title: 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.
authors.affiliation: Department of Biostatistics, University of Washington, Box 357232, Seattle, WA 98195-7232, USA, Tel.: +1-206-221-7947.
authors.forename: Bruce S
authors.initials: BS
authors.lastname: Weir
keywords: Association Mapping; Hardy-Weinberg; Linkage Disequilibrium; Population Structure; SNPs