A simple Bayesian mixture model with a hybrid procedure for genome-wide association studies
β Scribed by Wei, Yu-Chung; Wen, Shu-Hui; Chen, Pei-Chun; Wang, Chih-Hao; Hsiao, Chuhsing K
- Book ID
- 109849397
- Publisher
- Nature Publishing Group
- Year
- 2010
- Tongue
- English
- Weight
- 435 KB
- Volume
- 18
- Category
- Article
- ISSN
- 1018-4813
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## Abstract Most disease association mapping algorithms are based on hypothesis testing procedures that test one variant at a time. Those methods lose power when the disease mutations are jointly tagged by multiple variants, or when geneβgene interaction exist. Nearby variants are also correlated,
Genome-wide association studies (GWAS) have been frequently conducted on general or isolated populations with related individuals. However, there is a lack of consensus on which strategy is most appropriate for analyzing dichotomous phenotypes in general pedigrees. Using simulation studies, we compa