Table 1 Associations of CASP7genotypes with the risk of cervical cancer

From: CASP7 variants modify susceptibility to cervical cancer in Chinesewomen

Variants Genotypes

Cases (N = 1,486)

Controls (N = 1,301)

P a

Crude OR (95% CI)

P

Adjusted OR (95%CI)a

P b

CASP7- rs4353229

HWE = 0.566

      

 CC

236 (15.9)

226 (17.4)

 

1.00

 

1.00

 

 CT

708 (47.6)

653 (50.2)

 

1.04 (0.84–1.28)

0.727

1.05 (0.84–1.31)

0.687

 TT

542 (36.5)

422 (32.4)

 

1.23 (0.99–1.54)

0.068

1.19 (0.94–1.50)

0.154

 Additive model

  

0.077

1.12 (1.01–1.25)

0.036

1.10 (0.98–1.23)

0.110

 Dominant model

  

0.291

1.11 (0.91–1.36)

0.291

1.10 (0.89–1.36)

0.367

 Recessive model

  

0.025

1.20 (1.02–1.40)

0.026

1.15 (0.97–1.35)

0.106

CASP7- rs12247479

HWE = 0.298

      

 GG

1,153 (77.6)

1,023 (78.6)

 

1.00

 

1.00

 

 AG

315 (21.2)

257 (19.8)

 

1.09 (0.90–1.31)

0.375

1.08 (0.89–1.31)

0.431

 AA

18 (1.2)

21 (1.6)

 

0.76 (0.40–1.43)

0.397

0.69 (0.35–1.39)

0.301

 Additive model

  

0.448

1.03 (0.88–1.22)

0.712

1.02 (0.86–1.21)

0.830

 Dominant model

  

0.508

1.06 (0.89–1.27)

0.508

1.05 (0.87–1.27)

0.593

 Recessive model

  

0.366

0.75 (0.40–1.41)

0.367

0.68 (0.34–1.36)

0.279

CASP7- rs10787498

HWE = 0.034

      

 TT

929 (62.5)

857 (65.9)

 

1.00

 

1.00

 

 GT

493 (33.2)

383 (29.4)

 

1.19 (1.01–1.40)

0.038

1.19 (1.00–1.41)

0.045

 GG

64 (4.3)

61 (4.7)

 

0.97 (0.67–1.39)

0.860

0.91 (0.62–1.34)

0.637

 Additive model

  

0.104

1.09 (0.96–1.25)

0.173

1.08 (0.94–1.24)

0.257

 Dominant model

  

0.066

1.16 (0.99–1.35)

0.066

1.15 (0.98–1.36)

0.090

 Recessive model

  

0.627

0.92 (0.64–1.31)

0.626

0.86 (0.59–1.26)

0.438

CASP7- rs1127687

HWE = 0.278

      

 GG

896 (60.3)

804 (61.8)

 

1.00

 

1.00

 

 AG

518 (34.9)

429 (33.0)

 

1.08 (0.92–1.27)

0.325

1.08 (0.91–1.28)

0.371

 AA

72 (4.9)

68 (5.2)

 

0.95 (0.67–1.34)

0.771

0.89 (0.61–1.28)

0.512

 Additive model

  

0.554

1.03 (0.91–1.17)

0.616

1.02 (0.89–1.16)

0.829

 Dominant model

  

0.417

1.07 (0.91–1.24)

0.418

1.05 (0.90–1.24)

0.533

 Recessive model

  

0.646

0.92 (0.66–1.30)

0.645

0.86 (0.60–1.24)

0.416

Combined effects of four putativerisk genotypes by the dominant genetic model

       

 0

235 (15.8)

223 (17.1)

0.078

1.00

 

1.00

 

 1

264 (17.8)

227 (17.5)

 

1.10 (0.86–1.42)

0.449

1.09 (0.83–1.42)

0.541

 2

587 (39.5)

537 (41.3)

 

1.04 (0.84–1.29)

0.741

1.03 (0.82–1.30)

0.784

 3

308 (20.7)

263 (20.2)

 

1.11 (0.87–1.42)

0.401

1.10 (0.85–1.42)

0.478

 4

92 (6.2)

51 (3.9)

 

1.71 (1.16–2.52)

0.007

1.62 (1.08–2.43)

0.020

    

Ptrend = 0.076

 

Ptrenda= 0.127

 

 0–3

1,394 (93.8)

1,250 (96.1)

0.007

1.00

 

1.00

 

 4

92 (6.2)

51 (3.9)

 

1.62 (1.14–2.30)

0.007

1.54 (1.07–2.22)

0.021

  1. aχ2test for genotype distributions between cases and controls;
  2. bAdjustedfor age, age at primiparity, menopausal status, BMI in logistic regress models.
  3. Theresult were in bold, if P <0.05.