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Genetic imaging consortium for addiction medicine

Authors :
Paul M. Thompson
Gunter Schumann
Tomáš Paus
Renée S. Schluter
Dick J. Veltman
David C. Glahn
Rocío Martín-Santos
Patricia J. Conrod
Reza Momenan
Henrik Walter
Edythe D. London
Deborah A. Yurgelun-Todd
Dan J. Stein
Neda Jahanshad
Albert Batalla
Anna E Goudriaan
Angelica M. Morales
Sarah W. Feldstein Ewing
Nelly Alia-Klein
Scott Mackey
Chiang-Shan R. Li
Rajita Sinha
Murat Yücel
Elliot A. Stein
Margaret J. Wright
Godfrey D. Pearlson
Mary M. Heitzeg
Bader Chaarani
Rita Z. Goldstein
Derrek P. Hibar
Zsuzsika Sjoerds
Janna Cousijn
Lianne Schmaal
Valentina Lorenzetti
Anne Uhlmann
Kees-Jan Kan
Alain Dagher
Sylvane Desrivières
Martin P. Paulus
Michiel B. de Ruiter
Samantha J. Brooks
Nadia Solowij
Kent E. Hutchison
Ruth J. van Holst
Hugh Garavan
Susan F. Tapert
Maartje Luijten
Publication Year :
2016
Publisher :
Elsevier, 2016.

Abstract

Since 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.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........8c9fe9226323341b967b381bc4b8c620
Full Text :
https://doi.org/10.1016/bs.pbr.2015.07.026