Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/22045
Title: Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs
Contributor(s): Lee, Sang Hong  (author); DeCandia, Teresa R (author); Visscher, Peter M (author); Wray, Naomi R (author); Ripke, Stephan (author); Yang, Jian (author); Sullivan, Patrick F (author); Goddard, Michael E (author); Keller, Matthew C (author)
Corporate Author: International Schizophrenia Consortium (ISC)
Molecular Genetics of Schizophrenia Collaboration (MGS)
Psychiatric Genomics Consortium, Schizophrenia Working Group (PGC SCZ)
Publication Date: 2012
Open Access: Yes
DOI: 10.1038/ng.1108Open Access Link
Handle Link: https://hdl.handle.net/1959.11/22045
Open Access Link: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3327879/Open Access Link
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.
Publication Type: Journal Article
Source of Publication: Nature Genetics, 44(3), p. 247-250
Publisher: Nature Publishing Group
Place of Publication: United States of America
ISSN: 1546-1718
1061-4036
Fields of Research (FoR) 2008: 060405 Gene Expression (incl. Microarray and other genome-wide approaches)
Fields of Research (FoR) 2020: 310505 Gene expression (incl. microarray and other genome-wide approaches)
Socio-Economic Objective (SEO) 2008: 920110 Inherited Diseases (incl. Gene Therapy)
Socio-Economic Objective (SEO) 2020: 200101 Diagnosis of human diseases and conditions
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article

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