Peer-Reviewed Journal Details
Mandatory Fields
Thompson PM;Andreassen OA;Arias-Vasquez A;Bearden CE;Boedhoe PS;Brouwer RM;Buckner RL;Buitelaar JK;Bulayeva KB;Cannon DM;Cohen RA;Conrod PJ;Dale AM;Deary IJ;Dennis EL;de Reus MA;Desrivieres S;Dima D;Donohoe G;Fisher SE;Fouche JP;Francks C;Frangou S;Franke B;Ganjgahi H;Garavan H;Glahn DC;Grabe HJ;Guadalupe T;Gutman BA;Hashimoto R;Hibar DP;Holland D;Hoogman M;Pol HE;Hosten N;Jahanshad N;Kelly S;Kochunov P;Kremen WS;Lee PH;Mackey S;Martin NG;Mazoyer B;McDonald C;Medland SE;Morey RA;Nichols TE;Paus T;Pausova Z;Schmaal L;Schumann G;Shen L;Sisodiya SM;Smit DJ;Smoller JW;Stein DJ;Stein JL;Toro R;Turner JA;van den Heuvel MP;van den Heuvel OL;van Erp TG;van Rooij D;Veltman DJ;Walter H;Wang Y;Wardlaw JM;Whelan CD;Wright MJ;Ye J; ;
2015
December
Neuroimage
ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide.
Published
Optional Fields
145
B
389
408
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 others(1), 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.
1095-9572
10.1016/j.neuroimage.2015.11.057
Grant Details
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