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THU0478 Genome-Wide Association Analysis of Pain Reduction in Rheumatoid Arthritis Patients Treated with TNF Inhibitors
  1. M. Coenen1,
  2. M. Umićević Mirkov1,
  3. S.B. Krintel2,
  4. J.S. Johansen2,
  5. C. Miceli-Richard3,
  6. H. Källberg4,
  7. L. Padyukov4,
  8. H. Scheffer1,
  9. W. Kievit5,
  10. M.A. van de Laar6,
  11. P.L. van Riel7,
  12. X. Mariette3,
  13. S. Saevarsdottir4,
  14. M.L. Hetland2,
  15. S.H. Vermeulen5,
  16. C.A. Albers1
  17. on behalf of Dutch Rheumatoid Arthritis Monitoring Registry
  1. 1Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
  2. 2DANBIO and Department of Rheumatology, Copenhagen University Hospital Glostrup, Copenhagen, Denmark
  3. 3AP-HP, Hôpitaux Universitaires Paris-Sud, Paris, France
  4. 4Rheumatology Unit, Department of Medicine, Institutet/Karolinska University Hospital, Stockholm, Sweden
  5. 5Health Evidence, Radboud university medical center, Nijmegen
  6. 6Rheumatology, University Twente & Medisch Spectrum Twente, Enschede
  7. 7Rheumatology, Radboud University Medical Center, Nijmegen, Netherlands


Background Pain is the dominant and prevailing symptom of rheumatoid arthritis (RA). Tumor necrosis factor inihibitors (TNFi) have proven very successful in pain reduction. Interestingly, improvement of pain, is notable rapidly after administration of TNFi agents, and well before anti-inflammatory effects of treatment can be observed. The vast majority of pharmacogenetic studies of response to TNFi utilized the clinical outcome measure, disease activity score 28 (DAS28). This measure is very useful for clinical practice, however it might be less heritable as compared to individual, potentially more homogeneous, disease measures. Usage of less complex phenotypes, such as pain (heritability 28-71%), might significantly aid the identification of genetic markers predicting differential response to TNFi.

Objectives We aimed to identify and replicate genetic factors predicting pain reduction upon TNFi treatment in patients with RA using genome-wide association approach.

Methods We included 508 TNFi treated RA patients. Association analysis of change of visual analogue scale of pain (VAS-pain) after 14 weeks of treatment was performed on imputed genome-wide genotyping data under additive genetic model with adjustment for baseline VAS-pain. We also conducted a meta-analysis including 1287 RA patients. Gene-based analysis was performed using VEGAS.

Results No findings reached the threshold for genome-wide significance (P-value≤1x10–8) in the discovery cohort. Meta-analysis revealed 213 SNPs suggestively associated (P<10–4) with change in VAS-pain after fourteen weeks of TNFi treatment. The most significant SNP rs2295739 (p=2.21x10–6), located ∼50kb upstream from the KCNK10 gene, which belongs to a family of genes involved in sensory perception. The top hit in the gene-based analysis was RET, known to regulate ion channels and receptors participating in detection and transduction of sensory stimuli. Besides Ret-deficient mice show elevated pain responses.

Conclusions We have identified several suggestive genomic regions, further studies are required to validate if these regions play a role in pain reduction upon TNFi treatment.

Disclosure of Interest : None declared

DOI 10.1136/annrheumdis-2014-eular.4094

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