A genome-wide association study of self-rated health

Miriam A. Mosing, Karin J.H. Verweij, Sarah E. Medland, Jodie Painter, Scott D. Gordon, Andrew C. Heath, Pamela A. Madden, Grant W. Montgomery, Nicholas G. Martin

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Self-rated health questions have been proven to be a highly reliable and valid measure of overall health as measured by other indicators in many population groups. It also has been shown to be a very good predictor of mortality, chronic or severe diseases, and the need for services, and is positively correlated with clinical assessments. Genetic factors have been estimated to account for 25-64% of the variance in the liability of self-rated health. The aim of the present study was to identify Single Nucleotide Polymorphisms (SNPs) underlying the heritability of self-rated health by conducting a genome-wide association analysis in a large sample of 6,706 Australian individuals aged 18-92. No genome wide significant SNPs associated with self-rated health could be identified, indicating that self-rated health may be influenced by a large number of SNPs with very small effect size. A very large sample will be needed to identify these SNPs.

Original languageEnglish
Pages (from-to)398-403
Number of pages6
JournalTwin Research and Human Genetics
Volume13
Issue number4
DOIs
StatePublished - Aug 2010

Keywords

  • Genes
  • Genome-wide association
  • Health
  • Self-rated health
  • Self-reported health

Fingerprint Dive into the research topics of 'A genome-wide association study of self-rated health'. Together they form a unique fingerprint.

Cite this