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. Author manuscript; available in PMC: 2014 Jul 18.
Published in final edited form as: Genes Immun. 2014 Mar 6;15(4):210–217. doi: 10.1038/gene.2014.6

Table 3.

Forward stepwise regression models for anti-La

Marker Estimates from the multiple regression model
Single marker
OR 95% CI P-value Class Gene OR P-value
(A) Forward stepwise regression (BIC = 1677.92)
 rs2894254 (C<A) 3.38 2.74–4.16 3.40 × 10−30 Class III c6orf10—BTNL2 3.38 3.40 × 10 −30
(B) Conditional on HLA-DRB1*03:01 as a covariate (BIC = 1673.31)
 HLA-DRB1*03:01 2.50 2.00–3.13 1.40 × 10−15 HLA-DRB1 3.15 3.31 × 10 −28
 rs9268832 (C<A) 1.64 1.32–2.04 6.53 × 10−06 Class II DRA-DRB5 2.31 2.46 × 10 −17
(C) Forward stepwise regression starting from AA-DRB1*77T (BIC =1672.53)
 Thr77 DRB1 0.40 0.32–0.50 1.33 × 10−15 HLA-DRB1 0.32 2.40 × 10 −28
 rs2227139 (C<A) 1.64 1.32–2.04 6.47 × 10−06 Class II HLA-DRA 2.32 1.86 × 10 −17

Abbreviations: BIC, bayesian information criterion; CI, confidence interval; OR, odds ratio. SNPs have their minor and major alleles noted in brackets (A<G where A is the minor allele, for example), the OR is with respect to the minor allele. For BIC see Materials and Methods.

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