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Table 3 Logistic regression analysis for associations between selected SNPs and HNSCC risk

From: Association of microRNA polymorphisms with the risk of head and neck squamous cell carcinoma in a Chinese population: a case–control study

SNP

Genotypea

Controls [number (%)]

Oral cancer patients [number (%)]

Adjusted OR (95% CI)b

P b

P c

Non-oral cancer patients [number (%)]

Adjusted OR (95% CI)b

P b

miR-605 rs2043556

AA

798 (51.6)

278 (60.3)

1.00

55 (48.2)

1.00

 

AG

631 (40.8)

160 (34.7)

0.74 (0.590.93)

0.009

0.045

52 (45.6)

1.19 (0.80–1.78)

0.396

GG

119 (7.7)

23 (5.0)

0.56 (0.350.89)

0.015

0.038

7 (6.1)

0.85 (0.38–1.94)

0.708

Dominant model

NA

NA

0.71 (0.580.88)

0.002

0.010

NA

1.14 (0.77–1.67)

0.518

Recessive model

NA

NA

0.63 (0.401.00)

0.050

0.125

NA

0.79 (0.36–1.75)

0.561

Additive model

NA

NA

0.74 (0.620.89)

0.001

0.005

NA

1.04 (0.77–1.42)

0.787

miR-196a2 rs11614913

AA

503 (32.5)

122 (26.4)

1.00

40 (35.1)

1.00

 

AG

755 (48.7)

228 (49.4)

1.25 (0.98–1.61)

0.075

0.188

56 (49.1)

0.93 (0.61–1.43)

0.736

GG

292 (18.8)

112 (24.2)

1.64 (1.222.21)

0.001

0.005

18 (15.8)

0.76 (0.43–1.37)

0.366

Dominant model

NA

NA

1.36 (1.081.72)

0.010

0.025

NA

0.88 (0.59–1.33)

0.547

Recessive model

NA

NA

1.42 (1.111.83)

0.006

0.030

NA

0.80 (0.47–1.35)

0.402

Additive model

NA

NA

1.28 (1.101.48)

0.001

0.003

NA

0.88 (0.67–1.17)

0.386

miR-149 rs2292832

AA

726

226

1.00

57

1.00

 

AG

647

193

0.96 (0.77–1.19)

0.696

0.696

38

0.76 (0.49–1.17)

0.206

GG

175

42

0.76 (0.52–1.10)

0.141

0.235

19

1.37 (0.79–2.39)

0.268

Dominant model

NA

NA

0.91 (0.74–1.13)

0.399

0.499

NA

0.89 (0.60–1.31)

0.556

Recessive model

NA

NA

0.77 (0.54–1.10)

0.156

0.260

NA

1.55 (0.91–2.62)

0.107

Additive model

NA

NA

0.90 (0.77–1.06)

0.198

0.248

NA

1.05 (0.79–1.39)

0.735

miR-146a rs2910164

GG

497

154

1.00

40

  

GC

773

228

0.95 (0.75–1.21)

0.685

0.861

53

0.82 (0.53–1.27)

0.376

CC

278

80

0.93 (0.68–1.27)

0.656

0.656

21

0.90 (0.51–1.57)

0.702

Dominant model

NA

NA

0.95 (0.76–1.18)

0.633

0.633

NA

0.84 (0.56–1.27)

0.407

Recessive model

NA

NA

0.96 (0.73–1.27)

0.771

0.771

NA

1.01 (0.61–1.66)

0.975

Additive model

NA

NA

0.96 (0.83–1.12)

0.629

0.629

NA

0.93 (0.70–1.23)

0.589

miR-608 rs4919510

AA

509

137

1.00

40

  

AG

762

232

1.14 (0.90–1.45)

0.283

0.472

53

0.85 (0.55–1.31)

0.464

GG

278

93

1.23 (0.91–1.67)

0.179

0.224

21

0.97 (0.56–1.70)

0.927

Dominant model

NA

NA

1.17 (0.93–1.46)

0.187

0.312

NA

0.88 (0.59–1.32)

0.546

 

Recessive model

NA

NA

1.14 (0.87–1.48)

0.345

0.431

NA

1.07 (0.65–1.77)

0.787

 

Additive model

NA

NA

1.11 (0.96–1.29)

0.160

0.267

NA

0.96 (0.73–1.28)

0.794

  1. Italic value indicate significance of p value (p < 0.05)
  2. NA not available
  3. a miR-605 rs2043556 was genotyped in 575 cases and 1548 controls; miR-196a2 was genotyped in 576 cases and 1550 controls; miR-149 rs2292832 was genotyped in 575 cases and 1548 controls; miR-146a rs2910164 was genotyped in 576 cases and 1548 controls; and miR-608 rs4919510 was genotyped in 576 cases and 1549 controls
  4. bAdjusted by age, sex, smoking status, and drinking status
  5. c P values of multiple comparisons for false discovery rate using the FDR method (n = 5, refer to the number of SNPs)