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Table 4 Frequencies of genotypes of tag SNPs in the GMA and non-GMA goups

From: Polymorphism in autophagy-related genes LRP1 and CAPZA1 may promote gastric mucosal atrophy

Gene

SNP

Genotype

GMA

non-GMA

Genetic model

OR(95% CI)

P value*

n = 94

n = 106

LRP1

rs1799986

G/G

68

(72.3)

77

(72.6)

Allele model

1.107

(0.637–1.924)

0.720

G/A

23

(24.5)

28

(26.4)

Dominant model

1.015

(0.545–1.891)

0.962

A/A

3

(3.2)

1

(0.9)

Recessive model

3.462

(0.354–33.861)

0.257

rs1800137

C/C

62

(66.0)

67

(63.2)

Allele model

0.715

(0.439–1.166)

0.178

C/T

30

(31.9)

28

(26.4)

Dominant model

0.887

(0.496–1.586)

0.685

T/T

2

(2.1)

11

(10.4)

Recessive model

0.188

(0.041–0.870)

0.018

rs1800159

G/G

28

(29.8)

34

(32.1)

Allele model

0.995

(0.670–1.476)

0.979

G/A

48

(51.1)

49

(46.2)

Dominant model

1.113

(0.610–2.031)

0.727

A/A

18

(19.1)

23

(21.7)

Recessive model

0.855

(0.428–1.706)

0.656

rs11172113

T/T

55

(58.5)

73

(68.9)

Allele model

1.129

(0.696–1.831)

0.623

T/C

37

(39.4)

24

(22.6)

Dominant model

1.569

(0.878–2.804)

0.128

C/C

2

(2.1)

9

(8.5)

Recessive model

0.234

(0.049–1.113)

0.049

rs11837145

C/C

26

(27.7)

43

(40.6)

Allele model

1.138

(0.766–1.692)

0.523

C/A

52

(55.3)

38

(35.8)

Dominant model

1.785

(0.984–3.238)

0.055

A/A

16

(17.0)

25

(23.6)

Recessive model

0.665

(0.330–1.339)

0.251

CAPZA1

rs4423118

G/G

36

(38.3)

57

(53.8)

Allele model

1.341

(0.884–2.035)

0.168

G/A

47

(50.0)

34

(32.1)

Dominant model

1.874

(1.066–3.296)

0.029

A/A

11

(11.7)

15

(14.2)

Recessive model

0.804

(0.350–1.849)

0.607

rs4525162

C/C

30

(31.9)

34

(32.1)

Allele model

0.947

(0.639–1.403)

0.785

C/T

41

(43.6)

43

(40.6)

Dominant model

1.007

(0.556–1.827)

0.981

T/T

23

(24.5)

29

(27.4)

Recessive model

0.860

(0.456–1.623)

0.642

rs10885188

C/C

24

(25.5)

33

(31.1)

Allele model

1.021

(0.689–1.514)

0.917

C/A

53

(56.4)

49

(46.2)

Dominant model

1.319

(0.710–2.450)

0.381

A/A

17

(18.1)

24

(22.6)

Recessive model

0.754

(0.377–1.511)

0.426

rs58618380

T/T

35

(37.2)

56

(52.8)

Allele model

1.254

(0.827-1.900)

0.287

T/A

50

(53.2)

34

(32.1)

Dominant model

1.888

(1.072–3.325)

0.027

A/A

9

(9.6)

16

(15.1)

Recessive model

0.596

(0.250–1.420)

0.239

rs71481135

T/T

67

(71.3)

74

(69.8)

Allele model

0.928

(0.546–1.577)

0.783

T/C

24

(25.5)

28

(26.4)

Dominant model

0.932

(0.507–1.714)

0.821

C/C

3

(3.2)

4

(3.8)

Recessive model

1.000

(0.183–3.857)

0.823

LAMP1

rs9577230

T/T

74

(78.7)

73

(68.9)

Allele model

0.659

(0.376–1.157)

0.145

T/C

17

(18.1)

29

(27.4)

Dominant model

0.598

(0.314–1.137)

0.115

C/C

3

(3.2)

4

(3.8)

Recessive model

0.841

(0.183–3.857)

1.000

rs12871648

A/A

41

(43.6)

39

(36.8)

Allele model

0.971

(0.645–1.462)

0.887

A/C

39

(41.5)

57

(53.8)

Dominant model

0.753

(0.427–1.327)

0.326

C/C

14

(14.9)

10

(9.4)

Recessive model

1.680

(0.708–3.986)

0.236

  1. Genotype distribution and three genetic models, odds ratio, and p-value for each tag SNPs between the GMA and non-GMA groups are shown.
  2. *Alleles and genotypes in the three genetic models were compared using chi-squared or Fisher’s exact tests (OR, odds ratio; CI, confidence interval).