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Article

Genome-wide association studies using a penalized moving-window regression.

Bioinformatics (Oxford, England) - 15 Dec 2017

Bao Minli, Wang Kai

Abstract excerpt

MOTIVATION: Genome-wide association studies (GWAS) have played an important role in identifying genetic variants underlying human complex traits. However, its success is hindered by weak effect at causal variants and presence of noise at non-causal variants. In an effort to overcome these difficulties, a previous study proposed a regularized regression method that penalizes on the difference of signal strength...

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PMID: 28961706
DOI: 10.1093/bioinformatics/btx522
PMCID: PMC5860090

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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