Skip to main content
. 2017 Jul 24;16:78. doi: 10.1186/s12940-017-0280-y

Table 3.

Association between SNPs and NIHL risk

SNP Genetic model Genotype Controls, n (%) Cases, n (%) P OR(95%CI)a
rs1049216 Additive CC 173(64.3) 195(72.5) 1.0
CT 82(30.5) 68(25.3) 0.050 0.609(0.372–1.000)
TT 14(5.2) 6(2.2) 0.032 0.246(0.069–0.886)
Dominant CC 173(64.3) 195(72.5) 1.0
CT + TT 96(35.7) 72(27.5) 0.014 0.551(0.343–0.885)
Recessive CC + CT 258(94.8) 266(97.8) 1.0
TT 14(5.2) 6(2.2) 0.047 0.277(0.078–0.986)
rs6948 Additive AA 177(65.8) 198(73.6) 1.0
AC 79(29.4) 65(24.2) 0.050 0.607(0.369–1.000)
CC 13(4.8) 6(2.2) 0.089 0.328(0.091–1.185)
Dominant AA 177(65.8) 198(73.6) 1.0
AC + CC 92(34.2) 71(26.4) 0.020 0.568(0.352–0.916)
Recessive AA + AC 256(95.2) 263(97.8) 1.0
CC 13(4.8) 6(2.2) 0.128 0.373(0.105–1.327)
Risk genotypeb 0 91(33.8) 71(26.4) 1.0
1 6(2.2) 3(1.1) 0.701 0.684(0.098–4.779)
2 172(63.9) 195(72.5) 0.018 1.787(1.104–2.892)

aadjusted for age, sex, education, marriage status, income, working time, noise exposure time, noise intensity exposure, CNE, telephone using time, music listening time, and time go to sleep

brs1049216 CC and rs6948 AA genotypes were classified as high-risk genotypes; the number represents the numbers of the two genotypes within the combined genotypes