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OP0235 Identification of Novel Cd4+ Lymphocyte Expression Quantitative Trait Loci in Untreated Early Arthritis Patients
  1. A.G. Pratt1,
  2. J. Massey2,
  3. A.E. Anderson1,
  4. N. Nair2,
  5. J. Diboll1,
  6. A. Skelton1,
  7. D. Lendrem1,
  8. L.N. Reynard2,
  9. H.J. Cordell3,
  10. S. Eyre2,
  11. A. Barton2,
  12. J.D. Isaacs1
  1. 1National Institute for Health Research Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust and Newcastle University, Newcastle upn Tyne
  2. 2Arthritis Research UK Centre for Genetics and Genomics, Centre for Musculoskeletal Research, Institute of Inflammation and Repair, University of Manchester, Manchester
  3. 3Institute of Genetic Medicine, Newcastle University, Newcastle upn Tyne, United Kingdom

Abstract

Background Rheumatoid arthritis (RA) is a CD4+ lymphocyte-mediated disease of immune dysregulation. Genome-wide association scans (GWAS) have shown common variants at approximately 100 genetic loci to be associated with RA. However, the associated single nucleotide polymorphisms (SNPs) often lie in intergenic regions and the gene upon which they act has not been defined. Examining how RA-associated SNPs influence gene expression in relevant biological contexts will begin to address this.

Objectives To map cis eQTLs at established RA risk loci in CD4+ lymphocytes of a well-characterised early arthritis cohort, and so gain insight into mechanisms of genetic risk.

Methods Patients attending the Newcastle Early Arthritis Clinic, naïve to immunomodulatory therapy, donated high integrity RNA and DNA extracted from 98% pure CD4+ lymphocytes within 4 hours of blood draw. Detailed baseline and longitudinal clinical data were recorded for all participants, who were followed up for ≥1 year. Genotyping and global gene expression measurement was carried out using the Illumina Human CoreExome array, and either HT12v4 or WG6v3 BeadChip arrays, respectively, and expression data was batch-corrected and normalised using standard algorithms. Data were analysed using the R package. Variants in linkage disequilibrium (LD) with >100 confirmed RA- SNPs1 (r2>0.8), and probes within 4MB of these LD blocks, were included in the analysis, seeking evidence of cis-eQTLs.

Results Data from 249 white Caucasian early arthritis patients were available for analysis; diagnoses (confirmed at follow-up) were RA (n=88), spondyloarthropathy/other inflammatory arthritis (n=86), osteoarthritis/other non-inflammatory arthralgia (n=70) and undifferentiated arthritis. Analysis of 1,247 SNPs and 8,023 probes identified strong evidence for cis-eQTLs at a number of RA risk loci in this population overall (experiment-wide p<0.05). Previously observed genes subject to eQTLs in primary human CD4+ lymphocytes replicated by our study include BLK, FADS1 and FADS2. Genes whose expression specifically in these cells has, to our knowledge, been associated with RA risk variants for the first time include RPS26, RNF167 and IKZF3.

Conclusions We present the first detailed eQTL analysis in the pathophysiologically relevant setting of early arthritis CD4+ lymphocytes, free of confounding immunomodulatory treatment. Interactions of clinical parameters (including disease phenotype) with eQTL effects remains the subject of ongoing analyses, to be presented. Our findings have the potential to modify the biological candidate gene landscape of RA.

  1. Okada Y et al. 2014 Nature. 506(7488):376–81

Disclosure of Interest None declared

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