These H values can be tabulated for several different levels of the hierarchy described above

These H values can be tabulated for several different levels of the hierarchy described above

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These H values can be tabulated for several different levels of the hierarchy described above: by considering a single population's p and q, or the average p and average q within a single race (averaged among all populations within that race = H pop ), or the average p and average q for all races (pooling all populations within a race to determine the p for that race, then averaging the p's for each of the races = H race ). H species will be determined by pooling all populations irrespective of race to obtain a species-wide p, then calculating H = 2pq (or as above for the multiple allele case). Thus we can have an H pop which will be less than H race which, in turn, will be less than H
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Unformatted text preview: species . These H values can then be partitioned or apportioned so that the total variation within humans can be attributed to the within population component or to the within race component or to the between race component . The simple expressions for these, and the data for each locus are presented below. The conclusions from the results are very clear. Of all the variation within humans, 85.4% of it lies within populations (i.e. is due to variation among individuals within populations). An additional 8.3% lies between populations within races . Only 6.3% of all the genetic variation within humans is due to differences between races !...
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