Research Article

The Genetic Polymorphisms in the MIR17HG Gene Are Associated with the Risk of Head and Neck Squamous Cell Carcinoma in the Chinese Han Population

Table 6

The relationship of MIR17HG variants with nasopharyngeal SCC and thyroid SCC risk.

SNP IDAllele/genotypeNasopharyngeal SCCThyroid SCC
CaseControlOR (95% CI)CaseControlOR (95% CI)

rs75267932A13594317149431
G191231.08 (0.64-1.81)0.773821230.88 (0.66-1.18)0.399
AA5941713234171
GA171091.24 (0.68-2.24)0.485681090.79 (0.56-1.11)0.173
GG170.87 (0.10-7.39)0.898771.37 (0.47-3.98)0.562
AG-GG181161.21 (0.68-2.16)0.524751160.82 (0.59-1.14)0.247
rs72640334C13297317139731
A18911.46 (0.85-2.50)0.16781911.22 (0.89-1.66)0.225
CC5844313214431
CA16871.29 (0.70-2.37)0.41971871.15 (0.81-1.63)0.435
AA123.65 (0.29-46.40)0.318523.09 (0.58-16.38)0.184
CA-AA17891.34 (0.73-2.43)0.34276891.20 (0.85-1.68)0.306
rs7336610T7054414085441
C845201.26 (0.89-1.76)0.1883885200.99 (0.83-1.20)0.956
TT1414311021431
TC422581.72 (0.90-3.29)0.1022042581.09 (0.79-1.50)0.594
CC211311.45 (0.70-3.01)0.319921311.00 (0.69-1.46)0.986
TC-CC633891.62 (0.87-3.01)0.1272963891.06 (0.79-1.43)0.697
rs7318578A10276915737691
C522951.33 (0.93-1.91)0.1212232951.02 (0.83-1.25)0.890
AA3227812022781
CA382131.46 (0.88-2.44)0.1471692131.10 (0.84-1.45)0.494
CC7411.36 (0.55-3.35)0.50327410.89 (0.53-1.50)0.664
AC-CC452541.45 (0.88-2.37)0.1441962541.07 (0.82-1.39)0.632
rs17735387G12285616348561
A322101.07 (0.70-1.62)0.7541622101.04 (0.83-1.31)0.728
GG4834512533451
GA261661.14 (0.68-1.93)0.6211281661.06 (0.79-1.40)0.708
AA3220.88 (0.25-3.10)0.84317221.11 (0.57-2.14)0.762
GA-AA291881.11 (0.67-1.83)0.6921451881.06 (0.81-1.40)0.667
rs1428A7054614125461
C845201.26 (0.90-1.77)0.1813845200.98 (0.81-1.18)0.818
AA1414411061441
CA422581.73 (0.90-3.31)0.0992002581.03 (0.75-1.42)0.838
CC211311.46 (0.70-3.02)0.314921310.97 (0.67-1.41)0.878
AC-CC633891.63 (0.88-3.02)0.1232923891.01 (0.75-1.36)0.933

Nasopharyngeal SCC: nasopharyngeal squamous cell carcinoma; thyroid SCC: thyroid squamous cell carcinoma. values were calculated by unconditional logistic regression analysis with adjustment for age and gender. indicates statistical significance. Highlighted in bold indicates the significant association between SNPs and HNSCC risk.