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GWAS Study

A genome-wide association study of self-rated health.

Mosing MA, Verweij KJ, Medland SE et al.

20707712 PubMed ID
GWAS Study Type
6707 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

MM
Mosing MA
VK
Verweij KJ
MS
Medland SE
PJ
Painter J
GS
Gordon SD
HA
Heath AC
MP
Madden PA
MG
Montgomery GW
MN
Martin NG
Chapter II

Abstract

Summary of the research findings

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.

6,706 European individuals from 2,585 independent families

Chapter III

Study Statistics

Key metrics and study information

6707
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Australia
Recruitment Country
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

Independent AI summary of health and genetic findings from the published study

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