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mFABIO: An integrative multi-tissue TWAS fine-mapping approach to prioritize potentially causal genes and tissues underlying binary traits.

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Title: mFABIO: An integrative multi-tissue TWAS fine-mapping approach to prioritize potentially causal genes and tissues underlying binary traits.
Authors: Zhang H; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America., He K; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America., Tsoi LC; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America.; Department of Dermatology, University of Michigan Michigan Medicine, Ann Arbor, Michigan, United States of America.; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America., Zhou X; Department of Statistics and Data Science, Yale University, New Haven, Connecticut, United States of America.
Source: PLoS genetics [PLoS Genet] 2026 May 27; Vol. 22 (5), pp. e1012157. Date of Electronic Publication: 2026 May 27 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101239074 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7404 (Electronic) Linking ISSN: 15537390 NLM ISO Abbreviation: PLoS Genet Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Zhang+H%22">Zhang H</searchLink>; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America.<br /><searchLink fieldCode="AU" term="%22He+K%22">He K</searchLink>; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America.<br /><searchLink fieldCode="AU" term="%22Tsoi+LC%22">Tsoi LC</searchLink>; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America.; Department of Dermatology, University of Michigan Michigan Medicine, Ann Arbor, Michigan, United States of America.; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America.<br /><searchLink fieldCode="AU" term="%22Zhou+X%22">Zhou X</searchLink>; Department of Statistics and Data Science, Yale University, New Haven, Connecticut, United States of America.
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        Value: 10.1371/journal.pgen.1012157
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        Text: English
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              Text: 2026 May 27
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