Article

Scalable Bayesian functional GWAS method accounting for multivariate quantitative functional annotations with applications to studying Alzheimer’s disease

2022-08-17

Abstract excerpt

Existing methods for integrating functional annotations in GWAS to fine-map and prioritize potential causal variants are either limited to using non-overlapped categorical annotations, or limited by the computation burden of modeling genome-wide variants. To overcome these limitations, we propose a scalable Bayesian functional GWAS method to account for multivariate quantitative functional annotations (BFGWAS_QUAN...

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Identifiers and source

Literature Corpus work: 69192779-df00-57cb-9a99-248051710260
DOI: 10.1101/2022.08.12.22278704

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