147. details: Pinarbasi MA1 0.000514 1.318369
  148. details: Satsurblia_HG MA1 0.000207 0.518491
  149. details: Jordan_PPNB MA1 -0.000571 -2.759143
  150. dscore: MA1 f4: -0.000123 Z: -0.648053
  151.  
  152. details: Pinarbasi Brazil_LapaDoSanto_9600BP 0.000137 0.386821
  153. details: Satsurblia_HG Brazil_LapaDoSanto_9600BP -0.000532 -1.603791
  154. details: Jordan_PPNB Brazil_LapaDoSanto_9600BP -0.000711 -3.699870
  155. dscore: Brazil_LapaDoSanto_9600BP f4: -0.000415 Z: -2.399864
  156.  
  157. details: Pinarbasi Iran_GanjDareh_N -0.001096 -3.485511
  158. details: Satsurblia_HG Iran_GanjDareh_N 0.001594 4.660137
  159. details: Jordan_PPNB Iran_GanjDareh_N -0.000510 -3.060468
  160. dscore: Iran_GanjDareh_N f4: -0.000433 Z: -2.754499
  161.  
  162. details: Pinarbasi Kostenki14a 0.000957 2.251455
  163. details: Satsurblia_HG Kostenki14a -0.001921 -4.538124
  164. details: Jordan_PPNB Kostenki14a -0.000541 -2.996169
  165. dscore: Kostenki14a f4: -0.000233 Z: -1.250081
  166.  
  167. details: Pinarbasi Tianyuan 0.000017 0.043803
  168. details: Satsurblia_HG Tianyuan -0.000625 -1.648361
  169. details: Jordan_PPNB Tianyuan -0.000346 -1.729139
  170. dscore: Tianyuan f4: -0.000264 Z: -1.456559
  171.  
  172. details: Pinarbasi WSHG1 0.000075 0.184814
  173. details: Satsurblia_HG WSHG1 -0.000168 -0.439160
  174. details: Jordan_PPNB WSHG1 -0.000713 -3.257617
  175. dscore: WSHG1 f4: -0.000390 Z: -2.010244
  176.  
  177. details: Pinarbasi Tagliente_LPaleolithic 0.000343 1.388131
  178. details: Satsurblia_HG Tagliente_LPaleolithic -0.000971 -3.828861
  179. details: Jordan_PPNB Tagliente_LPaleolithic -0.000266 -1.199894
  180. dscore: Tagliente_LPaleolithic f4: -0.000159 Z: -1.025564
  181.  
  182. details: Pinarbasi Mongolia_North_N 0.000384 1.190625
  183. details: Satsurblia_HG Mongolia_North_N -0.000635 -1.789727
  184. details: Jordan_PPNB Mongolia_North_N -0.000517 -2.839081
  185. dscore: Mongolia_North_N f4: -0.000241 Z: -1.501385
  186.  
  187. details: Pinarbasi Russia_HG_Karelia 0.000664 1.697407
  188. details: Satsurblia_HG Russia_HG_Karelia -0.001227 -3.182739
  189. details: Jordan_PPNB Russia_HG_Karelia -0.000906 -4.742447
  190. dscore: Russia_HG_Karelia f4: -0.000441 Z: -2.466410
  191.  
  192. gendstat: Cameroon_SMA.DG Morocco_Iberomaurusian -2.091
  193. gendstat: Cameroon_SMA.DG MA1 -0.648
  194. gendstat: Cameroon_SMA.DG Brazil_LapaDoSanto_9600BP -2.400
  195. gendstat: Cameroon_SMA.DG Iran_GanjDareh_N -2.754
  196. gendstat: Cameroon_SMA.DG Kostenki14a -1.250
  197. gendstat: Cameroon_SMA.DG Tianyuan -1.457
  198. gendstat: Cameroon_SMA.DG WSHG1 -2.010
  199. gendstat: Cameroon_SMA.DG Tagliente_LPaleolithic -1.026
  200. gendstat: Cameroon_SMA.DG Mongolia_North_N -1.501
  201. gendstat: Cameroon_SMA.DG Russia_HG_Karelia -2.466
  202. gendstat: Morocco_Iberomaurusian MA1 0.925
  203. gendstat: Morocco_Iberomaurusian Brazil_LapaDoSanto_9600BP -0.618
  204. gendstat: Morocco_Iberomaurusian Iran_GanjDareh_N -0.791
  205. gendstat: Morocco_Iberomaurusian Kostenki14a 0.385
  206. gendstat: Morocco_Iberomaurusian Tianyuan 0.231
  207. gendstat: Morocco_Iberomaurusian WSHG1 -0.414
  208. gendstat: Morocco_Iberomaurusian Tagliente_LPaleolithic 0.773
  209. gendstat: Morocco_Iberomaurusian Mongolia_North_N 0.401
  210. gendstat: Morocco_Iberomaurusian Russia_HG_Karelia -0.734
  211. gendstat: MA1 Brazil_LapaDoSanto_9600BP -1.570
  212. gendstat: MA1 Iran_GanjDareh_N -1.790
  213. gendstat: MA1 Kostenki14a -0.530
  214. gendstat: MA1 Tianyuan -0.690
  215. gendstat: MA1 WSHG1 -1.365
  216. gendstat: MA1 Tagliente_LPaleolithic -0.165
  217. gendstat: MA1 Mongolia_North_N -0.648
  218. gendstat: MA1 Russia_HG_Karelia -1.680
  219. gendstat: Brazil_LapaDoSanto_9600BP Iran_GanjDareh_N -0.117
  220. gendstat: Brazil_LapaDoSanto_9600BP Kostenki14a 0.953
  221. gendstat: Brazil_LapaDoSanto_9600BP Tianyuan 0.845
  222. gendstat: Brazil_LapaDoSanto_9600BP WSHG1 0.135
  223. gendstat: Brazil_LapaDoSanto_9600BP Tagliente_LPaleolithic 1.259
  224. gendstat: Brazil_LapaDoSanto_9600BP Mongolia_North_N 1.311
  225. gendstat: Brazil_LapaDoSanto_9600BP Russia_HG_Karelia -0.152
  226. gendstat: Iran_GanjDareh_N Kostenki14a 1.092
  227. gendstat: Iran_GanjDareh_N Tianyuan 1.000
  228. gendstat: Iran_GanjDareh_N WSHG1 0.241
  229. gendstat: Iran_GanjDareh_N Tagliente_LPaleolithic 1.468
  230. gendstat: Iran_GanjDareh_N Mongolia_North_N 1.350
  231. gendstat: Iran_GanjDareh_N Russia_HG_Karelia -0.047
  232. gendstat: Kostenki14a Tianyuan -0.151
  233. gendstat: Kostenki14a WSHG1 -0.749
  234. gendstat: Kostenki14a Tagliente_LPaleolithic 0.345
  235. gendstat: Kostenki14a Mongolia_North_N -0.046
  236. gendstat: Kostenki14a Russia_HG_Karelia -1.057
  237. gendstat: Tianyuan WSHG1 -0.583
  238. gendstat: Tianyuan Tagliente_LPaleolithic 0.501
  239. gendstat: Tianyuan Mongolia_North_N 0.143
  240. gendstat: Tianyuan Russia_HG_Karelia -0.907
  241. gendstat: WSHG1 Tagliente_LPaleolithic 1.050
  242. gendstat: WSHG1 Mongolia_North_N 0.848
  243. gendstat: WSHG1 Russia_HG_Karelia -0.272
  244. gendstat: Tagliente_LPaleolithic Mongolia_North_N -0.433
  245. gendstat: Tagliente_LPaleolithic Russia_HG_Karelia -1.371
  246. gendstat: Mongolia_North_N Russia_HG_Karelia -1.197
  247.  
  248. ##end of qpAdm: 254.787 seconds cpu 1295.254 Mbytes in use
  249.  
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