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Identification of common genetic risk variants for autism spectrum disorder

Authors :
Grove, Jakob
Ripke, Stephan
Als, Thomas D
Mattheisen, Manuel
Walters, Raymond K
Won, Hyejung
Pallesen, Jonatan
Agerbo, Esben
Andreassen, Ole A
Anney, Richard
Awashti, Swapnil
Belliveau, Rich
Bettella, Francesco
Buxbaum, Joseph D
Bybjerg-Grauholm, Jonas
Bækvad-Hansen, Marie
Cerrato, Felecia
Chambert, Kimberly
Christensen, Jane H
Churchhouse, Claire
Dellenvall, Karin
Demontis, Ditte
De Rubeis, Silvia
Devlin, Bernie
Djurovic, Srdjan
Dumont, Ashley L
Goldstein, Jacqueline I
Hansen, Christine S
Hauberg, Mads Engel
Hollegaard, Mads V
Hope, Sigrun
Howrigan, Daniel P
Huang, Hailiang
Hultman, Christina M
Klei, Lambertus
Maller, Julian
Martin, Joanna
Martin, Alicia R
Moran, Jennifer L
Nyegaard, Mette
Nærland, Terje
Palmer, Duncan S
Palotie, Aarno
Pedersen, Carsten Bøcker
Pedersen, Marianne Giørtz
dPoterba, Timothy
Poulsen, Jesper Buchhave
Pourcain, Beate St
Qvist, Per
Rehnström, Karola
Reichenberg, Abraham
Reichert, Jennifer
Robinson, Elise B
Roeder, Kathryn
Roussos, Panos
Saemundsen, Evald
Sandin, Sven
Satterstrom, F Kyle
Davey Smith, George
Stefansson, Hreinn
Steinberg, Stacy
Stevens, Christine R
Sullivan, Patrick F
Turley, Patrick
Walters, G Bragi
Xu, Xinyi
Autism Spectrum Disorder Working Group of the Psychiatric Genomics Consortium
BUPGEN
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
23andMe Research Team
Stefansson, Kari
Geschwind, Daniel H
Nordentoft, Merete
Hougaard, David M
Werge, Thomas
Mors, Ole
Mortensen, Preben Bo
Neale, Benjamin M
Daly, Mark J
Børglum, Anders D
Source :
Nature genetics, vol 51, iss 3
Publication Year :
2019
Publisher :
eScholarship, University of California, 2019.

Abstract

Autism spectrum disorder (ASD) is a highly heritable and heterogeneous group of neurodevelopmental phenotypes diagnosed in more than 1% of children. Common genetic variants contribute substantially to ASD susceptibility, but to date no individual variants have been robustly associated with ASD. With a marked sample-size increase from a unique Danish population resource, we report a genome-wide association meta-analysis of 18,381 individuals with ASD and 27,969 controls that identified five genome-wide-significant loci. Leveraging GWAS results from three phenotypes with significantly overlapping genetic architectures (schizophrenia, major depression, and educational attainment), we identified seven additional loci shared with other traits at equally strict significance levels. Dissecting the polygenic architecture, we found both quantitative and qualitative polygenic heterogeneity across ASD subtypes. These results highlight biological insights, particularly relating to neuronal function and corticogenesis, and establish that GWAS performed at scale will be much more productive in the near term in ASD.

Details

Database :
OpenAIRE
Journal :
Nature genetics, vol 51, iss 3
Accession number :
edsair.dedup.wf.001..691eb1d7680f90e341d947bf0ecb819a