The genetic architecture of the human cerebral cortex.

Alzheimer's Disease Neuroimaging Initiative; CHARGE consortium; EPIGEN consortium; IMAGEN consortium; SYS consortium; Parkinson’s Progression Markers Initiative; Enhancing NeuroImaging Genetics through Meta-Analysis Consortium - Genetics working group

doi:10.1101/399402

The genetic architecture of the human cerebral cortex.

Alzheimer's Disease Neuroimaging Initiative, CHARGE consortium, EPIGEN consortium, IMAGEN consortium, SYS consortium, Parkinson’s Progression Markers Initiative, Enhancing NeuroImaging Genetics through Meta-Analysis Consortium - Genetics working group

Psychiatry

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

Abstract

The cerebral cortex underlies our complex cognitive capabilities, yet we know little about the specific genetic loci influencing human cortical structure. To identify genetic variants, including structural variants, impacting cortical structure, we conducted a genome-wide association meta-analysis of brain MRI data from 51,662 individuals. We analysed the surface area and average thickness of the whole cortex and 34 regions with known functional specialisations. We identified 255 nominally significant loci (P ≤ 5 x 10^-8); 199 survived multiple testing correction (P ≤ 8.3 x 10^-10; 187 surface area; 12 thickness). We found significant enrichment for loci influencing total surface area within regulatory elements active during prenatal cortical development, supporting the radial unit hypothesis. Loci impacting regional surface area cluster near genes in Wnt signalling pathways, known to influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson’s disease, insomnia, depression and ADHD.

Original language	English
Journal	Unknown Journal
DOIs	https://doi.org/10.1101/399402
Publication status	Published - 03-09-2018

All Science Journal Classification (ASJC) codes

Biochemistry, Genetics and Molecular Biology(all)
Agricultural and Biological Sciences(all)
Immunology and Microbiology(all)
Neuroscience(all)
Pharmacology, Toxicology and Pharmaceutics(all)

Access to Document

10.1101/399402

Fingerprint Dive into the research topics of 'The genetic architecture of the human cerebral cortex.'. Together they form a unique fingerprint.

Cite this

@article{76c0aa6e9e894968ab075ad131ec57c9,

title = "The genetic architecture of the human cerebral cortex.",

abstract = "The cerebral cortex underlies our complex cognitive capabilities, yet we know little about the specific genetic loci influencing human cortical structure. To identify genetic variants, including structural variants, impacting cortical structure, we conducted a genome-wide association meta-analysis of brain MRI data from 51,662 individuals. We analysed the surface area and average thickness of the whole cortex and 34 regions with known functional specialisations. We identified 255 nominally significant loci (P ≤ 5 x 10-8); 199 survived multiple testing correction (P ≤ 8.3 x 10-10; 187 surface area; 12 thickness). We found significant enrichment for loci influencing total surface area within regulatory elements active during prenatal cortical development, supporting the radial unit hypothesis. Loci impacting regional surface area cluster near genes in Wnt signalling pathways, known to influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson{\textquoteright}s disease, insomnia, depression and ADHD.",

author = "{Alzheimer's Disease Neuroimaging Initiative} and {CHARGE consortium} and {EPIGEN consortium} and {IMAGEN consortium} and {SYS consortium} and {Parkinson{\textquoteright}s Progression Markers Initiative} and {Enhancing NeuroImaging Genetics through Meta-Analysis Consortium - Genetics working group} and Grasby, {Katrina L.} and Neda Jahanshad and Painter, {Jodie N.} and Luc{\'i}a Colodro-Conde and Janita Bralten and Hibar, {Derrek P.} and Lind, {Penelope A.} and Fabrizio Pizzagalli and Ching, {Christopher R.K.} and McMahon, {Mary Agnes B.} and Natalia Shatokhina and Zsembik, {Leo C.P.} and Ingrid Agartz and Saud Alhusaini and Almeida, {Marcio A.A.} and Dag Aln{\ae}s and Amlien, {Inge K.} and Micael Andersson and Tyler Ard and Armstrong, {Nicola J.} and Allison Ashley-Koch and Atkins, {Joshua R.} and Manon Bernard and Brouwer, {Rachel M.} and Buimer, {Elizabeth E.L.} and Robin B{\"u}low and Christian B{\"u}rger and Cannon, {Dara M.} and Mallar Chakravarty and Qiang Chen and Cheung, {Joshua W.} and Baptiste Couvy-Duchesne and Dale, {Anders M.} and Shareefa Dalvie and {de Araujo}, {T{\^a}nia K.} and {de Zubicaray}, {Greig I.} and {de Zwarte}, {Sonja M.C.} and {den Braber}, Anouk and Doan, {Nhat Trung} and Katharina Dohm and Stefan Ehrlich and Engelbrecht, {Hannah Ruth} and Susanne Erk and Fan, {Chun Chieh} and Fedko, {Iryna O.} and Foley, {Sonya F.} and Ford, {Judith M.} and Masaki Fukunaga and Garrett, {Melanie E.} and Masashi Ikeda",

note = "Publisher Copyright: The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",

year = "2018",

month = sep,

day = "3",

doi = "10.1101/399402",

language = "English",

journal = "Unknown Journal",

}

The genetic architecture of the human cerebral cortex. / Alzheimer's Disease Neuroimaging Initiative; CHARGE consortium; EPIGEN consortium; IMAGEN consortium; SYS consortium; Parkinson’s Progression Markers Initiative; Enhancing NeuroImaging Genetics through Meta-Analysis Consortium - Genetics working group.

In: Unknown Journal, 03.09.2018.

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

TY - JOUR

T1 - The genetic architecture of the human cerebral cortex.

AU - Alzheimer's Disease Neuroimaging Initiative

AU - CHARGE consortium

AU - EPIGEN consortium

AU - IMAGEN consortium

AU - SYS consortium

AU - Parkinson’s Progression Markers Initiative

AU - Enhancing NeuroImaging Genetics through Meta-Analysis Consortium - Genetics working group

AU - Grasby, Katrina L.

AU - Jahanshad, Neda

AU - Painter, Jodie N.

AU - Colodro-Conde, Lucía

AU - Bralten, Janita

AU - Hibar, Derrek P.

AU - Lind, Penelope A.

AU - Pizzagalli, Fabrizio

AU - Ching, Christopher R.K.

AU - McMahon, Mary Agnes B.

AU - Shatokhina, Natalia

AU - Zsembik, Leo C.P.

AU - Agartz, Ingrid

AU - Alhusaini, Saud

AU - Almeida, Marcio A.A.

AU - Alnæs, Dag

AU - Amlien, Inge K.

AU - Andersson, Micael

AU - Ard, Tyler

AU - Armstrong, Nicola J.

AU - Ashley-Koch, Allison

AU - Atkins, Joshua R.

AU - Bernard, Manon

AU - Brouwer, Rachel M.

AU - Buimer, Elizabeth E.L.

AU - Bülow, Robin

AU - Bürger, Christian

AU - Cannon, Dara M.

AU - Chakravarty, Mallar

AU - Chen, Qiang

AU - Cheung, Joshua W.

AU - Couvy-Duchesne, Baptiste

AU - Dale, Anders M.

AU - Dalvie, Shareefa

AU - de Araujo, Tânia K.

AU - de Zubicaray, Greig I.

AU - de Zwarte, Sonja M.C.

AU - den Braber, Anouk

AU - Doan, Nhat Trung

AU - Dohm, Katharina

AU - Ehrlich, Stefan

AU - Engelbrecht, Hannah Ruth

AU - Erk, Susanne

AU - Fan, Chun Chieh

AU - Fedko, Iryna O.

AU - Foley, Sonya F.

AU - Ford, Judith M.

AU - Fukunaga, Masaki

AU - Garrett, Melanie E.

AU - Ikeda, Masashi

N1 - Publisher Copyright: The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2018/9/3

Y1 - 2018/9/3

N2 - The cerebral cortex underlies our complex cognitive capabilities, yet we know little about the specific genetic loci influencing human cortical structure. To identify genetic variants, including structural variants, impacting cortical structure, we conducted a genome-wide association meta-analysis of brain MRI data from 51,662 individuals. We analysed the surface area and average thickness of the whole cortex and 34 regions with known functional specialisations. We identified 255 nominally significant loci (P ≤ 5 x 10-8); 199 survived multiple testing correction (P ≤ 8.3 x 10-10; 187 surface area; 12 thickness). We found significant enrichment for loci influencing total surface area within regulatory elements active during prenatal cortical development, supporting the radial unit hypothesis. Loci impacting regional surface area cluster near genes in Wnt signalling pathways, known to influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson’s disease, insomnia, depression and ADHD.

AB - The cerebral cortex underlies our complex cognitive capabilities, yet we know little about the specific genetic loci influencing human cortical structure. To identify genetic variants, including structural variants, impacting cortical structure, we conducted a genome-wide association meta-analysis of brain MRI data from 51,662 individuals. We analysed the surface area and average thickness of the whole cortex and 34 regions with known functional specialisations. We identified 255 nominally significant loci (P ≤ 5 x 10-8); 199 survived multiple testing correction (P ≤ 8.3 x 10-10; 187 surface area; 12 thickness). We found significant enrichment for loci influencing total surface area within regulatory elements active during prenatal cortical development, supporting the radial unit hypothesis. Loci impacting regional surface area cluster near genes in Wnt signalling pathways, known to influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson’s disease, insomnia, depression and ADHD.

UR - http://www.scopus.com/inward/record.url?scp=85095659172&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85095659172&partnerID=8YFLogxK

U2 - 10.1101/399402

DO - 10.1101/399402

M3 - Article

AN - SCOPUS:85095659172

JO - Unknown Journal

JF - Unknown Journal

ER -