Genetic imaging consortium for addiction medicine: From neuroimaging to genes
journal contribution
posted on 2024-11-14, 20:15 authored by Scott Mackey, Kees-Jan Kan, Bader Chaarani, Nelly Alia-Klein, Albert Batalla, Samantha Brooks, Janna Cousijn, Alain Dagher, Michiel De Ruiter, Sylvane Desrivieres, Sarah W Feldstein Ewing, Rita Goldstein, Anna Goudriaan, Mary M Heitzeg, Kent Hutchison, Chiang-Shan R Li, Edythe D London, Valentina Lorenzetti, Maartje Luijten, Rocio Martin-Santos, Angelica M Morales, Martin P Paulus, Tomas Paus, Godfrey Pearlson, Renee Schluter, Reza Momenan, Lianne Schmaal, Gunter Schumann, Rajita Sinha, Zsuzsika Sjoerds, Dan J Stein, Elliot A Stein, Nadia SolowijNadia Solowij, Susan Tapert, Anne Uhlmann, Dick Veltman, Ruth Van Holst, Hendrik Walter, Margaret J Wright, Murat Yucel, Deborah Yurgelun-Todd, Derrek P Hibar, Neda Jahanshad, Paul M Thompson, David Glahn, Hugh Garavan, Patricia ConrodSince the sample size of a typical neuroimaging study lacks sufficient statistical power to explore unknown genomic associations with brain phenotypes, several international genetic imaging consortia have been organized in recent years to pool data across sites. The challenges and achievements of these consortia are considered here with the goal of leveraging these resources to study addiction. The authors of this review have joined together to form an Addiction working group within the framework of the ENIGMA project, a meta-analytic approach to multisite genetic imaging data. Collectively, the Addiction working group possesses neuroimaging and genomic data obtained from over 10,000 subjects. The deadline for contributing data to the first round of analyses occurred at the beginning of May 2015. The studies performed on this data should significantly impact our understanding of the genetic and neurobiological basis of addiction.