ArticleJournal of Crohn's & colitis2019
Novel Genetic Risk Variants Can Predict Anti-TNF Agent Response in Patients With Inflammatory Bowel Disease.
Article in Journal of Crohn's & colitis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.
- Pharmacogenetics in Response to Biological Agents in Inflammatory Bowel Disease: A Systematic Review.International journal of molecular sciences · 2025Pooled it
- Genetic Variants Associated with Biological Treatment Response in Inflammatory Bowel Disease: A Systematic Review.International journal of molecular sciences · 2024Pooled it
- Targeting Inflammatory Pathways in Chronic Low Back Pain: Opportunities for Novel Therapeutics.Pharmaceuticals (Basel, Switzerland) · 2025Review
- The Impact of Genetic Variation on Drug Response in Adult IBD: A Systematic Review.JGH open : an open access journal of gastroenterology and hepatology · 2025Review
- Genetic factors that predict response and failure of biologic therapy in inflammatory bowel disease.World journal of experimental medicine · 2025Review
- Defining immune cell phenotypes that distinguish treatment responders and non-responders in RA.Seminars in arthritis and rheumatism · 2025Review
- Pharmacogenomics of TNF inhibitors.Frontiers in immunology · 2025Review
- Treat-to-target and sequencing therapies in Crohn's disease.United European gastroenterology journal · 2022Review
- A Systematic Review of Polygenic Models for Predicting Drug Outcomes.Journal of personalized medicine · 2022Review
- Predictors and Early Markers of Response to Biological Therapies in Inflammatory Bowel Diseases.Journal of clinical medicine · 2021Review
- Personalizing Treatment in IBD: Hype or Reality in 2020? Can We Predict Response to Anti-TNF?Frontiers in medicine · 2020Review
- Personalized Medicine of Monoclonal Antibodies in Inflammatory Bowel Disease: Pharmacogenetics, Therapeutic Drug Monitoring, and Beyond.Frontiers in pharmacology · 2020Review
- Genetic polymorphism associated with non-response to therapy in inflammatory bowel disease patients: a review.PharmacogenomicsReview
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundIt is important to identify patients with inflammatory bowel disease [IBD] refractory to anti-tumour necrosis factor [TNF] therapy, to avoid potential adverse effects and to adopt different treatment strategies. We aimed to identify and validate clinical and genetic factors to predict anti-TNF response in patients with IBD. MATERIALS AND
methodsMayo Clinic and Washington University IBD genetic association study cohorts were used as discovery and replicate datasets, respectively. Clinical factors included sex, age at diagnosis, disease duration and phenotype, disease location, bowel resection, tobacco use, family history of IBD, extraintestinal manifestations, and response to anti-TNF therapy.
resultsOf 474 patients with IBD treated with anti-TNF therapy, 41 [8.7%] were refractory to therapy and 433 [91.3%] had response. Multivariate analysis showed history of immunomodulator use (odds ratio 10.2, p = 8.73E-4) and bowel resection (odds ratio 3.24, p = 4.38E-4) were associated with refractory response to anti-TNF agents. Among genetic loci, two [rs116724455 in TNFSF4/18, rs2228416 in PLIN2] were successfully replicated and another four [rs762787, rs9572250, rs144256942, rs523781] with suggestive evidence were found. An exploratory risk model predictability [area under the curve] increased from 0.72 [clinical predictors] to 0.89 after adding genetic predictors. Through identified clinical and genetic predictors, we constructed a preliminary anti-TNF refractory score to differentiate anti-TNF non-responders (mean [standard deviation] score, 5.49 [0.99]) from responders (2.65 [0.39]; p = 4.33E-23).
conclusionsNovel and validated genetic loci, including variants in TNFSF, were found associated with anti-TNF response in patients with IBD. Future validation of the exploratory risk model in a large prospective cohort is warranted.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.