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Article

A fast and efficient colocalization algorithm for identifying shared genetic risk factors across multiple traits.

Nature communications - 3 Feb 2021

Foley Christopher N, Staley James R, Breen Philip G, Sun Benjamin B, Kirk Paul D W, Burgess Stephen, Howson Joanna M M

Abstract excerpt

Genome-wide association studies (GWAS) have identified thousands of genomic regions affecting complex diseases. The next challenge is to elucidate the causal genes and mechanisms involved. One approach is to use statistical colocalization to assess shared genetic aetiology across multiple related traits (e.g. molecular traits, metabolic pathways and complex diseases) to identify causal pathways, prioritize causal...

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Identifiers

PMID: 33536417
DOI: 10.1038/s41467-020-20885-8
PMCID: PMC7858636

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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