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Ethnic-affiliation estimation by use of population-specific DNA markers.

TLDR
Through a search of the literature and of unpublished data on allele frequencies, a panel of population-specific genetic markers are identified that enable robust ethnic-affiliation estimation for major U.S. resident populations and it is demonstrated that this panel of markers provides significant statistical power for ethnic-Affiliation estimation.
Abstract
During the past 10 years, DNA analysis has revolutionized the determination of identity in a forensic context Statements about the biological identity of two human DNA samples now can be made with complete confidence Although DNA markers are very powerful for distinguishing among individuals, most offer little power to distinguish ethnicity or to support any statement about the physical characteristics of an individual Through a search of the literature and of unpublished data on allele frequencies we have identified a panel of population-specific genetic markers that enable robust ethnic-affiliation estimation for major US resident populations In this report, we identify these loci and present their levels of allele-frequency differential between ethnically defined samples, and we demonstrate, using log-likelihood analysis, that this panel of markers provides significant statistical power for ethnic-affiliation estimation In addition to their use in forensic ethnic-affiliation estimation, population-specific genetic markers are very useful in both population- and individual-level admixture estimation and in mapping genes by use of the linkage disequilibrium created when populations hybridize

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Use of unlinked genetic markers to detect population stratification in association studies.

TL;DR: It is shown that the case-control-study design, using unrelated control individuals, is a valid approach for association mapping, provided that marker loci unlinked to the candidate locus are included in the study, to test for stratification.
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Long-distance seed dispersal in plant populations.

TL;DR: It is argued that genetic methods provide a broadly applicable way to monitor long-distance seed dispersal and, hence, that better data is needed from the tails of seeds that travel long distances.
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Estimating F-statistics.

TL;DR: A moment estimator of, the coancestry coefficient for alleles within a population, was described by Weir & Cockerham in 1984 and is still widely cited, by relating functions of theta values to times of population divergence under a pure drift model.
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Color and genomic ancestry in Brazilians

TL;DR: The data suggest that in Brazil, at an individual level, color, as determined by physical evaluation, is a poor predictor of genomic African ancestry, estimated by molecular markers.
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Mutation rate in human microsatellites: influence of the structure and length of the tandem repeat.

TL;DR: The data demonstrate that mutation rates of different loci can differ by several orders of magnitude and that different alleles at one locus exhibit different mutation rates.
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