The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

Alzheimer's Dis Neuroimaging, EPIGEN Consortium, IMAGEN Consortium, Saguenay Youth Study SYS Grp, Paul M. Thompson*, Jason L. Stein, Sarah E. Medland, Derrek P. Hibar, Alejandro Arias Vasquez, Miguel E. Renteria, Roberto Toro, Neda Jahanshad, Gunter Schumann, Barbara Franke, Margaret J. Wright, Nicholas G. Martin, Ingrid Agartz, Martin Alda, Saud Alhusaini, Laura AlmasyJorge Almeida, Kathryn Alpert, Nancy C. Andreasen, Ole A. Andreassen, Liana G. Apostolova, Katja Appel, Nicola J. Armstrong, Benjamin Aribisala, Mark E. Bastin, Michael Bauer, Carrie E. Bearden, Orjan Bergmann, Elisabeth B. Binder, John Blangero, Henry J. Bockholt, Erlend Boen, Catherine Bois, Dorret I. Boomsma, Tom Booth, Ian J. Bowman, Janita Bralten, Ian J. Deary, Jeremy Hall, Stephen M. Lawrie, David C. Liewald, Lorna M. Lopez, Michelle Luciano, Andrew M. McIntosh, Natalie A. Royle, Colin Smith, John M. Starr, Jessika Sussmann, Joanna M. Wardlaw, Heather C. Whalley

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of large-scale studies that integrate data from 70 institutions worldwide. Organized into Working Groups that tackle questions in neuroscience, genetics, and medicine, ENIGMA studies have analyzed neuroimaging data from over 12,826 subjects. In addition, data from 12,171 individuals were provided by the CHARGE consortium for replication of findings, in a total of 24,997 subjects. By meta-analyzing results from many sites, ENIGMA has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected. ENIGMA's first project was a genome-wide association study identifying common variants in the genome associated with hippocampal volume or intracranial volume. Continuing work is exploring genetic associations with subcortical volumes (ENIGMA2) and white matter microstructure (ENIGMA-DTI). Working groups also focus on understanding how schizophrenia, bipolar illness, major depression and attention deficit/hyperactivity disorder (ADHD) affect the brain. We review the current progress of the ENIGMA Consortium, along with challenges and unexpected discoveries made on the way.
Original languageEnglish
Pages (from-to)153-182
Number of pages30
JournalBrain imaging and behavior
Volume8
Issue number2
Early online date8 Jan 2014
DOIs
Publication statusPublished - Jun 2014

Keywords

  • Genetics
  • MRI
  • GWAS
  • Consortium
  • Meta-analysis
  • Multi-site
  • GENOME-WIDE ASSOCIATION
  • CORTICAL SURFACE-AREA
  • WHITE-MATTER MICROSTRUCTURE
  • MULTIVARIATE PARALLEL ICA
  • TENSOR-BASED MORPHOMETRY
  • QUANTITATIVE TRAIT LOCI
  • VOXEL-BASED MORPHOMETRY
  • HUMAN BRAIN STRUCTURE
  • DISEASE RISK VARIANT
  • BODY-MASS INDEX

Fingerprint

Dive into the research topics of 'The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data'. Together they form a unique fingerprint.

Cite this