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Genetic variants that predict response to anti-tumor necrosis factor therapy in rheumatoid arthritis: current
Robert M Plenge1, Lindsey A Criswell
1Division of Rheumatology, Immunology and Allergy, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.
Purpose Of Review:
Tumor necrosis factor alpha (TNF) inhibitors are a mainstay of treatment in rheumatoid arthritis, yet there are no effective clinical or biomarker predictors of which patients will respond. Here we review genetic association studies conducted to search for DNA biomarkers of response to anti-TNF therapy.
Recent Findings:
The entirety of genetic association studies to date that focus on response to anti-TNF therapy has been limited to a small number of genetic variants within a few candidate genes (primarily within the major histocompatibility complex region). Moreover, these studies have been conducted in a relatively small number of rheumatoid arthritis patients (approximately 1000 patients across all studies combined). From these studies, no single genetic factor is associated unequivocally with treatment response, although some studies suggest that alleles within the major histocompatibility complex may influence response.
Summary:
Additional studies are required to investigate the genetic basis of response to anti-TNF therapy. These studies should include an unbiased search of DNA variation across the human genome--now feasible through cost-effective genome-wide association studies--and be conducted in large patient collections powered to detect modest effect sizes.
Insights
Predicting response to tumor necrosis factor alpha (TNF) inhibitors in rheumatoid arthritis remains challenging. Current genetic studies are limited, highlighting the need for larger, genome-wide investigations to identify reliable DNA biomarkers for anti-TNF therapy.
Area of Science:
- Genetics
- Immunology
- Rheumatology
Background:
- Tumor necrosis factor alpha (TNF) inhibitors are crucial for rheumatoid arthritis (RA) treatment.
- Predicting patient response to anti-TNF therapy is currently not possible through clinical or biomarker assessments.
Purpose of the Study:
- To review existing genetic association studies searching for DNA biomarkers predicting response to anti-TNF therapy in RA.
Main Methods:
- Review of published genetic association studies.
- Focus on candidate gene approaches, particularly within the major histocompatibility complex.
Main Results:
- Limited number of genetic variants and small patient cohorts (approx. 1000 RA patients) studied to date.
- No single genetic factor has been unequivocally linked to anti-TNF treatment response.
- Some evidence suggests major histocompatibility complex alleles may influence response.
Conclusions:
- Further research is essential to understand the genetic underpinnings of anti-TNF therapy response in RA.
- Future studies should employ unbiased, genome-wide association studies (GWAS) in large patient cohorts.
- Larger sample sizes are needed to detect modest genetic effect sizes.
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