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Article

LLR: a latent low-rank approach to colocalizing genetic risk variants in multiple GWAS.

Bioinformatics (Oxford, England) - 15 Dec 2017

Liu Jin, Wan Xiang, Wang Chaolong, Yang Chao, Zhou Xiaowei, Yang Can

Abstract excerpt

MOTIVATION: Genome-wide association studies (GWAS), which genotype millions of single nucleotide polymorphisms (SNPs) in thousands of individuals, are widely used to identify the risk SNPs underlying complex human phenotypes (quantitative traits or diseases). Most conventional statistical methods in GWAS only investigate one phenotype at a time. However, an increasing number of reports suggest the ubiquity of...

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PMID: 28961754
DOI: 10.1093/bioinformatics/btx512

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

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