title: ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide.
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.
authors.affiliation: Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Marina del Rey 90292, USA; Departments of Neurosciences, Radiology, Psychiatry, and Cognitive Science, University of California, San Diego 92093, CA, USA.
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authors.forename: Alejandro
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authors.affiliation: Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, CA 90095, USA; Dept. of Psychology, University of California, Los Angeles, CA 90095, USA; Brain Research Institute, University of California, Los Angeles, CA 90095, USA.
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authors.forename: Premika S
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authors.affiliation: National Institute of Mental Health Intramural Research Program, Bethesda 20892, USA; Neuroimaging & Cognitive Genomics Centre (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33 Galway, Ireland.
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authors.affiliation: Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Marina del Rey 90292, USA; Neurogenetics Program, Department of Neurology, UCLA School of Medicine, Los Angeles 90095, USA.
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authors.affiliation: Department of Anatomy & Neurosciences, VU University Medical Center, Amsterdam, The Netherlands; Department of Psychiatry, VU University Medical Center (VUMC), Amsterdam, The Netherlands; Neuroscience Campus Amsterdam, VU/VUMC, Amsterdam, The Netherlands.
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authors.affiliation: Brain Research Imaging Centre, University of Edinburgh, Edinburgh EH4 2XU, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH4 2XU, UK.
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authors.affiliation: Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Marina del Rey 90292, USA.
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authors.affiliation: Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA.
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mesh_terms: D001927:Brain Diseases / Q000000981:diagnostic imaging / Q000235:genetics / Q000473:pathology / Q000503:physiopathology; D055106:Genome-Wide Association Study; D006801:Humans; D001523:Mental Disorders / Q000000981:diagnostic imaging / Q000235:genetics / Q000473:pathology / Q000503:physiopathology; D015337:Multicenter Studies as Topic