The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

Alzheimer's Dis Neuroimaging; EPIGEN Consortium; IMAGEN Consortium; Saguenay Youth Study SYS Grp; Paul M. Thompson; Jason L. Stein; Sarah E. Medland; Derrek P. Hibar; Alejandro Arias Vasquez; Miguel E. Renteria; Roberto Toro; Neda Jahanshad; Gunter Schumann; Barbara Franke; Margaret J. Wright; Nicholas G. Martin; Ingrid Agartz; Martin Alda; Saud Alhusaini; Laura Almasy; Jorge Almeida; Kathryn Alpert; Nancy C. Andreasen; Ole A. Andreassen; Liana G. Apostolova; Katja Appel; Nicola J. Armstrong; Benjamin Aribisala; Mark E. Bastin; Michael Bauer; Carrie E. Bearden; Orjan Bergmann; Elisabeth B. Binder; John Blangero; Henry J. Bockholt; Erlend Boen; Catherine Bois; Dorret I. Boomsma; Tom Booth; Ian J. Bowman; Janita Bralten; Ian J. Deary; Jeremy Hall; Stephen M. Lawrie; David C. Liewald; Lorna M. Lopez; Michelle Luciano; Andrew M. McIntosh; Natalie A. Royle; Colin Smith; John M. Starr; Jessika Sussmann; Joanna M. Wardlaw; Heather C. Whalley

doi:10.1007/s11682-013-9269-5

The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

Alzheimer's Dis Neuroimaging, EPIGEN Consortium, IMAGEN Consortium, Saguenay Youth Study SYS Grp, Paul M. Thompson^*, Jason L. Stein, Sarah E. Medland, Derrek P. Hibar, Alejandro Arias Vasquez, Miguel E. Renteria, Roberto Toro, Neda Jahanshad, Gunter Schumann, Barbara Franke, Margaret J. Wright, Nicholas G. Martin, Ingrid Agartz, Martin Alda, Saud Alhusaini, Laura AlmasyJorge Almeida, Kathryn Alpert, Nancy C. Andreasen, Ole A. Andreassen, Liana G. Apostolova, Katja Appel, Nicola J. Armstrong, Benjamin Aribisala, Mark E. Bastin, Michael Bauer, Carrie E. Bearden, Orjan Bergmann, Elisabeth B. Binder, John Blangero, Henry J. Bockholt, Erlend Boen, Catherine Bois, Dorret I. Boomsma, Tom Booth, Ian J. Bowman, Janita Bralten, Ian J. Deary, Jeremy Hall, Stephen M. Lawrie, David C. Liewald, Lorna M. Lopez, Michelle Luciano, Andrew M. McIntosh, Natalie A. Royle, Colin Smith, John M. Starr, Jessika Sussmann, Joanna M. Wardlaw, Heather C. Whalley

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	153-182
Number of pages	30
Journal	Brain imaging and behavior
Volume	8
Issue number	2
Early online date	8 Jan 2014
DOIs	https://doi.org/10.1007/s11682-013-9269-5
Publication status	Published - Jun 2014

Keywords / Materials (for Non-textual outputs)

Genetics
MRI
GWAS
Consortium
Meta-analysis
Multi-site
GENOME-WIDE ASSOCIATION
CORTICAL SURFACE-AREA
WHITE-MATTER MICROSTRUCTURE
MULTIVARIATE PARALLEL ICA
TENSOR-BASED MORPHOMETRY
QUANTITATIVE TRAIT LOCI
VOXEL-BASED MORPHOMETRY
HUMAN BRAIN STRUCTURE
DISEASE RISK VARIANT
BODY-MASS INDEX

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10.1007/s11682-013-9269-5

The ENIGMA Consortium large-scale collaborative analyses of neuroimaging and genetic data
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.
Final published version, 1.04 MBLicence: Creative Commons: Attribution (CC-BY)

http://link.springer.com/article/10.1007%2Fs11682-013-9269-5

Centre for Cognitive Ageing and Cognitive Epidemiology Phase 2.
Maclullich, A. (Principal Investigator)
1/09/13 → 31/08/19
Project: Research
RA2661 Centre for Cognitive Ageing and Cognitive Epidemiology Phase 2. Main Budget.
Deary, I. (Principal Investigator), Gale, C. (Co-investigator), Holmes, M. (Co-investigator), Logie, P. (Co-investigator), Maclullich, A. (Co-investigator), Porteous, D. (Co-investigator), Seckl, J. (Co-investigator), Starr, J. (Co-investigator), Wardlaw, J. (Co-investigator) & Okely, J. (Researcher)
1/09/13 → 31/08/19
Project: Research
Brain White mater imaging and cognitive ageing in the Lothian Birth Cohort of 1936:II
Deary, I. (Principal Investigator), Bastin, M. (Co-investigator), Penke, L. (Co-investigator), Starr, J. (Co-investigator) & Wardlaw, J. (Co-investigator)
MRC
8/06/11 → 7/03/15
Project: Research

Cite this

Alzheimer's Dis Neuroimaging, EPIGEN Consortium, IMAGEN Consortium, Saguenay Youth Study SYS Grp, Thompson, P. M., Stein, J. L., Medland, S. E., Hibar, D. P., Vasquez, A. A., Renteria, M. E., Toro, R., Jahanshad, N., Schumann, G., Franke, B., Wright, M. J., Martin, N. G., Agartz, I., Alda, M., Alhusaini, S., ... Whalley, H. C. (2014). The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data. Brain imaging and behavior, 8(2), 153-182. https://doi.org/10.1007/s11682-013-9269-5

@article{3403265196944b78a8580cf187d52838,

title = "The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data",

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.",

keywords = "Genetics, MRI, GWAS, Consortium, Meta-analysis, Multi-site, GENOME-WIDE ASSOCIATION, CORTICAL SURFACE-AREA, WHITE-MATTER MICROSTRUCTURE, MULTIVARIATE PARALLEL ICA, TENSOR-BASED MORPHOMETRY, QUANTITATIVE TRAIT LOCI, VOXEL-BASED MORPHOMETRY, HUMAN BRAIN STRUCTURE, DISEASE RISK VARIANT, BODY-MASS INDEX",

author = "{Alzheimer's Dis Neuroimaging} and {EPIGEN Consortium} and {IMAGEN Consortium} and {Saguenay Youth Study SYS Grp} and Thompson, {Paul M.} and Stein, {Jason L.} and Medland, {Sarah E.} and Hibar, {Derrek P.} and Vasquez, {Alejandro Arias} and Renteria, {Miguel E.} and Roberto Toro and Neda Jahanshad and Gunter Schumann and Barbara Franke and Wright, {Margaret J.} and Martin, {Nicholas G.} and Ingrid Agartz and Martin Alda and Saud Alhusaini and Laura Almasy and Jorge Almeida and Kathryn Alpert and Andreasen, {Nancy C.} and Andreassen, {Ole A.} and Apostolova, {Liana G.} and Katja Appel and Armstrong, {Nicola J.} and Benjamin Aribisala and Bastin, {Mark E.} and Michael Bauer and Bearden, {Carrie E.} and Orjan Bergmann and Binder, {Elisabeth B.} and John Blangero and Bockholt, {Henry J.} and Erlend Boen and Catherine Bois and Boomsma, {Dorret I.} and Tom Booth and Bowman, {Ian J.} and Janita Bralten and Deary, {Ian J.} and Jeremy Hall and Lawrie, {Stephen M.} and Liewald, {David C.} and Lopez, {Lorna M.} and Michelle Luciano and McIntosh, {Andrew M.} and Royle, {Natalie A.} and Colin Smith and Starr, {John M.} and Jessika Sussmann and Wardlaw, {Joanna M.} and Whalley, {Heather C.}",

year = "2014",

month = jun,

doi = "10.1007/s11682-013-9269-5",

language = "English",

volume = "8",

pages = "153--182",

journal = "Brain imaging and behavior",

issn = "1931-7557",

publisher = "Springer",

number = "2",

}

Alzheimer's Dis Neuroimaging, EPIGEN Consortium, IMAGEN Consortium, Saguenay Youth Study SYS Grp, Thompson, PM, Stein, JL, Medland, SE, Hibar, DP, Vasquez, AA, Renteria, ME, Toro, R, Jahanshad, N, Schumann, G, Franke, B, Wright, MJ, Martin, NG, Agartz, I, Alda, M, Alhusaini, S, Almasy, L, Almeida, J, Alpert, K, Andreasen, NC, Andreassen, OA, Apostolova, LG, Appel, K, Armstrong, NJ, Aribisala, B, Bastin, ME, Bauer, M, Bearden, CE, Bergmann, O, Binder, EB, Blangero, J, Bockholt, HJ, Boen, E, Bois, C, Boomsma, DI, Booth, T, Bowman, IJ, Bralten, J, Deary, IJ, Hall, J, Lawrie, SM, Liewald, DC, Lopez, LM, Luciano, M , McIntosh, AM, Royle, NA, Smith, C, Starr, JM, Sussmann, J, Wardlaw, JM & Whalley, HC 2014, 'The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data', Brain imaging and behavior, vol. 8, no. 2, pp. 153-182. https://doi.org/10.1007/s11682-013-9269-5

TY - JOUR

T1 - The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

AU - Alzheimer's Dis Neuroimaging

AU - EPIGEN Consortium

AU - IMAGEN Consortium

AU - Saguenay Youth Study SYS Grp

AU - Thompson, Paul M.

AU - Stein, Jason L.

AU - Medland, Sarah E.

AU - Hibar, Derrek P.

AU - Vasquez, Alejandro Arias

AU - Renteria, Miguel E.

AU - Toro, Roberto

AU - Jahanshad, Neda

AU - Schumann, Gunter

AU - Franke, Barbara

AU - Wright, Margaret J.

AU - Martin, Nicholas G.

AU - Agartz, Ingrid

AU - Alda, Martin

AU - Alhusaini, Saud

AU - Almasy, Laura

AU - Almeida, Jorge

AU - Alpert, Kathryn

AU - Andreasen, Nancy C.

AU - Andreassen, Ole A.

AU - Apostolova, Liana G.

AU - Appel, Katja

AU - Armstrong, Nicola J.

AU - Aribisala, Benjamin

AU - Bastin, Mark E.

AU - Bauer, Michael

AU - Bearden, Carrie E.

AU - Bergmann, Orjan

AU - Binder, Elisabeth B.

AU - Blangero, John

AU - Bockholt, Henry J.

AU - Boen, Erlend

AU - Bois, Catherine

AU - Boomsma, Dorret I.

AU - Booth, Tom

AU - Bowman, Ian J.

AU - Bralten, Janita

AU - Deary, Ian J.

AU - Hall, Jeremy

AU - Lawrie, Stephen M.

AU - Liewald, David C.

AU - Lopez, Lorna M.

AU - Luciano, Michelle

AU - McIntosh, Andrew M.

AU - Royle, Natalie A.

AU - Smith, Colin

AU - Starr, John M.

AU - Sussmann, Jessika

AU - Wardlaw, Joanna M.

AU - Whalley, Heather C.

PY - 2014/6

Y1 - 2014/6

N2 - 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.

AB - 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.

KW - Genetics

KW - MRI

KW - GWAS

KW - Consortium

KW - Meta-analysis

KW - Multi-site

KW - GENOME-WIDE ASSOCIATION

KW - CORTICAL SURFACE-AREA

KW - WHITE-MATTER MICROSTRUCTURE

KW - MULTIVARIATE PARALLEL ICA

KW - TENSOR-BASED MORPHOMETRY

KW - QUANTITATIVE TRAIT LOCI

KW - VOXEL-BASED MORPHOMETRY

KW - HUMAN BRAIN STRUCTURE

KW - DISEASE RISK VARIANT

KW - BODY-MASS INDEX

U2 - 10.1007/s11682-013-9269-5

DO - 10.1007/s11682-013-9269-5

M3 - Article

C2 - 24399358

SN - 1931-7557

VL - 8

SP - 153

EP - 182

JO - Brain imaging and behavior

JF - Brain imaging and behavior

IS - 2

ER -

The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

Abstract

Keywords / Materials (for Non-textual outputs)

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Projects

Centre for Cognitive Ageing and Cognitive Epidemiology Phase 2.

RA2661 Centre for Cognitive Ageing and Cognitive Epidemiology Phase 2. Main Budget.

Brain White mater imaging and cognitive ageing in the Lothian Birth Cohort of 1936:II

Cite this