Large-scale genomic analyses reveal insights into pleiotropy across circulatory system diseases and nervous system disorders.
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| Title: | Large-scale genomic analyses reveal insights into pleiotropy across circulatory system diseases and nervous system disorders. |
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| Authors: | Zhang X; Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.; Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA., Lucas AM; Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA., Veturi Y; Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA., Drivas TG; Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA., Bone WP; Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.; Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA., Verma A; Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA., Chung WK; Department of Pediatrics and Medicine, Columbia University, New York, NY, 10032, USA., Crosslin D; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, 98109, USA., Denny JC; Department of Medicine, Vanderbilt University, Nashville, TN, 37235, USA.; Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, 37230, USA., Hebbring S; Center for Human Genetics, Marshfield Clinic, Marshfield, WI, 54449, USA., Jarvik GP; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, 98109, USA., Kullo I; Division of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, 55905, USA., Larson EB; Kaiser Permanente Washington Health Research Institute, Seattle, WA, 98101, USA., Rasmussen-Torvik LJ; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA., Schaid DJ; Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA., Smoller JW; Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, 02114, USA., Stanaway IB; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, 98109, USA., Wei WQ; Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, 37230, USA., Weng C; Department of Biomedical Informatics, Columbia University, New York, NY, 10032, USA., Ritchie MD; Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA. marylyn@pennmedicine.upenn.edu. |
| Source: | Nature communications [Nat Commun] 2022 Jun 14; Vol. 13 (1), pp. 3428. Date of Electronic Publication: 2022 Jun 14. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2041-1723 |
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| DOI: | 10.1038/s41467-022-30678-w |
