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Gene-environment interaction in genome-wide association studies.


ABSTRACT: 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.

SUBMITTER: Murcray CE 

PROVIDER: S-EPMC2732981 | biostudies-literature |

REPOSITORIES: biostudies-literature

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