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Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs

Authors :
Stephan Ripke
Patrick F. Sullivan
Teresa R. DeCandia
Matthew C. Keller
Naomi R. Wray
Peter M. Visscher
Michael E. Goddard
S. Hong Lee
Jian Yang
Lee, S Hong
DeCandia, Teresa R
Ripke, Stephan
Yang, Jian
Sullivan, Patrick F
Goddard, Michael E
Keller, Matthew C
Visscher, Peter M
Wray, Naomi R
Schizophrenia Psychiatric Genome-Wide Association Study Consortium (PGC-SCZ)
International Schizophrenia Consortium (ISC)
Molecular Genetics of Schizophrenia Collaboration (MGS)
Source :
Nature genetics
Publication Year :
2012

Abstract

Schizophrenia is a complex disorder caused by both genetic and environmental factors. Using 9,087 affected individuals, 12,171 controls and 915,354 imputed SNPs from the Schizophrenia Psychiatric Genome-Wide Association Study (GWAS) Consortium (PGC-SCZ), we estimate that 23% (s.e. = 1%) of variation in liability to schizophrenia is captured by SNPs. We show that a substantial proportion of this variation must be the result of common causal variants, that the variance explained by each chromosome is linearly related to its length (r = 0.89, P = 2.6 x 10(-8)), that the genetic basis of schizophrenia is the same in males and females, and that a disproportionate proportion of variation is attributable to a set of 2,725 genes expressed in the central nervous system (CNS; P = 7.6 x 10(-8)). These results are consistent with a polygenic genetic architecture and imply more individual SNP associations will be detected for this disease as sample size increases. Refereed/Peer-reviewed

Details

Language :
English
ISSN :
15461718 and 10614036
Volume :
44
Issue :
3
Database :
OpenAIRE
Journal :
Nature genetics
Accession number :
edsair.doi.dedup.....df27f78ff52197ed99fa73b46a6a9a5e