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Potential of pharmacogenetics in treatment of chronic inflammatory diseases – a danish report overview from 2000 – 2024

Abstract

Given the substantial degree of inter-individual variability in treatment responses in patients with inflammatory bowel disease (IBD), treatment optimization is warranted. We provide an overview of pharmacogenetic variants that can affect the efficacy or toxicity of drugs commonly used for IBD. We used The Danish Register of Medical Product Statistics for information about medical treatment from 2000 – 2024. Of the most used drugs Azathioprine, Mesalazine, and Sulfasalazine have pharmacogenetic recommendation guidelines and/or FDA annotations. Approximately 19,241 Danish individuals treated with azathioprine—around 801 annually—may carry a genetic variant for which pharmacogenetic dosing guidelines exist. Up to 13,934 Danish individuals using infliximab or adalimumab (~580 individuals each year) have a potential risk of developing immunogenicity related to monoclonal antibodies. This study shows the possibilities of pharmacogenetic testing as a supportive clinical decision tool to optimize treatment and minimize risk of e.g., serious adverse effects, remission, and other serious complications.

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Fig. 1: Graphical illustration of most used drugs in Denmark between 2000 - 2024.

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References

  1. Roden DM, McLeod HL, Relling MV, Williams MS, Mensah GA, Peterson JF, et al. Pharmacogenomics. Lancet. 2019;394:521–32.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Westergaard N, Nielsen RS, Jørgensen S, Vermehren C. Drug use in Denmark for drugs having pharmacogenomics (PGx) based dosing guidelines from CPIC or DPWG for CYP2D6 and CYP2C19 drug–gene pairs: Perspectives for introducing PGx test to polypharmacy patients. J Pers Med. 2020;10:3.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Vermehren C, Nielsen RS, Jørgensen S, Drastrup AM, Westergaard N. Drug use among nursing home residents in denmark for drugs having pharmacogenomics based (PGX) dosing guidelines: potential for preemptive PGX testing. J Pers Med. 2020;10:1–11.

    Article  Google Scholar 

  4. Relling MV, Klein TE. CPIC: Clinical pharmacogenetics implementation consortium of the pharmacogenomics research network. Clin Pharmacol Ther. 2011;89:464–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Bank PCD, Caudle KE, Swen JJ, Gammal RS, Whirl-Carrillo M, Klein TE, et al. Comparison of the guidelines of the clinical pharmacogenetics implementation consortium and the dutch pharmacogenetics working group. Clin Pharmacol Ther. 2018;103:599–618.

    Article  CAS  PubMed  Google Scholar 

  6. Barbarino JM, Whirl-Carrillo M, Altman RB, Klein TE. PharmGKB: a worldwide resource for pharmacogenomic information. Wiley Interdiscip Rev Syst Biol Med. 2018;10:e1417.

    Article  PubMed  PubMed Central  Google Scholar 

  7. European Medicines Agency. EMA recommendations on DPD testing prior to treatment with fluorouracil, “ EMA recommendations on DPD testing prior to treatment with fluorouracil, capecitabine, tegafur and flucytosine,.” 2020. https://www.fagg.be/sites/default/files/content/dhpc_fluorouracil_nl_-_.

  8. Westergaard N, Tarnow L, Vermehren C. Use of clopidogrel and proton pump inhibitors alone or in combinations in persons with diabetes in Denmark; potential for CYP2C19 genotype-guided drug therapy. Metabolites. 2021;11:1–11.

    Article  Google Scholar 

  9. Lucafò M, Franca R, Selvestrel D, Curci D, Pugnetti L, Decorti G, et al. Pharmacogenetics of treatments for inflammatory bowel disease. Expert Opin Drug Metab Toxicol. 2018;14:1209–23.

    Article  PubMed  Google Scholar 

  10. Van Den Bosch BJC, Coenen MJH. Pharmacogenetics of inflammatory bowel disease. Pharmacogenomics. 2021;22:55–66.

    Article  PubMed  Google Scholar 

  11. Frolkis AD, Dykeman J, Negrón ME, Debruyn J, Jette N, Fiest KM, et al. Risk of surgery for inflammatory bowel diseases has decreased over time: a systematic review and meta-analysis of population-based studies. Gastroenterology. 2013;145:996–1006.

    Article  PubMed  Google Scholar 

  12. Yamamoto-Furusho JK. Pharmacogenetics in inflammatory bowel disease: understanding treatment response and personalizing therapeutic strategies. Pharmacogenomics Personalized Med. 2017;10:197–204.

    Article  CAS  Google Scholar 

  13. Voskuil MD, Bangma A, Weersma RK, Festen EAM. Predicting (side) effects for patients with inflammatory bowel disease: the promise of pharmacogenetics. World J Gastroenterol. 2019;25:2539–48.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Weinshilboum RM, Wang L. Pharmacogenomics: precision medicine and drug response. Mayo Clin Proc. 2017;92:1711–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Luzum JA, Petry N, Taylor AK, Van Driest SL, Dunnenberger HM, Cavallari LH. Moving pharmacogenetics into practice: it’s all about the evidence! Clin Pharmacol Ther. 2021;110:649–61.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Relling MV, Klein TE, Gammal RS, Whirl-Carrillo M, Hoffman JM, Caudle KE. The clinical pharmacogenetics implementation consortium: 10 years later. Clin Pharmacol Ther. 2020;107:171–5.

    Article  PubMed  Google Scholar 

  17. Gaedigk A, Ingelman-Sundberg M, Miller NA, Leeder JS, Whirl-Carrillo M, Klein TE. The pharmacogene variation (PharmVar) consortium: incorporation of the human cytochrome P450 (CYP) allele nomenclature database. Clin Pharmacol Ther. 2018;103:399–401.

    Article  CAS  PubMed  Google Scholar 

  18. Statistics. “The Danish Register of Medical Product Statistics,.” 2025. www.medstat.dk.

  19. McInnes G, Lavertu A, Sangkuhl K, Klein TE, Whirl-Carrillo M, Altman RB. Pharmacogenetics at scale: an analysis of the UK biobank. Clin Pharmacol Ther. 2021;109:1528–37.

    Article  PubMed  Google Scholar 

  20. Bangma A, Voskuil MD, Uniken Venema WTC, Brugge H, Hu S, Lanting P, et al. Predicted efficacy of a pharmacogenetic passport for inflammatory bowel disease. Aliment Pharmacol Ther. 2020;51:1105–15.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Sazonovs A, Kennedy NA, Moutsianas L, Heap GA, Rice DL, Reppell M, et al. HLA-DQA1*05 carriage associated with development of anti-drug antibodies to infliximab and adalimumab in patients with crohn’s disease. Gastroenterology. 2020;158:189–99.

    Article  CAS  PubMed  Google Scholar 

  22. Chanchlani N, Lin S, Bewshea C, Hamilton B, Thomas A, Smith R, et al. Mechanisms and management of loss of response to anti-TNF therapy for patients with Crohn’s disease: 3-year data from the prospective, multicentre PANTS cohort study. Lancet Gastroenterol Hepatol. 2024;9:521–38.

    Article  CAS  PubMed  Google Scholar 

  23. Aterido A, Palau N, Domènech E, Nos Mateu P, Gutiérrez A, Gomollón F, et al. Genetic association between CD96 locus and immunogenicity to anti-TNF therapy in Crohn’s disease. Pharmacogenomics J. 2019;19:547–55.

    Article  CAS  PubMed  Google Scholar 

  24. Oray M, Abu Samra K, Ebrahimiadib N, Meese H, Foster CS. Long-term side effects of glucocorticoids. Expert Opin Drug Saf. 2016;15:457–65.

    Article  CAS  PubMed  Google Scholar 

  25. Skrzypczak-Zielinska M, Gabryel M, Marszalek D, Dobrowolska A, Slomski R. NGS study of glucocorticoid response genes in inflammatory bowel disease patients. Arch Med Sci. 2021;17:417–33.

    Article  CAS  PubMed  Google Scholar 

  26. Chen HL, Li LR. Glucocorticoid receptor gene polymorphisms and glucocorticoid resistance in inflammatory bowel disease: a meta-analysis. Digestive Dis Sci. 2012;57:3065–75.

    Article  CAS  Google Scholar 

  27. Gammal RS, Pirmohamed M, Somogyi AA, Morris SA, Formea CM, Elchynski AL, et al. Expanded clinical pharmacogenetics implementation consortium (CPIC) guideline for medication use in the context of G6PD genotype. www.cpicpgx.org.

  28. Yee J, Kim SM, Han JM, Lee N, Yoon HY, Gwak HS The association between NAT2 acetylator status and adverse drug reactions of sulfasalazine: a systematic review and meta-analysis. Sci Rep. 2020;10.

  29. Hou ZD, Xiao ZY, Gong Y, Zhang YP, Zeng QY. Arylamine N-acetyltransferase polymorphisms in Han Chinese patients with ankylosing spondylitis and their correlation to the adverse drug reactions to sulfasalazine. BMC Pharmacol Toxicol. 2014;15:64.

    Article  PubMed  Google Scholar 

  30. Heap GA, So K, Weedon M, Edney N, Bewshea C, Singh A, et al. Clinical features and HLA association of 5-aminosalicylate (5-ASA)-induced nephrotoxicity in inflammatory bowel disease. J Crohns Colitis. 2016;10:149–58.

    Article  PubMed  Google Scholar 

  31. Riley SA, Mani V, Goodman MJ, Herd ME, Dutt S, Turnberg LA. Comparison of delayed release 5 aminosalicylic acid (mesalazine) and sulphasalazine in the treatment of mild to moderate ulcerative colitis relapse. Gut. 1988;29:669–74.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Masuda H, Takahashi Y, Nishida Y, Asai S. Comparison of the effect of mesalazine and sulfasalazine on laboratory parameters: A retrospective observational study. Eur J Clin Pharmacol. 2012;68:1549–55.

    Article  CAS  PubMed  Google Scholar 

  33. Yasutomi E, Hiraoka S, Yamamoto S, Oka S, Hirai M, Yamasaki Y, et al. Switching between three types of mesalazine formulation and sulfasalazine in patients with active ulcerative colitis who have already received high-dose treatment with these agents. J Clin Med. 2019;8:2109.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Raine T, Bonovas S, Burisch J, Kucharzik T, Adamina M, Annese V, et al. ECCO guidelines on therapeutics in ulcerative colitis: medical treatment. J Crohns Colitis. 2022;16:2–17.

    Article  PubMed  Google Scholar 

  35. Deben DS, Wong DR, van Bodegraven AA. Current status and future perspectives on the use of therapeutic drug monitoring of thiopurine metabolites in patients with inflammatory bowel disease. Expert Opin Drug Metab Toxicol. 2021;17:1433–44.

    Article  CAS  PubMed  Google Scholar 

  36. Relling MV, Schwab M, Whirl-Carrillo M, Suarez-Kurtz G, Pui CH, Stein CM, et al. Clinical pharmacogenetics implementation consortium guideline for thiopurine dosing based on TPMT and NUDT15 Genotypes: 2018 Update. Clin Pharmacol Ther. 2019;105:1095–105.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Feuerstein JD, Nguyen GC, Kupfer SS, Falck-Ytter Y, Singh S, Gerson L, et al. American gastroenterological association institute guideline on therapeutic drug monitoring in inflammatory bowel disease. Gastroenterology. 2017;153:827–34.

    Article  PubMed  Google Scholar 

  38. Moyer AM. NUDT15: A bench to bedside success story. Clin Biochem. 2021;92:1–8.

    Article  CAS  PubMed  Google Scholar 

  39. Coenen MJH, De Jong DJ, Van Marrewijk CJ, Derijks LJJ, Vermeulen SH, Wong DR, et al. Identification of Patients With Variants in TPMT and dose reduction reduces hematologic events during thiopurine treatment of inflammatory bowel disease. Gastroenterology. 2015;149:907–917.e7.

    Article  PubMed  Google Scholar 

  40. Šmid A, Urbančič D, Žlajpah JV, Stollarova N, Prelog T, Kavčič M, et al. Genetic profiling of NUDT15 in the Slovenian population. Pharmacogenomics. 2024;25:515–25.

    Article  PubMed  Google Scholar 

  41. Campbell JM, Bateman E, Stephenson MD, Bowen JM, Keefe DM, Peters MDJ. Methotrexate-induced toxicity pharmacogenetics: an umbrella review of systematic reviews and meta-analyses. Cancer Chemother Pharmacol. 2016;78:27–39.

    Article  CAS  PubMed  Google Scholar 

  42. Nielsen OH, Steenholdt C, Juhl CB, Rogler G. Efficacy and safety of methotrexate in the management of inflammatory bowel disease: a systematic review and meta-analysis of randomized, controlled trials. EClinicalMedicine. 2020;20:100271.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Wang Y, Li Y, Liu Y, Zhang Y, Ke Z, Zhang Y, et al. Patients With IBD receiving methotrexate are at higher risk of liver injury compared with patients with Non-IBD Diseases: a meta-analysis and systematic review. Front Med. 2021;8:774824.

    Article  Google Scholar 

  44. Giletti A, Esperon P. Genetic markers in methotrexate treatments. Pharmacogenomics J. 2018;18:689–703.

    Article  CAS  PubMed  Google Scholar 

  45. Cao M, Guo M, Wu DQ, Meng L. Pharmacogenomics of methotrexate: current status and future outlook. Curr Drug Metab. 2018;19:1182–7.

    Article  CAS  PubMed  Google Scholar 

  46. Treviño LR, Shimasaki N, Yang W, Panetta JC, Cheng C, Pei D, et al. Germline genetic variation in an organic anion transporter polypeptide associated with methotrexate pharmacokinetics and clinical effects. J Clin Oncol. 2009;27:5972–8.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Ramsey LB, Panetta JC, Smith C, Yang W, Fan Y, Winick NJ, et al. Genome-wide study of methotrexate clearance replicates SLCO1B1. Blood. 2013;121:898–904.

    Article  CAS  PubMed  Google Scholar 

  48. Mehta RS, Taylor ZL, Martin LJ, Rosen MJ, Ramsey LB. SLCO1B1 *15 allele is associated with methotrexate-induced nausea in pediatric patients with inflammatory bowel disease. Clin Transl Sci. 2022;15:63–9.

    Article  CAS  PubMed  Google Scholar 

  49. Han JM, Choi KH, Lee HH, Gwak HS. Association between SLCO1B1 polymorphism and methotrexate-induced hepatotoxicity: a systematic review and meta-analysis. Anticancer Drugs. 2022;33:75–9.

    Article  CAS  PubMed  Google Scholar 

  50. Steenholdt C, Bendtzen K, Brynskov J, Ainsworth MA. Optimizing Treatment with TNF Inhibitors in inflammatory bowel disease by monitoring drug levels and antidrug antibodies. Inflamm Bowel Dis. 2016;22:1999–2015.

    Article  PubMed  Google Scholar 

  51. Suh K, Kyei I, Hage DS. Approaches for the detection and analysis of antidrug antibodies to biopharmaceuticals: a review. J Sep Sci. 2022;45:2077–92.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Papamichael K, Vogelzang EH, Lambert J, Wolbink G, Cheifetz AS. Therapeutic drug monitoring with biologic agents in immune mediated inflammatory diseases. Expert Rev Clin Immunol. 2019;15:837–48.

    Article  CAS  PubMed  Google Scholar 

  53. Abraham NS, Hlatky MA, Antman EM, Bhatt DL, Bjorkman DJ, Clark CB, et al. ACCF/ACG/AHA 2010 expert consensus document on the concomitant use of proton pump inhibitors and thienopyridines: a focused update of the ACCF/ACG/AHA 2008 expert consensus document on reducing the gastrointestinal risks of antiplatelet therapy and NSAID use. J Am Coll Cardiology. 2010;56:2051–66.

    Article  Google Scholar 

  54. Abdullah-Koolmees H, van Keulen AM, Nijenhuis M, Deneer VHM. Pharmacogenetics guidelines: overview and comparison of the DPWG, CPIC, CPNDS, and RNPGx Guidelines. Front Pharmacology. 2021;11:595219.

    Article  Google Scholar 

  55. van Schaik RHN. CYP450 pharmacogenetics for personalizing cancer therapy. Drug Resist Updat. 2008;11:77–98.

    Article  PubMed  Google Scholar 

  56. Deneer VHM, van Schaik RHN. Evidence based drug dosing and pharmacotherapeutic recommendations per genotype. Methods Mol Biol. 2013;1015:345–54.

    Article  CAS  PubMed  Google Scholar 

  57. Danese S, Solitano V, Jairath V, Peyrin-Biroulet L. The future of drug development for inflammatory bowel disease: the need to ACT (advanced combination treatment). Gut. 2022;71:2380–7.

    Article  CAS  PubMed  Google Scholar 

  58. Stalgis C, Deepak P, Mehandru S, Colombel JF. Rational combination therapy to overcome the plateau of drug efficacy in inflammatory bowel disease. Gastroenterology. 2021;161:394–9.

    Article  CAS  PubMed  Google Scholar 

  59. Thomsen SB, Ungaro RC, Allin KH, Elmahdi R, Poulsen G, Andersson M, et al. Impact of thiopurine discontinuation at anti-tumour necrosis factor initiation in inflammatory bowel disease treatment: a nationwide Danish cohort study. Aliment Pharmacol Ther. 2022;55:1128–38.

    Article  CAS  PubMed  Google Scholar 

  60. Lauro R, Mannino F, Irrera N, Squadrito F, Altavilla D, Squadrito G, et al. Pharmacogenetics of biological agents used in inflammatory bowel disease: a systematic review. Biomedicines. 2021;9:1748.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Hindorf U, Appell ML. Genotyping should be cSonsidered the primary choice for pre-treatment evaluation of thiopurine methyltransferase function. J Crohns Colitis. 2012;6:655–9.

    Article  PubMed  Google Scholar 

  62. Chang JY, Park SJ, Jung ES, Jung SA, Moon CM, Chun J, et al. Genotype-based treatment with thiopurine reduces incidence of myelosuppression in patients with inflammatory bowel diseases. Clin Gastroenterol Hepatol. 2020;18:2010–2018.e2.

    Article  CAS  PubMed  Google Scholar 

  63. Higgs JE, Payne K, Roberts C, Newman WG. Are patients with intermediate TPMT activity at increased risk of myelosuppression when taking thiopurine medications? Pharmacogenomics. 2010;11:177–88.

    Article  CAS  PubMed  Google Scholar 

  64. Yang SK, Hong M, Baek J, Choi H, Zhao W, Jung Y, et al. A common missense variant in NUDT15 confers susceptibility to thiopurine-induced leukopenia. Nat Genet. 2014;46:1017–20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  65. Hoffmann P, Lamerz D, Hill P, Kirchner M, Gauss A. Gene Polymorphisms of NOD2, IL23R, PTPN2 and ATG16L1 in patients with crohn’s disease: on the way to personalized medicine? Genes. 2021;12:866.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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TA, HN and VA designed the study, conceived the work, revised the manuscript, approved the final version, and agreed on the aspects of the work. TA performed data analysis. JAGA revised the manuscript and approved the final version.

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Correspondence to Trine Andresen.

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TA, JAGA and HN have no competing financial interests in relation to the work described. VA is supported by Sundhedsdonationer (2024-0379).

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Andresen, T., Agúndez, J.A.G., Nazari, H. et al. Potential of pharmacogenetics in treatment of chronic inflammatory diseases – a danish report overview from 2000 – 2024. Pharmacogenomics J 26, 5 (2026). https://doi.org/10.1038/s41397-026-00400-w

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