Coverage and power in genomewide association studies

被引：37

作者：

Jorgenson, E ^{[1
]}

Witte, JS ^{[1
]}

机构：

[1] Univ Calif San Francisco, Ctr Human Genet, Dept Epidemiol & Biostat, San Francisco, CA 94143 USA

来源：

AMERICAN JOURNAL OF HUMAN GENETICS | 2006年 / 78卷 / 05期

关键词：

D O I：

10.1086/503751

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

The ability of genomewide association studies to decipher genetic traits is driven in part by how well the measured single-nucleotide polymorphisms "cover" the unmeasured causal variants. Estimates of coverage based on standard linkage-disequilibrium measures, such as the average maximum squared correlation coefficient (r(2)), can lead to inaccurate and inflated estimates of the power of genomewide association studies. In contrast, use of the "cumulative r(2) adjusted power" measure presented here gives more-accurate estimates of power for genomewide association studies.

引用

页码：884 / 888

页数：5

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