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SECA: SNP effect concordance analysis using genome-wide association summary results.

Bioinformatics (Oxford, England) - 15 Jul 2014

Nyholt Dale R

Abstract excerpt

UNLABELLED: The genomics era provides opportunities to assess the genetic overlap across phenotypes at the measured genotype level; however, current approaches require individual-level genome-wide association (GWA) single nucleotide polymorphism (SNP) genotype data in one or both of a pair of GWA samples. To facilitate the discovery of pleiotropic effects and examine genetic overlap across two phenotypes, I have...

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PMID: 24695403
DOI: 10.1093/bioinformatics/btu171

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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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