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

• Haihan Zhang,

  Roles Data curation, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America

  https://orcid.org/0000-0002-5902-7289

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• Kevin He,

  Roles Methodology, Supervision, Writing – review & editing

  Affiliation Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America

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• Lam C. Tsoi,

  Roles Funding acquisition, Methodology, Supervision, Writing – review & editing

  Affiliations 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

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• Xiang Zhou

  Roles Funding acquisition, Methodology, Supervision, Writing – review & editing

  * E-mail: xiang.zhou.xz735@yale.edu

  Affiliation Department of Statistics and Data Science, Yale University, New Haven, Connecticut, United States of America

  https://orcid.org/0000-0002-4331-7599

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