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

Paul M. Thompson(University of Southern California), Ole A. Andreassen(Oslo University Hospital), Alejandro Arias Vásquez(Radboud University Nijmegen), Carrie E. Bearden(University of California, Los Angeles), Premika S.W. Boedhoe(University Medical Center), Rachel M. Brouwer(University Medical Center Utrecht), Randy L. Buckner(Massachusetts General Hospital), Jan K. Buitelaar(Radboud University Nijmegen), Kazima Bulayeva(Vavilov Institute of General Genetics), Dara M. Cannon(Ollscoil na Gaillimhe – University of Galway), Ronald A. Cohen(University of Florida), Patricia Conrod(King's College London), Anders M. Dale(University of California San Diego), Ian J. Deary(Edinburgh College), Emily L. Dennis(University of Southern California), Marcel A. de Reus(University Medical Center Utrecht), Sylvane Desrivières(King's College London), Danai Dima(Icahn School of Medicine at Mount Sinai), Gary Donohoe(National University of Ireland), Simon E. Fisher(Radboud University Nijmegen), Jean‐Paul Fouché(University of Cape Town), Clyde Francks(Radboud University Nijmegen), Sophia Frangou(Icahn School of Medicine at Mount Sinai), Barbara Franke(Radboud University Nijmegen), Habib Ganjgahi(University of Warwick), Hugh Garavan(University of Vermont), David C. Glahn(Yale University), Hans J. Grabe(Universitätsmedizin Greifswald), Tulio Guadalupe(Max Planck Institute for Psycholinguistics), Boris A. Gutman(University of Southern California), Ryota Hashimoto(The University of Osaka), Derrek P. Hibar(University of Southern California), Dominic Holland(University of California San Diego), Martine Hoogman(Radboud University Nijmegen), Hilleke E. Hulshoff Pol(Heidelberg University), Norbert Hosten(Universitätsmedizin Greifswald), Neda Jahanshad(University of Southern California), Sinéad Kelly(University of Southern California), Peter Kochunov(University of Maryland, Baltimore), William S. Kremen(University of California San Diego), Phil H. Lee(Broad Institute), Scott Mackey(University of Vermont), Nicholas G. Martin(Harvard University), Bernard Mazoyer(Centre National de la Recherche Scientifique), Colm McDonald(Ollscoil na Gaillimhe – University of Galway), Sarah E. Medland(Broad Institute), Rajendra A. Morey(Duke University), Thomas E. Nichols(University of Warwick), Tomaš Paus(Baycrest Hospital), Zdenka Pausová(University of Toronto), Lianne Schmaal(Amsterdam Neuroscience), Günter Schumann(King's College London), Li Shen(Indiana University School of Medicine), Sanjay M. Sisodiya(Epilepsy Research UK), Dirk J. A. Smit(Amsterdam Neuroscience), Jordan W. Smoller(Massachusetts General Hospital), Dan J. Stein(University of Cape Town), Jason L. Stein(University of Southern California), Roberto Toro(Institut Pasteur), Jessica A. Turner(Georgia State University), Martijn P. van den Heuvel(University Medical Center Utrecht), Odile L. van den Heuvel(Amsterdam UMC Location Vrije Universiteit Amsterdam), Theo G.M. van Erp(University of California, Irvine), Daan van Rooij(Radboud University Nijmegen), Dick J. Veltman(Amsterdam Neuroscience), Henrik Walter(Berlin Heart (Germany)), Yalin Wang(Decision Systems (United States)), Joanna M. Wardlaw(Edinburgh College), Christopher D. Whelan(University of Southern California), Margaret J. Wright(The University of Queensland), Jieping Ye(Chinese Center For Disease Control and Prevention)
NeuroImage
December 5, 2015
Cited by 193Open Access
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Abstract

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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