Evidence map›Paper›PMID 42086550›Full record

ArticleThe pharmacogenomics journal2026

FTO rs7195994 Is associated with TNF inhibitor response in lean rheumatoid arthritis patients: A BMI-stratified pharmacogenetic analysis.

Yi-Ting Li, I-Chieh Chen, Hui-Wen Yang, Chung-Mao Kao, Yen-Ju Chen, Wen-Nan Huang, Yi-Ming Chen

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Article in The pharmacogenomics journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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7 authors.

Yi-Ting LiDepartment of Post-Baccalaureate Medicine, College of Medicine, National Chung-Hsing University, Taichung, Taiwan.
I-Chieh ChenDepartment of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan.
Hui-Wen YangDepartment of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan.
Chung-Mao KaoDepartment of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan.
Yen-Ju ChenDepartment of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan.
Wen-Nan HuangDivision of Allergy, Immunology, and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
Yi-Ming ChenDepartment of Post-Baccalaureate Medicine, College of Medicine, National Chung-Hsing University, Taichung, Taiwan. ymchen1@vghtc.gov.tw.ORCID 0000-0001-7593-3065

Funding

Non-US Government Research Support type
6 · The paper itself

Abstract

Tumor necrosis factor inhibitors (TNFi) have transformed the management of rheumatoid arthritis (RA); however, up to 40% of patients fail to achieve an adequate clinical response. Current clinical predictors remain insufficient, highlighting the need for pharmacogenetic biomarkers to guide biologic therapy selection. In this study, we investigated genetic variants associated with TNFi treatment response, with a particular focus on body mass index (BMI)-dependent effects, using a large real-world cohort. A total of 519 patients with RA were identified from the Taiwan Precision Medicine Initiative (TPMI), an electronic health record-linked biobank. Eligible patients had received TNFi therapy for at least 6 months and had available genotyping data. Ninety-seven candidate single nucleotide polymorphisms (SNPs) previously reported to be associated with TNFi response were identified through a systematic literature search. Five variants located in immune-metabolic genes (FTO, ZNF618, RANK, CD84, and LOC105375523) were further analyzed using univariable and multivariable logistic regression models. Subgroup analyses stratified by BMI were performed to explore potential effect modification. Three variants-FTO rs7195994, ZNF618 rs16911006, and LOC105375523 rs834811-were significantly associated with TNFi response in initial analyses. In multivariable models, only FTO rs7195994 remained an independent predictor of non-response (odds ratio [OR] 0.44, 95% confidence interval [CI] 0.22-0.87; p = 0.019). Among patients with BMI < 27 kg/m², carriers of the rs7195994 risk allele had a 49% lower likelihood of achieving treatment response (OR 0.51, 95% CI 0.28-0.92; p = 0.0249), whereas no significant association was observed in patients with higher BMI. These findings identify FTO rs7195994 as a novel, BMI-modulated pharmacogenetic marker of TNFi non-response in RA. Incorporating BMI-stratified genetic profiling into clinical decision-making may facilitate early identification of patients unlikely to benefit from TNFi therapy, thereby supporting precision treatment strategies. Further validation in multiethnic populations and functional studies is warranted.

Indexed as

Alpha-Ketoglutarate-Dependent Dioxygenase FTOAntirheumatic AgentsArthritis, RheumatoidPolymorphism, Single NucleotideThinnessTumor Necrosis Factor-alphaTumor Necrosis Factor InhibitorsAgedBody Mass IndexFemaleHumansMaleMiddle AgedPharmacogeneticsPharmacogenomic TestingTreatment OutcomeAlpha-Ketoglutarate-Dependent Dioxygenase FTOAntirheumatic AgentsFTO protein, humanTumor Necrosis Factor-alphaTumor Necrosis Factor Inhibitors

Identifiers

PMID42086550
PMCPMC13143807

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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.