Table 3.

Logistic regression and conditional analysis of HLA $\mathit{\alpha }$/$\mathit{\beta }$ heterodimers in SSc autoantibody subsets

SSc case group (n)	HLA $\mathit{\alpha }$/$\mathit{\beta }$ heterodimer	OR (95% CI)	P value
AA AFA+ SSc vs. controls	DRA1*01:01/DRB1*08:04	7.4 (4.9-11.3)	2.6 × 10−19
SSc = 129; control = 946	DQA1*01:02/DQB1*06:09	4.6 (2.6-7.9)	4.0 × 10−7†
AA ATA+ SSc vs. controls	DPA1*02:01/DPB1*13:01	4.8 (3.2-7.1)	8.4 × 10−14
SSc = 183; control = 946	DQA1*05:01/DQB1*02:01	0.2 (0.1-0.5)	5.3 × 10−6†
	DQA1*05:01/DQB1*03:19	3.3 (2.0-5.5)	1.6 × 10−5†
EA ATA+ SSc vs. controls	DPA1*02:01/DPB1*13:01	15.7 (10.1-24.2)	1.2 × 10−25
SSc = 115; control = 5437	DRA1*01:01/DRB1*11:04	6.4 (3.9-10.4)	2.9 × 10−11†
EA ACA+ SSc vs. controls	DRA1*01:01/DRB1*07:01	0.1 (0.05-0.2)	4.8 × 10−20
SSc = 239; control = 5,437	DQA1*01:01/DQB1* 05:01	2.0 (1.5-2.6)	1.8 × 10−6†

^†Significance upon conditioning on top associated α/β heterodimer(s).