Prioritization of causal genes from genome-wide association studies by Bayesian data integration across loci.
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| Title: | Prioritization of causal genes from genome-wide association studies by Bayesian data integration across loci. |
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| Authors: | Mousavi Z; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America.; Institute for Computational Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America., Arvanitis M; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America., Duong T; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America., Brody JA; Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States of America., Battle A; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America.; Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, Maryland, United States of America., Sotoodehnia N; Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States of America., Shojaie A; Department of Biostatistics, University of Washington, Seattle, Washington, United States of America., Arking DE; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America., Bader JS; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America.; Institute for Computational Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America.; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2025 Jan 07; Vol. 21 (1), pp. e1012725. Date of Electronic Publication: 2025 Jan 07 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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