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Table 4 The association between genetic variations (SNPs) in the CDKAL1 gene and the risk of developing GDM in the age 30 or older

From: Association of CDKAL1 gene polymorphisms variations with gestational diabetes mellitus risk in women: A case-control study and meta-analysis

Model

Control (Genotype Freq. & %)

GDM patients (Genotype Freq. & %)

Crude OR

Crude P

Adjusted OR

Adjusted P

N = 198

N = 308

(95% CI)1

(95% CI)1

rs7754840 G > C

Codominant Model

GG

85 (42.93)

111(36.04)

1(ref)

 

1(ref)

 

CG

88 (44.44)

148(48.05)

1.288 (0.875–1.896)

0.200

1.282 (0.862–1.907)

0.220

CC

25(12.63)

49(15.91)

1.501 (0.859–2.623)

0.154

1.538 (0.868–2.727)

0.140

Allele Model

G

258(65.1)

370(60)

1(ref)

 

1(ref)

 

C

138(34.8)

246(39.9)

1.243 (0.956–1.616)

0.104

0.795 (0.608–1.039)

0.093

Dominant Model

GG

85 (42.93)

111(36.04)

1(ref)

 

1(ref)

 

CC + GC

113 (57.07)

197 (63.96)

1.335 (0.927–1.923)

0.121

1.342 (0.922–1.952)

0.125

Recessive Model

GC + GG

173 (87.37)

259 (84.09)

1(ref)

 

1(ref)

 

CC

25(12.63)

49(15.91)

1.309 (0.779–2.199)

0.309

1.360 (0.801–2.309)

0.254

Over dominant Model

CC + GG

110 (55.56)

160 (51.95)

1(ref)

 

1(ref)

 

GC

88(44.44)

148(48.05)

0.865 (0.604–1.238)

0.427

1.38 (0.787–1.643)

0.493

rs7756992 A > G

Codominant Model

AA

65(32.83)

90(29.22)

1(ref)

 

1(ref)

 

AG

88(44.44)

148(48.05)

1.215 (0.803–1.838)

0.357

1.179 (0.773–1.799)

0.445

GG

45(22.73)

70(22.73)

1.123 (0.687–1.837)

0.643

1.165 (0.698–1.943)

0.559

Allele Model

A

218(0.55)

328(0.532)

1(ref)

 

1(ref)

 

G

178(0.449)

288(0.467)

1.075 (0.835–1.386)

0.574

1.076 (0.830–1.394)

0.580

Dominant Model

AA

65(32.83)

90(29.22)

1(ref)

 

1(ref)

 

GG + AG

133 (67.17)

218 (70.78)

1.184 (0.805–1.740)

0.390

1.161 (0.783–1.721)

0.457

Recessive Model

AG + AA

153 (77.27)

238 (77.27)

ref

 

Ref

 

GG

45(22.73)

70(22.73)

1.000 (0.653–1.531)

1.000

1.025 (0.663–1.585)

0.912

Overdominant Model

GG + AA

110 (55.56)

160 (51.95)

1(ref)

 

1(ref)

 

AG

88(44.44)

148(48.05)

1.156 (0.808–1.655)

0.427

1.118 (0.775–1.614)

0.551

  1. To identify factors associated to the outcome, we used multiple logistic regression analyses. The models included adjustments for age, pre-pregnancy body mass index, systolic and diastolic blood pressure, and parity. Variables with p values of 0.05 or lower were considered statistically significant