title: Statistical methods for genome-wide and sequencing association studies of complex traits in related samples.
abstract: Genome-wide association studies (GWAS) and sequencing studies are routinely conducted for the identification of genetic variants that are associated with complex traits. Many genetic studies for association mapping include related individuals. When relatives are included in an association analysis, familial correlations must be appropriately taken into account to ensure correct type I error and to increase power. This unit provides an overview of statistical methods that are available for GWAS and sequencing association studies of complex traits in samples with related individuals.
authors.affiliation: Department of Biostatistics, University of Washington, Seattle, Washington.
authors.forename: Timothy A
authors.initials: TA
authors.lastname: Thornton
mesh_terms: D016022:Case-Control Studies; D003627:Data Interpretation, Statistical; D005190:Family; D005260:Female; D014644:Genetic Variation; D055106:Genome-Wide Association Study / Q000706:statistics & numerical data*; D006801:Humans; D008297:Male; D008957:Models, Genetic; D010641:Phenotype; D040641:Quantitative Trait Loci; D019655:Quantitative Trait, Heritable; D017422:Sequence Analysis, DNA
keywords: GWAS; association mapping; complex traits; family data; genome-wide association studies; mixed models; relatedness; sequence