[1] "###############################"
[1] "####DENISOVA###########"
[1] "###############################"
[1] "###############################"
[1] "####AFRICAN####DENISOVA###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  PopulationMat[, pop] and DenisovaMat[, 12] 
t = -95.8415, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.2784773 -0.2677316 
sample estimates:
      cor 
-0.273113 

[1] "==========0============="

	Spearman's rank correlation rho

data:  PopulationMat[, pop] and DenisovaMat[, 12] 
S = 2.923488e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
       rho 
-0.1851163 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.09388155 0.10506543 
sample estimates:
odds ratio 
0.09931312 

[1] "==========0============="
[1] "###############################"
[1] "###############################"
[1] "####AD MIX AMERICAN####DENISOVA###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  PopulationMat[, pop] and DenisovaMat[, 12] 
t = 4.0533, df = 113961, p-value = 5.053e-05
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.006200655 0.017810712 
sample estimates:
       cor 
0.01200609 

[1] "==========5.05292004058244e-05============="

	Spearman's rank correlation rho

data:  PopulationMat[, pop] and DenisovaMat[, 12] 
S = 2.246334e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
       rho 
0.08938695 

[1] "==========8.01562270362143e-201============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.0003875
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 1.077085 1.292608 
sample estimates:
odds ratio 
  1.180843 

[1] "==========0.000387499265248055============="
[1] "###############################"
[1] "###############################"
[1] "####ASIAN####DENISOVA###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  PopulationMat[, pop] and DenisovaMat[, 12] 
t = 116.0249, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.319831 0.330216 
sample estimates:
      cor 
0.3250333 

[1] "==========0============="

	Spearman's rank correlation rho

data:  PopulationMat[, pop] and DenisovaMat[, 12] 
S = 1.953336e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.2081615 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 13.66887 15.45629 
sample estimates:
odds ratio 
  14.53473 

[1] "==========0============="
[1] "###############################"
[1] "###############################"
[1] "####EUROPEAN####DENISOVA###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  PopulationMat[, pop] and DenisovaMat[, 12] 
t = 25.348, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.06910063 0.08064727 
sample estimates:
       cor 
0.07487646 

[1] "==========0============="

	Spearman's rank correlation rho

data:  PopulationMat[, pop] and DenisovaMat[, 12] 
S = 2.240868e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
       rho 
0.09160264 

[1] "==========7.72116668541538e-211============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 2.328313 2.779456 
sample estimates:
odds ratio 
  2.545467 

[1] "==========2.71004034578505e-80============="
[1] "###############################"
[1] "###############################"
[1] "####NEANDERTAL###########"
[1] "###############################"
[1] "###############################"
[1] "####AFRICAN####NEANDERTAL###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  PopulationMat[, pop] and NeanderMat[, 12] 
t = -174.8457, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.4644757 -0.4553200 
sample estimates:
       cor 
-0.4599101 

[1] "==========0============="

	Spearman's rank correlation rho

data:  PopulationMat[, pop] and NeanderMat[, 12] 
S = 3.094942e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
     rho 
-0.25462 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.03573338 0.03988137 
sample estimates:
odds ratio 
  0.037771 

[1] "==========0============="
[1] "###############################"
[1] "###############################"
[1] "####AD MIX AMERICAN####NEANDERTAL###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  PopulationMat[, pop] and NeanderMat[, 12] 
t = 31.2979, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.08655693 0.09806970 
sample estimates:
      cor 
0.0923164 

[1] "==========0============="

	Spearman's rank correlation rho

data:  PopulationMat[, pop] and NeanderMat[, 12] 
S = 2.167645e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.1212854 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 2.538624 2.903084 
sample estimates:
odds ratio 
  2.715401 

[1] "==========9.45592195708443e-160============="
[1] "###############################"
[1] "###############################"
[1] "####ASIAN####NEANDERTAL###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  PopulationMat[, pop] and NeanderMat[, 12] 
t = 136.6448, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.3702048 0.3801819 
sample estimates:
      cor 
0.3752042 

[1] "==========0============="

	Spearman's rank correlation rho

data:  PopulationMat[, pop] and NeanderMat[, 12] 
S = 1.757145e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.2876928 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 18.78830 21.20144 
sample estimates:
odds ratio 
   19.9622 

[1] "==========0============="
[1] "###############################"
[1] "###############################"
[1] "####EUROPEAN####NEANDERTAL###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  PopulationMat[, pop] and NeanderMat[, 12] 
t = 109.6593, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.3036860 0.3141895 
sample estimates:
      cor 
0.3089472 

[1] "==========0============="

	Spearman's rank correlation rho

data:  PopulationMat[, pop] and NeanderMat[, 12] 
S = 2.00622e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.1867234 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 11.88013 13.50336 
sample estimates:
odds ratio 
  12.66953 

[1] "==========0============="
[1] "###############################"
[1] "###############################"
[1] "####ANCESTOR###########"
[1] "###############################"
[1] "###############################"
[1] "####AFRICAN####ANCESTOR###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  PopulationMat[, pop] and AncestMat[, 12] 
t = -5.3432, df = 113961, p-value = 9.149e-08
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.02162979 -0.01002097 
sample estimates:
        cor 
-0.01582592 

[1] "==========9.14948715434911e-08============="

	Spearman's rank correlation rho

data:  PopulationMat[, pop] and AncestMat[, 12] 
S = 2.707123e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
        rho 
-0.09740656 

[1] "==========2.94878273824614e-238============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.001168
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.7464619 0.9306795 
sample estimates:
odds ratio 
 0.8325297 

[1] "==========0.00116837589121304============="
[1] "###############################"
[1] "###############################"
[1] "####AD MIX AMERICAN####ANCESTOR###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  PopulationMat[, pop] and AncestMat[, 12] 
t = 3.887, df = 113961, p-value = 0.0001015
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.005708142 0.017318334 
sample estimates:
       cor 
0.01151363 

[1] "==========0.000101531367513896============="

	Spearman's rank correlation rho

data:  PopulationMat[, pop] and AncestMat[, 12] 
S = 2.141703e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.1318019 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.3479
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.8307168 1.0634710 
sample estimates:
odds ratio 
 0.9413852 

[1] "==========0.347864371542357============="
[1] "###############################"
[1] "###############################"
[1] "####ASIAN####ANCESTOR###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  PopulationMat[, pop] and AncestMat[, 12] 
t = -3.0551, df = 113961, p-value = 0.00225
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.014854753 -0.003243973 
sample estimates:
         cor 
-0.009049668 

[1] "==========0.00225020989936031============="

	Spearman's rank correlation rho

data:  PopulationMat[, pop] and AncestMat[, 12] 
S = 2.471937e+14, p-value = 0.4851
alternative hypothesis: true rho is not equal to 0 
sample estimates:
         rho 
-0.002067817 

[1] "==========0.485142674578535============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 9.103e-08
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 1.248333 1.599230 
sample estimates:
odds ratio 
  1.415079 

[1] "==========9.10316759404917e-08============="
[1] "###############################"
[1] "###############################"
[1] "####EUROPEAN####ANCESTOR###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  PopulationMat[, pop] and AncestMat[, 12] 
t = 11.7301, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.02892653 0.04052426 
sample estimates:
       cor 
0.03472657 

[1] "==========0============="

	Spearman's rank correlation rho

data:  PopulationMat[, pop] and AncestMat[, 12] 
S = 2.244067e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
       rho 
0.09030595 

[1] "==========6.02139971424212e-205============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 1.59e-06
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 1.222163 1.598089 
sample estimates:
odds ratio 
  1.400085 

[1] "==========1.59045862078264e-06============="
[1] "###############################"
[1] "###############################"
[1] "####DENISOVA 2###########"
[1] "###############################"
[1] "###############################"
[1] "####AFRICAN####DENISOVA 2###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.08358347 0.09977473 
sample estimates:
odds ratio 
0.09130637 

[1] "==========0============="
[1] "###############################"
[1] "###############################"
[1] "####AD MIX AMERICAN####DENISOVA 2###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.0487
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.9971836 1.3657991 
sample estimates:
odds ratio 
  1.169988 

[1] "==========0.0486992898390597============="
[1] "###############################"
[1] "###############################"
[1] "####ASIAN####DENISOVA 2###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 12.80339 15.37113 
sample estimates:
odds ratio 
  14.02957 

[1] "==========0============="
[1] "###############################"
[1] "###############################"
[1] "####EUROPEAN####DENISOVA 2###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 2.396326 3.179906 
sample estimates:
odds ratio 
  2.765596 

[1] "==========3.85071303384795e-37============="
[1] "###############################"
[1] "###############################"
[1] "####DENISOVA 3###########"
[1] "###############################"
[1] "###############################"
[1] "####AFRICAN####DENISOVA 3###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.08971687 0.10696655 
sample estimates:
odds ratio 
0.09794895 

[1] "==========0============="
[1] "###############################"
[1] "###############################"
[1] "####AD MIX AMERICAN####DENISOVA 3###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.05193
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.9860333 1.6045634 
sample estimates:
odds ratio 
  1.266502 

[1] "==========0.0519254971677243============="
[1] "###############################"
[1] "###############################"
[1] "####ASIAN####DENISOVA 3###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 13.22229 15.92202 
sample estimates:
odds ratio 
  14.51364 

[1] "==========0============="
[1] "###############################"
[1] "###############################"
[1] "####EUROPEAN####DENISOVA 3###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 2.349048 3.241670 
sample estimates:
odds ratio 
  2.766345 

[1] "==========7.12213310530182e-29============="
[1] "###############################"
[1] "###############################"
[1] "###############################"
[1] "###############################"
[1] "###############################"
[1] "###############################"
[1] "###############################"
[1] "###############################"
[1] "###############################"
[1] "###############################"
[1] "###############################"
[1] "###############################"
[1] "###############################"
[1] "###############################"
[1] "####DENISOVA###########"
[1] "###############################"
[1] "###############################"
[1] "####HapMapAfricans####DENISOVA###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
t = -16.2093, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.05375152 -0.04216649 
sample estimates:
        cor 
-0.04796062 

[1] "==========5.05217642771313e-59============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
S = 2.409835e+14, p-value = 6.118e-15
alternative hypothesis: true rho is not equal to 0 
sample estimates:
       rho 
0.02310694 

[1] "==========6.11805744710725e-15============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.5493530 0.6200511 
sample estimates:
odds ratio 
 0.5837732 

[1] "==========3.86049734458576e-75============="
[1] "###############################"
[1] "###############################"
[1] "####CEPHEuropean####DENISOVA###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
t = 19.8791, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.05299719 0.06456880 
sample estimates:
       cor 
0.05878497 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
S = 2.28522e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
       rho 
0.07362334 

[1] "==========1.01424654626242e-136============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 2.164886 3.122933 
sample estimates:
odds ratio 
  2.607774 

[1] "==========4.95782675312674e-21============="
[1] "###############################"
[1] "###############################"
[1] "####mixKoreanCEU####DENISOVA###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
t = NA, df = 113961, p-value = NA
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 NA NA 
sample estimates:
cor 
 NA 

[1] "==========NA============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
S = NA, p-value = NA
alternative hypothesis: true rho is not equal to 0 
sample estimates:
rho 
 NA 

[1] "==========NA============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 1
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
   0 Inf 
sample estimates:
odds ratio 
         0 

[1] "==========1============="
[1] "###############################"
[1] "###############################"
[1] "####HanChineseBeijing####DENISOVA###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
t = 60.1717, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.1698450 0.1810992 
sample estimates:
      cor 
0.1754778 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
S = 2.151319e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.1279038 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 6.893779 8.420514 
sample estimates:
odds ratio 
  7.620525 

[1] "==========1.15528199800061e-262============="
[1] "###############################"
[1] "###############################"
[1] "####HanChineseSouth####DENISOVA###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
t = 53.062, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.1496056 0.1609373 
sample estimates:
      cor 
0.1552766 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
S = 2.178093e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
    rho 
0.11705 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 6.163985 7.646187 
sample estimates:
odds ratio 
  6.867992 

[1] "==========8.32572553212944e-205============="
[1] "###############################"
[1] "###############################"
[1] "####Colombian####DENISOVA###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
t = 1.932, df = 113961, p-value = 0.05336
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -8.286406e-05  1.152849e-02 
sample estimates:
        cor 
0.005723004 

[1] "==========0.0533607731936663============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
S = 2.276419e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
       rho 
0.07719098 

[1] "==========3.93273874836333e-150============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.5851
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.8625454 1.2741472 
sample estimates:
odds ratio 
  1.052709 

[1] "==========0.585093097640294============="
[1] "###############################"
[1] "###############################"
[1] "####HapMapFinnish####DENISOVA###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
t = 23.1751, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.06270837 0.07426564 
sample estimates:
      cor 
0.0684893 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
S = 2.27577e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
       rho 
0.07745408 

[1] "==========3.80445623568127e-151============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 2.669839 3.671164 
sample estimates:
odds ratio 
  3.137197 

[1] "==========7.25585097724061e-37============="
[1] "###############################"
[1] "###############################"
[1] "####British####DENISOVA###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
t = 21.9575, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.05912295 0.07068577 
sample estimates:
       cor 
0.06490654 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
S = 2.295269e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
       rho 
0.06954944 

[1] "==========3.45957301114503e-122============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 2.367160 3.331378 
sample estimates:
odds ratio 
   2.81518 

[1] "==========3.04655063692521e-27============="
[1] "###############################"
[1] "###############################"
[1] "####Iberian####DENISOVA###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
t = 10.1729, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.02431954 0.03592074 
sample estimates:
       cor 
0.03012115 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
S = 2.359488e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
       rho 
0.04351661 

[1] "==========6.70679959193689e-49============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.0008092
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 1.478919 4.605889 
sample estimates:
odds ratio 
  2.693306 

[1] "==========0.000809249209482385============="
[1] "###############################"
[1] "###############################"
[1] "####Japanese####DENISOVA###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
t = 50.3412, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.1418078 0.1531670 
sample estimates:
      cor 
0.1474922 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
S = 2.169502e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.1205327 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 6.209156 7.822692 
sample estimates:
odds ratio 
  6.973116 

[1] "==========5.97260086493782e-181============="
[1] "###############################"
[1] "###############################"
[1] "####KOREAN####DENISOVA###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
t = 100.3953, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.2797142 0.2903825 
sample estimates:
      cor 
0.2850572 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
S = 1.980624e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.1970998 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 32.95253 40.97014 
sample estimates:
odds ratio 
  36.73551 

[1] "==========0============="
[1] "###############################"
[1] "###############################"
[1] "####KOREANfamily####DENISOVA###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
t = NA, df = 113961, p-value = NA
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 NA NA 
sample estimates:
cor 
 NA 

[1] "==========NA============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
S = NA, p-value = NA
alternative hypothesis: true rho is not equal to 0 
sample estimates:
rho 
 NA 

[1] "==========NA============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 1
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
   0 Inf 
sample estimates:
odds ratio 
         0 

[1] "==========1============="
[1] "###############################"
[1] "###############################"
[1] "####Luhya####DENISOVA###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
t = -20.4207, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.06616351 -0.05459412 
sample estimates:
        cor 
-0.06038084 

[1] "==========1.60507237055311e-92============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
S = 2.429938e+14, p-value = 4.424e-07
alternative hypothesis: true rho is not equal to 0 
sample estimates:
       rho 
0.01495776 

[1] "==========4.42438625926164e-07============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.4802899 0.5323079 
sample estimates:
odds ratio 
 0.5056676 

[1] "==========1.25839288360884e-156============="
[1] "###############################"
[1] "###############################"
[1] "####MapMapMexican####DENISOVA###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
t = 11.3122, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.02769026 0.03928897 
sample estimates:
       cor 
0.03349074 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
S = 2.257544e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
       rho 
0.08484237 

[1] "==========4.68385001610398e-181============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 6.674e-10
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 1.505353 2.151625 
sample estimates:
odds ratio 
  1.805333 

[1] "==========6.67379254031478e-10============="
[1] "###############################"
[1] "###############################"
[1] "####PuertoRican####DENISOVA###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
t = -1.0442, df = 113961, p-value = 0.2964
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.008898814  0.002712807 
sample estimates:
         cor 
-0.003093108 

[1] "==========0.29640445539464============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and DenisovaMat[, 12] 
S = 2.27866e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
       rho 
0.07628239 

[1] "==========1.1775943233581e-146============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.007926
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.6612003 0.9438803 
sample estimates:
odds ratio 
 0.7927716 

[1] "==========0.0079262254595742============="
[1] "###############################"
[1] "###############################"
[1] "####NEANDERTAL###########"
[1] "###############################"
[1] "###############################"
[1] "####HapMapAfricans####NEANDERTAL###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
t = -32.3848, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.10124336 -0.08973752 
sample estimates:
        cor 
-0.09549363 

[1] "==========4.95997881016369e-229============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
S = 2.478157e+14, p-value = 0.1213
alternative hypothesis: true rho is not equal to 0 
sample estimates:
         rho 
-0.004589063 

[1] "==========0.121337124846146============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.3649401 0.4152588 
sample estimates:
odds ratio 
 0.3894135 

[1] "==========3.13430303872854e-220============="
[1] "###############################"
[1] "###############################"
[1] "####CEPHEuropean####NEANDERTAL###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
t = 80.0186, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.2251399 0.2361340 
sample estimates:
      cor 
0.2306443 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
S = 2.062378e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.1639585 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 11.35197 14.64603 
sample estimates:
odds ratio 
  12.89685 

[1] "==========9.23742836777547e-275============="
[1] "###############################"
[1] "###############################"
[1] "####mixKoreanCEU####NEANDERTAL###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
t = NA, df = 113961, p-value = NA
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 NA NA 
sample estimates:
cor 
 NA 

[1] "==========NA============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
S = NA, p-value = NA
alternative hypothesis: true rho is not equal to 0 
sample estimates:
rho 
 NA 

[1] "==========NA============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 1
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
   0 Inf 
sample estimates:
odds ratio 
         0 

[1] "==========1============="
[1] "###############################"
[1] "###############################"
[1] "####HanChineseBeijing####NEANDERTAL###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
t = 112.2637, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.3103241 0.3207796 
sample estimates:
      cor 
0.3155614 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
S = 1.915385e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.2235462 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 21.73215 26.22708 
sample estimates:
odds ratio 
  23.85974 

[1] "==========0============="
[1] "###############################"
[1] "###############################"
[1] "####HanChineseSouth####NEANDERTAL###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
t = 98.995, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.2760434 0.2867357 
sample estimates:
      cor 
0.2813983 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
S = 1.941148e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.2131023 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 17.36043 21.13364 
sample estimates:
odds ratio 
  19.14737 

[1] "==========0============="
[1] "###############################"
[1] "###############################"
[1] "####Colombian####NEANDERTAL###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
t = 20.2311, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.05403524 0.06560542 
sample estimates:
       cor 
0.05982234 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
S = 2.183831e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.1147239 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 1.758329 2.338798 
sample estimates:
odds ratio 
  2.031643 

[1] "==========7.84105020291528e-20============="
[1] "###############################"
[1] "###############################"
[1] "####HapMapFinnish####NEANDERTAL###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
t = 87.5705, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.2456473 0.2565270 
sample estimates:
      cor 
0.2510951 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
S = 2.02324e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.1798241 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 15.80978 20.01275 
sample estimates:
odds ratio 
  17.78356 

[1] "==========0============="
[1] "###############################"
[1] "###############################"
[1] "####British####NEANDERTAL###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
t = 85.9227, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.2411998 0.2521051 
sample estimates:
      cor 
0.2466603 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
S = 2.043756e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.1715074 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 14.16524 18.07400 
sample estimates:
odds ratio 
  15.99546 

[1] "==========0============="
[1] "###############################"
[1] "###############################"
[1] "####Iberian####NEANDERTAL###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
t = 31.2765, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.08649434 0.09800725 
sample estimates:
       cor 
0.09225388 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
S = 2.211017e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.1037036 

[1] "==========6.06966314110018e-270============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
  4.869724 11.129469 
sample estimates:
odds ratio 
  7.415245 

[1] "==========7.21879045329832e-18============="
[1] "###############################"
[1] "###############################"
[1] "####Japanese####NEANDERTAL###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
t = 103.6191, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.2881189 0.2987309 
sample estimates:
      cor 
0.2934339 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
S = 1.939084e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.2139389 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 20.36614 25.20424 
sample estimates:
odds ratio 
  22.65202 

[1] "==========0============="
[1] "###############################"
[1] "###############################"
[1] "####KOREAN####NEANDERTAL###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
t = 62.0908, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.1752724 0.1865042 
sample estimates:
      cor 
0.1808942 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
S = 1.86051e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.2457911 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
  9.506638 11.730817 
sample estimates:
odds ratio 
   10.5616 

[1] "==========0============="
[1] "###############################"
[1] "###############################"
[1] "####KOREANfamily####NEANDERTAL###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
t = NA, df = 113961, p-value = NA
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 NA NA 
sample estimates:
cor 
 NA 

[1] "==========NA============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
S = NA, p-value = NA
alternative hypothesis: true rho is not equal to 0 
sample estimates:
rho 
 NA 

[1] "==========NA============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 1
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
   0 Inf 
sample estimates:
odds ratio 
         0 

[1] "==========1============="
[1] "###############################"
[1] "###############################"
[1] "####Luhya####NEANDERTAL###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
t = -43.2957, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.1329186 -0.1214948 
sample estimates:
       cor 
-0.1272109 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
S = 2.521784e+14, p-value = 5.463e-14
alternative hypothesis: true rho is not equal to 0 
sample estimates:
        rho 
-0.02227445 

[1] "==========5.46304736987422e-14============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.2699219 0.3006108 
sample estimates:
odds ratio 
 0.2848893 

[1] "==========0============="
[1] "###############################"
[1] "###############################"
[1] "####MapMapMexican####NEANDERTAL###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
t = 35.2761, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.09818424 0.10967055 
sample estimates:
      cor 
0.1039309 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
S = 2.172879e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.1191639 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 4.350725 5.578668 
sample estimates:
odds ratio 
  4.931455 

[1] "==========3.40881297394354e-109============="
[1] "###############################"
[1] "###############################"
[1] "####PuertoRican####NEANDERTAL###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
t = 10.2685, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.02460229 0.03620329 
sample estimates:
       cor 
0.03040381 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and NeanderMat[, 12] 
S = 2.20544e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.1059643 

[1] "==========8.20539933929068e-282============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.06677
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.9890815 1.3197529 
sample estimates:
odds ratio 
  1.144958 

[1] "==========0.066774340308489============="
[1] "###############################"
[1] "###############################"
[1] "####ANCESTOR###########"
[1] "###############################"
[1] "###############################"
[1] "####HapMapAfricans####ANCESTOR###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
t = 7.5577, df = 113961, p-value = 4.13e-14
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.01657862 0.02818453 
sample estimates:
       cor 
0.02238233 

[1] "==========4.13002965160558e-14============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
S = 2.242523e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
       rho 
0.09093175 

[1] "==========8.84699207251728e-208============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.8133
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.9428588 1.0771724 
sample estimates:
odds ratio 
  1.007993 

[1] "==========0.813298133313257============="
[1] "###############################"
[1] "###############################"
[1] "####CEPHEuropean####ANCESTOR###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
t = 8.1819, df = 113961, p-value = 4.441e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.01842654 0.03003145 
sample estimates:
       cor 
0.02422981 

[1] "==========4.44089209850063e-16============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
S = 2.298643e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
       rho 
0.06818166 

[1] "==========1.70481686976428e-117============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.1166
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.9231497 1.6906790 
sample estimates:
odds ratio 
  1.262733 

[1] "==========0.116560970404029============="
[1] "###############################"
[1] "###############################"
[1] "####mixKoreanCEU####ANCESTOR###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
t = NA, df = 113961, p-value = NA
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 NA NA 
sample estimates:
cor 
 NA 

[1] "==========NA============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
S = NA, p-value = NA
alternative hypothesis: true rho is not equal to 0 
sample estimates:
rho 
 NA 

[1] "==========NA============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 1
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
   0 Inf 
sample estimates:
odds ratio 
         0 

[1] "==========1============="
[1] "###############################"
[1] "###############################"
[1] "####HanChineseBeijing####ANCESTOR###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
t = 7.2033, df = 113961, p-value = 5.913e-13
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.01552924 0.02713568 
sample estimates:
       cor 
0.02133318 

[1] "==========5.91304782915358e-13============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
S = 2.312759e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
       rho 
0.06245967 

[1] "==========7.04067538529987e-99============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.09542
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.9602444 1.4935210 
sample estimates:
odds ratio 
   1.20417 

[1] "==========0.0954226642081356============="
[1] "###############################"
[1] "###############################"
[1] "####HanChineseSouth####ANCESTOR###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
t = 7.2675, df = 113961, p-value = 3.686e-13
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.01571923 0.02732559 
sample estimates:
       cor 
0.02152314 

[1] "==========3.68594044175552e-13============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
S = 2.318387e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.0601782 

[1] "==========6.51192665216721e-92============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.147
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.9301004 1.4908984 
sample estimates:
odds ratio 
  1.185123 

[1] "==========0.146978181269308============="
[1] "###############################"
[1] "###############################"
[1] "####Colombian####ANCESTOR###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
t = 4.614, df = 113961, p-value = 3.955e-06
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.00786120 0.01947076 
sample estimates:
       cor 
0.01366644 

[1] "==========3.95491357996214e-06============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
S = 2.177344e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.1173538 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.2961
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.657866 1.119164 
sample estimates:
odds ratio 
  0.865285 

[1] "==========0.296114283157955============="
[1] "###############################"
[1] "###############################"
[1] "####HapMapFinnish####ANCESTOR###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
t = 11.1275, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.02714393 0.03874306 
sample estimates:
      cor 
0.0329446 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
S = 2.29721e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
       rho 
0.06876263 

[1] "==========1.77791470864333e-119============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.003557
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 1.131633 1.904115 
sample estimates:
odds ratio 
  1.479207 

[1] "==========0.00355694321731651============="
[1] "###############################"
[1] "###############################"
[1] "####British####ANCESTOR###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
t = 9.3452, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.02186989 0.03347273 
sample estimates:
       cor 
0.02767224 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
S = 2.298877e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
       rho 
0.06808685 

[1] "==========3.57678621785983e-117============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.0001334
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 1.285308 2.141259 
sample estimates:
odds ratio 
  1.671021 

[1] "==========0.000133385354326485============="
[1] "###############################"
[1] "###############################"
[1] "####Iberian####ANCESTOR###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
t = 4.01, df = 113961, p-value = 6.076e-05
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.006072263 0.017682356 
sample estimates:
       cor 
0.01187771 

[1] "==========6.07642964403077e-05============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
S = 2.344188e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
     rho 
0.049719 

[1] "==========2.67545826490135e-63============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.6138
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.3839085 2.9092341 
sample estimates:
odds ratio 
  1.207294 

[1] "==========0.613795025102928============="
[1] "###############################"
[1] "###############################"
[1] "####Japanese####ANCESTOR###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
t = 8.6001, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.01966453 0.03126873 
sample estimates:
       cor 
0.02546749 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
S = 2.305663e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
       rho 
0.06533618 

[1] "==========4.94218898401944e-108============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.004125
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 1.114714 1.785099 
sample estimates:
odds ratio 
  1.419424 

[1] "==========0.00412459209547937============="
[1] "###############################"
[1] "###############################"
[1] "####KOREAN####ANCESTOR###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
t = -8.6276, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.03134986 -0.01974570 
sample estimates:
        cor 
-0.02554864 

[1] "==========6.34643047353419e-18============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
S = 2.524961e+14, p-value = 1.787e-15
alternative hypothesis: true rho is not equal to 0 
sample estimates:
        rho 
-0.02356246 

[1] "==========1.78657292770906e-15============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.004764
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 1.109410 1.765944 
sample estimates:
odds ratio 
  1.408204 

[1] "==========0.0047644020146655============="
[1] "###############################"
[1] "###############################"
[1] "####KOREANfamily####ANCESTOR###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
t = NA, df = 113961, p-value = NA
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 NA NA 
sample estimates:
cor 
 NA 

[1] "==========NA============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
S = NA, p-value = NA
alternative hypothesis: true rho is not equal to 0 
sample estimates:
rho 
 NA 

[1] "==========NA============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 1
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
   0 Inf 
sample estimates:
odds ratio 
         0 

[1] "==========1============="
[1] "###############################"
[1] "###############################"
[1] "####Luhya####ANCESTOR###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
t = 14.1257, df = 113961, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.03601027 0.04760170 
sample estimates:
       cor 
0.04180739 

[1] "==========0============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
S = 2.227198e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
       rho 
0.09714391 

[1] "==========5.5895132541976e-237============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.5433
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.9583946 1.0840425 
sample estimates:
odds ratio 
  1.019272 

[1] "==========0.543339628492115============="
[1] "###############################"
[1] "###############################"
[1] "####MapMapMexican####ANCESTOR###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
t = 2.0166, df = 113961, p-value = 0.04374
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.0001676027 0.0117789199 
sample estimates:
        cor 
0.005973463 

[1] "==========0.0437433653883386============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
S = 2.223255e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
       rho 
0.09874244 

[1] "==========8.24984306553534e-245============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.04167
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.5090666 0.9912075 
sample estimates:
odds ratio 
 0.7201113 

[1] "==========0.0416695063608572============="
[1] "###############################"
[1] "###############################"
[1] "####PuertoRican####ANCESTOR###########"
[1] "###############################"

	Pearson's product-moment correlation

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
t = 4.5373, df = 113961, p-value = 5.703e-06
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.007634225 0.019243859 
sample estimates:
       cor 
0.01343949 

[1] "==========5.70291622548069e-06============="

	Spearman's rank correlation rho

data:  SubPopCorMat[, pop] and AncestMat[, 12] 
S = 2.164977e+14, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0 
sample estimates:
      rho 
0.1223671 

[1] "==========0============="

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.1351
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.9527871 1.3868034 
sample estimates:
odds ratio 
  1.153986 

[1] "==========0.135097338172004============="
[1] "###############################"
[1] "###############################"
[1] "####DENISOVA 2###########"
[1] "###############################"
[1] "###############################"
[1] "####HapMapAfricans####DENISOVA 2###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.4713153 0.5857694 
sample estimates:
odds ratio 
 0.5259108 

[1] "==========1.25520289139374e-35============="
[1] "###############################"
[1] "###############################"
[1] "####CEPHEuropean####DENISOVA 2###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 1.451e-09
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 1.999047 3.609188 
sample estimates:
odds ratio 
  2.712584 

[1] "==========1.450631364574e-09============="
[1] "###############################"
[1] "###############################"
[1] "####mixKoreanCEU####DENISOVA 2###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 1
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
   0 Inf 
sample estimates:
odds ratio 
         0 

[1] "==========1============="
[1] "###############################"
[1] "###############################"
[1] "####HanChineseBeijing####DENISOVA 2###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
  8.954095 11.688134 
sample estimates:
odds ratio 
   10.2446 

[1] "==========3.1934711844044e-170============="
[1] "###############################"
[1] "###############################"
[1] "####HanChineseSouth####DENISOVA 2###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
  7.867137 10.506589 
sample estimates:
odds ratio 
  9.101957 

[1] "==========3.39312090515366e-131============="
[1] "###############################"
[1] "###############################"
[1] "####Colombian####DENISOVA 2###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.4953
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.5817846 1.2301786 
sample estimates:
odds ratio 
  0.861006 

[1] "==========0.495344705925417============="
[1] "###############################"
[1] "###############################"
[1] "####HapMapFinnish####DENISOVA 2###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 1.953e-13
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 2.282778 3.855839 
sample estimates:
odds ratio 
  2.989197 

[1] "==========1.95322137748968e-13============="
[1] "###############################"
[1] "###############################"
[1] "####British####DENISOVA 2###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 9.04e-14
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 2.362811 4.026125 
sample estimates:
odds ratio 
  3.108312 

[1] "==========9.04002219418801e-14============="
[1] "###############################"
[1] "###############################"
[1] "####Iberian####DENISOVA 2###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.001429
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 1.666270 8.129022 
sample estimates:
odds ratio 
  3.967493 

[1] "==========0.00142923996097206============="
[1] "###############################"
[1] "###############################"
[1] "####Japanese####DENISOVA 2###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
  7.678624 10.478076 
sample estimates:
odds ratio 
  8.985893 

[1] "==========2.42803049466568e-112============="
[1] "###############################"
[1] "###############################"
[1] "####KOREAN####DENISOVA 2###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 13.66698 17.81356 
sample estimates:
odds ratio 
  15.62009 

[1] "==========5.78190011849957e-234============="
[1] "###############################"
[1] "###############################"
[1] "####KOREANfamily####DENISOVA 2###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 1
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
   0 Inf 
sample estimates:
odds ratio 
         0 

[1] "==========1============="
[1] "###############################"
[1] "###############################"
[1] "####Luhya####DENISOVA 2###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.3838163 0.4610553 
sample estimates:
odds ratio 
 0.4208231 

[1] "==========4.13608716706465e-84============="
[1] "###############################"
[1] "###############################"
[1] "####MapMapMexican####DENISOVA 2###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.0004223
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 1.282979 2.362231 
sample estimates:
odds ratio 
  1.760132 

[1] "==========0.000422281613536404============="
[1] "###############################"
[1] "###############################"
[1] "####PuertoRican####DENISOVA 2###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.8363
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.7153134 1.2649460 
sample estimates:
odds ratio 
 0.9605794 

[1] "==========0.836252052698655============="
[1] "###############################"
[1] "###############################"
[1] "####DENISOVA 3###########"
[1] "###############################"
[1] "###############################"
[1] "####HapMapAfricans####DENISOVA 3###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 5.602e-07
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.5737924 0.7951261 
sample estimates:
odds ratio 
 0.6773751 

[1] "==========5.60207067234264e-07============="
[1] "###############################"
[1] "###############################"
[1] "####CEPHEuropean####DENISOVA 3###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.3468
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.5860867 3.0912209 
sample estimates:
odds ratio 
  1.475035 

[1] "==========0.346756653101362============="
[1] "###############################"
[1] "###############################"
[1] "####mixKoreanCEU####DENISOVA 3###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 1
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
   0 Inf 
sample estimates:
odds ratio 
         0 

[1] "==========1============="
[1] "###############################"
[1] "###############################"
[1] "####HanChineseBeijing####DENISOVA 3###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
  9.362928 14.559946 
sample estimates:
odds ratio 
  11.71995 

[1] "==========2.11362595513291e-68============="
[1] "###############################"
[1] "###############################"
[1] "####HanChineseSouth####DENISOVA 3###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
  8.65121 13.38470 
sample estimates:
odds ratio 
  10.80273 

[1] "==========6.32487643287742e-66============="
[1] "###############################"
[1] "###############################"
[1] "####Colombian####DENISOVA 3###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.3258
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.3082229 1.2969954 
sample estimates:
odds ratio 
 0.6779204 

[1] "==========0.325799710363121============="
[1] "###############################"
[1] "###############################"
[1] "####HapMapFinnish####DENISOVA 3###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.0009564
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 1.488100 4.734157 
sample estimates:
odds ratio 
   2.76487 

[1] "==========0.000956363764417181============="
[1] "###############################"
[1] "###############################"
[1] "####British####DENISOVA 3###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.5102
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.5125564 2.6945760 
sample estimates:
odds ratio 
  1.288283 

[1] "==========0.510242340144575============="
[1] "###############################"
[1] "###############################"
[1] "####Iberian####DENISOVA 3###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.05266
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
  0.7385717 11.7091325 
sample estimates:
odds ratio 
  3.731449 

[1] "==========0.0526611189244947============="
[1] "###############################"
[1] "###############################"
[1] "####Japanese####DENISOVA 3###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
  7.057263 12.022348 
sample estimates:
odds ratio 
  9.268252 

[1] "==========3.8148477289725e-40============="
[1] "###############################"
[1] "###############################"
[1] "####KOREAN####DENISOVA 3###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 14.01431 18.46452 
sample estimates:
odds ratio 
  16.10345 

[1] "==========9.53707504586283e-221============="
[1] "###############################"
[1] "###############################"
[1] "####KOREANfamily####DENISOVA 3###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 1
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
   0 Inf 
sample estimates:
odds ratio 
         0 

[1] "==========1============="
[1] "###############################"
[1] "###############################"
[1] "####Luhya####DENISOVA 3###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value < 2.2e-16
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.4754415 0.5903696 
sample estimates:
odds ratio 
 0.5302662 

[1] "==========6.62116245203498e-35============="
[1] "###############################"
[1] "###############################"
[1] "####MapMapMexican####DENISOVA 3###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.00391
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 1.247704 3.318184 
sample estimates:
odds ratio 
  2.095497 

[1] "==========0.00391038761186891============="
[1] "###############################"
[1] "###############################"
[1] "####PuertoRican####DENISOVA 3###########"
[1] "###############################"

	Fisher's Exact Test for Count Data

data:  conf 
p-value = 0.1497
alternative hypothesis: true odds ratio is not equal to 1 
95 percent confidence interval:
 0.880634 1.945959 
sample estimates:
odds ratio 
  1.334869 

[1] "==========0.149749415791789============="
[1] "###############################"