相关样本中复杂性状的全基因组和测序关联研究的统计方法。
Statistical methods for genome-wide and sequencing association studies of complex traits in related samples.
作者信息
Thornton Timothy A
机构信息
Department of Biostatistics, University of Washington, Seattle, Washington.
出版信息
Curr Protoc Hum Genet. 2015 Jan 20;84:1.28.1-1.28.9. doi: 10.1002/0471142905.hg0128s84.
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.
摘要
全基因组关联研究（GWAS）和测序研究经常用于识别与复杂性状相关的基因变异。许多关联定位的基因研究都纳入了亲属个体。当在关联分析中纳入亲属时，必须适当考虑家族相关性，以确保正确的I型错误率并提高检验效能。本单元概述了可用于对包含亲属个体的样本进行复杂性状的GWAS和测序关联研究的统计方法。
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