Table 3.
Associations of the 11 SNPs with the risk of IFG in 2030 Chinese children
| SNP | Nearest gene | Unadjusted for age- and sex-specific WHR-Z scores | Adjusted for age- and sex-specific WHR-Z scores | ||
|---|---|---|---|---|---|
| OR (95% CI) | P-value | OR (95% CI) | P-value | ||
| rs984222 | TBX15-WARS2 | 0.756 (0.624, 0.915) | 0.004* | 0.751 (0.620, 0.910) | 0.004* |
| rs1011731 | DNM3-PIGC | 1.374 (1.058, 1.786) | 0.017* | 1.383 (1.063, 1.799) | 0.016* |
| rs4846567 | LYPLAL1 | 0.894 (0.731, 1.093) | 0.276 | 0.895 (0.731, 1.095) | 0.280 |
| rs10195252 | GRB14 | 0.925 (0.691, 1.239) | 0.602 | 0.931 (0.695, 1.248) | 0.633 |
| rs6795735 | ADAMTS9 | 1.400 (1.131, 1.734) | 0.002* | 1.401 (1.131, 1.735) | 0.002* |
| rs1294421 | LY86 | 1.054 (0.843, 1.316) | 0.646 | 1.043 (0.835, 1.305) | 0.709 |
| rs6905288 | VEGFA | 0.964 (0.778, 1.195) | 0.736 | 0.952 (0.768, 1.181) | 0.657 |
| rs9491696 | RSPO3 | 1.107 (0.916, 1.336) | 0.293 | 1.117 (0.925, 1.349) | 0.252 |
| rs1055144 | NFE2L3 | 1.118 (0.926, 1.349) | 0.245 | 1.120 (0.927, 1.352) | 0.240 |
| rs1443512 | HOXC13 | 1.135 (0.900, 1.431) | 0.284 | 1.121 (0.888, 1.414) | 0.337 |
| rs4823006 | ZNRF3-KREMEN1 | 1.175 (0.973, 1.419) | 0.093 | 1.170 (0.969, 1.413) | 0.103 |
| Unweighted GRS | – | 1.059(0.989, 1.134) | 0.099 | 1.057 (0.987, 1.132) | 0.111 |
| Weighted GRS | – | 1.042 (0.975, 1.114) | 0.227 | 1.041 (0.973, 1.113) | 0.245 |
Logistic regression was performed to examine the independent and cumulative effects of each SNP on risk of IFG under an additive model adjusted for study group, sex, age and age squared, without or with adjustment for age- and sex-specific WHR-Z scores
CI confidence interval, GRS genetic risk score, IFG impaired fast glucose (fasting plasma glucose ≥5.6 mmol/L), OR odds ratio; SNP single nucleotide polymorphism
*Two-sided P < 0.05