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GWAlpha: genome-wide estimation of additive effects (alpha) based on trait quantile distribution from pool-sequencing experiments.

Bioinformatics (Oxford, England) - 15 Apr 2017

Fournier-Level Alexandre, Robin Charles, Balding David J

Abstract excerpt

Motivation: Sequencing pools of individuals (Pool-Seq) is a cost-effective way to gain insight into the genetics of complex traits, but as yet no parametric method has been developed to both test for genetic effects and estimate their magnitude. Here, we propose GWAlpha, a flexible method to obtain parametric estimates of genetic effects genome-wide from Pool-Seq experiments. Results: We showed that GWAlpha...

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PMID: 28003266
DOI: 10.1093/bioinformatics/btw805

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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