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

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

Research output: Contribution to journalArticlepeer-review

477 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 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.
Original languageEnglish
Pages (from-to)247-250
JournalNature Genetics
Volume44
Issue number3
DOIs
Publication statusPublished - 2012

Keywords

  • Gene Expression (incl. Microarray and other genome-wide approaches)

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