Identification of common genetic risk variants for autism spectrum disorder.
dc.contributor.author | Grove, Jakob | |
dc.contributor.author | Ripke, Stephan | |
dc.contributor.author | Als, Thomas D | |
dc.contributor.author | Mattheisen, Manuel | |
dc.contributor.author | Walters, Raymond K | |
dc.contributor.author | Won, Hyejung | |
dc.contributor.author | Pallesen, Jonatan | |
dc.contributor.author | Agerbo, Esben | |
dc.contributor.author | Andreassen, Ole A | |
dc.contributor.author | Anney, Richard | |
dc.contributor.author | Awashti, Swapnil | |
dc.contributor.author | Belliveau, Rich | |
dc.contributor.author | Bettella, Francesco | |
dc.contributor.author | Buxbaum, Joseph D | |
dc.contributor.author | Bybjerg-Grauholm, Jonas | |
dc.contributor.author | Bækvad-Hansen, Marie | |
dc.contributor.author | Cerrato, Felecia | |
dc.contributor.author | Chambert, Kimberly | |
dc.contributor.author | Christensen, Jane H | |
dc.contributor.author | Churchhouse, Claire | |
dc.contributor.author | Dellenvall, Karin | |
dc.contributor.author | Demontis, Ditte | |
dc.contributor.author | De Rubeis, Silvia | |
dc.contributor.author | Devlin, Bernie | |
dc.contributor.author | Djurovic, Srdjan | |
dc.contributor.author | Dumont, Ashley L | |
dc.contributor.author | Goldstein, Jacqueline I | |
dc.contributor.author | Hansen, Christine S | |
dc.contributor.author | Hauberg, Mads Engel | |
dc.contributor.author | Hollegaard, Mads V | |
dc.contributor.author | Hope, Sigrun | |
dc.contributor.author | Howrigan, Daniel P | |
dc.contributor.author | Huang, Hailiang | |
dc.contributor.author | Hultman, Christina M | |
dc.contributor.author | Klei, Lambertus | |
dc.contributor.author | Maller, Julian | |
dc.contributor.author | Martin, Joanna | |
dc.contributor.author | Martin, Alicia R | |
dc.contributor.author | Moran, Jennifer L | |
dc.contributor.author | Nyegaard, Mette | |
dc.contributor.author | Nærland, Terje | |
dc.contributor.author | Palmer, Duncan S | |
dc.contributor.author | Palotie, Aarno | |
dc.contributor.author | Pedersen, Carsten Bøcker | |
dc.contributor.author | Pedersen, Marianne Giørtz | |
dc.contributor.author | dPoterba, Timothy | |
dc.contributor.author | Poulsen, Jesper Buchhave | |
dc.contributor.author | Pourcain, Beate St | |
dc.contributor.author | Qvist, Per | |
dc.contributor.author | Rehnström, Karola | |
dc.contributor.author | Reichenberg, Abraham | |
dc.contributor.author | Reichert, Jennifer | |
dc.contributor.author | Robinson, Elise B | |
dc.contributor.author | Roeder, Kathryn | |
dc.contributor.author | Roussos, Panos | |
dc.contributor.author | Saemundsen, Evald | |
dc.contributor.author | Sandin, Sven | |
dc.contributor.author | Satterstrom, F Kyle | |
dc.contributor.author | Davey Smith, George | |
dc.contributor.author | Stefansson, Hreinn | |
dc.contributor.author | Steinberg, Stacy | |
dc.contributor.author | Stevens, Christine R | |
dc.contributor.author | Sullivan, Patrick F | |
dc.contributor.author | Turley, Patrick | |
dc.contributor.author | Walters, G Bragi | |
dc.contributor.author | Xu, Xinyi | |
dc.contributor.author | Stefansson, Kari | |
dc.contributor.author | Geschwind, Daniel H | |
dc.contributor.author | Nordentoft, Merete | |
dc.contributor.author | Hougaard, David M | |
dc.contributor.author | Werge, Thomas | |
dc.contributor.author | Mors, Ole | |
dc.contributor.author | Mortensen, Preben Bo | |
dc.contributor.author | Neale, Benjamin M | |
dc.contributor.author | Daly, Mark J | |
dc.contributor.author | Børglum, Anders D | |
dc.date.accessioned | 2023-02-15T19:40:15Z | |
dc.date.available | 2023-02-15T19:40:15Z | |
dc.date.issued | 2019-02-25 | |
dc.identifier.citation | 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; 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 K, Geschwind DH, Nordentoft M, Hougaard DM, Werge T, Mors O, Mortensen PB, Neale BM, Daly MJ, Børglum AD. Identification of common genetic risk variants for autism spectrum disorder. Nat Genet. 2019 Mar;51(3):431-444. doi: 10.1038/s41588-019-0344-8. Epub 2019 Feb 25. PMID: 30804558; PMCID: PMC6454898. | en_US |
dc.identifier.eissn | 1546-1718 | |
dc.identifier.doi | 10.1038/s41588-019-0344-8 | |
dc.identifier.pmid | 30804558 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12648/8371 | |
dc.description.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. | |
dc.language.iso | en | en_US |
dc.relation.url | https://www.nature.com/articles/s41588-019-0344-8 | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Identification of common genetic risk variants for autism spectrum disorder. | en_US |
dc.type | Article/Review | en_US |
dc.source.journaltitle | Nature genetics | en_US |
dc.source.volume | 51 | |
dc.source.issue | 3 | |
dc.source.beginpage | 431 | |
dc.source.endpage | 444 | |
dc.source.country | United States | |
dc.source.country | United States | |
dc.source.country | United Kingdom | |
dc.source.country | United States | |
dc.source.country | United States | |
dc.source.country | United Kingdom | |
dc.source.country | United Kingdom | |
dc.source.country | United States | |
dc.source.country | United States | |
dc.source.country | United States | |
dc.source.country | United Kingdom | |
dc.source.country | United Kingdom | |
dc.source.country | United Kingdom | |
dc.source.country | United States | |
dc.source.country | United States | |
dc.source.country | United Kingdom | |
dc.source.country | United States | |
dc.source.country | United States | |
dc.source.country | United States | |
dc.description.version | AM | en_US |
refterms.dateFOA | 2023-02-15T19:40:15Z | |
html.description.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. | |
dc.description.institution | SUNY Downstate | en_US |
dc.description.department | Psychiatry and Behavioral Sciences | en_US |
dc.description.department | Institute for Genomics in Health | en_US |
dc.description.degreelevel | N/A | en_US |
dc.identifier.journal | Nature genetics |