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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Last data update: Apr 23, 2024
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Records 1 - 19 (of 19 Records)
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Alcoholism[original query]>>Original Studies[Product Type]
Associations between alcohol use disorder polygenic score and remission in participants from high-risk families and Indiana biobank.
Dongbing Lai et al. Alcohol Clin Exp Res (Hoboken) 2023
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Genomic risk for post-traumatic stress disorder in families densely affected with alcohol use disorders.
Stacey Saenz de Viteri et al. Mol Psychiatry 2023
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Clinical, genomic, and neurophysiological correlates of lifetime suicide attempts among individuals with alcohol dependence.
Peter B Barr et al. medRxiv 2023
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Using machine learning to predict heavy drinking during outpatient alcohol treatment.
Roberts Walter et al. Alcoholism, clinical and experimental research 2022 46(4) 657-666
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Evaluating risk for alcohol use disorder: Polygenic risk scores and family history.
Lai Dongbing et al. Alcoholism, clinical and experimental research 2022 46(3) 374-383
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Genetic and environmental influences on the progression from alcohol use disorder to alcohol-related medical conditions.
Edwards Alexis C et al. Alcoholism, clinical and experimental research 2021
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Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes.
Ricard Benjamin Joseph et al. Journal of medical Internet research 2021 23(9) e27314
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Deep Convolutional Neural Network Regularization for Alcoholism Detection Using EEG Signals.
Mukhtar Hamid et al. Sensors (Basel, Switzerland) 2021 21(16)
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Biotechnical development of genetic addiction risk score (GARS) and selective evidence for inclusion of polymorphic allelic risk in substance use disorder (SUD).
Blum K et al. Journal of systems and integrative neuroscience 2021 6(2)
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Primary care electronic medical records can be used to predict risk and identify potentially modifiable factors for early and late death in adult onset epilepsy.
Hrabok Marianne et al. Epilepsia 2020 Dec
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Genetic testing in patients with possible foetal alcohol spectrum disorder.
Lam Zena et al. Archives of disease in childhood 2020 Nov
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Educational attainment reduces the risk of suicide attempt among individuals with and without psychiatric disorders independent of cognition: a bidirectional and multivariable Mendelian randomization study with more than 815,000 participants.
Rosoff Daniel B et al. Translational psychiatry 2020 Nov 10(1) 388
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Machine learning and natural language processing in psychotherapy research: Alliance as example use case.
Goldberg Simon B et al. Journal of counseling psychology 2020 Jul 67(4) 438-448
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Polygenic Prediction of Substance Use Disorders in Clinical and Population Samples
PB Barr et al, BioRXIV, August 2019
Using Machine Learning to Classify Individuals With Alcohol Use Disorder Based on Treatment Seeking Status.
Lee Mary R et al. EClinicalMedicine 2019 Jul 1270-78
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Using Smartphone Survey Data and Machine Learning to Identify Situational and Contextual Risk Factors for HIV Risk Behavior Among Men Who Have Sex with Men Who Are Not on PrEP.
Wray Tyler B et al. Prevention science : the official journal of the Society for Prevention Research 2019 May
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Most Current Smokers Desire Genetic Susceptibility Testing and Genetically-Efficacious Medication.
Chiu Ami et al. Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology 2018 Oct
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Pharmacogenetic effects of naltrexone in individuals of East Asian descent: Human laboratory findings from a randomized trial.
Ray Lara A et al. Alcoholism, clinical and experimental research 2017 Dec
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Polygenic Scores for Major Depressive Disorder and Risk of Alcohol Dependence.
Andersen Allan M et al. JAMA psychiatry 2017 Aug
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 23, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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