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Article

bGWAS: an R package to perform Bayesian genome wide association studies.

Bioinformatics (Oxford, England) - 1 Aug 2020

Mounier Ninon, Kutalik Zoltán

Abstract excerpt

SUMMARY: Increasing sample size is not the only strategy to improve discovery in Genome Wide Association Studies (GWASs) and we propose here an approach that leverages published studies of related traits to improve inference. Our Bayesian GWAS method derives informative prior effects by leveraging GWASs of related risk factors and their causal effect estimates on the focal trait using multivariable Mendelian...

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PMID: 32470106
DOI: 10.1093/bioinformatics/btaa549
PMCID: PMC7520046

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