A unifying framework for joint trait analysis under a non-infinitesimal model.

doi:10.1093/bioinformatics/bty254

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Article

A unifying framework for joint trait analysis under a non-infinitesimal model.

Bioinformatics (Oxford, England) - 1 Jul 2018

Johnson Ruth, Shi Huwenbo, Pasaniuc Bogdan, Sankararaman Sriram

Abstract excerpt

Motivation: A large proportion of risk regions identified by genome-wide association studies (GWAS) are shared across multiple diseases and traits. Understanding whether this clustering is due to sharing of causal variants or chance colocalization can provide insights into shared etiology of complex traits and diseases. Results: In this work, we propose a flexible, unifying framework to quantify the overlap...

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Identifiers

PMID: 29949958
DOI: 10.1093/bioinformatics/bty254
PMCID: PMC6022541

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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.