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Article

Integrative Bayesian variable selection with gene-based informative priors for genome-wide association studies.

BMC genetics - 10 Dec 2014

Zhang Xiaoshuai, Xue Fuzhong, Liu Hong, Zhu Dianwen, Peng Bin, Wiemels Joseph L, Yang Xiaowei

Abstract excerpt

BACKGROUND: Genome-wide Association Studies (GWAS) are typically designed to identify phenotype-associated single nucleotide polymorphisms (SNPs) individually using univariate analysis methods. Though providing valuable insights into genetic risks of common diseases, the genetic variants identified by GWAS generally account for only a small proportion of the total heritability for complex diseases. To solve this...

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Identifiers

PMID: 25491445
DOI: 10.1186/s12863-014-0130-7
PMCID: PMC4275962

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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