Article Text

Download PDFPDF

The role of genetic polymorphisms regulating vitamin D levels in rheumatoid arthritis outcome: a Mendelian randomisation approach
  1. Sebastien Viatte1,
  2. Annie Yarwood1,
  3. Kate McAllister1,
  4. Shibeb Al-Mudhaffer1,
  5. Bo Fu1,2,
  6. Edward Flynn1,
  7. Deborah P M Symmons1,3,
  8. Adam Young4,5,
  9. Anne Barton1,3
  1. 1 Arthritis Research UK Centre for Genetics and Genomics, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
  2. 2 Centre for Biostatistics, Institute of Population Health, The University of Manchester, UK
  3. 3 NIHR Manchester Musculoskeletal Biomedical Research Unit, Central Manchester Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK
  4. 4 St. Albans City Hospital, St. Albans, UK
  5. 5 Health and Human Sciences Research Institute, University of Hertfordshire, UK
  1. Correspondence to Dr Sebastien Viatte, Arthritis Research UK Centre for Genetics and Genomics, Manchester Academic Health Science Centre, The University of Manchester, Stopford Building, Oxford Road, Manchester, M13 9PT, UK; anne.barton{at}manchester.ac.uk

Statistics from Altmetric.com

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.

Vitamin D has an important immunoregulatory function,1 ,2 and there is suggestive evidence for its role in the aetiology of autoimmune diseases, including rheumatoid arthritis (RA).3 Vitamin D levels are reduced in individuals with severe RA,4 ,5 but it is difficult to determine whether this reduction is cause or effect. The onset of arthritis during winter is associated with greater radiographic progression at 6 months, which would be compatible with a causative role.6 Single nucleotide polymorphisms (SNPs) in four vitamin D metabolism genes (GC, DHCR7/NADSYN1, CYP2R1 and CYP24A1) are associated at genome-wide significance with circulating vitamin D levels.7 ,8 Since vitamin D level is associated with RA severity, an association between those SNPs and RA severity would establish causality. Testing the association of genetic variants in genes that control circulating vitamin D levels provides, therefore, an instrument to obtain an unbiased test of the hypothesis that vitamin D levels are aetiologically linked to RA outcome by controlling unmeasured confounding (Mendelian randomisation9). Hence, we tested SNPs previously associated with vitamin D metabolism,7 ,8 and SNPs in these gene regions showing some evidence of association with RA and type 1 diabetes3 ,10 for association with RA outcome in two prospective cohorts of early RA patients with longitudinal radiographic data available (table 1). Cohort characteristics have been described earlier elsewhere.11 Twenty SNPs mapping to four independent genetic regions were successfully genotyped using Sequenom MassArray technology in 1433 patients with 2164 X-rays from the Norfolk Arthritis Register (NOAR) and in 443 RA patients with 2924 X-rays from the Early Rheumatoid Arthritis Study (ERAS) scored using the Larsen method.11 Longitudinal modelling of the presence of erosions was performed using generalised estimating equation (GEE) model with a logit link for binary outcomes, while the Larsen score was modelled with Generalized Linear Latent And Mixed Modelling (GLLAMM) with discrete random effects to construct a finite mixture of three-component normal distributions for the highly skewed Larsen score outcomes with extra zero scores. Effect sizes for GEE models are given as a change in the log odds of developing erosions, and for GLLAMM as an increase in Larsen score, adjusting for age, disease duration and the square of these covariates (table 2). Although serological status and the shared epitope showed consistent association with radiological outcomes in both cohorts, the vitamin D metabolism SNPs showed inconsistent evidence. Thus, rs3829251 in the NADSYN1 gene was associated with Larsen score in ERAS but was not significantly associated with the presence of erosions in the same cohort, nor with radiographic damage in NOAR. Only DHCR7 (rs4944997 and its perfect proxy rs4944076) showed a consistent effect size and achieved the Bonferroni corrected level of significance after meta-analysis using a fixed effects model (Mantel and Haenszel method). A SNP in low linkage disequilibrium with rs4944997 has previously been associated with low vitamin D levels (rs12785878, r2=0.3).7 The protective effect reported for rs4944997 is therefore not consistent with the hypothesis that low vitamin D levels are associated with increased radiographic damage in RA. As the study presented here was performed in one of the largest sample sizes currently available worldwide, the effect of vitamin D SNPs and consequently vitamin D levels is unlikely to play a major role in the aetiology of RA radiographic damage. The reported lower vitamin D levels in more severe RA are more likely to be consequence than cause. Our data do not support vitamin D supplementation as a direct therapeutic intervention to modify RA outcome, although there may be other benefits of vitamin D supplementation in patients with deficient or insufficient levels.

Table 1

Cohort characteristics of RA patients with available genotype and X-ray data

Table 2

Association results for genetic markers involved in vitamin D levels

Acknowledgments

The authors acknowledge the ERAS clinicians and research nurses: Dr. Josh J. Dixey (New Cross Hospital, Wolverhampton), Dr. C. Solymossy (St. Albans City Hospital), Dr. Paul Davies and Lynn Hill (Chelmsford), Dr. Jo Devlin, Prof. Paul Emery and Lynn Waterhouse (Birmingham), Helen Tate (Grimsby), Cathy Boys (Basingstoke), Dora White (Medway), Helen Dart (Oswestry), Sue Stafford (Winchester), Dr. John Winfield (Sheffield), Annie Seymour (St. Albans). Study coordinators/data managers: Cathy Mayes and Marie Hunt (St. Albans). The authors would also like to acknowledge the NOAR clinicians and research nurses, the contribution of the local general practitioners and rheumatologists in Norwich, the NOAR metrologists and the database management team in Manchester. This work was funded by a core programme grant from Arthritis Research UK (grant ref: 20385) by the National Institute for Health Research Manchester Musculoskeletal Biomedical Research Unit and by the Innovative Medicines Initiative joint undertaking (IMI JU) funded project BeTheCure (contract no. 115142-2). At the start of this project, SV was supported by a research grant from the Swiss Foundation for Medical-Biological Scholarships (SSMBS), managed by the Swiss National Science Foundation (grant reference number PASMP3_134380). That grant is financed by a donation of Novartis to the SSMBS.

References

Footnotes

  • Contributors Data cleaning: SV and SA-M. Statistical analysis: SV and BF. SNP selection for genotyping: A Yarwood. Genotyping: KMA and EF. Study design: AB. Writing the manuscript: SV. Manuscript preparation and interpretation of the results: All authors. NOAR study lead: DPMS and AB. ERAS study lead: A Young.

  • Competing interests None.

  • Patient consent Obtained.

  • Ethics approval ERAS received ethical approval from the West Hertfordshire Local Research Ethics Committee and subsequently from the Caldicott Guardian. Informed consent was obtained from all patients. Ethical approval for the study was obtained (MREC 99/8/84), and informed consent was signed by all patients.

  • Provenance and peer review Not commissioned; externally peer reviewed.