Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection

Antonio F. Pardiñas(Cardiff University), Peter Holmans(Cardiff University), Andrew Pocklington(Cardiff University), Valentina Escott‐Price(Cardiff University), Stephan Ripke(Massachusetts General Hospital), Noa Carrera(Cardiff University), Sophie E. Legge(Cardiff University), Sophie Bishop(Cardiff University), Darren Cameron(Cardiff University), Marian L. Hamshere(Cardiff University), Jun Han(Cardiff University), Leon Hubbard(Cardiff University), Amy Lynham(Cardiff University), Kiran K. Mantripragada(Cardiff University), Elliott Rees(Cardiff University), James H. MacCabe(King's College London), Steven A. McCarroll(Broad Institute), Bernhard T. Baune(The University of Adelaide), Gerome Breen(King's College London), Enda M. Byrne(The University of Queensland), Udo Dannlowski(University of Münster), Thalia C. Eley(King's College London), Caroline Hayward(Institute of Genetics and Cancer), Nicholas G. Martin(The University of Queensland), Andrew M. McIntosh(University of Edinburgh), Robert Plomin(King's College London), David J. Porteous(Institute of Genetics and Cancer), Naomi R. Wray(The University of Queensland), Armando Caballero(Universidade de Vigo), Daniel H. Geschwind(University of California, Los Angeles), Laura M. Huckins(Icahn School of Medicine at Mount Sinai), Douglas M. Ruderfer(Icahn School of Medicine at Mount Sinai), Enrique Santiago(Universidad de Oviedo), Pamela Sklar(Icahn School of Medicine at Mount Sinai), Eli A. Stahl(Icahn School of Medicine at Mount Sinai), Hyejung Won(University of California, Los Angeles), Esben Agerbo(Aarhus University), Thomas D. Als(Aarhus University), Ole A. Andreassen(Oslo University Hospital), Marie Bækvad‐Hansen(Statens Serum Institut), Preben Bo Mortensen(Aarhus University), Carsten Bøcker Pedersen(Aarhus University), Anders D. Børglum(Aarhus University), Jonas Bybjerg‐Grauholm(Statens Serum Institut), Srdjan Djurovic(Oslo University Hospital), Naser Durmishi(University Clinic of Traumatology), Marianne Giørtz Pedersen(Aarhus University), В. Е. Голимбет(Mental Health Research Center of Russian Academy of Medical Sciences), Jakob Grove(Aarhus University), David M. Hougaard(Statens Serum Institut), Manuel Mattheisen(Aarhus University), Espen Molden(Diakonhjemmet Hospital), Ole Mors(Aarhus University Hospital), Merete Nordentoft(University of Copenhagen), Milica Pejović-Milovančević(University of Belgrade), Engilbert Sigurðsson(National University Hospital of Iceland), Teimuraz Silagadze(Tbilisi State Medical University), Christine Søholm Hansen(Statens Serum Institut), Kāri Stefánsson(deCODE Genetics (Iceland)), Hreinn Stefánsson(deCODE Genetics (Iceland)), Stacy Steinberg(deCODE Genetics (Iceland)), Sarah Tosato(University of Verona), Thomas Werge(University of Copenhagen), David Collier(Eli Lilly (United States)), Dan Rujescu(Ludwig-Maximilians-Universität München), George Kirov(Cardiff University), Michael J. Owen(Cardiff University), Michael O’Donovan(Cardiff University), James Walters(Cardiff University)
Nature Genetics
February 25, 2018
Cited by 1,720Open Access
Full Text

Abstract

Schizophrenia is a debilitating psychiatric condition often associated with poor quality of life and decreased life expectancy. Lack of progress in improving treatment outcomes has been attributed to limited knowledge of the underlying biology, although large-scale genomic studies have begun to provide insights. We report a new genome-wide association study of schizophrenia (11,260 cases and 24,542 controls), and through meta-analysis with existing data we identify 50 novel associated loci and 145 loci in total. Through integrating genomic fine-mapping with brain expression and chromosome conformation data, we identify candidate causal genes within 33 loci. We also show for the first time that the common variant association signal is highly enriched among genes that are under strong selective pressures. These findings provide new insights into the biology and genetic architecture of schizophrenia, highlight the importance of mutation-intolerant genes and suggest a mechanism by which common risk variants persist in the population. A new GWAS of schizophrenia (11,260 cases and 24,542 controls) and meta-analysis identifies 50 new associated loci and 145 loci in total. The common variant association signal is highly enriched in mutation-intolerant genes and in regions under strong background selection.


Related Papers

No related papers found

Powered by citation graph analysis