Predicting treatment-seeking status for alcohol use disorder using polygenic scores and machine learning in a deeply-phenotyped sample.
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| Title: | Predicting treatment-seeking status for alcohol use disorder using polygenic scores and machine learning in a deeply-phenotyped sample. |
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| 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40695097 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting treatment-seeking status for alcohol use disorder using polygenic scores and machine learning in a deeply-phenotyped sample. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Jinwala+Z%22">Jinwala Z</searchLink>; Crescenz VA Medical Center, Philadelphia, PA 19104, United States; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, United States.<br /><searchLink fieldCode="AU" term="%22Green+R%22">Green R</searchLink>; Medical University of South Carolina, Charleston, SC 29425, United States.<br /><searchLink fieldCode="AU" term="%22Khan+Y%22">Khan Y</searchLink>; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, United States.<br /><searchLink fieldCode="AU" term="%22Gelernter+J%22">Gelernter J</searchLink>; West Haven VA Medical Center, West Haven, CT 06516, United States; Yale University, New Haven, CT 06511, United States.<br /><searchLink fieldCode="AU" term="%22Kember+RL%22">Kember RL</searchLink>; Crescenz VA Medical Center, Philadelphia, PA 19104, United States; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, United States.<br /><searchLink fieldCode="AU" term="%22Hartwell+EE%22">Hartwell EE</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%227513587%22">Drug and alcohol dependence</searchLink> [Drug Alcohol Depend] 2025 Sep 01; Vol. 274, pp. 112797. <i>Date of Electronic Publication: </i>2025 Jul 16. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Ireland <i>NLM ID: </i>7513587 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-0046 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203768716%22">03768716 </searchLink><i>NLM ISO Abbreviation: </i>Drug Alcohol Depend <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40695097 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.drugalcdep.2025.112797 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 112797 Titles: – TitleFull: Predicting treatment-seeking status for alcohol use disorder using polygenic scores and machine learning in a deeply-phenotyped sample. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jinwala Z – PersonEntity: Name: NameFull: Green R – PersonEntity: Name: NameFull: Khan Y – PersonEntity: Name: NameFull: Gelernter J – PersonEntity: Name: NameFull: Kember RL – PersonEntity: Name: NameFull: Hartwell EE IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2025 Sep 01 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1879-0046 Numbering: – Type: volume Value: 274 Titles: – TitleFull: Drug and alcohol dependence Type: main |
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