MESuSiE enables scalable and powerful multi-ancestry fine-mapping of causal variants in genome-wide association studies

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2024 English Publisher:Springer Science and Business Media LLCJournal:Nature Genetics, volume 56, pages 170-179 (issn: 1061-4036, eissn: 1546-1718,

Copyright policy )Funded by:NIH | Statistical Methods for M..., NIH | DMS/NIGMS 2: Advanced Sta..., WT | unidentified

Authors: Gao, Boran; Zhou, Xiang;

doi: 10.1038/s41588-023-01604-7 , 10.5281/zenodo.8411003 , 10.5281/zenodo.8411004

pmid: 38168930

pmc: PMC11849347

MESuSiE enables scalable and powerful multi-ancestry fine-mapping of causal variants in genome-wide association studies

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Abstract

The MESuSiE (Multiple Ancestry Sum of the Single Effect Model) software offers a comprehensive approach to multi-ancestry fine-mapping. It adeptly considers both shared and ancestry-specific causal variants across various ancestries. By properly addressing the diverse linkage disequilibrium (LD) patterns seen in different ancestries, it ensures accuracy. MESuSiE utilizes GWAS marginal summary statistics for input and is built upon the scalable variational inference algorithm of SuSiE, originally designed for ancestry-specific fine-mapping. This repository encompasses not just the MESuSiE software but also code for simulations and real data analyses, along with their results. MESuSiE is available at software, and the guideline is available at tutorial.

Related Organizations

University of Michigan–Flint
United States

Keywords

European People, MESuSiE software, simulation and analysis code, simulation and real data analysis result, Humans, Black People, Genomics, Polymorphism, Single Nucleotide, Algorithms, Linkage Disequilibrium, Genome-Wide Association Study

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