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Table 3 The association between genetic variations (SNPs) in the CDKAL1 gene and the likelihood of developing gestational diabetes mellitus in the general subjects

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 = 502

N = 500

(95% CI)1

(95% CI)1

rs7754840 G > C

Codominant Model

GG

219 (45.33)

179(35.80)

1(ref)

 

1(ref)

 

GC

228 (43.54)

241(48.20)

1.316 (1.095–1.581)

0.0034

1.251 (0.943–1.660)

0.121

CC

56 (11.13)

80(16.00)

1.748 (1.178–2.529)

0.006

1.715 (1.133–2.595)

0.011

Allele Model

G

665 (66.2)

599 (59.9)

1(ref)

 

1(ref)

 

C

339 (33.7)

401 (40.1)

1.313 (1.095–1.575)

0.003

0.767 (0.633–0.928)

0.006

Dominant Model

GG

219(45.33)

179(35.80)

1(ref)

 

1(ref)

 

CC + GC

283 (56.37)

321 (64.2)

1.388 (1.076–1.789)

0.11

0.745 (0.570–0.975)

0.032

Recessive Model

GC + GG

446 (88.84)

420 (84.00)

1(ref)

 

1(ref)

 

CC

56 (11.13)

80(16.00)

1.517 (1.051–2.189)

0.026

0.659 (0.449–0.968)

0.034

Over dominant Model

CC + GG

275 (54.78)

259 (51.8)

1(ref)

 

1(ref)

 

GC

228(43.54)

241(48.20)

0.887 (0.692–1.137)

0.344

0.920 (0.708–1.194)

0.529

rs7756992 A > G

Codominant Model

AA

160 (31.87)

141 (28.20)

1(ref)

 

1(ref)

 

AG

234 (46.61)

244 (48.80)

1.105 (0.93–1.313)

0.256

0.973 (0.696–1.360)

0.871

GG

108 (21.51)

115 (23.00)

0.828 (0.585–1.171)

0.285

0.833 (0.578-1.200)

0.325

Allele Model

A

554 (55.10)

526 (52.60)

1(ref)

 

1(ref)

 

G

450 (44.80)

474 (47.70)

1.109 (0.9306–1.468)

0.247

0.889 (0.739–1.070)

0.212

Dominant Model

AA

160 (31.87)

141 (28.20)

1(ref)

 

1(ref)

 

GG + AG

342 (68.13)

359 (71.80)

1.91 (0.9088–1.561)

0.205

0.848 (0.638–1.128)

0.258

Recessive Model

AG + AA

394 (78.49)

385 (77.00)

1(ref)

 

1(ref)

 

GG

108 (21.51)

115 (23.00)

1.09 (0.809–1.468)

0.5718

0.916 (0.669–1.254)

0.583

Overdominant Model

GG + AA

268 (53.39)

256 (51.20)

1(ref)

 

1(ref)

 

AG

234 (46.61)

244 (48.80)

0.916 (0.715–1.174)

0.488

0.925 (0.713–1.202)

0.560

  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