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The Bayesian lasso for genome-wide association studies

By Jiahan Li, Kiranmoy Das, Guifang Fu, Runze Li and Rongling Wu

Abstract

Motivation: Despite their success in identifying genes that affect complex disease or traits, current genome-wide association studies (GWASs) based on a single SNP analysis are too simple to elucidate a comprehensive picture of the genetic architecture of phenotypes. A simultaneous analysis of a large number of SNPs, although statistically challenging, especially with a small number of samples, is crucial for genetic modeling

Topics: Original Papers
Publisher: Oxford University Press
OAI identifier: oai:pubmedcentral.nih.gov:3105480
Provided by: PubMed Central
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