Legend_9813

Vedda qpAdm

Apr 17th, 2024
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  1. ### THE INPUT PARAMETERS
  2. ##PARAMETER NAME: VALUE
  3. indivname: v54.1.p1_1240K_merged.ind
  4. snpname: v54.1.p1_1240K_merged.snp
  5. genotypename: v54.1.p1_1240K_merged.geno
  6. popleft: left.txt
  7. popright: right.txt
  8. inbreed: NO
  9. allsnps: YES
  10. details: YES
  11. ## qpAdm version: 1201
  12. seed: -2090694131
  13. read 1073741824 bytes
  14. read 2147483648 bytes
  15. read 3221225472 bytes
  16. read 4294967296 bytes
  17. read 5368709120 bytes
  18. read 6218084559 bytes
  19. packed geno read OK
  20. end of inpack
  21.  
  22. left pops:
  23. Vedda_LK
  24. Onge.SG
  25. Indus_Periphery_medAASI
  26. Russia_Srubnaya_Alakul.SG
  27.  
  28. right pops:
  29. Mbuti.DG
  30. EHG
  31. CHG
  32. WSHG
  33. Turkey_N
  34. Levant_PPN
  35. Iran_GanjDareh_N
  36. Mongolia_North_N
  37. China_Paleolithic
  38. Serbia_IronGates_Mesolithic
  39.  
  40. 0 Vedda_LK 4
  41. 1 Onge.SG 6
  42. 2 Indus_Periphery_medAASI 3
  43. 3 Russia_Srubnaya_Alakul.SG 7
  44. 4 Mbuti.DG 14
  45. 5 EHG 16
  46. 6 CHG 2
  47. 7 WSHG 2
  48. 8 Turkey_N 33
  49. 9 Levant_PPN 14
  50. 10 Iran_GanjDareh_N 8
  51. 11 Mongolia_North_N 5
  52. 12 China_Paleolithic 2
  53. 13 Serbia_IronGates_Mesolithic 32
  54. jackknife block size: 0.050
  55. snps: 1150564 indivs: 148
  56. number of blocks for block jackknife: 714
  57. ## ncols: 1150564
  58. coverage: Vedda_LK 142456
  59. coverage: Onge.SG 1143397
  60. coverage: Indus_Periphery_medAASI 802231
  61. coverage: Russia_Srubnaya_Alakul.SG 1148418
  62. coverage: Mbuti.DG 1149711
  63. coverage: EHG 1113964
  64. coverage: CHG 1147700
  65. coverage: WSHG 856571
  66. coverage: Turkey_N 1139051
  67. coverage: Levant_PPN 630400
  68. coverage: Iran_GanjDareh_N 1057033
  69. coverage: Mongolia_North_N 1057835
  70. coverage: China_Paleolithic 1008603
  71. coverage: Serbia_IronGates_Mesolithic 1138678
  72. Effective number of blocks: 604.603
  73. numsnps used: 1150564
  74. codimension 1
  75. f4info:
  76. f4rank: 2 dof: 7 chisq: 4.902 tail: 0.671894863 dofdiff: 9 chisqdiff: -4.902 taildiff: 1
  77. B:
  78. scale 1.000 1.000
  79. EHG 1.313 0.594
  80. CHG 0.814 -0.880
  81. WSHG 0.761 0.163
  82. Turkey_N 1.344 0.180
  83. Levant_PPN 0.867 -0.509
  84. Iran_GanjDareh_N 0.591 -2.126
  85. Mongolia_North_N -0.543 0.556
  86. China_Paleolithic -0.539 0.860
  87. Serbia_IronGates_Mesolithic 1.595 1.409
  88. A:
  89. scale 512.979 2165.512
  90. Onge.SG -0.701 1.246
  91. Indus_Periphery_medAASI 0.336 -0.955
  92. Russia_Srubnaya_Alakul.SG 1.548 0.732
  93.  
  94.  
  95. full rank
  96. f4info:
  97. f4rank: 3 dof: 0 chisq: 0.000 tail: 1 dofdiff: 7 chisqdiff: 4.902 taildiff: 0.671894863
  98. B:
  99. scale 695.147 1193.953 321.103
  100. EHG -0.953 0.862 1.374
  101. CHG -1.090 1.195 0.720
  102. WSHG -0.670 0.471 0.768
  103. Turkey_N -1.099 1.180 1.372
  104. Levant_PPN -1.045 0.877 0.792
  105. Iran_GanjDareh_N -1.318 1.786 0.387
  106. Mongolia_North_N 0.867 -0.477 -0.417
  107. China_Paleolithic 0.936 -0.767 -0.392
  108. Serbia_IronGates_Mesolithic -0.890 0.666 1.738
  109. A:
  110. scale 1.732 1.732 1.732
  111. Onge.SG 1.732 0.000 0.000
  112. Indus_Periphery_medAASI 0.000 1.732 0.000
  113. Russia_Srubnaya_Alakul.SG 0.000 0.000 1.732
  114.  
  115.  
  116. best coefficients: 0.390 0.553 0.057
  117. Jackknife mean: 0.390627542 0.552134074 0.057238384
  118. std. errors: 0.025 0.039 0.022
  119.  
  120. error covariance (* 1,000,000)
  121. 609 -834 226
  122. -834 1542 -708
  123. 226 -708 482
  124.  
  125.  
  126. summ: Vedda_LK 3 0.671895 0.391 0.552 0.057 609 -834 226 1542 -708 ...
  127. 482
  128.  
  129. fixed pat wt dof chisq tail prob
  130. 000 0 7 4.902 0.671895 0.390 0.553 0.057
  131. 001 1 8 11.188 0.191294 0.363 0.637 0.000
  132. 010 1 8 159.525 2.0102e-30 0.700 0.000 0.300
  133. 100 1 8 140.994 1.47385e-26 0.000 1.154 -0.154 infeasible
  134. 011 2 9 445.314 0 1.000 0.000 0.000
  135. 101 2 9 173.507 0 0.000 1.000 0.000
  136. 110 2 9 1708.823 0 0.000 0.000 1.000
  137. best pat: 000 0.671895 - -
  138. best pat: 001 0.191294 chi(nested): 6.285 p-value for nested model: 0.0121737
  139. best pat: 101 1.14672e-32 chi(nested): 162.319 p-value for nested model: 3.52293e-37
  140.  
  141. coeffs: 0.390 0.553 0.057
  142.  
  143. ## dscore:: f_4(Base, Fit, Rbase, right2)
  144. ## genstat:: f_4(Base, Fit, right1, right2)
  145.  
  146. details: Onge.SG EHG -0.001370 -7.530542
  147. details: Indus_Periphery_medAASI EHG 0.000722 3.855952
  148. details: Russia_Srubnaya_Alakul.SG EHG 0.004278 24.165167
  149. dscore: EHG f4: 0.000107 Z: 0.744828
  150.  
  151. details: Onge.SG CHG -0.001568 -8.249134
  152. details: Indus_Periphery_medAASI CHG 0.001000 5.392658
  153. details: Russia_Srubnaya_Alakul.SG CHG 0.002243 12.225265
  154. dscore: CHG f4: 0.000069 Z: 0.475289
  155.  
  156. details: Onge.SG WSHG -0.000964 -4.767094
  157. details: Indus_Periphery_medAASI WSHG 0.000395 1.808559
  158. details: Russia_Srubnaya_Alakul.SG WSHG 0.002391 12.353406
  159. dscore: WSHG f4: -0.000022 Z: -0.134316
  160.  
  161. details: Onge.SG Turkey_N -0.001581 -8.619305
  162. details: Indus_Periphery_medAASI Turkey_N 0.000989 5.452507
  163. details: Russia_Srubnaya_Alakul.SG Turkey_N 0.004271 23.893834
  164. dscore: Turkey_N f4: 0.000172 Z: 1.217377
  165.  
  166. details: Onge.SG Levant_PPN -0.001503 -7.168976
  167. details: Indus_Periphery_medAASI Levant_PPN 0.000734 3.128324
  168. details: Russia_Srubnaya_Alakul.SG Levant_PPN 0.002465 12.158781
  169. dscore: Levant_PPN f4: -0.000041 Z: -0.228812
  170.  
  171. details: Onge.SG Iran_GanjDareh_N -0.001897 -10.798480
  172. details: Indus_Periphery_medAASI Iran_GanjDareh_N 0.001496 8.742610
  173. details: Russia_Srubnaya_Alakul.SG Iran_GanjDareh_N 0.001205 7.046164
  174. dscore: Iran_GanjDareh_N f4: 0.000155 Z: 1.156432
  175.  
  176. details: Onge.SG Mongolia_North_N 0.001247 6.757832
  177. details: Indus_Periphery_medAASI Mongolia_North_N -0.000399 -2.183188
  178. details: Russia_Srubnaya_Alakul.SG Mongolia_North_N -0.001297 -7.273680
  179. dscore: Mongolia_North_N f4: 0.000192 Z: 1.376042
  180.  
  181. details: Onge.SG China_Paleolithic 0.001346 6.444923
  182. details: Indus_Periphery_medAASI China_Paleolithic -0.000642 -3.422819
  183. details: Russia_Srubnaya_Alakul.SG China_Paleolithic -0.001222 -6.830367
  184. dscore: China_Paleolithic f4: 0.000101 Z: 0.666166
  185.  
  186. details: Onge.SG Serbia_IronGates_Mesolithic -0.001280 -6.388193
  187. details: Indus_Periphery_medAASI Serbia_IronGates_Mesolithic 0.000558 2.883644
  188. details: Russia_Srubnaya_Alakul.SG Serbia_IronGates_Mesolithic 0.005412 28.189766
  189. dscore: Serbia_IronGates_Mesolithic f4: 0.000116 Z: 0.765183
  190.  
  191. gendstat: Mbuti.DG EHG 0.745
  192. gendstat: Mbuti.DG CHG 0.475
  193. gendstat: Mbuti.DG WSHG -0.134
  194. gendstat: Mbuti.DG Turkey_N 1.217
  195. gendstat: Mbuti.DG Levant_PPN -0.229
  196. gendstat: Mbuti.DG Iran_GanjDareh_N 1.156
  197. gendstat: Mbuti.DG Mongolia_North_N 1.376
  198. gendstat: Mbuti.DG China_Paleolithic 0.666
  199. gendstat: Mbuti.DG Serbia_IronGates_Mesolithic 0.765
  200. gendstat: EHG CHG -0.266
  201. gendstat: EHG WSHG -0.902
  202. gendstat: EHG Turkey_N 0.552
  203. gendstat: EHG Levant_PPN -0.826
  204. gendstat: EHG Iran_GanjDareh_N 0.334
  205. gendstat: EHG Mongolia_North_N 0.590
  206. gendstat: EHG China_Paleolithic -0.040
  207. gendstat: EHG Serbia_IronGates_Mesolithic 0.084
  208. gendstat: CHG WSHG -0.529
  209. gendstat: CHG Turkey_N 0.771
  210. gendstat: CHG Levant_PPN -0.585
  211. gendstat: CHG Iran_GanjDareh_N 0.619
  212. gendstat: CHG Mongolia_North_N 0.756
  213. gendstat: CHG China_Paleolithic 0.186
  214. gendstat: CHG Serbia_IronGates_Mesolithic 0.325
  215. gendstat: WSHG Turkey_N 1.237
  216. gendstat: WSHG Levant_PPN -0.091
  217. gendstat: WSHG Iran_GanjDareh_N 1.068
  218. gendstat: WSHG Mongolia_North_N 1.297
  219. gendstat: WSHG China_Paleolithic 0.700
  220. gendstat: WSHG Serbia_IronGates_Mesolithic 0.878
  221. gendstat: Turkey_N Levant_PPN -1.368
  222. gendstat: Turkey_N Iran_GanjDareh_N -0.147
  223. gendstat: Turkey_N Mongolia_North_N 0.144
  224. gendstat: Turkey_N China_Paleolithic -0.486
  225. gendstat: Turkey_N Serbia_IronGates_Mesolithic -0.517
  226. gendstat: Levant_PPN Iran_GanjDareh_N 1.080
  227. gendstat: Levant_PPN Mongolia_North_N 1.239
  228. gendstat: Levant_PPN China_Paleolithic 0.723
  229. gendstat: Levant_PPN Serbia_IronGates_Mesolithic 0.925
  230. gendstat: Iran_GanjDareh_N Mongolia_North_N 0.254
  231. gendstat: Iran_GanjDareh_N China_Paleolithic -0.334
  232. gendstat: Iran_GanjDareh_N Serbia_IronGates_Mesolithic -0.268
  233. gendstat: Mongolia_North_N China_Paleolithic -0.599
  234. gendstat: Mongolia_North_N Serbia_IronGates_Mesolithic -0.514
  235. gendstat: China_Paleolithic Serbia_IronGates_Mesolithic 0.098
  236.  
  237. ##end of qpAdm: 95.937 seconds cpu 1246.953 Mbytes in use
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