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Article Dans Une Revue NeuroImage Année : 2015

ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide

Paul D Thompson (1) , Ole J Andreassen (2, 3) , Alejandro D Arias-Vasquez (4, 5) , Carrie D Bearden (5) , Premika S Boedhoe (6) , Rachel D Brouwer (7) , Randy L Buckner (8) , Jan J Buitelaar (9) , Kazima M Bulayeva (10) , Dara D Cannon (11) , Ronald L Cohen (12) , Patricia J Conrod (13) , Anders J Dale (14) , Ian J Deary (15) , Emily D Dennis (1) , Marcel D de Reus (16) , Sylvane D Desrivieres (13) , Danai Dima (17) , Gary D Donohoe (11, 18) , Simon D Fisher (9) , Jean-Paul J Fouche (19) , Clyde D Francks (20, 21) , Sophia D Frangou (22) , Barbara D Franke (9) , Habib D Ganjgahi (23) , Hugh G Garavan (24) , David D Glahn (25) , Hans J Grabe (26) , Tulio D Guadalupe (27, 20) , Boris A Gutman (28, 29) , Ryota H Hashimoto (30) , Derrek D Hibar (31) , Dominic J Holland (14) , Martine D Hoogman (9) , Hilleke D Hulshoff Pol (32) , Norbert H Hosten (33) , Neda J Jahanshad (31) , Sinead M Kelly (34) , Peter P Kochunov (35) , William W Kremen (14) , Phil L Lee (36) , Scott D Mackey (24) , Nicholas M Martin , Bernard M Mazoyer (37) , Colm M Mcdonald (38) , Sarah M Medland (39, 36) , Rajendra M Morey (40) , Thomas E Nichols (41, 42) , Tomas P Paus (43) , Zdenka P Pausova (44) , Lianne Schmaal (45) , Gunter D Schumann (46) , Li L Shen (47) , Sanjay M Sisodiya (48) , Dirk J Smit (49) , Jordan J Smoller (50) , Dan J Stein (19) , Jason J Stein (31) , Roberto Toro (51) , Jessica J Turner (52) , Martijn D van den Heuvel (7) , Odile D van den Heuvel (53) , Theo M van Erp (54) , Daan D van Rooij (9) , Dick J Veltman (45) , Henrik W Walter (55, 56) , Yalin W Wang (57) , Joanna J Wardlaw (15) , Christopher D Whelan (31) , Margaret J Wright Br (58) , Jieping J Ye (59)
1 USC - University of Southern California
2 Division of Mental Health and Addiction
3 KG Jebsen Centre for Psychosis Research
4 Department of Human Genetics
5 Department of Psychiatry
6 Department of Anatomy & Neurosciences, VU University Medical Center, Amsterdam, The Netherlands
7 Brain Center Rudolf Magnus, Department of Psychiatry, UMC Utrecht, Utrecht 3584 CX, The Netherlands
8 Department of Psychiatry [Boston]
9 Donders Center for Cognitive Neuroimaging
10 N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119333, Russia
11 Human Genetics Branch
12 UF - University of Florida [Gainesville]
13 Institute of Psychiatry, Psychology & Neuroscience, King's College London
14 UC San Diego - University of California [San Diego]
15 Edin. - University of Edinburgh
16 Brain Center Rudolf Magnus, Department of Psychiatry, UMC Utrecht, Utrecht 3584 CX, The Netherlands
17 Department of Hematology
18 Department of Psychiatry
19 Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
20 Language and Genetics Department [Nijmegen]
21 Donders Institute for Brain, Cognition and Behaviour
22 MSSM - Icahn School of Medicine at Mount Sinai [New York]
23 SBUMS - Shahid Beheshti University of Medical Sciences [Tehran]
24 University of Vermont [Burlington]
25 Dpt of Psychiatry [New Haven]
26 Department of Psychiatry and Psychotherapy
27 IMPRS - International Max Planck Research School for Language Sciences
28 Department of Mathematics [UCLA]
29 LONI - Laboratory of Neuro Imaging [Los Angeles]
30 Molecular Research Center for Children’s Mental Development, United Graduate School of Child Development,
31 David Geffen School of Medicine [Los Angeles]
32 University Medical Center [Utrecht]
33 Greifswald University Hospital
34 MetaCase [Jyväskylä]
35 Department of Psychiatry
36 BROAD INSTITUTE - Broad Institute of MIT and Harvard
37 GIN - UMR 5296 - Groupe d'Imagerie Neurofonctionnelle
38 Department of Life Sciences
39 Queensland Institute of Medical Research
40 Duke University [Durham]
41 WMG - Warwick Manufacturing Group [Coventry]
42 Department of Statistics [Warwick]
43 MNI - McConnell Brain Imaging Centre
44 Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Canada
45 Department of Psychiatry
46 Göttingen Zentrum Geowissenschaften
47 Indiana University School of Medicine
48 Department of Clinical and Experimental Epilepsy
49 Shell (Netherlands)
50 Massachusetts General Hospital [Boston]
51 GHFC (UMR_3571 / U-Pasteur_1) - Génétique humaine et fonctions cognitives - Human Genetics and Cognitive Functions
52 University of York [York, UK]
53 Department of Anatomy & Neurosciences, VU University Medical Center, Amsterdam, The Netherlands
54 Department of Psychiatry and Human Behavior [Irvine]
55 Charité - UniversitätsMedizin = Charité - University Hospital [Berlin]
56 Berlin School of Mind and Brain [Berlin]
57 ASU - Arizona State University [Tempe]
58 Queensland Brain Institute, University of Queensland, Brisbane 4072, Australia
59 Chinese Center for Disease Control and Prevention
Nicholas M Martin
  • Fonction : Auteur
Dirk J Smit
  • Fonction : Auteur

Résumé

In this review, we discuss recent work by the ENIGMA Consortium (http://enigma.ini.usc.edu) – a global alliance of over 500 scientists spread across 200 institutions in 35 countries collectively analyzing brain imaging, clinical, and genetic data. Initially formed to detect genetic influences on brain measures, ENIGMA has grown to over 30 working groups studying 12 major brain diseases by pooling and comparing brain data. In some of the largest neuroimaging studies to date – of schizophrenia and major depression – ENIGMA has found replicable disease effects on the brain that are consistent worldwide, as well as factors that modulate disease effects. In partnership with other consortia including ADNI, CHARGE, IMAGEN and others1, ENIGMA's genomic screens – now numbering over 30,000 MRI scans – have revealed at least 8 genetic loci that affect brain volumes. Downstream of gene findings, ENIGMA has revealed how these individual variants – and genetic variants in general – may affect both the brain and risk for a range of diseases. The ENIGMA consortium is discovering factors that consistently affect brain structure and function that will serve as future predictors linking individual brain scans and genomic data. It is generating vast pools of normative data on brain measures – from tens of thousands of people – that may help detect deviations from normal development or aging in specific groups of subjects. We discuss challenges and opportunities in applying these predictors to individual subjects and new cohorts, as well as lessons we have learned in ENIGMA's efforts so far.

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Neurosciences
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hal-01380998 , version 1 (17-10-2016)

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Paul D Thompson, Ole J Andreassen, Alejandro D Arias-Vasquez, Carrie D Bearden, Premika S Boedhoe, et al.. ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide. NeuroImage, 2015, ⟨10.1016/j.neuroimage.2015.11.057⟩. ⟨hal-01380998⟩
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