Gene-environment interaction in genome-wide association studies.
paper
Cited
Public
Unavailable
- Authors
- Murcray, Cassandra E; Lewinger, Juan Pablo; Gauderman, W James
- Year
- 2009
- Journal
- American journal of epidemiology
- PMID
- 19022827
- DOI
- 10.1093/aje/kwn353
- PMCID
- PMC2732981
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.
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