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Article

Hidden Markov models for controlling false discovery rate in genome-wide association analysis.

Methods in molecular biology (Clifton, N.J.) - 1 Jan 2012

Wei Zhi

Abstract excerpt

Genome-wide association studies (GWAS) have shown notable success in identifying susceptibility genetic variants of common and complex diseases. To date, the analytical methods of published GWAS have largely been limited to single single nucleotide polymorphism (SNP) or SNP-SNP pair analysis, coupled with multiplicity control using the Bonferroni procedure to control family wise error rate (FWER). However, since...

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PMID: 22130891
DOI: 10.1007/978-1-61779-400-1_22

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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