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misnomer001

kumsay wshg sarazm chg pass

misnomer001
Feb 9th, 2020
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  1. allsnps: YES
  2. ## qpAdm version: 1000
  3. seed: 1984694790
  4. read 1073741824 bytes
  5. read 1324255962 bytes
  6. packed geno read OK
  7. end of inpack
  8.  
  9. left pops:
  10. Kumsay_EBA
  11. Sarazm_EN
  12. WSHG
  13. Georgia_Kotias.SG
  14.  
  15. right pops:
  16. Russia_MA1_HG
  17. EEHG
  18. WEHG
  19. Anatolia_N
  20. Russia_Shamanka_EN.SG
  21. Georgia_Satsurblia.SG
  22. Ganj_Dareh_N
  23. Onge.DG
  24. Russia_AfontovaGora3
  25. PPN
  26. Brazil_LapaDoSanto_9600BP
  27. China_Tianyuan
  28.  
  29. 0 Kumsay_EBA 4
  30. 1 Sarazm_EN 2
  31. 2 WSHG 3
  32. 3 Georgia_Kotias.SG 1
  33. 4 Russia_MA1_HG 1
  34. 5 EEHG 5
  35. 6 WEHG 36
  36. 7 Anatolia_N 23
  37. 8 Russia_Shamanka_EN.SG 10
  38. 9 Georgia_Satsurblia.SG 1
  39. 10 Ganj_Dareh_N 8
  40. 11 Onge.DG 2
  41. 12 Russia_AfontovaGora3 1
  42. 13 PPN 8
  43. 14 Brazil_LapaDoSanto_9600BP 5
  44. 15 China_Tianyuan 1
  45. jackknife block size: 0.050
  46. snps: 1150461 indivs: 111
  47. number of blocks for block jackknife: 713
  48. ## ncols: 1150461
  49. coverage: Kumsay_EBA 960872
  50. coverage: Sarazm_EN 867960
  51. coverage: WSHG 858019
  52. coverage: Georgia_Kotias.SG 1149097
  53. coverage: Russia_MA1_HG 805960
  54. coverage: EEHG 1052093
  55. coverage: WEHG 1141246
  56. coverage: Anatolia_N 1136560
  57. coverage: Russia_Shamanka_EN.SG 1149998
  58. coverage: Georgia_Satsurblia.SG 801311
  59. coverage: Ganj_Dareh_N 1057358
  60. coverage: Onge.DG 1120748
  61. coverage: Russia_AfontovaGora3 265583
  62. coverage: PPN 835499
  63. coverage: Brazil_LapaDoSanto_9600BP 946991
  64. coverage: China_Tianyuan 885079
  65. dof (jackknife): 618.186
  66. numsnps used: 1150461
  67. codimension 1
  68. f4info:
  69. f4rank: 2 dof: 9 chisq: 12.670 tail: 0.178118612 dofdiff: 11 chisqdiff: -12.670 taildiff: 1
  70. B:
  71. scale 1.000 1.000
  72. EEHG -0.048 -0.895
  73. WEHG 0.701 -0.687
  74. Anatolia_N 1.437 0.550
  75. Russia_Shamanka_EN.SG 0.644 -0.142
  76. Georgia_Satsurblia.SG 1.565 -2.077
  77. Ganj_Dareh_N 1.567 2.090
  78. Onge.DG 0.936 0.434
  79. Russia_AfontovaGora3 -0.212 -0.085
  80. PPN 1.270 0.625
  81. Brazil_LapaDoSanto_9600BP 0.203 0.301
  82. China_Tianyuan 0.738 0.211
  83. A:
  84. scale 221.090 1812.363
  85. Sarazm_EN 0.828 1.336
  86. WSHG -0.466 0.068
  87. Georgia_Kotias.SG 1.448 -1.100
  88.  
  89.  
  90. full rank
  91. f4info:
  92. f4rank: 3 dof: 0 chisq: 0.000 tail: 1 dofdiff: 9 chisqdiff: 12.670 taildiff: 0.178118612
  93. B:
  94. scale 236.079 490.473 149.441
  95. EEHG -0.123 0.045 0.058
  96. WEHG 0.570 -0.799 0.765
  97. Anatolia_N 1.437 -1.525 1.375
  98. Russia_Shamanka_EN.SG 0.682 -0.443 0.721
  99. Georgia_Satsurblia.SG 1.093 -1.587 1.762
  100. Ganj_Dareh_N 1.855 -1.507 1.398
  101. Onge.DG 1.010 -0.919 0.912
  102. Russia_AfontovaGora3 -0.158 0.288 -0.179
  103. PPN 1.319 -1.252 1.221
  104. Brazil_LapaDoSanto_9600BP 0.329 -0.135 0.214
  105. China_Tianyuan 0.775 -0.731 0.736
  106. A:
  107. scale 1.732 1.732 1.732
  108. Sarazm_EN 1.732 0.000 0.000
  109. WSHG 0.000 1.732 0.000
  110. Georgia_Kotias.SG 0.000 0.000 1.732
  111.  
  112.  
  113. best coefficients: 0.105 0.722 0.172
  114. Jackknife mean: 0.106005692 0.722191034 0.171803274
  115. std. errors: 0.043 0.016 0.034
  116.  
  117. error covariance (* 1,000,000)
  118. 1840 -467 -1373
  119. -467 253 213
  120. -1373 213 1160
  121.  
  122.  
  123. summ: Kumsay_EBA 3 0.178119 0.106 0.722 0.172 1840 -467 -1373 253 213 ...
  124. 1160
  125.  
  126. fixed pat wt dof chisq tail prob
  127. 000 0 9 12.670 0.178119 0.105 0.722 0.172
  128. 001 1 10 38.030 3.75034e-05 0.310 0.690 0.000
  129. 010 1 10 233.063 0 3.461 0.000 -2.461 infeasible
  130. 100 1 10 21.058 0.0206929 0.000 0.750 0.250
  131. 011 2 11 1099.606 0 1.000 0.000 0.000
  132. 101 2 11 361.548 0 0.000 1.000 0.000
  133. 110 2 11 1571.168 0 0.000 0.000 1.000
  134. best pat: 000 0.178119 - -
  135. best pat: 100 0.0206929 chi(nested): 8.388 p-value for nested model: 0.00377698
  136. best pat: 101 8.7099e-71 chi(nested): 340.490 p-value for nested model: 4.99088e-76
  137.  
  138. coeffs: 0.105 0.722 0.172
  139.  
  140. ## dscore:: f_4(Base, Fit, Rbase, right2)
  141. ## genstat:: f_4(Base, Fit, right1, right2)
  142.  
  143. details: Sarazm_EN EEHG -0.000520 -1.578237
  144. details: WSHG EEHG 0.000093 0.294330
  145. details: Georgia_Kotias.SG EEHG 0.000391 0.904080
  146. dscore: EEHG f4: 0.000080 Z: 0.305975
  147.  
  148. details: Sarazm_EN WEHG 0.002414 6.962876
  149. details: WSHG WEHG -0.001629 -5.043342
  150. details: Georgia_Kotias.SG WEHG 0.005116 12.123982
  151. dscore: WEHG f4: -0.000040 Z: -0.148309
  152.  
  153. details: Sarazm_EN Anatolia_N 0.006086 16.349854
  154. details: WSHG Anatolia_N -0.003109 -9.523575
  155. details: Georgia_Kotias.SG Anatolia_N 0.009204 21.610896
  156. dscore: Anatolia_N f4: -0.000017 Z: -0.063042
  157.  
  158. details: Sarazm_EN Russia_Shamanka_EN.SG 0.002888 7.720368
  159. details: WSHG Russia_Shamanka_EN.SG -0.000904 -2.747027
  160. details: Georgia_Kotias.SG Russia_Shamanka_EN.SG 0.004823 10.903649
  161. dscore: Russia_Shamanka_EN.SG f4: 0.000483 Z: 1.725567
  162.  
  163. details: Sarazm_EN Georgia_Satsurblia.SG 0.004629 12.637961
  164. details: WSHG Georgia_Satsurblia.SG -0.003237 -10.355549
  165. details: Georgia_Kotias.SG Georgia_Satsurblia.SG 0.011792 25.719081
  166. dscore: Georgia_Satsurblia.SG f4: 0.000183 Z: 0.685666
  167.  
  168. details: Sarazm_EN Ganj_Dareh_N 0.007859 20.038650
  169. details: WSHG Ganj_Dareh_N -0.003072 -9.673598
  170. details: Georgia_Kotias.SG Ganj_Dareh_N 0.009352 21.251555
  171. dscore: Ganj_Dareh_N f4: 0.000222 Z: 0.818572
  172.  
  173. details: Sarazm_EN Onge.DG 0.004278 10.997530
  174. details: WSHG Onge.DG -0.001875 -5.475328
  175. details: Georgia_Kotias.SG Onge.DG 0.006100 13.254594
  176. dscore: Onge.DG f4: 0.000148 Z: 0.511577
  177.  
  178. details: Sarazm_EN Russia_AfontovaGora3 -0.000669 -3.151399
  179. details: WSHG Russia_AfontovaGora3 0.000588 2.893067
  180. details: Georgia_Kotias.SG Russia_AfontovaGora3 -0.001197 -5.304071
  181. dscore: Russia_AfontovaGora3 f4: 0.000148 Z: 0.880143
  182.  
  183. details: Sarazm_EN PPN 0.005588 15.182231
  184. details: WSHG PPN -0.002553 -7.434153
  185. details: Georgia_Kotias.SG PPN 0.008173 19.919741
  186. dscore: PPN f4: 0.000154 Z: 0.537226
  187.  
  188. details: Sarazm_EN Brazil_LapaDoSanto_9600BP 0.001395 3.733878
  189. details: WSHG Brazil_LapaDoSanto_9600BP -0.000275 -0.825499
  190. details: Georgia_Kotias.SG Brazil_LapaDoSanto_9600BP 0.001429 3.347329
  191. dscore: Brazil_LapaDoSanto_9600BP f4: 0.000195 Z: 0.691294
  192.  
  193. details: Sarazm_EN China_Tianyuan 0.003281 8.072067
  194. details: WSHG China_Tianyuan -0.001489 -4.068472
  195. details: Georgia_Kotias.SG China_Tianyuan 0.004925 10.400173
  196. dscore: China_Tianyuan f4: 0.000119 Z: 0.391401
  197.  
  198. gendstat: Russia_MA1_HG EEHG 0.306
  199. gendstat: Russia_MA1_HG WEHG -0.148
  200. gendstat: Russia_MA1_HG Anatolia_N -0.063
  201. gendstat: Russia_MA1_HG Russia_Shamanka_EN.SG 1.726
  202. gendstat: Russia_MA1_HG Georgia_Satsurblia.SG 0.686
  203. gendstat: Russia_MA1_HG Ganj_Dareh_N 0.819
  204. gendstat: Russia_MA1_HG Onge.DG 0.512
  205. gendstat: Russia_MA1_HG Russia_AfontovaGora3 0.880
  206. gendstat: Russia_MA1_HG PPN 0.537
  207. gendstat: Russia_MA1_HG Brazil_LapaDoSanto_9600BP 0.691
  208. gendstat: Russia_MA1_HG China_Tianyuan 0.391
  209. gendstat: EEHG WEHG -0.649
  210. gendstat: EEHG Anatolia_N -0.477
  211. gendstat: EEHG Russia_Shamanka_EN.SG 1.758
  212. gendstat: EEHG Georgia_Satsurblia.SG 0.403
  213. gendstat: EEHG Ganj_Dareh_N 0.656
  214. gendstat: EEHG Onge.DG 0.276
  215. gendstat: EEHG Russia_AfontovaGora3 0.272
  216. gendstat: EEHG PPN 0.306
  217. gendstat: EEHG Brazil_LapaDoSanto_9600BP 0.476
  218. gendstat: EEHG China_Tianyuan 0.144
  219. gendstat: WEHG Anatolia_N 0.166
  220. gendstat: WEHG Russia_Shamanka_EN.SG 2.612
  221. gendstat: WEHG Georgia_Satsurblia.SG 0.939
  222. gendstat: WEHG Ganj_Dareh_N 1.396
  223. gendstat: WEHG Onge.DG 0.878
  224. gendstat: WEHG Russia_AfontovaGora3 0.708
  225. gendstat: WEHG PPN 0.981
  226. gendstat: WEHG Brazil_LapaDoSanto_9600BP 1.023
  227. gendstat: WEHG China_Tianyuan 0.655
  228. gendstat: Anatolia_N Russia_Shamanka_EN.SG 2.628
  229. gendstat: Anatolia_N Georgia_Satsurblia.SG 0.891
  230. gendstat: Anatolia_N Ganj_Dareh_N 1.393
  231. gendstat: Anatolia_N Onge.DG 0.788
  232. gendstat: Anatolia_N Russia_AfontovaGora3 0.607
  233. gendstat: Anatolia_N PPN 1.042
  234. gendstat: Anatolia_N Brazil_LapaDoSanto_9600BP 0.944
  235. gendstat: Anatolia_N China_Tianyuan 0.556
  236. gendstat: Russia_Shamanka_EN.SG Georgia_Satsurblia.SG -1.149
  237. gendstat: Russia_Shamanka_EN.SG Ganj_Dareh_N -1.224
  238. gendstat: Russia_Shamanka_EN.SG Onge.DG -1.749
  239. gendstat: Russia_Shamanka_EN.SG Russia_AfontovaGora3 -1.209
  240. gendstat: Russia_Shamanka_EN.SG PPN -1.427
  241. gendstat: Russia_Shamanka_EN.SG Brazil_LapaDoSanto_9600BP -1.542
  242. gendstat: Russia_Shamanka_EN.SG China_Tianyuan -1.568
  243. gendstat: Georgia_Satsurblia.SG Ganj_Dareh_N 0.163
  244. gendstat: Georgia_Satsurblia.SG Onge.DG -0.134
  245. gendstat: Georgia_Satsurblia.SG Russia_AfontovaGora3 -0.125
  246. gendstat: Georgia_Satsurblia.SG PPN -0.114
  247. gendstat: Georgia_Satsurblia.SG Brazil_LapaDoSanto_9600BP 0.044
  248. gendstat: Georgia_Satsurblia.SG China_Tianyuan -0.215
  249. gendstat: Ganj_Dareh_N Onge.DG -0.336
  250. gendstat: Ganj_Dareh_N Russia_AfontovaGora3 -0.284
  251. gendstat: Ganj_Dareh_N PPN -0.315
  252. gendstat: Ganj_Dareh_N Brazil_LapaDoSanto_9600BP -0.114
  253. gendstat: Ganj_Dareh_N China_Tianyuan -0.399
  254. gendstat: Onge.DG Russia_AfontovaGora3 -0.002
  255. gendstat: Onge.DG PPN 0.023
  256. gendstat: Onge.DG Brazil_LapaDoSanto_9600BP 0.208
  257. gendstat: Onge.DG China_Tianyuan -0.115
  258. gendstat: Russia_AfontovaGora3 PPN 0.022
  259. gendstat: Russia_AfontovaGora3 Brazil_LapaDoSanto_9600BP 0.174
  260. gendstat: Russia_AfontovaGora3 China_Tianyuan -0.096
  261. gendstat: PPN Brazil_LapaDoSanto_9600BP 0.157
  262. gendstat: PPN China_Tianyuan -0.129
  263. gendstat: Brazil_LapaDoSanto_9600BP China_Tianyuan -0.299
  264.  
  265. ##end of qpAdm: 345.902 seconds cpu 1349.128 Mbytes in use
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