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Predicting treatment-seeking status for alcohol use disorder using polygenic scores and machine learning in a deeply-phenotyped sample.

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Bibliographic Details
Title:	Predicting treatment-seeking status for alcohol use disorder using polygenic scores and machine learning in a deeply-phenotyped sample.
Authors:	Jinwala Z; Crescenz VA Medical Center, Philadelphia, PA 19104, United States; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, United States., Green R; Medical University of South Carolina, Charleston, SC 29425, United States., Khan Y; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, United States., Gelernter J; West Haven VA Medical Center, West Haven, CT 06516, United States; Yale University, New Haven, CT 06511, United States., Kember RL; Crescenz VA Medical Center, Philadelphia, PA 19104, United States; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, United States., Hartwell EE; Crescenz VA Medical Center, Philadelphia, PA 19104, United States; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, United States. Electronic address: Emily.hartwell@va.gov.
Source:	Drug and alcohol dependence [Drug Alcohol Depend] 2025 Sep 01; Vol. 274, pp. 112797. Date of Electronic Publication: 2025 Jul 16.
Publication Type:	Journal Article
Journal Info:	Publisher: Elsevier Country of Publication: Ireland NLM ID: 7513587 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0046 (Electronic) Linking ISSN: 03768716 NLM ISO Abbreviation: Drug Alcohol Depend Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1879-0046
DOI:	10.1016/j.drugalcdep.2025.112797