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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)