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Inference of population structure using multilocus genotype data.
TLDR
A model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations that can be applied to most of the commonly used genetic markers, provided that they are not closely linked.
Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies.
TLDR
Extensions to the method of Pritchard et al. for inferring population structure from multilocus genotype data are described and methods that allow for linkage between loci are developed, which allows identification of subtle population subdivisions that were not detectable using the existing method.
Inference of population structure using multilocus genotype data: dominant markers and null alleles
TLDR
A simple approach for accounting for genotypic ambiguity in studies of population structure and apply it to AFLP data from whitefish is presented.
Inferring weak population structure with the assistance of sample group information
TLDR
It is demonstrated that the new models developed for the structure program allow structure to be detected at lower levels of divergence, or with less data, than the original structure models or principal components methods, and that they are not biased towards detecting structure when it is not present.
Inference of Population Splits and Mixtures from Genome-Wide Allele Frequency Data
TLDR
A statistical model for inferring the patterns of population splits and mixtures in multiple populations and it is shown that a simple bifurcating tree does not fully describe the data; in contrast, many migration events are inferred.
A Map of Recent Positive Selection in the Human Genome
TLDR
A set of SNPs is developed that can be used to tag the strongest ∼250 signals of recent selection in each population, and it is found that by some measures the authors' strongest signals of selection are from the Yoruba population.
Association mapping in structured populations.
TLDR
This article describes a novel, statistically valid, method for case-control association studies in structured populations that uses a set of unlinked genetic markers to infer details of population structure, and to estimate the ancestry of sampled individuals, before using this information to test for associations within subpopulations.
The Genotype-Tissue Expression (GTEx) project
TLDR
The Genotype-Tissue Expression (GTEx) project is described, which will establish a resource database and associated tissue bank for the scientific community to study the relationship between genetic variation and gene expression in human tissues.
Genetic Structure of Human Populations
TLDR
General agreement of genetic and predefined populations suggests that self-reported ancestry can facilitate assessments of epidemiological risks but does not obviate the need to use genetic information in genetic association studies.
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