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

Hong Lee, Teresa R. Decandia, Stephan Ripke, Jian Yang, Patrick F. Sullivan, Michael E. Goddard, Matthew C. Keller, Peter M. Visscher, Naomi R. Wray

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384 Citations (Scopus)

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 × 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 × 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.

Original languageEnglish
Pages (from-to)247-250
Number of pages4
JournalNature Genetics
Volume44
Issue number3
DOIs
Publication statusPublished - 1 Mar 2012

ASJC Scopus subject areas

  • Genetics

Cite this

Lee, H., Decandia, T. R., Ripke, S., Yang, J., Sullivan, P. F., Goddard, M. E., ... Wray, N. R. (2012). Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs. Nature Genetics, 44(3), 247-250. https://doi.org/10.1038/ng.1108