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Title: The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
Author(s): Thompson, P.M.; Stein, J.L.; Medland, S.E.; Hibar, D.P.; Arias Vasquez, A. ; Renteria, M.E.; Toro, R.; Jahanshad, N.; Schumann, G.; Franke, B. ; Wright, M.J.; Martin, N.G.; Agartz, I.; Alda, M.; Alhusaini, S.; Almasy, L.; Almeida, J.; Alpert, K.; Andreasen, N.C.; Andreassen, O.A.; Apostolova, L.G.; Appel, K.; Armstrong, N.J.; Aribisala, B.; Bastin, M.E.; Bauer, M.; Bearden, C.E.; Bergmann, O.; Binder, E.B.; Blangero, J.; Bockholt, H.J.; Boen, E.; Bois, C.; Boomsma, D.I. ; Booth, T.; Bowman, I.J.; Bralten, J.; Brouwer, R.M. ; Brunner, H.G. ; Brohawn, D.G.; Buckner, R.L.; Buitelaar, J.K. ; Bulayeva, K.; Bustillo, J.R.; Calhoun, V.D.; Cannon, D.M.; Cantor, R.M.; Carless, M.A.; Caseras, X.; Cavalleri, G.L.; Chakravarty, M.M.; Chang, K.D.; Ching, C.R.; Christoforou, A.; Cichon, S.; Clark, V.P.; Conrod, P.; Coppola, G.; Crespo-Facorro, B.; Curran, J.E.; Czisch, M.; Deary, I.J.; Geus, E.J. de; Braber, A.; Delvecchio, G.; Depondt, C.; Haan, L. de; Zubicaray, G.I. de; Dima, D.; Dimitrova, R.; Djurovic, S.; Dong, H.; Donohoe, G.; Duggirala, R.; Dyer, T.D.; Ehrlich, S.; Ekman, C.J.; Elvsashagen, T.; Emsell, L.; Erk, S.; Espeseth, T.; Fagerness, J.; Fears, S.; Fedko, I.; Fernandez, G.S.E. ; Fisher, S.E. ; Foroud, T.; Fox, P.T.; Francks, C.; Frangou, S.; Frey, E.M.; Frodl, T.; Frouin, V.; Garavan, H.; Giddaluru, S.; Glahn, D.C.; Godlewska, B.; Goldstein, R.Z.; Gollub, R.L.; Grabe, H.J.
Publication year: 2014
Source: Brain Imaging and Behavior, vol. 8, iss. 2, (2014), pp. 153-182
Number of Pages: 30 p.
ISSN: 1931-7557
DOI: https://doi.org/10.1007/s11682-013-9269-5
Publication type: Article / Letter to editor

Please use this identifier to cite or link to this item : https://hdl.handle.net/2066/127593   https://hdl.handle.net/2066/127593

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Subject: 120 000 Neuronal Coherence
130 000 Cognitive Neurology & Memory
Neuroinformatics
Radboudumc 13: Stress-related disorders DCMN: Donders Center for Medical Neuroscience
Radboudumc 7: Neurodevelopmental disorders DCMN: Donders Center for Medical Neuroscience
Organization: Cognitive Neuroscience
Human Genetics
Psychiatry
Cardio Thoracic Surgery
PI Group Memory and Emotion
Neuroinformatics
Journal title:
Brain Imaging and Behavior
Volume: vol. 8
Issue: iss. 2
Page start: p. 153
Page end: p. 182
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.
Languages used: English (eng)

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