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Interpreting Whole-Genome Marker Data.


ABSTRACT: The challenges of whole-genome data, when genotypes are available from hundreds of thousands of genetic markers, are explored for four topics in statistical genetics: Hardy-Weinberg testing, estimating linkage disequilibrium from unphased genotypic data, association mapping and characterizing population structure.

SUBMITTER: Weir BS 

PROVIDER: S-EPMC3836609 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature

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Interpreting Whole-Genome Marker Data.

Weir Bruce S BS  

Statistics in biosciences 20131101 2


The challenges of whole-genome data, when genotypes are available from hundreds of thousands of genetic markers, are explored for four topics in statistical genetics: Hardy-Weinberg testing, estimating linkage disequilibrium from unphased genotypic data, association mapping and characterizing population structure. ...[more]

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