Estimating coverage and power for genetic association studies using near-complete variation data

被引：65

作者：

Bhangale, Tushar R. ^{[1
]}

Rieder, Mark J. ^{[1
]}

Nickerson, Deborah A. ^{[1
]}

机构：

[1] Univ Washington, Dept Genome Sci, Seattle, WA 98195 USA

来源：

NATURE GENETICS | 2008年 / 40卷 / 07期

关键词：

D O I：

10.1038/ng.180

中图分类号：

Q3 [遗传学];

学科分类号：

071007 [遗传学]; 090102 [作物遗传育种];

摘要：

Although studies suggest that SNPs derived from HapMap provide promising coverage and power for association studies, the lack of alternative variation datasets limits independent analysis. Using near-complete variation data for 76 genes resequenced in HapMap samples, we find that coverage of common variation by commercial genotyping arrays is substantially lower compared to the HapMap-based estimates. We quantify the power offered by these arrays for a range of disease models.

引用

页码：841 / 843

页数：3

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