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Article

Assessing statistical significance in multivariable genome wide association analysis.

Bioinformatics (Oxford, England) - 1 Jul 2016

Buzdugan Laura, Kalisch Markus, Navarro Arcadi, Schunk Daniel, Fehr Ernst, Bühlmann Peter

Abstract excerpt

MOTIVATION: Although Genome Wide Association Studies (GWAS) genotype a very large number of single nucleotide polymorphisms (SNPs), the data are often analyzed one SNP at a time. The low predictive power of single SNPs, coupled with the high significance threshold needed to correct for multiple testing, greatly decreases the power of GWAS. RESULTS: We propose a procedure in which all the SNPs are analyzed in a...

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Identifiers

PMID: 27153677
DOI: 10.1093/bioinformatics/btw128
PMCID: PMC4920127

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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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