Table 1.
Association between m1A modification gene polymorphisms and neuroblastoma risk in children from Jiangsu Province
| Gene | SNP | Allele | Case (N = 402) | Control (N = 473) | Adjusted OR a | P a | P b | Adjusted OR c | P c | P b | HWE | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| A | B | AA | AB | BB | AA | AB | BB | (95% CI) | (95% CI) | |||||||
| TRMT10C | rs7641261 | C | T | 226 | 149 | 26 | 273 | 165 | 35 | 1.06 (0.81–1.38) | 0.686 | 1 | 0.87 (0.51–1.47) | 0.600 | 1 | 0.152 |
| TRMT10C | rs2303476 | T | C | 254 | 114 | 33 | 295 | 154 | 24 | 0.96 (0.73–1.26) | 0.765 | 1 | 1.68 (0.97–2.89) | 0.062 | 1 | 0.505 |
| TRMT10C | rs4618204 | C | T | 166 | 170 | 65 | 162 | 231 | 80 | 0.74 (0.56–0.97) | 0.030 | 1 | 0.95 (0.66–1.36) | 0.784 | 1 | 0.879 |
| TRMT10C | rs4257518 | A | G | 120 | 183 | 98 | 138 | 234 | 101 | 0.96 (0.72–1.29) | 0.807 | 1 | 1.19 (0.87–1.64) | 0.276 | 1 | 0.922 |
| TRMT10C | rs3762735 | C | G | 284 | 108 | 9 | 362 | 107 | 4 | 1.34 (0.99–1.82) | 0.056 | 1 | 2.70 (0.83–8.85) | 0.101 | 1 | 0.198 |
| TRMT6 | rs236170 | A | G | 120 | 185 | 97 | 131 | 229 | 113 | 0.90 (0.67–1.21) | 0.483 | 1 | 1.01 (0.74–1.39) | 0.931 | 1 | 0.510 |
| TRMT6 | rs451571 | T | C | 252 | 128 | 22 | 273 | 172 | 28 | 0.81 (0.62–1.07) | 0.135 | 1 | 0.92 (0.52–1.64) | 0.777 | 1 | 0.895 |
| TRMT6 | rs6139878 | G | A | 354 | 45 | 3 | 418 | 49 | 6 | 1.03 (0.68–1.56) | 0.886 | 1 | 0.59 (0.15–2.36) | 0.451 | 1 | 0.002 |
| TRMT6 | rs236188 | G | A | 331 | 67 | 4 | 376 | 89 | 8 | 0.83 (0.59–1.17) | 0.286 | 1 | 0.58 (0.17–1.95) | 0.381 | 1 | 0.311 |
| TRMT6 | rs236110 | C | A | 266 | 177 | 19 | 293 | 162 | 18 | 0.83 (0.63–1.10) | 0.195 | 1 | 1.25 (0.65–2.42) | 0.502 | 1 | 0.450 |
| TRMT61A | rs2296484 | C | T | 312 | 80 | 8 | 353 | 109 | 11 | 0.83 (0.61–1.14) | 0.246 | 1 | 0.86 (0.34–2.15) | 0.741 | 1 | 0.457 |
| TRMT61B | rs4563180 | G | C | 236 | 145 | 21 | 288 | 161 | 24 | 1.10 (0.84–1.44) | 0.511 | 1 | 1.03 (0.57–1.88) | 0.920 | 1 | 0.807 |
| ALKBH3 | rs11037720 | A | G | 257 | 120 | 23 | 286 | 167 | 20 | 0.85 (0.65–1.12) | 0.251 | 1 | 1.38 (0.75–2.56) | 0.300 | 1 | 0.476 |
| ALKBH3 | rs1048928 | T | G | 294 | 97 | 9 | 336 | 133 | 4 | 0.88 (0.66–1.19) | 0.419 | 1 | 2.71 (0.83–8.88) | 0.100 | 1 | 0.018 |
| ALKBH3 | rs10768993 | G | A | 166 | 166 | 68 | 170 | 228 | 75 | 0.79 (0.60–1.04) | 0.093 | 1 | 1.09 (0.76–1.56) | 0.646 | 1 | 0.921 |
| ALKBH3 | rs2292889 | C | G | 355 | 43 | 2 | 403 | 69 | 1 | 0.73 (0.49–1.09) | 0.123 | 1 | 2.38 (0.22–26.40) | 0.480 | 1 | 0.270 |
| ALKBH3 | rs2434474 | T | C | 194 | 158 | 48 | 221 | 194 | 58 | 0.93 (0.71–1.22) | 0.605 | 1 | 0.98 (0.65–1.47) | 0.911 | 1 | 0.133 |
| YTHDF1 | rs6011668 | C | T | 282 | 111 | 9 | 352 | 109 | 12 | 1.24 (0.92–1.67) | 0.159 | 1 | 0.88 (0.37–2.11) | 0.777 | 1 | 0.313 |
| YTHDF1 | rs6090311 | A | G | 174 | 181 | 47 | 196 | 214 | 63 | 0.93 (0.71–1.21) | 0.581 | 1 | 0.86 (0.58–1.29) | 0.469 | 1 | 0.704 |
| YTHDF2 | rs3738067 | A | G | 238 | 134 | 30 | 268 | 170 | 35 | 0.90 (0.69–1.18) | 0.448 | 1 | 1.01 (0.61–1.68) | 0.972 | 1 | 0.269 |
| YTHDF3 | rs2241753 | G | A | 189 | 167 | 46 | 219 | 195 | 59 | 0.97 (0.74–1.27) | 0.834 | 1 | 0.91 (0.60–1.37) | 0.642 | 1 | 0.134 |
| YTHDF3 | rs2241754 | A | G | 140 | 190 | 72 | 156 | 229 | 88 | 0.92 (0.70–1.22) | 0.565 | 1 | 0.95 (0.68–1.35) | 0.791 | 1 | 0.806 |
| YTHDF3 | rs7464 | A | G | 205 | 153 | 44 | 264 | 172 | 37 | 1.21 (0.93–1.59) | 0.155 | 1 | 1.45 (0.92–2.29) | 0.113 | 1 | 0.231 |
OR, odds ratio; CI, confidence interval; HWE, Hardy–Weinberg equilibrium
a Adjusted for age and gender for dominant model
b The Bonferroni method was used to correct P values for multiple testing
c Adjusted for age and gender for recessive model