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

Neuroimage
Authors
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.

Year of Publication
2017
Journal
Neuroimage
Volume
145
Issue
Pt B
Pages
389-408
Date Published
2017 Jan 15
ISSN
1095-9572
URL
DOI
10.1016/j.neuroimage.2015.11.057
PubMed ID
26658930
PubMed Central ID
PMC4893347
Links
Grant list
RF1 AG041915 / AG / NIA NIH HHS / United States
R01 AG018386 / AG / NIA NIH HHS / United States
R01 EB015611 / EB / NIBIB NIH HHS / United States
R01 AG040060 / AG / NIA NIH HHS / United States
MR/M013111/1 / Medical Research Council / United Kingdom
G1001245 / Medical Research Council / United Kingdom
R01 AG018384 / AG / NIA NIH HHS / United States
MR/K026992/1 / Medical Research Council / United Kingdom
U54 EB020403 / EB / NIBIB NIH HHS / United States
100309 / Wellcome Trust / United Kingdom
G0701120 / Medical Research Council / United Kingdom
G0900908 / Medical Research Council / United Kingdom
BB/F019394/1 / Biotechnology and Biological Sciences Research Council / United Kingdom
P01 AA019072 / AA / NIAAA NIH HHS / United States
R01 AG022381 / AG / NIA NIH HHS / United States
R01 AG050595 / AG / NIA NIH HHS / United States