학술논문

The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
Document Type
article
Author
Thompson, Paul MStein, Jason LMedland, Sarah EHibar, Derrek PVasquez, Alejandro AriasRenteria, Miguel EToro, RobertoJahanshad, NedaSchumann, GunterFranke, BarbaraWright, Margaret JMartin, Nicholas GAgartz, IngridAlda, MartinAlhusaini, SaudAlmasy, LauraAlmeida, JorgeAlpert, KathrynAndreasen, Nancy CAndreassen, Ole AApostolova, Liana GAppel, KatjaArmstrong, Nicola JAribisala, BenjaminBastin, Mark EBauer, MichaelBearden, Carrie EBergmann, ØrjanBinder, Elisabeth BBlangero, JohnBockholt, Henry JBøen, ErlendBois, CatherineBoomsma, Dorret IBooth, TomBowman, Ian JBralten, JanitaBrouwer, Rachel MBrunner, Han GBrohawn, David GBuckner, Randy LBuitelaar, JanBulayeva, KazimaBustillo, Juan RCalhoun, Vince DCannon, Dara MCantor, Rita MCarless, Melanie ACaseras, XavierCavalleri, Gianpiero LChakravarty, M MallarChang, Kiki DChing, Christopher RKChristoforou, AndreaCichon, SvenClark, Vincent PConrod, PatriciaCoppola, GiovanniCrespo-Facorro, BenedictoCurran, Joanne ECzisch, MichaelDeary, Ian Jde Geus, Eco JCden Braber, AnoukDelvecchio, GiuseppeDepondt, Chantalde Haan, Lieuwede Zubicaray, Greig IDima, DanaiDimitrova, RaliDjurovic, SrdjanDong, HongweiDonohoe, GaryDuggirala, RavindranathDyer, Thomas DEhrlich, StefanEkman, Carl JohanElvsåshagen, TorbjørnEmsell, LouiseErk, SusanneEspeseth, ThomasFagerness, JesenFears, ScottFedko, IrynaFernández, GuillénFisher, Simon EForoud, TatianaFox, Peter TFrancks, ClydeFrangou, SophiaFrey, Eva MariaFrodl, ThomasFrouin, VincentGaravan, HughGiddaluru, SudheerGlahn, David CGodlewska, BeataGoldstein, Rita ZGollub, Randy LGrabe, Hans J
Source
Brain Imaging and Behavior. 8(2)
Subject
Biological Psychology
Health Sciences
Psychology
Mental Health
Clinical Research
Genetics
Schizophrenia
Biomedical Imaging
Brain Disorders
Neurosciences
Aetiology
2.1 Biological and endogenous factors
Mental health
Neurological
Good Health and Well Being
Brain Mapping
Cooperative Behavior
Genome-Wide Association Study
Humans
Meta-Analysis as Topic
Neuroimaging
MRI
GWAS
Consortium
Meta-analysis
Multi-site
Alzheimer’s Disease Neuroimaging Initiative
EPIGEN Consortium
IMAGEN Consortium
Saguenay Youth Study (SYS) Group
Medical and Health Sciences
Psychology and Cognitive Sciences
Experimental Psychology
Biomedical and clinical sciences
Health sciences
Language
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.