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. 2013 Sep 11;8(9):e74126. doi: 10.1371/journal.pone.0074126

Table 3. IL-10 SNPs and risk of ischemic stroke in 1475 participants.

SNPs N cases % Odds Ratios (95%CI)* Odds Ratios (95%CI)#
rs1800872
Mixed Inheritance Model
AA 615 54 8.8% 1.39 (0.72-2.68) 1.42 (0.73-2.76)
AC 682 40 5.9% 0.88 (0.44-1.73) 0.86 (0.44-1.71)
CC 178 12 6.7% 1 1
P for trends 0.124† 0.104 0.072
Dominant Inheritance Model
AA 615 54 8.8% 1.54 (1.03-2.30) 1.60 (1.06-2.39)
CC+AC 860 52 6.0% 1 1
P values 0.045 0.036 0.024
rs1554286
Mixed Inheritance Model
TT 597 52 8.7% 1.29 (0.70-2.37) 1.33 (0.72-2.46)
CT 676 39 5.8% 0.79 (0.42-1.48) 0.79 (0.42-1.48)
CC 202 15 7.4% 1 1
P for trends 0.127† 0.092
Dominant Inheritance Model
TT 597 52 8.7% 1.54 (1.02-2.30) 1.59 (1.06-2.39)
CC+CT 878 54 6.2% 1 1
P values 0.062 0.038 0.025
rs3021094
Mixed Inheritance Model
AA 522 28 5.4% 1 1
AC 679 47 6.9% 1.31 (0.80-2.14) 1.33 (0.81-2.17)
CC 274 31 11.3% 2.48 (1.44-4.29) 2.59 (1.49-4.48)
P for trends 0.008† 0.003 0.002
Dominant Inheritance Model
AA 522 28 5.4% 1 1
CC+AC 953 78 8.2% 1.62 (1.03-2.54) 1.64 (1.04-2.60)
P values 0.045 0.038 0.056
Scores of SNPs^
0 412 22 5.3% 1 1
1-2 584 37 6.3% 1.17 (0.67-2.03) 1.19 (0.68-2.07)
3 479 47 9.8% 2.08 (1.22-3.55) 2.16 (1.26-3.70)
P for trends 0.021† 0.008 0.006
*

Odds ratios (95%CI) and p values were calculated by multiple logistic models after adjusting for age, sex, smoking, systolic blood pressure, cholesterol, glucose, and body mass index.

# Odds ratios(95%CI) and p values were calculated by multiple logistic models after adjusting for age, sex, smoking, systolic blood pressure, cholesterol, glucose, body mass index, and IL-10(yes/no top tertile).

† P for trends were calculated by Cochran-Armitage trend test.

P values were calculated by chi-square tests.

^

Score of SNPs was summary of scores of rs1800872 (if AA, then score=1, if CC+AC, then score=0), rs1554286 (if TT, then score=1, if CC+CT, then score=0), and rs3021094 (if CC+AC, then score=1, if AA, then score=0). Those with score value 1 and 2 were combined into one group in order to increase the statistic power.