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. |
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| 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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