Skip to content
naulon

Corrected on May 1, 2025.

Source: the publisher, via Crossref · checked Oct 22, 2026 · Read the notice

Associations between gut microbiota and genetic risk for rheumatoid arthritis in the absence of disease: a cross-sectional study

Philippa M Wells, Adewale S Adebayo, Ruth C E Bowyer and 10 more

The Lancet Rheumatology · 2020

doi:10.1101/2019.12.09.19014183

Abstract

Background. Rheumatoid arthritis is a chronic inflammatory autoimmune disease that is associated with reduced life expectancy. The disease is heritable and an extensive repertoire of genetic variants have been identified. The gut microbiota might represent an environmental risk factor for rheumatoid arthritis. We aimed to assess whether known rheumatoid arthritis risk alleles were associated with the gut microbiota in a large population who do not have rheumatoid arthritis.

Methods. In this cross-sectional study done in the UK and Switzerland, we used genotyping and microbiota data from previous studies of the TwinsUK cohort, excluding participants who had ever had a diagnosis of rheumatoid arthritis, as well as their unaffected co-twins. We used blood samples for genotyping and stool samples for the assessment of the gut microbiota. We generated a polygenic risk score (PRS) for rheumatoid arthritis in 1650 TwinsUK participants without the disease, based on 233 GWAS-identified single nucleotide polymorphisms associated with rheumatoid arthritis. We validated the PRS using logistic regression against rheumatoid arthritis diagnosis in 2686 UK Biobank individuals with a confirmed diagnosis of rheumatoid arthritis. Amplicon sequence variants (ASVs) were generated from 16S rRNA gene sequencing of stool samples and assessed for association with the PRS for rheumatoid arthritis. We validated the findings in an independent sample comprised of first-degree relatives of patients with rheumatoid arthritis from the SCREEN-RA cohort. Differential abundance of ASVs present in more than 5% of samples, grouped by ASV taxon annotation, against the rheumatoid arthritis PRS as a continuous variable was assessed using fixed-effects covariates. To account for multiple testing, the false discovery rate calculation was applied to all p values to generate q values, with a significance threshold of 0·05 determined a priori.

Findings. We found that presence of Prevotella spp were positively associated with the rheumatoid arthritis PRS in TwinsUK participants (q<1 × 10−7). This finding was validated in SCREEN-RA participants (n=133) carrying established shared epitope risk alleles (q=0·0011). We also found an association between Prevotella spp and presence of preclinical rheumatoid arthritis phases (q=0·021).

Interpretation. Prevotella spp in the gut microbiota are associated with the rheumatoid arthritis genotype in the absence of rheumatoid arthritis, including in individuals at high risk of developing rheumatoid arthritis. Our findings suggest that host genotype is associated with microbiota profile before disease onset.

Funding. Versus Arthritis.

References 31

  1. 1.

    MacGregor AJ, Snieder H, Rigby AS. Characterizing the quantitative genetic contribution to rheumatoid arthritis using data from twins. Arthritis Rheum. 2000;43:30-37.

    Not in our library10.1002/1529-0131(200001)43:1<30::aid-anr5>3.0.co;2-b

  2. 2.

    Wells PM, Williams FMK, Matey-Hernandez ML, Menni C, Steves CJ. RA and the microbiome: do host genetic factors provide the link? J Autoimmun. 2019;99:104-115.

    Not in our library10.1016/j.jaut.2019.02.004

  3. 3.
  4. 4.

    Zhang X, Zhang D, Jia H. The oral and gut microbiomes are perturbed in rheumatoid arthritis and partly normalized after treatment. Nat Med. 2015;21:895-905.

    Not in our library10.1038/nm.3914

  5. 5.
  6. 6.

    Isaac S, Artacho A, Nayak R. Op0119 the pre-treatment gut microbiome predicts early response to rheumatoid arthritis therapy. Ann Rheum Dis. 2019;78:133-134.

    Not in our library

  7. 7.

    Goodrich JK, Waters JL, Poole AC. Human genetics shape the gut microbiome. Cell. 2014;159:789-799.

    Not in our library10.1016/j.cell.2014.09.053

  8. 8.

    Alpizar-Rodriguez D, Lesker TR, Gronow A. Prevotella copri in individuals at risk for rheumatoid arthritis. Ann Rheum Dis. 2019;78:590-593.

    Not in our library10.1136/annrheumdis-2018-214514

  9. 9.

    Verdi S, Abbasian G, Bowyer RCE. TwinsUK: the UK adult twin registry update. Twin Res Hum Genet. 2019;22:523-552.

    Not in our library10.1017/thg.2019.65

  10. 10.

    Gerlag DM, Raza K, van Baarsen LG. EULAR recommendations for terminology and research in individuals at risk of rheumatoid arthritis: report from the Study Group for Risk Factors for Rheumatoid Arthritis. Ann Rheum Dis. 2012;71:638-641.

    Not in our library10.1136/annrheumdis-2011-200990

  11. 11.

    Khera AV, Chaffin M, Aragam KG. Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations. Nat Genet. 2018;50:1219-1224.

    Not in our library10.1038/s41588-018-0183-z

  12. 12.

    Jones HJ, Hubbard L, Mitchell RE. Association of genetic risk for rheumatoid arthritis with cognitive and psychiatric phenotypes across childhood and adolescence. JAMA Netw Open. 2019;2.

    Not in our library10.1001/jamanetworkopen.2019.6118

  13. 13.
  14. 14.

    Vilhjálmsson BJ, Yang J, Finucane HK. Modeling linkage disequilibrium increases accuracy of polygenic risk scores. Am J Hum Genet. 2015;97:576-592.

    Not in our library10.1016/j.ajhg.2015.09.001

  15. 15.

    Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJA, Holmes SP. DADA2: high resolution sample inference from Illumina amplicon data. Nat Methods. 2016;13:581-583.

    Not in our library10.1038/nmeth.3869

  16. 16.

    Callahan B. Silva taxonomic training data formatted for DADA2 (Silva version 132). Zenodo. 2018.

    Not in our library10.5281/zenodo.1172783

  17. 17.
  18. 18.
  19. 19.

    Henderson G, Yilmaz P, Kumar S. Improved taxonomic assignment of rumen bacterial 16S rRNA sequences using a revised SILVA taxonomic framework. PeerJ. 2019;7.

    Not in our library10.7717/peerj.6496

  20. 20.

    Bates D, Mächler M, Bolker B, Walker S. Fitting linear mixed-effects models using lme4. J Stat Softw. 2015;67:1-48.

    Not in our library

  21. 21.
  22. 22.

    Pianta A, Arvikar S, Strle K. Evidence for immune relevance of Prevotella copri, a gut microbe, in patients with rheumatoid arthritis. Arthritis Rheumatol. 2017;69:964-975.

    Not in our library10.1002/art.40003

  23. 23.

    Maeda Y, Kurakawa T, Umemoto E. Dysbiosis contributes to arthritis development via activation of autoreactive T Cells in the intestine. Arthritis Rheumatol. 2016;68:2646-2661.

    Not in our library10.1002/art.39783

  24. 24.

    Pedersen HK, Gudmundsdottir V, Nielsen HB. Human gut microbes impact host serum metabolome and insulin sensitivity. Nature. 2016;535:376-381.

    Not in our library10.1038/nature18646

  25. 25.

    Hofer U. Microbiome: pro-inflammatory Prevotella? Nat Rev Microbiol. 2014;12:5.

    Not in our library10.1038/nrmicro3180

  26. 26.
  27. 27.
  28. 28.
  29. 29.
  30. 30.

    Mueller RB, Kaegi T, Finckh A, Haile SR, Schulze-Koops H, von Kempis J. Is radiographic progression of late-onset rheumatoid arthritis different from young-onset rheumatoid arthritis? Results from the Swiss prospective observational cohort. Rheumatology. 2014;53:671-677.

    Not in our library10.1093/rheumatology/ket399

  31. 31.

    McInnes IB, Schett G. Pathogenetic insights from the treatment of rheumatoid arthritis. Lancet. 2017;389:2328-2337.

    Not in our library10.1016/s0140-6736(17)31472-1

Cited by papers we hold 5

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.