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

Thompson, Paul M., Andreassen, Ole A., Arias-Vasquez, Alejandro, Bearden, Carrie E., Boedhoe, Premika S., Brouwer, Rachel M., Buckner, Randy L., Wright, Margaret J. and Ye, Jieping (2015) ENIGMA and the individual: predicting factors that affect the brain in 35 countries worldwide. Neuroimage, 145 Pt B: 389-408. doi:10.1016/j.neuroimage.2015.11.057


Author Thompson, Paul M.
Andreassen, Ole A.
Arias-Vasquez, Alejandro
Bearden, Carrie E.
Boedhoe, Premika S.
Brouwer, Rachel M.
Buckner, Randy L.
Wright, Margaret J.
Ye, Jieping
Title ENIGMA and the individual: predicting factors that affect the brain in 35 countries worldwide
Journal name Neuroimage   Check publisher's open access policy
ISSN 1053-8119
1095-9572
Publication date 2015-12-04
Year available 2015
Sub-type Article (original research)
DOI 10.1016/j.neuroimage.2015.11.057
Open Access Status DOI
Volume 145
Issue Pt B
Start page 389
End page 408
Total pages 20
Place of publication Amsterdam, NX, Netherlands
Publisher Elsevier
Language eng
Subject 2808 Neurology
2805 Cognitive Neuroscience
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.
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID RF1 AG041915
K99 MH101367
R01 AG018386
R01 EB015611
R01 AG040060
UL1 TR001863
R01 MH104284
MR/M013111/1
G1001245
R01 AG018384
MR/K026992/1
U54 EB020403
100309
G0701120
R00 MH101367
G0900908
BB/F019394/1
P01 AA019072
R01 AG022381
R01 AG050595
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2016 Collection
 
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Created: Tue, 22 Mar 2016, 21:44:49 EST by Susan Day on behalf of Queensland Brain Institute