Table 4.
SNP | Ch | Position Bp | Genotype | Count | MAF | Change in DAS | Absolute change in DAS | EULAR good response versus nonresponse | ||
---|---|---|---|---|---|---|---|---|---|---|
n = 383 | n = 208 (good = 119, non = 89) | |||||||||
Linear regression models | Logistic regression models | |||||||||
Univariate | Multivariate | Univariate | Multivariate | |||||||
rs3761847 | 9 | 122,730,060 | 11 | 167 | 1.95 (1.26) | Coef. −0.24 | Coef. −0.23 | OR 0.61 | OR 0.58 | |
12 | 165 | 0.35 | 1.82 (1.31) | CI −0.43, −0.06 | CI −0.40, −0.06 | CI 0.41, 0.92 | CI 0.37, 0.91 | |||
22 | 51 | 1.38 (1.19) | P 0.009 | P 0.009 | P 0.018 | P 0.019 |
Values were significant for P < 0.05.
The analyses of response were modeled for the minor (G) allele, which is the risk allele for RA. Additive models were used with the homozygote for the two major alleles 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 non-responders according to the EULAR response criteria.
Values were presented as regression coefficient (coef.), 95% confidence intervals (CI) and P-values (P) for linear regression analyses and as odds ratio (OR), 95% confidence intervals (CI) and P-values (P) for logistic regression analyses.
In multivariate models covariates included were number of years completed at school, health assessment questionnaire (HAQ) and disease activity score at baseline.
SNP: single nucleotide polymorphism; Ch: chromosome; Genotype 1 = major allele, 2 = minor allele; MAF: minor allele frequency; DAS: disease activity score.