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Review
. 2012 Mar;25(2):76-82.
doi: 10.1097/YCO.0b013e32835035dd.

Genome-wide association studies of schizophrenia: does bigger lead to better results?

Affiliations
Review

Genome-wide association studies of schizophrenia: does bigger lead to better results?

Sarah E Bergen et al. Curr Opin Psychiatry. 2012 Mar.

Abstract

Purpose of review: Numerous genome-wide association studies (GWAS) of schizophrenia have been published in the past 6 years, with a number of key reports published in the last year. The studies have evolved in scale from small individual samples to large collaborative endeavors. This review aims to critically assess whether the results have improved as the sample size and scale of genetic association studies have grown.

Recent findings: Genomic genotyping and increasing sample sizes for schizophrenia association studies have led to parallel increases in the number of risk genes discovered with high statistical confidence. Nearly 20 genes or loci have surpassed the genome-wide significance threshold (P = 5 × 10) in a single study, and several have been replicated in more than one GWAS.

Summary: Identifying the genetic underpinnings of complex diseases offers insight into the etiological mechanisms leading to manifestation of the disease. New and more effective treatments for schizophrenia are desperately needed, and the ability to target the relevant biological processes grows with our understanding of the genes involved. As the size of GWAS samples has increased, more genes have been identified with high confidence that have begun to provide insight into the etiological and pathophysiological foundations of this disorder.

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Conflict of interest statement

Conflicts of Interest

The authors have no conflicts of interest to declare.

References

    1. Kendler KS, Diehl SR. The genetics of schizophrenia: a current, genetic-epidemiologic perspective. Schizophr Bull. 1993;19(2):261–285. - PubMed
    1. Lichtenstein P, Yip BH, Bjork C, et al. Common genetic determinants of schizophrenia and bipolar disorder in Swedish families: a population-based study. Lancet. 2009 Jan 17;373(9659):234–239. - PMC - PubMed
    1. Sullivan PF, Kendler KS, Neale MC. Schizophrenia as a complex trait: evidence from a meta-analysis of twin studies. Arch Gen Psychiatry. 2003 Dec;60(12):1187–1192. - PubMed
    1. Collins AL, Kim Y, Sklar P, et al. Hypothesis-driven candidate genes for schizophrenia compared to genome-wide association results. Psychol Med. 2011 Aug;19:1–10. - PMC - PubMed
    1. Need AC, Ge D, Weale ME, et al. A genome-wide investigation of SNPs and CNVs in schizophrenia. PLoS Genet. 2009 Feb;5(2):e1000373. - PMC - PubMed

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