Abstract
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) <1.15). Methods: We conducted a large-scale coordinated international collaboration to combine independent genotyping data to improve the statistical power and aid in robust discovery of GWS loci. This study uses genome-wide genotyping data from a discovery sample (7387 ASD cases and 8567 controls) followed by meta-analysis of summary statistics from two replication sets (7783 ASD cases and 11359 controls; and 1369 ASD cases and 137308 controls). Results: We observe a GWS locus at 10q24.32 that overlaps several genes including PITX3, which encodes a transcription factor identified as playing a role in neuronal differentiation and CUEDC2 previously reported to be associated with social skills in an independent population cohort. We also observe overlap with regions previously implicated in schizophrenia which was further supported by a strong genetic correlation between these disorders (Rg = 0.23; P = 9 × 10-6). We further combined these Psychiatric Genomics Consortium (PGC) ASD GWAS data with the recent PGC schizophrenia GWAS to identify additional regions which may be important in a common neurodevelopmental phenotype and identified 12 novel GWS loci. These include loci previously implicated in ASD such as FOXP1 at 3p13, ATP2B2 at 3p25.3, and a 'neurodevelopmental hub' on chromosome 8p11.23. Conclusions: This study is an important step in the ongoing endeavour to identify the loci which underpin the common variant signal in ASD. In addition to novel GWS loci, we have identified a significant genetic correlation with schizophrenia and association of ASD with several neurodevelopmental-related genes such as EXT1, ASTN2, MACROD2, and HDAC4.
Original language | English (US) |
---|---|
Article number | 21 |
Journal | Molecular Autism |
Volume | 8 |
Issue number | 1 |
DOIs | |
State | Published - May 22 2017 |
Keywords
- Autism spectrum disorder
- Gene-set analysis
- Genetic correlation
- Genome-wide association study
- Heritability
- Meta-analysis
- Neurodevelopment
- Schizophrenia
ASJC Scopus subject areas
- Molecular Biology
- Developmental Neuroscience
- Developmental Biology
- Psychiatry and Mental health
Access to Document
Other files and links
Fingerprint
Dive into the research topics of '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'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS
In: Molecular Autism, Vol. 8, No. 1, 21, 22.05.2017.
Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - 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
AU - Anney, Richard J.L.
AU - Ripke, Stephan
AU - Anttila, Verneri
AU - Grove, Jakob
AU - Holmans, Peter
AU - Huang, Hailiang
AU - Klei, Lambertus
AU - Lee, Phil H.
AU - Medland, Sarah E.
AU - Neale, Benjamin
AU - Robinson, Elise
AU - Weiss, Lauren A.
AU - Zwaigenbaum, Lonnie
AU - Yu, Timothy W.
AU - Wittemeyer, Kerstin
AU - Willsey, A. Jeremy
AU - Wijsman, Ellen M.
AU - Werge, Thomas
AU - Wassink, Thomas H.
AU - Waltes, Regina
AU - Walsh, Christopher A.
AU - Wallace, Simon
AU - Vorstman, Jacob A.S.
AU - Vieland, Veronica J.
AU - Vicente, Astrid M.
AU - Vanengeland, Herman
AU - Tsang, Kathryn
AU - Thompson, Ann P.
AU - Szatmari, Peter
AU - Svantesson, Oscar
AU - Steinberg, Stacy
AU - Stefansson, Kari
AU - Stefansson, Hreinn
AU - State, Matthew W.
AU - Soorya, Latha
AU - Silagadze, Teimuraz
AU - Scherer, Stephen W.
AU - Schellenberg, Gerard D.
AU - Sandin, Sven
AU - Sanders, Stephan J.
AU - Saemundsen, Evald
AU - Rouleau, Guy A.
AU - Rogé, Bernadette
AU - Roeder, Kathryn
AU - Roberts, Wendy
AU - Reichert, Jennifer
AU - Reichenberg, Abraham
AU - Rehnström, Karola
AU - Regan, Regina
AU - Poustka, Fritz
AU - Poultney, Christopher S.
AU - Piven, Joseph
AU - Pinto, Dalila
AU - Pericak-Vance, Margaret A.
AU - Pejovic-Milovancevic, Milica
AU - Pedersen, Marianne Giørtz
AU - Pedersen, Carsten Bøcker
AU - Paterson, Andrew D.
AU - Parr, Jeremy R.
AU - Pagnamenta, Alistair T.
AU - Oliveira, Guiomar
AU - Nurnberger, John I.
AU - Nordentoft, Merete
AU - Murtha, Michael T.
AU - Mouga, Susana
AU - Mortensen, Preben Bo
AU - Mors, Ole
AU - Morrow, Eric M.
AU - Moreno-De-Luca, Daniel
AU - Monaco, Anthony P.
AU - Minshew, Nancy
AU - Merikangas, Alison
AU - McMahon, William M.
AU - McGrew, Susan G.
AU - Mattheisen, Manuel
AU - Martsenkovsky, Igor
AU - Martin, Donna M.
AU - Mane, Shrikant M.
AU - Magnusson, Pall
AU - Magalhaes, Tiago
AU - Maestrini, Elena
AU - Lowe, Jennifer K.
AU - Lord, Catherine
AU - Levitt, Pat
AU - Martin, Christa Lese
AU - Ledbetter, David H.
AU - Leboyer, Marion
AU - Lecouteur, Ann S.
AU - Ladd-Acosta, Christine
AU - Kolevzon, Alexander
AU - Klauck, Sabine M.
AU - Jacob, Suma
AU - Iliadou, Bozenna
AU - Hultman, Christina M.
AU - Hougaard, David M.
AU - Hertz-Picciotto, Irva
AU - Hendren, Robert
AU - Hansen, Christine Søholm
AU - Haines, Jonathan L.
AU - Guter, Stephen J.
AU - Grice, Dorothy E.
AU - Green, Jonathan M.
AU - Green, Andrew
AU - Goldberg, Arthur P.
AU - Gillberg, Christopher
AU - Gilbert, John
AU - Gallagher, Louise
AU - Freitag, Christine M.
AU - Fombonne, Eric
AU - Folstein, Susan E.
AU - Fernandez, Bridget
AU - Fallin, M. Daniele
AU - Ercan-Sencicek, A. Gulhan
AU - Ennis, Sean
AU - Duque, Frederico
AU - Duketis, Eftichia
AU - Delorme, Richard
AU - Derubeis, Silvia
AU - Dejonge, Maretha V.
AU - Dawson, Geraldine
AU - Cuccaro, Michael L.
AU - Correia, Catarina T.
AU - Conroy, Judith
AU - Conceição, Ines C.
AU - Chiocchetti, Andreas G.
AU - Celestino-Soper, Patrícia B.S.
AU - Casey, Jillian
AU - Cantor, Rita M.
AU - Café, Cátia
AU - Bybjerg-Grauholm, Jonas
AU - Brennan, Sean
AU - Bourgeron, Thomas
AU - Bolton, Patrick F.
AU - Bölte, Sven
AU - Bolshakova, Nadia
AU - Betancur, Catalina
AU - Bernier, Raphael
AU - Beaudet, Arthur L.
AU - Battaglia, Agatino
AU - Bal, Vanessa H.
AU - Baird, Gillian
AU - Bailey, Anthony J.
AU - Bækvad-Hansen, Marie
AU - Bader, Joel S.
AU - Bacchelli, Elena
AU - Anagnostou, Evdokia
AU - Amaral, David
AU - Almeida, Joana
AU - Børglum, Anders D.
AU - Buxbaum, Joseph D.
AU - Chakravarti, Aravinda
AU - Cook, Edwin H.
AU - Coon, Hilary
AU - Geschwind, Daniel H.
AU - Gill, Michael
AU - Hallmayer, Joachim
AU - Palotie, Aarno
AU - Santangelo, Susan
AU - Sutcliffe, James S.
AU - Arking, Dan E.
AU - Devlin, Bernie
AU - Daly, Mark J.
AU - Hakonarson, Hakon
N1 - Funding Information: The Autism Working Group of the Psychiatric Genomics Consortium was supported by National Institutes of Mental Health (NIMH, USA) grant MH109539, MH094432 and MH094421 to M.J.D. The ACE Network was supported by MH081754 and MH100027 to D.H.G. The Autism Genetic Resource Exchange (AGRE) is a program of Autism Speaks (USA) and was supported by grant MH081810. The Autism Genome Project (AGP) was supported by grants from Autism Speaks, the Canadian Institutes of Health Research (CIHR), Genome Canada, the Health Research Board (Ireland; AUT/ 2006/1, AUT/2006/2, PD/2006/48), the Hilibrand Foundation (USA), the Medical Research Council (UK), the National Institutes of Health (USA; the National Institute of Child Health and Human Development and the National Institute of Mental Health), the Ontario Genomics Institute, and the University of Toronto McLaughlin Centre. The Simons Simplex Collection (SSC) was supported by a grant from the Simons Foundation (SFARI 124827 to the investigators of the Simons Simplex Collection Genetic Consortium); approved researchers can obtain the SSC population dataset described in this study (http://sfari.org/resources/sfari-base) by applying at https:// base.sfari.org. The Gene Discovery Project of Johns Hopkins was funded by MH060007, MH081754, and the Simons Foundation. The MonBos Collection study was funded in part through a grant from the Autism Consortium of Boston. Support for the Extreme Discordant Sib-Pair (EDSP) family sample (part of the MonBos collection) was provided by the NLM Family foundation. Support for the Massachusetts General Hospital (MGH)–Finnish collaborative sample was provided by NARSAD. The PAGES collection was funded by NIMH grant MH097849. The collection of data and biomaterials that participated in the NIMH Autism Genetics Initiative has been supported by National Institute of Health grants MH52708, MH39437, MH00219, and MH00980; National Health Medical Research Council grant 0034328; and by grants from the Scottish Rite, the Spunk Fund, Inc., the Rebecca and Solomon Baker Fund, the APEX Foundation, the National Alliance for Research in Schizophrenia and Affective Disorders (NARSAD), the endowment fund of the Nancy Pritzker Laboratory (Stanford); and by gifts from the Autism Society of America, the Janet M. Grace Pervasive Developmental Disorders Fund, and families and friends of individuals with autism. The iPSYCH project is funded by The Lundbeck Foundation and the universities and university hospitals of Aarhus and Copenhagen. In addition, the genotyping of iPSYCH samples was supported by grants from the Stanley Foundation, the Simons Foundation (SFARI 311789 to MJD), and NIMH (5U01MH094432-02 to MJD). The Study to Explore Early Development (SEED) was funded by the Centers for Disease Control and Prevention (CDC) grants U10DD000180, U10DD000181, U10DD000182, U10DD000183, U10DD000184, and U10DD000498. Statistical analyses were carried out on the Genetic Cluster Computer (http:// www.geneticcluster.org) hosted by SURFsara and financially supported by the Netherlands Scientific Organization (NWO 480-05-003), along with a supplement from the Dutch Brain Foundation and the VU University Amsterdam. Additional statistical analyses were performed and supported by the Trinity Centre for High Performance Computing (http://www.tchpc.tcd.ie/) funded through Science Foundation Ireland. Computational support for the PAGES collection was provided in part through the computational resources and staff expertise of the Department of Scientific Computing at the Icahn School of Medicine at Mount Sinai (https://hpc.mssm.edu). Data QC and statistical analyses of the iPSYCH samples were performed at the high-performance computing cluster GenomeDK (http://genome.au.dk) at the Center for Integrative Sequencing, iSEQ, Aarhus University. iSEQ provided computed time, data storage, and technical support for the study. Publisher Copyright: © 2017 The Author(s).
PY - 2017/5/22
Y1 - 2017/5/22
N2 - 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) <1.15). Methods: We conducted a large-scale coordinated international collaboration to combine independent genotyping data to improve the statistical power and aid in robust discovery of GWS loci. This study uses genome-wide genotyping data from a discovery sample (7387 ASD cases and 8567 controls) followed by meta-analysis of summary statistics from two replication sets (7783 ASD cases and 11359 controls; and 1369 ASD cases and 137308 controls). Results: We observe a GWS locus at 10q24.32 that overlaps several genes including PITX3, which encodes a transcription factor identified as playing a role in neuronal differentiation and CUEDC2 previously reported to be associated with social skills in an independent population cohort. We also observe overlap with regions previously implicated in schizophrenia which was further supported by a strong genetic correlation between these disorders (Rg = 0.23; P = 9 × 10-6). We further combined these Psychiatric Genomics Consortium (PGC) ASD GWAS data with the recent PGC schizophrenia GWAS to identify additional regions which may be important in a common neurodevelopmental phenotype and identified 12 novel GWS loci. These include loci previously implicated in ASD such as FOXP1 at 3p13, ATP2B2 at 3p25.3, and a 'neurodevelopmental hub' on chromosome 8p11.23. Conclusions: This study is an important step in the ongoing endeavour to identify the loci which underpin the common variant signal in ASD. In addition to novel GWS loci, we have identified a significant genetic correlation with schizophrenia and association of ASD with several neurodevelopmental-related genes such as EXT1, ASTN2, MACROD2, and HDAC4.
AB - 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) <1.15). Methods: We conducted a large-scale coordinated international collaboration to combine independent genotyping data to improve the statistical power and aid in robust discovery of GWS loci. This study uses genome-wide genotyping data from a discovery sample (7387 ASD cases and 8567 controls) followed by meta-analysis of summary statistics from two replication sets (7783 ASD cases and 11359 controls; and 1369 ASD cases and 137308 controls). Results: We observe a GWS locus at 10q24.32 that overlaps several genes including PITX3, which encodes a transcription factor identified as playing a role in neuronal differentiation and CUEDC2 previously reported to be associated with social skills in an independent population cohort. We also observe overlap with regions previously implicated in schizophrenia which was further supported by a strong genetic correlation between these disorders (Rg = 0.23; P = 9 × 10-6). We further combined these Psychiatric Genomics Consortium (PGC) ASD GWAS data with the recent PGC schizophrenia GWAS to identify additional regions which may be important in a common neurodevelopmental phenotype and identified 12 novel GWS loci. These include loci previously implicated in ASD such as FOXP1 at 3p13, ATP2B2 at 3p25.3, and a 'neurodevelopmental hub' on chromosome 8p11.23. Conclusions: This study is an important step in the ongoing endeavour to identify the loci which underpin the common variant signal in ASD. In addition to novel GWS loci, we have identified a significant genetic correlation with schizophrenia and association of ASD with several neurodevelopmental-related genes such as EXT1, ASTN2, MACROD2, and HDAC4.
KW - Autism spectrum disorder
KW - Gene-set analysis
KW - Genetic correlation
KW - Genome-wide association study
KW - Heritability
KW - Meta-analysis
KW - Neurodevelopment
KW - Schizophrenia
UR - http://www.scopus.com/inward/record.url?scp=85019753129&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85019753129&partnerID=8YFLogxK
U2 - 10.1186/s13229-017-0137-9
DO - 10.1186/s13229-017-0137-9
M3 - Article
C2 - 28540026
AN - SCOPUS:85019753129
SN - 2040-2392
VL - 8
JO - Molecular Autism
JF - Molecular Autism
IS - 1
M1 - 21
ER -