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High Polygenic Risk Scores Are Associated With Early Age of Onset of Alcohol Use Disorder in Adolescents and Young Adults at Risk.
Nurnberger, John I; Wang, Yumin; Zang, Yong; Lai, Dongbing; Wetherill, Leah; Edenberg, Howard J; Aliev, Fazil; Plawecki, Martin H; Chorlian, David; Chan, Grace; Bucholz, Kathleen; Bauer, Lance; Kamarajan, Chella; Salvatore, Jessica E; Kapoor, Manav; Hesselbrock, Victor; Dick, Danielle; Bierut, Laura; McCutcheon, Vivia; Meyers, Jacquelyn L; Porjesz, Bernice; Kramer, John; Kuperman, Samuel; Kinreich, Sivan; Anokhin, Andrey P.
Afiliação
  • Nurnberger JI; Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana.
  • Wang Y; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana.
  • Zang Y; Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, Indiana.
  • Lai D; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana.
  • Wetherill L; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana.
  • Edenberg HJ; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana.
  • Aliev F; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana.
  • Plawecki MH; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana.
  • Chorlian D; Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana.
  • Chan G; Department of Psychology, Virginia Commonwealth University, Richmond, Virginia.
  • Bucholz K; Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana.
  • Bauer L; Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry, State University of New York Downstate Health Sciences University, Brooklyn, New York.
  • Kamarajan C; Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa.
  • Salvatore JE; Department of Psychiatry, University of Connecticut, Farmington, Connecticut.
  • Kapoor M; Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri.
  • Hesselbrock V; Department of Psychiatry, University of Connecticut, Farmington, Connecticut.
  • Dick D; Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry, State University of New York Downstate Health Sciences University, Brooklyn, New York.
  • Bierut L; Department of Psychology, Virginia Commonwealth University, Richmond, Virginia.
  • McCutcheon V; Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia.
  • Meyers JL; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.
  • Porjesz B; Department of Psychiatry, University of Connecticut, Farmington, Connecticut.
  • Kramer J; Department of Psychology, Virginia Commonwealth University, Richmond, Virginia.
  • Kuperman S; Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri.
  • Kinreich S; Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri.
  • Anokhin AP; Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry, State University of New York Downstate Health Sciences University, Brooklyn, New York.
Biol Psychiatry Glob Open Sci ; 2(4): 379-388, 2022 Oct.
Article em En | MEDLINE | ID: mdl-36324664
Background: Genome-wide association studies have been conducted in alcohol use disorder (AUD), and they permit the use of polygenic risk scores (PRSs), in combination with clinical variables, to predict the onset of AUD in vulnerable populations. Methods: A total of 2794 adolescent/young adult subjects from the Collaborative Study on the Genetics of Alcoholism were followed, with clinical assessments every 2 years. Subjects were genotyped using a genome-wide chip. Separate PRS analyses were performed for subjects of European ancestry and African ancestry. Age of onset of DSM-5 AUD was evaluated using the Cox proportional hazard model. Predictive power was assessed using receiver operating characteristic curves and by analysis of the distribution of PRS. Results: European ancestry subjects with higher than median PRSs were at greater risk for onset of AUD than subjects with lower than median PRSs (p = 3 × 10-7). Area under the curve for the receiver operating characteristic analysis peaked at 0.88 to 0.95 using PRS plus sex, family history, comorbid disorders, age at first drink, and peer drinking; predictive power was primarily driven by clinical variables. In this high-risk sample, European ancestry subjects with a PRS score in the highest quartile showed a 72% risk for developing AUD and a 35% risk of developing severe AUD (compared with risks of 54% and 16%, respectively, in the lowest quartile). Conclusions: Predictive power for PRSs in the extremes of the distribution suggests that these may have future clinical utility. Uncertainties in interpretation at the individual level still preclude current application.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Biol Psychiatry Glob Open Sci Ano de publicação: 2022 Tipo de documento: Article País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Biol Psychiatry Glob Open Sci Ano de publicação: 2022 Tipo de documento: Article País de publicação: Estados Unidos