A partition-based approach to identify gene-environment interactions in genome wide association studies
✍ Scribed by Ruixue Fan,Chien-Hsun Huang,Inchi Hu,Haitian Wang,Tian Zheng…
- Book ID
- 126380070
- Publisher
- BioMed Central
- Year
- 2014
- Tongue
- English
- Weight
- 579 KB
- Volume
- 8
- Category
- Article
- ISSN
- 1753-6561
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Many complex diseases are likely to be a result of the interplay of genes and environmental exposures. The standard analysis in a genome-wide association study (GWAS) scans for main effects and ignores the potentially useful information in the available exposure data. Two recently proposed methods t
## Abstract In this paper we investigate the power to identify gene × gene interactions in genome‐wide association studies. In our analysis we focus on two‐stage analyses: analyses in which we only test for interactions between single nucleotide polymorphisms that show some marginal effect. We give