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Table 3 LIN28B rs7759938 genotype and allele frequencies in patients with chronic HBV infection, HBV infection resolvers and healthy controls

From: Association of LIN28B polymorphisms with chronic hepatitis B virus infection

 

Patients

(n = 515)

Resolvers

(n = 97)

Controls

(n = 169)

Patients vs. resolvers

Patients vs. controls

Resolvers vs. controls

P

OR (95%CI)

P

OR (95%CI)

P

OR (95%CI)

Genotype

 Codominant

TT

317 (61.6)

50 (51.5)

85 (50.3)

Reference

 

Reference

 

Reference

 

TC

166 (32.2)

38 (39.2)

75 (44.4)

0.113

0.689 (0.434–1.093)

0.005a

0.593 (0.413–0.853)

0.576

0.861 (0.510–1.454)

CC

32 (6.2)

9 (9.3)

9 (5.3)

0.150

0.561 (0.253–1.245)

0.904

0.953 (0.438–2.074)

0.289

1.700 (0.633–4.565)

 Dominant

TT

317 (61.6)

50 (51.5)

85 (50.3)

Reference

 

Reference

 

Reference

 

TC + CC

198 (38.4)

47 (48.5)

84 (49.7)

0.065

0.664 (0.430–1.028)

0.010

0.632 (0.445–0.897)

0.844

0.951 (0.577–1.567)

 Recessive

TT + TC

483 (93.8)

88 (90.7)

160 (94.7)

Reference

 

Reference

 

Reference

 

CC

32 (6.2)

9 (9.3)

9 (5.3)

0.271

0.648 (0.299–1.404)

0.673

1.178 (0.550–2.521)

0.222

1.818 (0.696–4.748)

 Overdominant

TT + CC

349 (67.8)

59 (60.8)

94 (55.6)

Reference

 

Reference

 

Reference

 

TC

166 (32.2)

38 (39.2)

75 (44.4)

0.184

0.739 (0.472–1.155)

0.004

0.594 (0.418–0.850)

0.409

0.807 (0.486–1.342)

 Additive

 

–

–

–

0.058

0.725 (0.520–1.010)

0.033

0.741 (0.562–0.977)

0.848

0.962 (0.645–1.435)

Allele

 

T

800 (77.7)

138 (71.1)

245 (72.5)

Reference

 

Reference

 

Reference

 

C

230 (22.3)

56 (28.9)

93 (27.5)

0.048

0.708 (0.503–0.999)

0.051

0.757 (0.572–1.002)

0.738

1.069 (0.723–1.582)

  1. Data are presented as n (%). aPc (P value by Bonferroni correction) = 0.010. Genotypic association tests between groups assuming codominant, dominant or log-additive genetic models were carried out by univariate logistic regression using SNPstats and odds ratios (OR) with 95% confidence interval (CI) were calculated. Multiple testing correction was performed by the Bonferroni method