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Article

Reducing GWAS Complexity.

Cell cycle (Georgetown, Tex.) - 1 Jan 2016

Hazelett Dennis J, Conti David V, Han Ying, Al Olama Ali Amin, Easton Doug, Eeles Rosalind A, Kote-Jarai Zsofia, Haiman Christopher A, Coetzee Gerhard A

Abstract excerpt

Genome-wide association studies (GWAS) have revealed numerous genomic 'hits' associated with complex phenotypes. In most cases these hits, along with surrogate genetic variation as measure by numerous single nucleotide polymorphisms (SNPs) that are in linkage disequilibrium, are not in coding genes making assignment of functionality or causality intractable. Here we propose that fine-mapping along with the...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 26771711
DOI: 10.1080/15384101.2015.1120928
PMCID: PMC4825730

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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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