Statistical methods for genome-wide and sequencing association studies of complex traits in related samples.
Statistical methods for genome-wide and sequencing association studies of complex traits in related samples.
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DOI：
10.1002/0471142905.hg0128s84
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发表时间：
2015-01-20
影响因子：
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通讯作者：
Thornton, Timothy A
中科院分区：
文献类型：
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作者：
Thornton, Timothy A
全基因组关联研究和测序研究通常用于识别与复杂性状相关的遗传变异。许多用于关联作图的遗传研究包括相关个体。当亲属被包括在关联分析中时，必须适当地考虑家族相关性，以确保纠正I类错误并增加权力。本单元概述了可用于对相关个体样本中的复杂性状进行GWAS和测序关联研究的统计方法。
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 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.