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Article

Multi-locus Test and Correction for Confounding Effects in Genome-Wide Association Studies.

The international journal of biostatistics - 1 Nov 2016

Chen Donglai, Liu Chuanhai, Xie Jun

Abstract excerpt

Genome-wide association studies (GWAS) examine a large number of genetic variants, e. g., single nucleotide polymorphisms (SNP), and associate them with a disease of interest. Traditional statistical methods for GWASs can produce spurious associations, due to limited information from individual SNPs and confounding effects. This paper develops two statistical methods to enhance data analysis of GWASs. The first...

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Identifiers

PMID: 27232635
DOI: 10.1515/ijb-2015-0091
PMCID: PMC5124542

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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