Table 1

Analysis of human microsatellite diversity data using 30 tetranucleotide repeat microsatellites

PopulationAverage varianceNo. of chromosomesWithin-locus (k) test Interlocus (g) test
Positive/totalP valueg ratioP value*
San5.020–308/30P < 0.0051.07P < 0.49
Sotho-Tswana5.228–389/30P < 0.0141.00P < 0.50
Tsonga5.424–2813/30P < 0.240.87P < 0.32
Biaka Pygmy6.31016/28P < 0.781.11P < 0.47
Nguni5.926–2813/30P < 0.241.81P < 0.84
Mbuti Pygmy4.61015/26P < 0.801.89P < 0.80
Malay3.410–1215/23P < 0.941.29P < 0.64
Japanese4.130–3813/30P < 0.241.32P < 0.68
Chinese4.530–3411/30P < 0.071.67P < 0.82
Cambodian5.420–2417/30P < 0.772.17P < 0.88
Vietnamese5.012–1812/30P < 0.142.47P < 0.89
North European5.4130–14012/30P < 0.141.82P < 0.84
French5.536–4014/30P < 0.361.93P < 0.84
  • P values for the within-locus test are calculated from a binomial distribution, with probability of a positive k taken conservatively at 0.515. P values for the interlocus g test are calculated from a distribution that is empirically generated using 1,000 computer simulations. For the inputs to the coalescent simulations, we use the actual number of loci and samples in our data and estimate Nμ (the mutation rate times population size) as half the variance. Note that inaccuracy in this estimate of Nμ is not a problem for the interlocus test because g has the useful property of being independent of Nμ (D.E.R. et al., unpublished data). 

  • * The g values are biased high because of variation in the mutation rate. This also causes the P values to be biased high, and hence we only list adjusted P values that are obtained after correcting for variation in the mutation rate.