Item-Level Genome-Wide Association Study of the Alcohol Use Disorders Identification Test in Three Population-Based Cohorts
American Journal of Psychiatry
Fecha de publicación: 14 de mayo de 2021
Autores: Travis T. Mallard, M.A., Jeanne E. Savage, Ph.D., Emma C. Johnson, Ph.D., Yuye Huang, Alexis C. Edwards, Ph.D., Jouke J. Hottenga, Ph.D., Andrew D. Grotzinger, M.A., Daniel E. Gustavson, Ph.D., Mariela V. Jennings, B.Sc., Andrey Anokhin, Ph.D., Danielle M. Dick, Ph.D., Howard J. Edenberg, Ph.D., John R. Kramer, Ph.D., Dongbing Lai, Ph.D., Jacquelyn L. Meyers, Ph.D., Ashwini K. Pandey, Ph.D., Kathryn Paige Harden, Ph.D., Michel G. Nivard, Ph.D., Eco J.C. de Geus, Ph.D., Dorret I. Boomsma, Ph.D., Arpana Agrawal, Ph.D., Lea K. Davis, Ph.D., Toni-Kim Clarke, Ph.D., Abraham A. Palmer, Ph.D., Sandra Sanchez-Roige, Ph.D
DOI: https://doi.org/10.1176/appi.ajp.2020.20091390
Background: Genome-wide association studies (GWASs) of the Alcohol Use Disorders Identification Test (AUDIT), a 10-item screen for alcohol use disorder (AUD), have elucidated novel loci for alcohol consumption and misuse. However, these studies also revealed that GWASs can be influenced by numerous biases (e.g., measurement error, selection bias), which may have led to inconsistent genetic correlations between alcohol involvement and AUD, as well as paradoxically negative genetic correlations between alcohol involvement and psychiatric disorders and/or medical conditions.
