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Identification of common genetic risk variants for autism spectrum disorder.

Authors :
Grove J
Ripke S
Als TD
Mattheisen M
Walters RK
Won H
Pallesen J
Agerbo E
Andreassen OA
Anney R
Awashti S
Belliveau R
Bettella F
Buxbaum JD
Bybjerg-Grauholm J
Bækvad-Hansen M
Cerrato F
Chambert K
Christensen JH
Churchhouse C
Dellenvall K
Demontis D
De Rubeis S
Devlin B
Djurovic S
Dumont AL
Goldstein JI
Hansen CS
Hauberg ME
Hollegaard MV
Hope S
Howrigan DP
Huang H
Hultman CM
Klei L
Maller J
Martin J
Martin AR
Moran JL
Nyegaard M
Nærland T
Palmer DS
Palotie A
Pedersen CB
Pedersen MG
dPoterba T
Poulsen JB
Pourcain BS
Qvist P
Rehnström K
Reichenberg A
Reichert J
Robinson EB
Roeder K
Roussos P
Saemundsen E
Sandin S
Satterstrom FK
Davey Smith G
Stefansson H
Steinberg S
Stevens CR
Sullivan PF
Turley P
Walters GB
Xu X
Stefansson K
Geschwind DH
Nordentoft M
Hougaard DM
Werge T
Mors O
Mortensen PB
Neale BM
Daly MJ
Børglum AD
Source :
Nature genetics [Nat Genet] 2019 Mar; Vol. 51 (3), pp. 431-444. Date of Electronic Publication: 2019 Feb 25.
Publication Year :
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

Language :
English
ISSN :
1546-1718
Volume :
51
Issue :
3
Database :
MEDLINE
Journal :
Nature genetics
Publication Type :
Academic Journal
Accession number :
30804558
Full Text :
https://doi.org/10.1038/s41588-019-0344-8