title: Meta-Analyses of Genome-Wide Association Data Hold New Promise for Addiction Genetics.
abstract: Meta-analyses of genome-wide association study data have begun to lead to promising new discoveries for behavioral and psychiatrically relevant phenotypes (e.g., schizophrenia, educational attainment). We outline how this methodology can similarly lead to novel discoveries in genomic studies of substance use disorders, and discuss challenges that will need to be overcome to accomplish this goal. We illustrate our approach with the work of the newly established Substance Use Disorders workgroup of the Psychiatric Genomics Consortium.
authors: Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri arpana@wustl.edu.
authors: Arpana
authors: A
authors: Agrawal
authors: Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana edenberg@iu.edu.
authors: Howard J
authors: HJ
authors: Edenberg
authors: Department of Psychiatry, Genetics, and Neuroscience, Yale University School of Medicine, New Haven, Connecticut.|Veterans Affairs Connecticut Healthcare Center, West Haven, Connecticut joel.gelernter@yale.edu.
authors: Joel
authors: J
authors: Gelernter
mesh_terms: D016739:Behavior, Addictive / Q000175:diagnosis / Q000453:epidemiology* / Q000235:genetics*; D016022:Case-Control Studies; D020022:Genetic Predisposition to Disease / Q000453:epidemiology* / Q000235:genetics*; D055106:Genome-Wide Association Study / Q000706:statistics & numerical data; D006801:Humans; D010641:Phenotype; D013223:Statistics as Topic