Title | Exploring Data From Genetic Association Studies Using Bayesian Variable Selection and the Dirichlet Process: Application to Searching for Gene × Gene Patterns |
Publication Type | Journal Article |
Year of Publication | 2012 |
Authors | Papathomas, M, Molitor, J, Hoggart, C, Hastie, D, Richardson, S |
Journal | Genetic Epidemiology |
Volume | 36 |
Issue | 6 |
Pagination | 663 - 674 |
Date Published | 09/2012 |
Abstract | We construct data exploration tools for recognizing important covariate patterns associated with a phenotype, with particular focus on searching for association with gene-gene patterns. To this end, we propose a new variable selection procedure that employs latent selection weights and compare it to an alternative formulation. The selection procedures are implemented in tandem with a Dirichlet process mixture model for the flexible clustering of genetic and epidemiological profiles. We illustrate our approach with the aid of simulated data and the analysis of a real data set from a genome-wide association study. |
DOI | 10.1002/gepi.21661 |