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Stroke|March 8, 2008
Genome screen to detect linkage to intracranial aneurysm susceptibility genes: the Familial Intracranial Aneurysm (FIA) studyTatiana Foroud, Laura Sauerbeck, Robert Brown, et al.
Nature Genetics|July 8, 2024
Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and predictionTaedong Yun, Justin Cosentino, Babak Behsaz, et al.
Alcohol, Clinical & Experimental Research|April 19, 2023
Do personality characteristics predict future alcohol problems after considering current demography, substance use, and alcohol response?Marc A Schuckit, Tom L Smith, George Danko, et al.
BMC Medical Genetics|January 16, 2009
Genome screen in familial intracranial aneurysmTatiana Foroud, Laura Sauerbeck, Robert Brown, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|December 21, 2016
Genome-Wide Association Study for Anthracycline-Induced Congestive Heart FailureBryan P Schneider, Fei Shen, Laura Gardner, et al.
Genome Biology|June 29, 2026
Regulatory mechanisms driven by functional 3'-UTR variants in alcohol use disorder and related traitsAndy B Chen, Xuhong Yu, Jennifer M Rupp, et al.
Alcoholism, Clinical and Experimental Research|April 18, 2019
The Genetic Relationship Between Alcohol Consumption and Aspects of Problem Drinking in an Ascertained SampleEmma C Johnson, Celine L St Pierre, Jacquelyn L Meyers, et al.
Medrxiv : the Preprint Server for Health Sciences|April 2, 2024
Utilizing multimodal AI to improve genetic analyses of cardiovascular traitsYuchen Zhou, Justin Cosentino, Taedong Yun, et al.
Translational Psychiatry|October 23, 2019
Psychosocial moderation of polygenic risk for cannabis involvement: the role of trauma exposure and frequency of religious service attendanceJacquelyn L Meyers, Jessica E Salvatore, Fazil Aliev, et al.
Psychology of Addictive Behaviors : Journal of the Society of Psychologists in Addictive Behaviors|May 26, 2022
Alcohol use disorder, psychiatric comorbidities, marriage and divorce in a high-risk sampleNathaniel S Thomas, Sally I-Chun Kuo, Fazil Aliev, et al.
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