Genome-wide association study and gene expression analysis identifies CD84 as a predictor of response to etanercept

Jing Cui1, Eli A Stahl, Saedis Saevarsdottir

  • 1Division of Rheumatology, Immunology, and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.

Plos Genetics
|April 5, 2013
PubMed

Insights

A genome-wide study found a genetic marker linked to better response in rheumatoid arthritis patients treated with etanercept. This marker influences CD84 gene expression, which correlates with disease activity, suggesting a potential biomarker for etanercept therapy.

Area of Science:

  • Immunogenetics
  • Rheumatology
  • Pharmacogenomics

Background:

  • Anti-tumor necrosis factor alpha (anti-TNF) therapy is a common rheumatoid arthritis (RA) treatment.
  • Predicting patient response to anti-TNF therapy remains a clinical challenge.
  • Understanding genetic factors influencing treatment response is crucial for personalized medicine.

Purpose of the Study:

  • To identify genetic variants associated with response to anti-TNF therapy in rheumatoid arthritis (RA).
  • To investigate the role of the identified genetic variants and their associated genes in RA disease activity and treatment response.
  • To explore potential biomarkers for predicting etanercept treatment outcomes in RA patients.

Main Methods:

  • Genome-wide association study (GWAS) meta-analysis of over 2 million variants in 2,706 RA patients treated with etanercept, infliximab, or adalimumab.
  • Analysis of single nucleotide polymorphism (SNP) rs6427528 association with change in disease activity score (ΔDAS).
  • Investigation of CD84 gene expression in peripheral blood mononuclear cells and its correlation with disease activity and treatment response.

Main Results:

  • A significant association was found between SNP rs6427528 and ΔDAS in the etanercept subset (P = 8 × 10(-8)).
  • The risk allele for rs6427528 was linked to higher CD84 gene expression (P = 1 × 10(-11) in non-RA, P = 0.004 in RA).
  • Higher CD84 expression correlated with lower disease activity and showed a trend towards better ΔDAS in etanercept-treated RA patients.

Conclusions:

  • CD84 genotype and expression are associated with response to etanercept therapy in rheumatoid arthritis.
  • CD84 may serve as a potential predictive biomarker for etanercept treatment efficacy in RA patients of European ancestry.
  • These findings contribute to understanding the biological basis of anti-TNF therapy response and developing personalized treatment strategies.

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