The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
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...
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Published in | Brain imaging and behavior Vol. 8; no. 2; pp. 153 - 182 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article Web Resource |
Language | English |
Published |
Boston
Springer US
01.06.2014
Springer Nature B.V Secaucus, NJ : Springer Springer |
Subjects | |
Online Access | Get full text |
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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. |
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AbstractList | 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.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. 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. 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. This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. Issue Title: SI: Genetic Neuroimaging in Aging and Age-Related Disease 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.[PUBLICATION 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. © 2014 The Author(s). |
Author | Meyer-Lindenberg, Andreas Zwiers, Marcel P. Jack, Clifford R. Lawrie, Stephen M. Trabzuni, Daniah Ehrlich, Stefan Lemaître, Herve Apostolova, Liana G. Smoller, Jordan W. Pütz, Benno Moses, Eric K. Sachdev, Perminder S. Lauriello, John Fagerness, Jesen White, Tonya Li, Chiang-shan Kelly, Sinead Dyer, Thomas D. Milaneschi, Yuri Schnack, Hugo G. Mattheisen, Manuel Salami, Alireza Nichols, Thomas E. Toga, Arthur W. Walter, Henrik Manoach, Dara S. Renteria, Miguel E. Martin, Nicholas G. Godlewska, Beata Hegenscheid, Katrin Shoemaker, Jody M. Bearden, Carrie E. Fedko, Iryna Czisch, Michael Hong, L. Elliot Lourdusamy, Anbarasu Liu, Xinmin McDonald, Colm Frouin, Vincent Gollub, Randy L. Coppola, Giovanni Luciano, Michelle Kwok, John B. J. Tordesillas-Gutierrez, Diana Gur, Ruben C. Hoekstra, Pieter J. Machielsen, Marise W. J. Veltman, Dick J. Thompson, Paul M. McMahon, Katie L. Nho, Kwangsik Ramasamy, Adaikalavan Binder, Elisabeth B. Olvera, Rene L. Poline, Jean-Baptiste Emsell, Louise Zilles, David Schumann, Gunter Westlye, Lars T. Bralten, Janita Kasp |
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PublicationCentury | 2000 |
PublicationDate | 2014-06-01 |
PublicationDateYYYYMMDD | 2014-06-01 |
PublicationDate_xml | – month: 06 year: 2014 text: 2014-06-01 day: 01 |
PublicationDecade | 2010 |
PublicationPlace | Boston |
PublicationPlace_xml | – name: Boston – name: United States – name: Indianapolis |
PublicationTitle | Brain imaging and behavior |
PublicationTitleAbbrev | Brain Imaging and Behavior |
PublicationTitleAlternate | Brain Imaging Behav |
PublicationYear | 2014 |
Publisher | Springer US Springer Nature B.V Secaucus, NJ : Springer Springer |
Publisher_xml | – name: Springer US – name: Springer Nature B.V – name: Secaucus, NJ : Springer – name: Springer |
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Snippet | The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of... Issue Title: SI: Genetic Neuroimaging in Aging and Age-Related Disease The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a... |
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SubjectTerms | Biomedical and Life Sciences Biomedicine Brain Mapping - methods Consortium Cooperative Behavior Genetics Genetics & genetic processes Genome-Wide Association Study - methods GWAS Génétique & processus génétiques Humans Life Sciences Meta-analysis Meta-Analysis as Topic MRI Multi-site Neuroimaging - methods Neurons and Cognition Neuropsychology Neuroradiology Neurosciences Neurovetenskaper Psychiatry Sciences du vivant SI: Genetic Neuroimaging in Aging and Age-Related Diseases Systematic review |
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Title | The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data |
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