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Article

An Empirical Bayes Mixture Model for Effect Size Distributions in Genome-Wide Association Studies.

PLoS genetics - 1 Dec 2015

Thompson Wesley K, Wang Yunpeng, Schork Andrew J, Witoelar Aree, Zuber Verena, Xu Shujing, Werge Thomas, Holland Dominic, Andreassen Ole A, Dale Anders M

Abstract excerpt

Characterizing the distribution of effects from genome-wide genotyping data is crucial for understanding important aspects of the genetic architecture of complex traits, such as number or proportion of non-null loci, average proportion of phenotypic variance explained per non-null effect, power for discovery, and polygenic risk prediction. To this end, previous work has used effect-size models based on various...

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PMID: 26714184
DOI: 10.1371/journal.pgen.1005717
PMCID: PMC5456456

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

Source receipt: pubmed, retrieved 7 Sept 2026.

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