Research Article
TRAF1/C5 but Not PTPRC Variants Are Potential Predictors of Rheumatoid Arthritis Response to Anti-Tumor Necrosis Factor Therapy
Table 3
Minor allele genetic variants as predictors of response, analyzed by univariate and multivariate linear and logistic regression models.
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Values were significant for . The analyses of response were modeled for the minor alleles. Additive models were used taking the homozygote for the major allele as the reference variable. 383 patients were included in the primary analysis (the outcome was the absolute change in the disease activity score (DAS28) between the baseline and the 6-month visit). 208 patients were assessed in the secondary analyses; 119 were good responders and 89 nonresponders according to the EULAR response criteria. Values were presented as regression coefficient (coef.), 95% confidence intervals (CI), and values () for linear regression analyses and as odds ratio (OR), 95% confidence intervals (CI), and values () for logistic regression analyses. In multivariate models, covariates included were number of years completed at school, health assessment questionnaire, and disease activity score at baseline. SNP: single nucleotide polymorphism; Chr: chromosome; MAF: minor allele frequency. |