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While communities will obviously share distance, they are also to a lesser extent likely to share wealth.
As communities share distance more precisely it may be that effects of distance are diffused more than socio-economic status, but it is correct that this happens and it is probable that studies without such controls are giving unjustified emphasis to distance.
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Using microsat (Minch et al. 1998), we evaluated population-level pairwise allele-sharing distance (one minus the proportion of shared alleles), using all 246 loci in the MS5519 set.
The collaboration is on sharing distance and position information within -hops but each node is still responsible for locating itself.
The two sources are located N hop's distance from each other on the same road, and each source is willing to disseminate its data in a certain area which is the shared distance between them.
The neighbor-joining tree was constructed based on the allele-sharing distance.
We used 10,000 random autosomal SNPs in linkage equilibrium for estimation of the allele sharing distance matrix.
While comparisons at the individual level were not well-correlated across marker types, this was not the case for population-level comparisons: the correlation between allele-sharing distance among populations was >0.99 (Mantel test).
The genetic distance used was Chakraborty and Jin's allele- shared distance (Chakraborty and Jin 1993).
The network was created using the allele-sharing distance Ds [ 66] and the program POPULATIONS v1.2.28 [ 67].
Using these SNPs, identity-by-state (IBS) allele sharing distance (DST values) was computed using PLINK (49), as such: DST = IBS distance (IBS2 + 0.5 × IBS1)/(n SNP pairs).
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