A gene-centric approach to genome-wide association studies

被引:81
|
作者
Jorgenson, Eric [1 ]
Witte, John S.
机构
[1] Univ Calif San Francisco, Dept Epidemiol & Biostat, San Francisco, CA 94143 USA
[2] Univ Calif San Francisco, Ctr Human Genet, San Francisco, CA 94143 USA
基金
美国国家卫生研究院;
关键词
D O I
10.1038/nrg1962
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Genic variants are more likely to alter gene function and affect disease risk than those that occur outside genes. Variants in genes, however, might not be sufficiently covered by the existing approaches to genome-wide association studies. Our analysis of the HapMap ENCODE data indicates that this concern is valid, and that an alternative approach that focuses on genic variants provides a more complete coverage of functionally important regions and a greater genotyping efficiency. We therefore argue that resources should be developed to make gene-centric genome-wide association studies feasible.
引用
收藏
页码:885 / 891
页数:7
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