Genetic imaging consortium for addiction medicine: From neuroimaging to genes

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 Z. Goldstein; Anna E.  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; Renée  Schluter; Reza  Momenan; Lianne Schmaal; Gunter Schumann; Rajita  Sinha; Zsuzsika  Sjoerds; Dan J. Stein; Elliot A.   Stein; Nadia Solowij; Susan  Tapert; Anne  Uhlmann; Dick J. Veltman; Ruth  van Holst; Henrik Walter; Margaret J. Wright; Murat Yücel; Deborah A. Yurgelun-Todd; Derrek P. Hibar; Neda Jahanshad; Paul M. Thompson; David C. Glahn; Hugh Garavan; Patricia Conrod

doi:10.1016/bs.pbr.2015.07.026

Genetic imaging consortium for addiction medicine: From neuroimaging to genes

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 Z. Goldstein
, Anna E. 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, Renée Schluter , Reza Momenan , Lianne Schmaal, Gunter Schumann, Rajita Sinha , Zsuzsika Sjoerds , Dan J. Stein, Elliot A. Stein, Nadia Solowij, Susan Tapert , Anne Uhlmann , Dick J. Veltman, Ruth van Holst , Henrik Walter, Margaret J. Wright, Murat Yücel, Deborah A. Yurgelun-Todd, Derrek P. Hibar, Neda Jahanshad, Paul M. Thompson, David C. Glahn, Hugh Garavan, Patricia Conrod

Icahn School of Medicine at Mount Sinai
University Hospital Clínic de Barcelona
Radboud University Medical Center
University of Cape Town
McGill University
Department of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
Oregon Health & Science University
VU Amsterdam
Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
University of Colorado
Yale University
University of California, Los Angeles
Monash University
Radboud University Nijmegen
VA San Diego Healthcare System and Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
Laureate Institute for Brain Research
Section on Brain Electrophysiology and Imaging, Institute on Alcohol Abuse and Alcoholism, Bethesda, USA
Max Planck Institute for Human Cognitive and Brain Sciences
Intramural Research Program—Neuroimaging Research Branch, National Institute on Drug Abuse, Baltimore, MD, USA
University of Wollongong
QIMR Berghofer Medical Research Institute
University of Utah
Department of Neurology, Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
Univ Vermont, Burlington
University of Toronto
School of Psychology
University of Nottingham
Child Mind Institute
Learning Disability Psychiatry Department
The Department of Child and Adolescent Psychiatry and Psychotherapy
Charité University of Medicine Berlin
Physikalisch-Technische Bundesanstalt
Institute for Radiology, CCM
USC University of Southern California
Trinity College Dublin

Research output: Contribution to journal › Literature review › peer-review

25 Citations (Scopus)

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.

Original language	English
Pages (from-to)	203–223
Journal	Progress in Brain Research
Volume	224
DOIs	https://doi.org/10.1016/bs.pbr.2015.07.026
Publication status	E-pub ahead of print - 4 Nov 2015

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10.1016/bs.pbr.2015.07.026

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Mackey, S., Kan, K. J., Chaarani, B., Alia-Klein, N., Batalla, A., Brooks, S., Cousijn , J., Dagher, A., de Ruiter , M., Desrivieres, S., Feldstein Ewing , S. W., Goldstein, R. Z., Goudriaan , A. E., Heitzeg , M. M., Hutchison , K., Li , C.-S. R., London , E. D., Lorenzetti, V., Luijten , M., ... Conrod, P. (2015). Genetic imaging consortium for addiction medicine: From neuroimaging to genes. Progress in Brain Research, 224, 203–223. Advance online publication. https://doi.org/10.1016/bs.pbr.2015.07.026

@article{78ce5e5c4def49e2a5645e71f97c9f46,

title = "Genetic imaging consortium for addiction medicine: From neuroimaging to genes",

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.",

author = "Scott Mackey and Kan, \{Kees Jan\} and Bader Chaarani and Nelly Alia-Klein and Albert Batalla and Samantha Brooks and Janna Cousijn and Alain Dagher and \{de Ruiter\}, Michiel and Sylvane Desrivieres and \{Feldstein Ewing\}, \{Sarah W.\} and Goldstein, \{Rita Z.\} and Goudriaan, \{Anna E.\} and Heitzeg, \{Mary M.\} and Kent Hutchison and Li, \{Chiang-Shan R.\} and London, \{Edythe D.\} and Valentina Lorenzetti and Maartje Luijten and Rocio Martin-Santos and Morales, \{Angelica M.\} and Paulus, \{Martin P.\} and Tomas Paus and Godfrey Pearlson and Ren{\'e}e Schluter and Reza Momenan and Lianne Schmaal and Gunter Schumann and Rajita Sinha and Zsuzsika Sjoerds and Stein, \{Dan J.\} and Stein, \{Elliot A.\} and Nadia Solowij and Susan Tapert and Anne Uhlmann and Veltman, \{Dick J.\} and \{van Holst\}, Ruth and Henrik Walter and Wright, \{Margaret J.\} and Murat Y{\"u}cel and Yurgelun-Todd, \{Deborah A.\} and Hibar, \{Derrek P.\} and Neda Jahanshad and Thompson, \{Paul M.\} and Glahn, \{David C.\} and Hugh Garavan and Patricia Conrod",

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doi = "10.1016/bs.pbr.2015.07.026",

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Mackey, S, Kan, KJ, Chaarani, B, Alia-Klein, N, Batalla, A, Brooks, S, Cousijn , J, Dagher, A, de Ruiter , M, Desrivieres, S, Feldstein Ewing , SW, Goldstein, RZ, Goudriaan , AE, Heitzeg , MM, Hutchison , K, Li , C-SR, London , ED, Lorenzetti, V, Luijten , M, Martin-Santos, R, Morales, AM, Paulus , MP, Paus, T, Pearlson, G, Schluter , R, Momenan , R, Schmaal, L, Schumann, G, Sinha , R, Sjoerds , Z, Stein, DJ, Stein, EA, Solowij, N, Tapert , S, Uhlmann , A, Veltman, DJ, van Holst , R, Walter, H, Wright, MJ, Yücel, M, Yurgelun-Todd, DA, Hibar, DP, Jahanshad, N, Thompson, PM, Glahn, DC, Garavan, H & Conrod, P 2015, 'Genetic imaging consortium for addiction medicine: From neuroimaging to genes', Progress in Brain Research, vol. 224, pp. 203–223. https://doi.org/10.1016/bs.pbr.2015.07.026

TY - JOUR

T1 - Genetic imaging consortium for addiction medicine: From neuroimaging to genes

AU - Mackey, Scott

AU - Kan, Kees Jan

AU - Chaarani, Bader

AU - Alia-Klein, Nelly

AU - Batalla, Albert

AU - Brooks, Samantha

AU - Cousijn , Janna

AU - Dagher, Alain

AU - de Ruiter , Michiel

AU - Desrivieres, Sylvane

AU - Feldstein Ewing , Sarah W.

AU - Goldstein, Rita Z.

AU - Goudriaan , Anna E.

AU - Heitzeg , Mary M.

AU - Hutchison , Kent

AU - Li , Chiang-Shan R.

AU - London , Edythe D.

AU - Lorenzetti, Valentina

AU - Luijten , Maartje

AU - Martin-Santos, Rocio

AU - Morales, Angelica M.

AU - Paulus , Martin P.

AU - Paus, Tomas

AU - Pearlson, Godfrey

AU - Schluter , Renée

AU - Momenan , Reza

AU - Schmaal, Lianne

AU - Schumann, Gunter

AU - Sinha , Rajita

AU - Sjoerds , Zsuzsika

AU - Stein, Dan J.

AU - Stein, Elliot A.

AU - Solowij, Nadia

AU - Tapert , Susan

AU - Uhlmann , Anne

AU - Veltman, Dick J.

AU - van Holst , Ruth

AU - Walter, Henrik

AU - Wright, Margaret J.

AU - Yücel, Murat

AU - Yurgelun-Todd, Deborah A.

AU - Hibar, Derrek P.

AU - Jahanshad, Neda

AU - Thompson, Paul M.

AU - Glahn, David C.

AU - Garavan, Hugh

AU - Conrod, Patricia

PY - 2015/11/4

Y1 - 2015/11/4

N2 - 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.

AB - 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.

U2 - 10.1016/bs.pbr.2015.07.026

DO - 10.1016/bs.pbr.2015.07.026

M3 - Literature review

SN - 0079-6123

VL - 224

SP - 203

EP - 223

JO - Progress in Brain Research

JF - Progress in Brain Research

ER -

Genetic imaging consortium for addiction medicine: From neuroimaging to genes

Abstract

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