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

dc.contributor.authorThompson, Paul M.
dc.contributor.authorAndreassen, Ole A.
dc.contributor.authorArias-Vasquez, Alejandro
dc.contributor.authorBearden, Carrie E.
dc.contributor.authorBoedhoe, Premika S.
dc.contributor.authorBrouwer, Rachel M.
dc.contributor.authorBuckner, Randy L.
dc.contributor.authorBuitelaar, Jan K.
dc.contributor.authorBulayeva, Kazima B.
dc.contributor.authorCannon, Dara M.
dc.contributor.authorCohen, Ronald A.
dc.contributor.authorConrod, Patricia J.
dc.contributor.authorDale, Anders M.
dc.contributor.authorDeary, Ian J.
dc.contributor.authorDennis, Emily L.
dc.contributor.authorde Reus, Marcel A.
dc.contributor.authorDesrivieres, Sylvane
dc.contributor.authorDima, Danai
dc.contributor.authorDonohoe, Gary
dc.contributor.authorFisher, Simon E.
dc.contributor.authorFouche, Jean-Paul
dc.contributor.authorFrancks, Clyde
dc.contributor.authorFrangou, Sophia
dc.contributor.authorFranke, Barbara
dc.contributor.authorGanjgahi, Habib
dc.contributor.authorGaravan, Hugh
dc.contributor.authorGlahn, David C.
dc.contributor.authorGrabe, Hans J.
dc.contributor.authorGuadalupe, Tulio
dc.contributor.authorGutman, Boris A.
dc.contributor.authorHashimoto, Ryota
dc.contributor.authorHibar, Derrek P.
dc.contributor.authorHolland, Dominic
dc.contributor.authorHoogman, Martine
dc.contributor.authorPol, Hilleke E. Hulshoff
dc.contributor.authorHosten, Norbert
dc.contributor.authorJahanshad, Neda
dc.contributor.authorKelly, Sinead
dc.contributor.authorKochunov, Peter
dc.contributor.authorKremen, William S.
dc.contributor.authorLee, Phil H.
dc.contributor.authorMackey, Scott
dc.contributor.authorMartin, Nicholas G.
dc.contributor.authorMazoyer, Bernard
dc.contributor.authorMcDonald, Colm
dc.contributor.authorMedland, Sarah E.
dc.contributor.authorMorey, Rajendra A.
dc.contributor.authorNichols, Thomas E.
dc.contributor.authorPaus, Tomas
dc.contributor.authorPausova, Zdenka
dc.contributor.authorSchmaal, Lianne
dc.contributor.authorSchumann, Gunter
dc.contributor.authorShen, Li
dc.contributor.authorSisodiya, Sanjay M.
dc.contributor.authorSmit, Dirk J.A.
dc.contributor.authorSmoller, Jordan W.
dc.contributor.authorStein, Dan J.
dc.contributor.authorStein, Jason L.
dc.contributor.authorToro, Roberto
dc.contributor.authorTurner, Jessica A.
dc.contributor.authorHeuvel, Martijn P. van den
dc.contributor.authorHeuvel, Odile L. van den
dc.contributor.authorErp, Theo G.M. van
dc.contributor.authorRooij, Daan van
dc.contributor.authorVeltman, Dick J.
dc.contributor.authorWalter, Henrik
dc.contributor.authorWang, Yalin
dc.contributor.authorWardlaw, Joanna M.
dc.contributor.authorWhelan, Christopher D.
dc.contributor.authorWright, Margaret J.
dc.contributor.authorYe, Jieping
dc.contributor.authorENIGMA Consortium
dc.contributor.departmentRadiology and Imaging Sciences, School of Medicineen_US
dc.date.accessioned2018-05-25T18:18:51Z
dc.date.available2018-05-25T18:18:51Z
dc.date.issued2017-01-15
dc.description.abstractIn 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.en_US
dc.eprint.versionAuthor's manuscripten_US
dc.identifier.citationThompson, P. M., Andreassen, O. A., Arias-Vasquez, A., Bearden, C. E., Boedhoe, P. S., Brouwer, R. M., … the ENIGMA Consortium. (2017). ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide. NeuroImage, 145(Pt B), 389–408. http://doi.org/10.1016/j.neuroimage.2015.11.057en_US
dc.identifier.urihttps://hdl.handle.net/1805/16263
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.relation.isversionof10.1016/j.neuroimage.2015.11.057en_US
dc.relation.journalNeuroImageen_US
dc.rightsAttribution 3.0 United States
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/
dc.sourcePMCen_US
dc.subjectBrain diseasesen_US
dc.subjectGenome-wide association studyen_US
dc.subjectMental disordersen_US
dc.subjectENIGMA Consortiumen_US
dc.subjectBrain -- Imagingen_US
dc.titleENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwideen_US
dc.typeArticleen_US
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