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, M. Bartels, J.M. Vink, M.H.M. de Moor, J.J. Hottenga, E.J.C. de Geus, J.H. Smit, G. Willemsen, B.W.J.H. Penninx, D.I. Boomsma

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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
JournalTwin research and human genetics
Volume13
Issue number4
DOIs
Publication statusPublished - 2010

Cohort Studies

  • Netherlands Twin Register (NTR)

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