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Phenome-wide Association Analysis of Substance Use Disorders in a Deeply Phenotyped Sample.

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Bibliographic Details
Title: Phenome-wide Association Analysis of Substance Use Disorders in a Deeply Phenotyped Sample.
Authors: Kember RL; Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Mental Illness Research, Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania. Electronic address: rkember@pennmedicine.upenn.edu., Hartwell EE; Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Mental Illness Research, Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania., Xu H; Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania., Rotenberg J; Mental Illness Research, Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania., Almasy L; Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania., Zhou H; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; VA Connecticut Healthcare System, West Haven, Connecticut., Gelernter J; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; VA Connecticut Healthcare System, West Haven, Connecticut; Departments of Genetics and Neuroscience, Yale University School of Medicine, New Haven, Connecticut., Kranzler HR; Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Mental Illness Research, Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania.
Source: Biological psychiatry [Biol Psychiatry] 2023 Mar 15; Vol. 93 (6), pp. 536-545. Date of Electronic Publication: 2022 Aug 18.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 0213264 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2402 (Electronic) Linking ISSN: 00063223 NLM ISO Abbreviation: Biol Psychiatry Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-2402
DOI:10.1016/j.biopsych.2022.08.010