Hostname: page-component-cd9895bd7-p9bg8 Total loading time: 0 Render date: 2024-12-23T01:02:58.572Z Has data issue: false hasContentIssue false
  • English
  • Français

A Genome-Wide Association Study of Self-Rated Health

Published online by Cambridge University Press:  21 February 2012

Miriam A. Mosing ,
Karin J. H. Verweij ,
Sarah E. Medland ,
Jodie Painter ,
Scott D. Gordon ,
Andrew C. Heath ,
Pamela A. Madden ,
Grant W. Montgomery  and
Nicholas G. Martin
Miriam A. Mosing*
Affiliation:
Genetic Epidemiology, Molecular Epidemiology, and Queensland Statistical Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, Queensland, Australia.; School of Psychology, University of Queensland, Brisbane, Queensland, Australia. [email protected]
Karin J. H. Verweij
Affiliation:
Genetic Epidemiology, Molecular Epidemiology, and Queensland Statistical Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, Queensland, Australia.; School of Psychology, University of Queensland, Brisbane, Queensland, Australia.
Sarah E. Medland
Affiliation:
Genetic Epidemiology, Molecular Epidemiology, and Queensland Statistical Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, Queensland, Australia.; School of Psychology, University of Queensland, Brisbane, Queensland, Australia.
Jodie Painter
Affiliation:
Genetic Epidemiology, Molecular Epidemiology, and Queensland Statistical Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, Queensland, Australia.
Scott D. Gordon
Affiliation:
Genetic Epidemiology, Molecular Epidemiology, and Queensland Statistical Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, Queensland, Australia.
Andrew C. Heath
Affiliation:
Department of Psychiatry, Washington University School of Medicine, St Louis, MO, United States of America.
Pamela A. Madden
Affiliation:
Department of Psychiatry, Washington University School of Medicine, St Louis, MO, United States of America.
Grant W. Montgomery
Affiliation:
Genetic Epidemiology, Molecular Epidemiology, and Queensland Statistical Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, Queensland, Australia.
Nicholas G. Martin
Affiliation:
Genetic Epidemiology, Molecular Epidemiology, and Queensland Statistical Genetics Laboratories, Queensland Institute of Medical Research, Brisbane, Queensland, Australia.
*
*Address for correspondence: Miriam Anna Mosing, Genetic Epidemiology, Queensland Institute of Medical Research, 300 Herston Road, Herston QLD 4006, Australia.

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

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.

Keywords

genome-wide associationgenesself-rated healthself-reported healthhealth
Type
Articles
Information
Twin Research and Human Genetics , Volume 13 , Issue 4 , 01 August 2010 , pp. 398 - 403
Copyright
Copyright © Cambridge University Press 2010