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 inBrain imaging and behavior Vol. 8; no. 2; pp. 153 - 182
Main Authors Vasquez, Alejandro Arias, Renteria, Miguel E., Agartz, Ingrid, Apostolova, Liana G., Bastin, Mark E., Bauer, Michael, Bearden, Carrie E., Binder, Elisabeth B., Bøen, Erlend, Bowman, Ian J., Brohawn, David G., Buitelaar, Jan, Carless, Melanie A., Ching, Christopher R. K., Conrod, Patricia, Depondt, Chantal, de Zubicaray, Greig I., Djurovic, Srdjan, Duggirala, Ravindranath, Dyer, Thomas D., Ekman, Carl Johan, Emsell, Louise, Fears, Scott, Fedko, Iryna, Fox, Peter T., Francks, Clyde, Frodl, Thomas, Frouin, Vincent, Godlewska, Beata, Haukvik, Unn K., Hickie, Ian B., Hoekstra, Pieter J., Homuth, Georg, Hulshoff Pol, Hilleke E., Hwang, Kristy S., Kim, Sungeun, Kochunov, Peter, Krämer, Bernd, Kwok, John B. J., Laje, Gonzalo, Landman, Bennett A., Lauriello, John, Li, Chiang-shan, Liberg, Benny, Liu, Xinmin, Macciardi, Fabio, Malt, Ulrik F., Mattheisen, Manuel, Meyer-Lindenberg, Andreas, Melle, Ingrid, Mohnke, Sebastian, Morris, Derek W., Mueller, Bryon A., Mühleisen, Thomas W., Müller-Myhsok, Bertram, Nichols, Thomas E., Oosterlaan, Jaap, Pandolfo, Massimo, Papmeyer, Martina, Pausova, Zdenka, Penninx, Brenda W., Peterson, Charles P., Potkin, Steven G., Rasmussen, Jerod, Rijpkema, Mark, Risacher, Shannon L., Roiz-Santiañez, Roberto, Romanczuk-Seiferth, Nina, Rujescu, Dan, Salami, Alireza, Scanlon, Cathy, Schmaal, Lianne, Schnack, Hugo G., Schork, Andrew J., Seidman, Larry, Shen, Li, Smoller, Jordan W., Sponheim, Scott R., Starr, John M., Sussmann, Jessika, Sämann, Philipp G., Teumer, Alexander, Toga, Arthur W., Trabzuni, Daniah, Turner, Jessica, Van den Heuvel, Martijn, van Eijk, Kristel, van Erp, Theo G. M., van Haren, Neeltje E. M., van ‘t Ent, Dennis, van Tol, Marie-Jose, Valdés Hernández, Maria C., Versace, Amelia, Weale, Michael E., Westlye, Lars T., Whelan, Christopher D., Wittfeld, Katharina, Zilles, David, Freimer, Nelson B., Lawrence, Natalia S.
Format Journal Article Web Resource
LanguageEnglish
Published Boston Springer US 01.06.2014
Springer Nature B.V
Secaucus, NJ : Springer
Springer
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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.
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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  givenname: Larry
  surname: Seidman
  fullname: Seidman, Larry
  organization: Department of Psychiatry, Beth Israel Deaconess Medical Center, Department of Psychiatry, Harvard Medical School, Harvard University
– sequence: 236
  givenname: Li
  surname: Shen
  fullname: Shen, Li
  organization: Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine
– sequence: 241
  givenname: Jordan W.
  surname: Smoller
  fullname: Smoller, Jordan W.
  organization: Broad Institute of Harvard and MIT, Department of Psychiatry, Massachusetts General Hospital, Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital
– sequence: 243
  givenname: Scott R.
  surname: Sponheim
  fullname: Sponheim, Scott R.
  organization: Department of Psychiatry, University of Minnesota Medical Center, Minneapolis VA Health Care System
– sequence: 245
  givenname: John M.
  surname: Starr
  fullname: Starr, John M.
  organization: Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Alzheimer Scotland Dementia Research Centre, University of Edinburgh
– sequence: 249
  givenname: Jessika
  surname: Sussmann
  fullname: Sussmann, Jessika
  organization: Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh
– sequence: 250
  givenname: Philipp G.
  surname: Sämann
  fullname: Sämann, Philipp G.
  organization: Max Planck Institute of Psychiatry
– sequence: 251
  givenname: Alexander
  surname: Teumer
  fullname: Teumer, Alexander
  organization: Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald
– sequence: 252
  givenname: Arthur W.
  surname: Toga
  fullname: Toga, Arthur W.
  organization: Imaging Genetics Center, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California
– sequence: 254
  givenname: Daniah
  surname: Trabzuni
  fullname: Trabzuni, Daniah
  organization: Department of Molecular Neuroscience, UCL Institute, Department of Genetics, King Faisal Specialist Hospital and Research Centre
– sequence: 256
  givenname: Jessica
  surname: Turner
  fullname: Turner, Jessica
  organization: The Mind Research Network, Department of Psychology and Neuroscience Institute, Georgia State University
– sequence: 257
  givenname: Martijn
  surname: Van den Heuvel
  fullname: Van den Heuvel, Martijn
  organization: Brain Center Rudolf Magnus, University Medical Center Utrecht
– sequence: 259
  givenname: Kristel
  surname: van Eijk
  fullname: van Eijk, Kristel
  organization: Department of Psychiatry, Rudolf Magnus Institute, University Medical Center Utrecht
– sequence: 260
  givenname: Theo G. M.
  surname: van Erp
  fullname: van Erp, Theo G. M.
  organization: Department of Psychiatry and Human Behavior, University of California
– sequence: 261
  givenname: Neeltje E. M.
  surname: van Haren
  fullname: van Haren, Neeltje E. M.
  organization: Brain Center Rudolf Magnus, University Medical Center Utrecht
– sequence: 262
  givenname: Dennis
  surname: van ‘t Ent
  fullname: van ‘t Ent, Dennis
  organization: Department of Biological Psychology, VU University
– sequence: 263
  givenname: Marie-Jose
  surname: van Tol
  fullname: van Tol, Marie-Jose
  organization: Behavioural and Cognitive Neuroscience Neuroimaging Center, University Medical Center Groningen
– sequence: 264
  givenname: Maria C.
  surname: Valdés Hernández
  fullname: Valdés Hernández, Maria C.
  organization: Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Brain Research Imaging Centre, The University of Edinburgh
– sequence: 266
  givenname: Amelia
  surname: Versace
  fullname: Versace, Amelia
  organization: Department of Psychiatry, University of Pittsburgh
– sequence: 272
  givenname: Michael E.
  surname: Weale
  fullname: Weale, Michael E.
  organization: Department of Medical and Molecular Genetics, King’s College London
– sequence: 275
  givenname: Lars T.
  surname: Westlye
  fullname: Westlye, Lars T.
  organization: NORMENT, KG Jebsen Centre for Psychosis Research, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Department of Psychology, University of Oslo
– sequence: 277
  givenname: Christopher D.
  surname: Whelan
  fullname: Whelan, Christopher D.
  organization: Department of Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland
– sequence: 280
  givenname: Katharina
  surname: Wittfeld
  fullname: Wittfeld, Katharina
  organization: German Center for Neurodegenerative Diseases (DZNE), University of Greifswald
– sequence: 283
  givenname: David
  surname: Zilles
  fullname: Zilles, David
  organization: Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry, Georg August University
– sequence: 287
  givenname: Nelson B.
  surname: Freimer
  fullname: Freimer, Nelson B.
  organization: Department of Psychiatry and Biobehavioral Sciences, UCLA School of Medicine
– sequence: 288
  givenname: Natalia S.
  surname: Lawrence
  fullname: Lawrence, Natalia S.
  organization: School of Psychology, University of Exeter
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Springer Science+Business Media New York 2014
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CorporateAuthor the Alzheimer’s Disease Neuroimaging Initiative, EPIGEN Consortium, IMAGEN Consortium, Saguenay Youth Study (SYS) Group
Alzheimer’s Disease Neuroimaging Initiative, EPIGEN Consortium, IMAGEN Consortium, Saguenay Youth Study (SYS) Group
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Keywords Consortium
Genetics
GWAS
MRI
Multi-site
Meta-analysis
Language English
License http://creativecommons.org/licenses/by/2.0
Attribution: http://creativecommons.org/licenses/by
Open AccessThis 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.
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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
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