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

  • Paul M. Thompson
  • , Emily L. Dennis
  • , Boris A. Gutman
  • , Derrek P. Hibar
  • , Neda Jahanshad
  • , Sinead Kelly
  • , Jason L. Stein
  • , Christopher D. Whelan
  • , Ole A. Andreassen
  • , Ole A. Andreassen
  • , Alejandro Arias-Vasquez
  • , Carrie E. Bearden
  • , Carrie E. Bearden
  • , Carrie E. Bearden
  • , Premika S. Boedhoe
  • , Odile L. van den Heuvel
  • , Dick J. Veltman
  • , Rachel M. Brouwer
  • , Marcel A. de Reus
  • , Hilleke E.Hulshoff Pol
  • Martijn P. van den Heuvel, Randy L. Buckner, Jan K. Buitelaar, Simon E. Fisher, Clyde Francks, Barbara Franke, Martine Hoogman, Daan van Rooij, Jan K. Buitelaar, Kazima B. Bulayeva, Dara M. Cannon, Dara M. Cannon, Colm McDonald, Ronald A. Cohen, Patricia J. Conrod, Anders M. Dale, Dominic Holland, Paul M. Thompson, Ian J. Deary, Joanna M. Wardlaw, Sylvane Desrivieres, Gunter Schumann, Danai Dima, Danai Dima, Sophia Frangou, Gary Donohoe, Simon E. Fisher, Clyde Francks, Tulio Guadalupe, Jean Paul Fouche, Dan J. Stein, Barbara Franke, Martine Hoogman, Barbara Franke, Habib Ganjgahi, Hugh Garavan, David C. Glahn, David C. Glahn, Hans J. Grabe, Hans J. Grabe, Tulio Guadalupe, Ryota Hashimoto, Norbert Hosten, Peter Kochunov, William S. Kremen, Phil H. Lee, Phil H. Lee, Phil H. Lee, Scott Mackey, Bernard Mazoyer, Nicholas G. Martin, Sarah E. Medland, Rajendra A. Morey, Thomas E. Nichols, Thomas E. Nichols, Tomas Paus, Tomas Paus, Tomas Paus, Zdenka Pausova, Zdenka Pausova, Li Shen, Li Shen, Sanjay M. Sisodiya, Dirk J.A. Smit, Jordan W. Smoller, Dan J. Stein, Jason L. Stein, Roberto Toro, Jessica A. Turner, Premika S. Boedhoe, Lianne Schmaal, Odile L. van den Heuvel, Dick J. Veltman, Premika S. Boedhoe, Lianne Schmaal, Odile L. van den Heuvel, Dick J. Veltman, Theo G.M. van Erp, Henrik Walter, Yalin Wang, Joanna M. Wardlaw, Joanna M. Wardlaw, Margaret J. Wright, Jieping Ye, Jieping Ye

Research output: Contribution to JournalArticleAcademicpeer-review

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.

Original languageEnglish
Pages (from-to)389-408
Number of pages20
JournalNeuroImage
Volume145
DOIs
Publication statusPublished - 15 Jan 2017

Funding

This work was supported in part by a Consortium grant (U54 EB 020403) from the NIH Institutes contributing to the Big Data to Knowledge (BD2K) Initiative, including the NIBIB. Funding for individual consortium authors is listed in Hibar et al., Nature , 2015 and in other papers cited here. This paper was collaboratively written on Google Docs by all authors, over a period of several weeks. We thank Josh Faskowitz for making Fig. 3 , the ENIGMA “roadmap”.

FundersFunder number
National Institutes of Health
National Institute on AgingRF1AG041915, R01AG022381, R01AG040060, P30AG028740, R01AG018386, R01AG018384, R01AG050595
Medical Research CouncilG1001245, G0701120, MR/K026992/1, MR/M013111/1
Biotechnology and Biological Sciences Research CouncilBB/F019394/1
Japan Society for the Promotion of Science16H05375
National Institute on Alcohol Abuse and AlcoholismP01AA019072
National Institute of Mental HealthR00MH101367, R01MH104284, K24MH094614
National Institute of Biomedical Imaging and BioengineeringR01EB015611, U54EB020403
European Commission278948
National Center for Advancing Translational SciencesUL1TR001863

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 17 - Partnerships for the Goals
      SDG 17 Partnerships for the Goals

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