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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-03

AUTHORS

S Hong Lee, Teresa R DeCandia, Stephan Ripke, Jian Yang, The Schizophrenia Psychiatric Genome-Wide Association Study Consortium, The International Schizophrenia Consortium, The Molecular Genetics of Schizophrenia Collaboration, Patrick F Sullivan, Michael E Goddard, Matthew C Keller, Peter M Visscher, Naomi R Wray

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. More... »

PAGES

247

References to SciGraph publications

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/ng.1108

    DOI

    http://dx.doi.org/10.1038/ng.1108

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1049441089

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/22344220


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