Table 1. Associations between candidate SNPs in the TERT-CLPTM1L locus and risk of ESCC in Jiangsu case-control set.
No. | rs ID | Position | Base change | MAF1 | Genotype (588 cases and 600 controls) | P3 | |||
---|---|---|---|---|---|---|---|---|---|
Common2 | Heterozygous2 | Rare2 | OR(95%CI)3 | ||||||
1 | rs2853691 | 1305950 | T>C | 0.257 | 44.2/54.6 | 43.5/39.4 | 12.3/6.0 | 1.50 (1.25-1.80) | 7.0 × 10−6 |
2 | rs2736122 | 1310621 | G>A | 0.058 | 87.8/89.1 | 12.1/10.3 | 0.1/0.6 | 1.07 (0.75-1.52) | 0.701 |
3 | rs2075786 | 1319310 | A>G | 0.128 | 74.5/76.3 | 24.0/21.8 | 1.5/1.9 | 1.06 (0.83-1.36) | 0.621 |
4 | rs4246742 | 1320356 | T>A | 0.355 | 43.8/40.9 | 44.6/47.0 | 11.7/12.0 | 0.93 (0.78-1.10) | 0.397 |
5 | rs4975605 | 1328528 | C>A | 0.053 | 90.5/89.7 | 9.3/10.1 | 0.1/0.2 | 0.90 (0.61-1.33) | 0.586 |
6 | rs2736100 | 1339516 | A>C | 0.405 | 28.1/35.7 | 46.7/47.6 | 25.2/16.7 | 1.39 (1.17-1.64) | 7.8 × 10−5 |
7 | rs2853676 | 1341547 | C>T | 0.126 | 75.3/75.9 | 23.0/22.9 | 1.7/1.1 | 1.05 (0.82-1.35) | 0.664 |
8 | rs2736098 | 1347086 | C>T | 0.392 | 40.8/41.0 | 39.7/39.6 | 19.5/19.4 | 1.01 (0.85-1.19) | 0.919 |
9 | rs2853668 | 1353025 | G>T | 0.293 | 49.5/49.8 | 42.1/42.0 | 8.4/8.3 | 0.99 (0.83-1.19) | 0.927 |
10 | rs2735845 | 1353584 | C>G | 0.328 | 45.2/45.3 | 44.5/43.7 | 10.3/11.0 | 0.99 (0.83-1.18) | 0.890 |
11 | rs6554759 | 1370102 | A>G | 0.045 | 90.3/91.1 | 9.4/8.7 | 0.3/0.2 | 1.12 (0.76-1.66) | 0.554 |
12 | rs451360 | 1372680 | C>A | 0.117 | 83.9/78.2 | 15.3/20.2 | 0.8/1.6 | 0.69 (0.52-0.91) | 0.007 |
13 | rs380286 | 1373247 | G>A | 0.125 | 77.4/76.5 | 21.5/22.0 | 1.1/1.5 | 0.94 (0.73-1.21) | 0.612 |
14 | rs402710 | 1373722 | C>T | 0.325 | 44.5/45.8 | 44.9/43.4 | 10.6/10.8 | 1.03 (0.86-1.22) | 0.764 |
15 | rs452932 | 1383253 | T>C | 0.160 | 72.6/70.9 | 25.6/26.1 | 1.8/2.9 | 0.90 (0.71-1.13) | 0.352 |
Note: ESCC, esophageal squamous cell carcinoma; MAF, minor allele frequency; OR, odds ratios; 95%CI, 95% confident intervals.
MAF in healthy controls.
% of case/% of control.
Allelic OR calculated by logistic regression.