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Table 2 LIN28B rs314280 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

GG

313 (60.8)

49 (50.5)

83 (49.1)

Reference

 

Reference

 

Reference

 

GA

170 (33.0)

38 (39.2)

76 (45.0)

0.130

0.700 (0.441–1.113)

0.005a

0.593 (0.413–0.853)

0.535

0.847 (0.501–1.433)

AA

32 (6.2)

10 (10.3)

10 (5.9)

0.074

0.501 (0.232–1.083)

0.668

1.178 (0.401–1.797)

0.271

1.694 (0.658–4.358)

 Dominant

GG

313 (60.8)

49 (50.5)

83 (49.1)

Reference

 

Reference

 

Reference

 

AA+GA

202 (39.2)

48 (49.5)

86 (50.9)

0.059

0.659 (0.426–1.018)

0.008

0.623 (0.439–0.884)

0.826

0.945 (0.574–1.558)

 Recessive

GG + GA

483 (93.8)

87 (89.7)

159 (94.1)

Reference

 

Reference

 

Reference

 

AA

32 (6.2)

10 (10.3)

10 (5.9)

0.148

0.576 (0.273–1.215)

0.889

1.053 (0.506–2.191)

0.196

1.828 (0.732–4.562)

 Overdominant

GG + AA

345 (67.0)

59 (60.8)

93 (55.0)

Reference

 

Reference

 

Reference

 

GA

170 (33.0)

38 (39.2)

76 (45.0)

0.240

0.765 (0.489–1.196)

0.005

0.603 (0.423–0.859)

0.358

0.788 (0.474–1.310)

 Additive

–

–

–

–

0.038

0.705 (0.507–0.981)

0.036

0.744 (0.564–0.981)

0.709

0.927 (0.624–1.378)

Allele

 

G

796 (77.3)

136 (70.1)

242 (71.6)

Reference

 

Reference

 

Reference

 
 

A

234 (22.7)

58 (29.9)

96 (28.4)

0.031

0.689 (0.491–0.969)

0.034

0.741 (0.561–0.978)

0.714

1.075 (0.730–1.584)

  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