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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. Miriam.Mosing@qimr.edu.au
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

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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