Skip to main content
. 2011 Sep 26;18(1):71. doi: 10.1186/1423-0127-18-71

Table 2.

Distribution of C4 polymorphisms in individuals with or without Graves' disease

Variations GD P value, individuala
[OR (95%CI), individual]c
P value b OR (95%CI)d
No, N (%) Yes, N (%)
C4 CNV
4 57 (35.6) 314 (50.3) 0.001 [10.994 (6.277-19.255)] 0.002 (Reference)
< 4 52 (32.5) 134 (21.5) 0.003 [0.512 (0.338-0.776)] 0.389 (0.245-0.615)
> 4 51 (31.9) 176 (28.2) 0.361 0.497 (0.317-0.780)
C4A CNV
2 83 (51.9) 395 (63.3) 0.008 [1.732 (1.190-2.520)] 0.011 (Reference)
< 2 33 (20.6) 79 (12.7) 0.010 [0.584 (0.360-0.948)] 0.509 (0.307-0.843)
> 2 44 (27.5) 150 (24.0) 0.365 0.628 (0.404-0.977)
C4B CNV
2 67 (41.9) 377 (60.4) 2.420 × 10-5 [2.621 (1.791-3.835)] 1.328 × 10-4 (Reference)
< 2 53 (33.1) 143 (22.9) 0.008 [0.487 (0.322-0.738)] 0.374 (0.240-0.584)
> 2 40 (25) 104 (16.7) 0.015 [0.545 (0.347-0.856)] 0.391 (0.241-0.636)
C4 polymorphisms
A2B2 39 (24.4) 254 (40.7) 1.395 × 10-4 [2.671 (1.761-4.052)] 3.87 × 10-6 (Reference)
A2B1 22 (13.8) 78 (12.5) 0.672 0.409 (0.219-0.763)
A3B2 16 (10.0) 64 (10.3) 0.924 0.539 (0.273-1.064)
A2B3 5 (3.1) 44 (7.1) 0.067 0.961 (0.343-2.697)
A3B1 10 (6.3) 32 (5.1) 0.574 0.373 (0.159-0.876)
A1B2 6 (3.8) 34 (5.4) 0.384 0.687 (0.257-1.836)
Other 62 (38.8) 118 (18.9) 0.242 (0.148-0.396)

Abbreviations: GD, Graves' disease; CNV, copy number variation; OR, odds ratio; CI, confidence interval; N, number.

aIndividual C4 CNVs and polymorphisms between individuals with or without GD were evaluated by Fisher's exact test using 2 × 2 contingency tables.

b CNV of C4, C4A and C4B between individuals with or without GD were evaluated by Fisher's exact test using 3 × 2 contingency tables.C4 polymorphisms between individuals with or without GD were evaluated by Fisher's exact test using 7 × 2 contingency tables. The p value was estimated by 100,000 Monte Carlo simulations with 99% confidence intervals (CI).

cORs and 95% CIs were estimated from logistic regression models adjusting for age.

dORs and 95% CIs were estimated from logistic regression models adjusting for age.