Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits - Zhou, Hang; Sealock, Julia M.; Sanchez-Roige, Sandra; Clarke, Toni-Kim; Levey, Daniel F.; Cheng, Zhongshan; Li, Boyang; Polimanti, Renato; Kember, Rachel L.; Smith, Rachel Vickers; Thygesen, Johan H.; Morgan, Marsha Y.; et al. (NATURE NEUROSCIENCE, 2020)
Keywords: 45/43; 631/208/205/2138; 692/699/476/5; Alcohol Drinking - genetics; Alcohol use; Alcoholism; Alcoholism - genetics; Alcohols; Animal Genetics and Genomics; Behavioral Sciences; Biobanks; Biological Techniques; Biology; Biomedical and Life Sciences; Biomedicine; Cognitive ability; Complications and side effects; Consortia; Datasets as Topic; Diagnosis; Drinking behavior; Drug use; Female; Genetic aspects; Genetic Predisposition to Disease; Genetic relationship; Genome-wide association studies; Genome-Wide Association Study; Genomes; Heritability; Humans; Liability; Loci; Male; Mental disorders; Mental illness; Meta-analysis; Multifactorial Inheritance; Neurobiology; Neurosciences; Phenotypes; Polygenic inheritance; Risk analysis; Risk factors; Risk taking; Substance use; Systematic review; United States