Bayesian model comparison in genetic association analysis: linear mixed modeling and SNP set testing.

Abstract

We consider the problems of hypothesis testing and model comparison under a flexible Bayesian linear regression model whose formulation is closely connected with the linear mixed effect model and the parametric models for Single Nucleotide Polymorphism (SNP) set analysis in genetic association studies. We derive a class of analytic approximate Bayes factors… (More)
DOI: 10.1093/biostatistics/kxv009

Topics

6 Figures and Tables

Cite this paper

@article{Wen2015BayesianMC, title={Bayesian model comparison in genetic association analysis: linear mixed modeling and SNP set testing.}, author={Xiaoquan Wen}, journal={Biostatistics}, year={2015}, volume={16 4}, pages={701-12} }