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Article

A model-free approach for detecting interactions in genetic association studies.

Briefings in bioinformatics - 1 Nov 2014

Li Jiahan, Dan Jun, Li Chunlei, Wu Rongling

Abstract excerpt

Over the past few decades, genome-wide association studies analyzed by efficient statistical procedures have successfully identified single-nucleotide polymorphisms (SNPs) that are associated with complex traits or human diseases. However, due to the overwhelming number of SNPs, most approaches have focused on additive genetic model without genome-wide SNP-SNP interactions. In this study, we propose an efficient...

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Identifiers

PMID: 24273216
DOI: 10.1093/bib/bbt082
PMCID: PMC4296135

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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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