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

dc.contributor.author

Thompson, Paul M

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Andreassen, Ole A

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Arias-Vasquez, Alejandro

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Bearden, Carrie E

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Boedhoe, Premika S

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Brouwer, Rachel M

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Buckner, Randy L

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Buitelaar, Jan K

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Bulayeva, Kazima B

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Cannon, Dara M

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Cohen, Ronald A

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Conrod, Patricia J

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Dale, Anders M

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Deary, Ian J

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Dennis, Emily L

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de Reus, Marcel A

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Desrivieres, Sylvane

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Dima, Danai

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Donohoe, Gary

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Fisher, Simon E

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Fouche, Jean-Paul

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Francks, Clyde

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Frangou, Sophia

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Franke, Barbara

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Ganjgahi, Habib

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Garavan, Hugh

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Glahn, David C

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Grabe, Hans J

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Guadalupe, Tulio

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Gutman, Boris A

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Hashimoto, Ryota

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Hibar, Derrek P

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Holland, Dominic

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Hoogman, Martine

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Hulshoff Pol, Hilleke E

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Hosten, Norbert

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Jahanshad, Neda

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Kelly, Sinead

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Kochunov, Peter

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Kremen, William S

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Lee, Phil H

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Mackey, Scott

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Martin, Nicholas G

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Mazoyer, Bernard

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McDonald, Colm

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Medland, Sarah E

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Morey, Rajendra A

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Nichols, Thomas E

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Paus, Tomas

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Pausova, Zdenka

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Schmaal, Lianne

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Schumann, Gunter

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Shen, Li

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Sisodiya, Sanjay M

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Smit, Dirk JA

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Smoller, Jordan W

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Stein, Dan J

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Stein, Jason L

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Toro, Roberto

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Turner, Jessica A

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van den Heuvel, Martijn P

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van den Heuvel, Odile L

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van Erp, Theo GM

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van Rooij, Daan

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Veltman, Dick J

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Walter, Henrik

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Wang, Yalin

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Wardlaw, Joanna M

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Whelan, Christopher D

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Wright, Margaret J

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Ye, Jieping

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ENIGMA Consortium

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United States

dc.date.accessioned

2016-02-25T15:31:18Z

dc.date.issued

2017-01-15

dc.description.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 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.

dc.identifier

http://www.ncbi.nlm.nih.gov/pubmed/26658930

dc.identifier

S1053-8119(15)01081-2

dc.identifier.eissn

1095-9572

dc.identifier.uri

https://hdl.handle.net/10161/11642

dc.language

eng

dc.publisher

Elsevier BV

dc.relation.ispartof

Neuroimage

dc.relation.isversionof

10.1016/j.neuroimage.2015.11.057

dc.title

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

dc.type

Journal article

pubs.author-url

http://www.ncbi.nlm.nih.gov/pubmed/26658930

pubs.begin-page

389

pubs.end-page

408

pubs.issue

Pt B

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Clinical Science Departments

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Duke

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Duke Institute for Brain Sciences

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Duke-UNC Center for Brain Imaging and Analysis

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Institutes and Centers

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Institutes and Provost's Academic Units

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Psychiatry & Behavioral Sciences

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Psychiatry & Behavioral Sciences, Translational Neuroscience

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School of Medicine

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University Institutes and Centers

pubs.publication-status

Published

pubs.volume

145

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