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Article

Multiple testing in genome-wide association studies via hidden Markov models.

Bioinformatics (Oxford, England) - 1 Nov 2009

Wei Zhi, Sun Wenguang, Wang Kai, Hakonarson Hakon

Abstract excerpt

MOTIVATION: Genome-wide association studies (GWAS) interrogate common genetic variation across the entire human genome in an unbiased manner and hold promise in identifying genetic variants with moderate or weak effect sizes. However, conventional testing procedures, which are mostly P-value based, ignore the dependency and therefore suffer from loss of efficiency. The goal of this article is to exploit the...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 19654115
DOI: 10.1093/bioinformatics/btp476

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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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