Resumen
Schizophrenia (SCZ) is a severe and debilitating neuropsychiatric disorder with an estimated heritability of ∼80%. Recently, de novo mutations, identified by next-generation sequencing (NGS) technology, have been suggested to contribute to the risk of developing SCZ. Although these studies show an overall excess of de novo mutations among patients compared with controls, it is not easy to pinpoint specific genes hit by de novo mutations as actually involved in the disease process. Importantly, support for a specific gene can be provided by the identification of additional alterations in several independent patients. We took advantage of existing genome-wide single-nucleotide polymorphism data sets to screen for deletions or duplications (copy number variations, CNVs) in genes previously implicated by NGS studies. Our approach was based on the observation that CNVs constitute part of the mutational spectrum in many human disease-associated genes. In a discovery step, we investigated whether CNVs in 55 candidate genes, suggested from NGS studies, were more frequent among 1637 patients compared with 1627 controls. Duplications in RB1CC1 were overrepresented among patients. This finding was followed-up in large, independent European sample sets. In the combined analysis, totaling 8461 patients and 112 871 controls, duplications in RB1CC1 were found to be associated with SCZ (P=1.29 × 10-5; odds ratio=8.58). Our study provides evidence for rare duplications in RB1CC1 as a risk factor for SCZ.
Idioma original | English |
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Número de artículo | tp2013101 |
Publicación | Translational Psychiatry |
Volumen | 3 |
DOI | |
Estado | Published - nov. 26 2013 |
Publicado de forma externa | Sí |
Nota bibliográfica
Funding Information:We thank all of the patients for participating in this study. We are grateful to Professor H-E Wichmann for supplying the SNP-chip data from the KORA control cohort and Professor S Schreiber for providing access to the SNP-chip data from the PopGen control cohort. We thank all of the probands from the Heinz Nixdorf Recall (HNR) study and the MooDS Imaging controls. This study makes use of data generated by the DECIPHER Consortium. A full list of centers who contributed to the generation of the data is available from http://decipher.sanger.ac.uk and by email from decipher@sanger.ac.uk. Funding for the project DECIPHER was provided by the Wellcome Trust. This study was supported by the German Federal Ministry of Education and Research (BMBF) through the Integrated Genome Research Network (IG) MooDS (Systematic Investigation of the Molecular Causes of Major Mood Disorders and Schizophrenia; grant 01GS08144 to MMN, SC and HW, grant 01GS08147 to MR, under the auspices of the National Genome Research Network plus (NGFNplus). MMN also received support from the Alfried Krupp von Bohlen und Halbach-Stiftung. MR was also supported by the 7th Framework Programme of the European Union (ADAMS project, HEALTH-F4-2009-242257; CRESTAR project, HEALTH-2011-1.1-2) grant 279227. IN was supported by IZKF Jena (Junior Scientist Grant). In 2007 and 2008, Heinrich Sauer received fees for board membership by Lilly and Otsuka, a travel grant by Lilly and speaker's honoraria by Pfizer and Lilly, moreover, fees for a consultancy of Wyeth. The Heinz Nixdorf Recall cohort was established with the support of the Heinz Nixdorf Foundation. The WTCCC2 schizophrenia analysis was funded by the Wellcome Trust Case Control Consortium 2 project (085475/B/08/Z and 085475/Z/08/Z) and the Wellcome Trust (072894/Z/03/Z, 090532/Z/09/Z and 075491/Z/04/B). We acknowledge use of the British 1958 Birth Cohort DNA collection funded by the Medical Research Council (grant G0000934) and the Wellcome Trust (grant 068545/Z/02), the UK National Blood Service controls funded by the Wellcome Trust. These funding sources had no involvement in the study design, the collection, analysis and interpretation of data, the writing of the report or the decision to submit the paper for publication. We thank deCODE for sharing frequencies of the RB1CC1 duplications in their large genotyped sample of cases and controls.
Publisher Copyright:
© 2013 Macmillan Publishers Limited.
ASJC Scopus Subject Areas
- Psychiatry and Mental health
- Cellular and Molecular Neuroscience
- Biological Psychiatry