Gene-Environment Interaction in Genome-Wide Association Studies
Gene-Environment Interaction in Genome-Wide Association Studies
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DOI：
10.1093/aje/kwn353
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发表时间：
2009-01-15
影响因子：
5
通讯作者：
Gauderman, W. James
中科院分区：
文献类型：
--
作者：
Murcray, Cassandra E.;Lewinger, Juan Pablo;Gauderman, W. James
人们普遍认为，大多数复杂疾病（例如糖尿病、哮喘、癌症）部分受到基因和环境因素之间相互作用的影响。然而，进行全基因组关联研究的研究人员通常仅测试每个遗传标记对疾病的边际影响。在本文中，作者提出了一种高效且易于实施的全基因组关联研究数据的两步分析，旨在识别参与基因-环境相互作用的基因。该程序补充了边缘遗传效应的筛查，因此有可能发现以前未发现的新遗传信号。
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.