A pharmacogenetic signature of high response to Copaxone in late-phase clinical-trial cohorts of multiple sclerosis

Table 3 The four-SNP model coefficients and odds ratios with 95% Bayesian confidence intervals

SNP rsID	Gene	Regression coefficient (95% CI)	Odds Ratio (95% CI)
rs80191572	UVRAG	−0.68 (−1.06, −0.29)	0.50 (0.35, 0.75)
rs28724893	HLA-DQB2	−0.52 (−0.75, −0.29)	0.59 (0.47, 0.75)
rs1789084	MBP	−0.61 (−0.98, −0.25)	0.54 (0.38, 0.78)
rs139890339	ZAK(CDCA7)	−1.46 (−2.31, −0.63)	0.23 (0.10, 0.53)

Coefficients of the four-SNP model were obtained by fitting a logistic regression model on data from the patients treated with Copaxone in the GALA DB and FORTE DB studies. The SNP from MBP was coded according to a dominant inheritance model. All the other SNPs were coded according to an additive inheritance model. The logistic regression model estimated the log odds of being relapse-free conditional on the four SNPs. A negative regression coefficient for a given SNP implies that the major allele (coded as the reference level in the logistic regression model) was associated with increased odds of being relapse-free while the minor allele was associated with increased odds of relapses

ISSN: 1756-994X