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Table 4 Genetic patterns analysis of APP in Guizhou Han population

From: Association of APP gene polymorphisms and promoter methylation with essential hypertension in Guizhou: a case–control study

SNP

Nation

Genetic patterns

Genotype

Control group

EH group

OR (95% CI)

P

Adjusted OR (95% CI)a

P

rs2211772

Han population

Codominat

TT

53 (50%)

64 (56%)

1

 

1

 

TC

46 (43%)

49 (43%)

0.882 (0.513–1.518)

0.651

0.955 (0.536–1.700)

0.875

CC

8 (7%)

1 (1%)

0.104 (0.013–0.854)

0.035

0.103 (0.012–0.908)

0.041

Dominant

TT

53 (50%)

64 (56%)

1

 

1

 

TC-CC

54 (50%)

50 (44%)

0.767 (0.452–1.302)

0.326

0.815 (0.466–1.428)

0.476

Recessive

TT-TC

99 (93%)

113 (99%)

1

 

1

 

CC

8 (7%)

1 (1%)

0.11 (0.013–0.891)

0.039

0.105 (0.012–0.914)

0.041

Overdominant

TT-CC

61 (57%)

65 (57%)

1

 

1

 

TC

46 (43%)

49 (43%)

1.00 (0.587–1.703)

0.999

1.07 (0.606–1.887)

0.816

Log-additive

0.669 (0.42–1.065)

0.09

0.701 (0.43–1.143)

0.154

rs2040273

Miao population

Codominat

AA

31 (28%)

46 (42%)

1

 

1

 

AG

58 (52%)

47 (43%)

0.546 (0.301–0.991)

0.047

0.527 (0.28–0.991)

0.047

GG

22 (20%)

17 (15%)

0.521 (0.239–1.136)

0.101

0.549 (0.24–1.259)

0.157

Dominant

AA

31 (28%)

46 (42%)

1

 

1

 

AG-GG

80 (72%)

64 (58%)

0.539 (0.307–0.945)

0.031

0.533 (0.294–0.965)

0.038

Recessive

AA-AG

89 (80%)

93 (85%)

1

 

1

 

GG

22 (20%)

17 (15%)

0.739 (0.369–1.484)

0.396

0.791 (0.376–1.664)

0.537

Overdominant

AA-GG

53 (48%)

63 (57%)

1

 

1

 

AG

58 (52%)

47 (43%)

0.682 (0.401–1.159)

0.157

0.642 (0.364–1.131)

0.125

Log-additive

0.689 (0.47–1.008)

0.055

0.699 (0.466–1.046)

0.082

  1. Bold indicates P < 0.05
  2. OR odds ratio, 95%CI 95% confidence interval
  3. aAdjust age, sex, BMI