Gene-Environment Interaction in Genome-Wide Association Studies

被引:217
作者
Murcray, Cassandra E. [1 ]
Lewinger, Juan Pablo [1 ]
Gauderman, W. James [1 ]
机构
[1] Univ So Calif, Dept Prevent Med, Los Angeles, CA 90089 USA
关键词
BREAST-CANCER; AIR-POLLUTION; SUSCEPTIBILITY; RISK; ASTHMA; LOCI; REPLICATION; CHILDREN; SMOKING;
D O I
10.1093/aje/kwn353
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
It is a commonly held belief that most complex diseases (e.g., diabetes, asthma, cancer) are affected in part by interactions between genes and environmental factors. However, investigators conducting genome-wide association studies typically test for only the marginal effects of each genetic marker on disease. In this paper, the authors propose an efficient and easily implemented 2-step analysis of genome-wide association study data aimed at identifying genes involved in a gene-environment interaction. The procedure complements screening for marginal genetic effects and thus has the potential to uncover new genetic signals that have not been identified previously.
引用
收藏
页码:219 / 226
页数:8
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