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Meta-analysis of GWAS of over 16,000 individuals with autism spectrum disorder highlights a novel locus at 10q24.32 and a significant overlap with schizophrenia

Title: Meta-analysis of GWAS of over 16,000 individuals with autism spectrum disorder highlights a novel locus at 10q24.32 and a significant overlap with schizophrenia
Authors: Anney, RJL; Ripke, S; Anttila, V; Grove, J; Holmans, P; Huang, H; Klei, L; Lee, PH; Medland, SE; Neale, B; Robinson, E; Weiss, LA; Zwaigenbaum, L; Yu, TW; Wittemeyer, K; Willsey, AJ; Wijsman, EM; Werge, T; Wassink, TH; Waltes, R; Walsh, CA; Wallace, S; Vorstman, JAS; Vieland, VJ; Vicente, AM; vanEngeland, H; Tsang, K; Thompson, AP; Szatmari, P; Svantesson, O; Steinberg, S; Stefansson, K; Stefansson, H; State, MW; Soorya, L; Silagadze, T; Scherer, SW; Schellenberg, GD; Sandin, S; Sanders, SJ; Saemundsen, E; Rouleau, GA; Roge, B; Roeder, K; Roberts, W; Reichert, J; Reichenberg, A; Rehnstrom, K; Regan, R; Poustka, F; Poultney, CS; Piven, J; Pinto, D; Pericak-Vance, MA; Pejovic-Milovancevic, M; Pedersen, MG; Pedersen, CB; Paterson, AD; Parr, JR; Pagnamenta, AT; Oliveira, G; Nurnberger, JI; Nordentoft, M; Murtha, MT; Mouga, S; Mortensen, PB; Mors, O; Morrow, EM; Moreno-De-Luca, D; Monaco, AP; Minshew, N; Merikangas, A; McMahon, WM; McGrew, SG; Mattheisen, M; Martsenkovsky, I; Martin, DM; Mane, SM; Magnusson, P; Magalhaes, T; Maestrini, E; Lowe, JK; Lord, C; Levitt, P; LeseMartin, C; Ledbetter, DH; Leboyer, M; LeCouteur, AS; Ladd-Acosta, C; Kolevzon, A; Klauck, SM; Jacob, S; Iliadou, B; Hultman, CM; Hougaard, DM; Hertz-Picciotto, I; Hendren, R; Hansen, CS; Haines, JL; Guter, SJ; Grice, DE; Green, JM; Green, A; Goldberg, AP; Gillberg, C; Gilbert, J; Gallagher, L; Freitag, CM; Fombonne, E; Folstein, SE; Fernandez, B; Fallin, MD; Ercan-Sencicek, AG; Ennis, S; Duque, F; Duketis, E; Delorme, R; DeRubeis, S; DeJonge, MV; Dawson, G; Cuccaro, ML; Correia, CT; Conroy, J; Conceicao, IC; Chiocchetti, AG; Celestino-Soper, PBS; Casey, J; Cantor, RM; Cafe, C; Bybjerg-Grauholm, J; Brennan, S; Bourgeron, T; Bolton, PF; Boelte, S; Bolshakova, N; Betancur, C; Bernier, R; Beaudet, AL; Battaglia, A; Bal, VH; Baird, G; Bailey, AJ; Baekvad-Hansen, M; Bader, JS; Bacchelli, E; Anagnostou, E; Amaral, D; Almeida, J; Borglum, AD; Buxbaum, JD; Chakravarti, A; Cook, EH; Coon, H; Geschwind, DH; Gill, M; Hakonarson, H; Hallmayer, J; Palotie, A; Santangelo, S; Sutcliffe, JS; Arking, DE; Devlin, B; Daly, MJ
Publisher Information: BioMed Central
Publication Year: 2017
Collection: Oxford University Research Archive (ORA)
Description: Background Over the past decade genome-wide association studies (GWAS) have been applied to aid in the understanding of the biology of traits. The success of this approach is governed by the underlying effect sizes carried by the true risk variants and the corresponding statistical power to observe such effects given the study design and sample size under investigation. Previous ASD GWAS have identified genome-wide significant (GWS) risk loci; however, these studies were of only of low statistical power to identify GWS loci at the lower effect sizes (odds ratio (OR)
Document Type: article in journal/newspaper
Language: unknown
DOI: 10.1186/s13229-017-0137-9
Availability: https://doi.org/10.1186/s13229-017-0137-9; https://ora.ox.ac.uk/objects/uuid:b3470489-a415-43ee-bb73-67c268efbb47
Rights: info:eu-repo/semantics/openAccess ; CC Attribution (CC BY)
Accession Number: edsbas.5E626642
Database: BASE