Article Text

Download PDFPDF
The additive effect of individual genes in predicting risk of knee osteoarthritis
  1. A M Valdes1,
  2. M Doherty2,
  3. T D Spector1
  1. 1
    St. Thomas’ Hospital Campus, Kings College London School of Medicine London, UK
  2. 2
    Academic Rheumatology Unit, University of Nottingham, City Hospital Nottingham, UK
  1. Ana M Valdes, Twin Research Unit, St. Thomas’ Hospital Campus, Kings College London, Lambeth Palace Road, London SE1 7EH, UK


Objective: Genetic factors are important determinants of osteoarthritis (OA) but most individual genetic associations appear relatively modest. We aimed to answer whether carrying several genetic variants associated with knee OA could result in a greater risk of OA

Methods: Genotypes for 36 single nucleotide polymorphisms (SNPs) in 17 candidate genes previously associated with OA were analysed in 298 men and 305 women diagnosed with knee OA who met American College of Rheumatology (ACR) criteria, and in 297 male and 299 female age- and ethnicity-matched controls. The S-sum statistic method was used to select SNPs that contributed to knee OA, separately for men and women, and the coefficients from a logistic regression were used to add the genotypes in a new genetic risk variable.

Results: The odds ratio for individuals in the top quartile of the “genetic risk” variable compared to those in the bottom quartile was found to be 8.68 (95% CI 5.20–14.49, p<2×10−16) for women and 5.06 (95% CI 3.10–8.27, p<1×10−10) for men.

Conclusions: Our data suggest that the additive information from a number of genetic variants can predict a substantial proportion of risk of knee OA.

View Full Text

Statistics from


  • Funding: This work was supported by the Arthritis Research Campaign and by the Wellcome Trust

  • Competing interests: None declared

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.