Genetic Predictors of Anti-TNF Treatment Efficacy in Rheumatoid Arthritis
Author Information
Author(s): Plant Darren, Bowes John, Potter Catherine, Hyrich Kimme L, Morgan Ann W, Wilson Anthony G, Isaacs John D, Barton Anne
Primary Institution: University of Manchester
Hypothesis
The study aims to identify genetic predictors of response to anti-TNF therapy in rheumatoid arthritis.
Conclusion
The study identified and validated the association of 7 genetic loci with response to anti-TNF treatment in rheumatoid arthritis.
Supporting Evidence
- Seven genetic loci were identified that influence treatment response in RA patients.
- The study included a total of 1285 patients, making it the largest investigation of genetic predictors of anti-TNF response in RA.
- Multivariate analysis showed that incorporating genetic loci increased the variance explained in treatment response.
Takeaway
Scientists found 7 genes that can help predict how well rheumatoid arthritis patients will respond to a specific treatment.
Methodology
The study used genome-wide association studies and multivariate linear regression analysis to assess treatment response in anti-TNF-treated RA patients.
Potential Biases
Potential for spurious associations due to population stratification and small sample sizes in some cohorts.
Limitations
The study may have false-positive associations due to a lenient statistical threshold and the complexity of the DAS28 score.
Participant Demographics
Participants were predominantly Caucasian RA patients receiving anti-TNF therapy.
Statistical Information
P-Value
5.67e-05
Confidence Interval
95% CI not specified
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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