Table 1.
SNPsof most significant OR with 95% CIs under the allele model.
| author | year | PMID | SNP | Ethnicity | Allele model OR | 0.95LCI | 0.95UCI | P |
|---|---|---|---|---|---|---|---|---|
| Li GS (14) | 2007 | 17228361 | C1GALT1 rs5882115 | Han Chinese | 0.679 | 0.522 | 0.884 | 0.004 |
| Kim HJ (15) | 2011 | 21677403 | CTLA4 rs231777 | Korean pediatric patients | 1.973 | 1.045 | 3.725 | 0.036 |
| Gao J (16) | 2017 | 28946141 | Enos rs1799983 | Han Chinese | 0.671 | 0.469 | 0.959 | 0.029 |
| Yang B (17) | 2018 | 29467950 | HLA-DP rs9277535 | Han Chinese | 1.958 | 1.497 | 2.560 | 0 |
| Kim HJ (15) | 2011 | 21677403 | ICOS rs4270326 | Korean pediatric patients | 2.082 | 1.079 | 4.018 | 0.029 |
| Kim HJ (15) | 2011 | 21677403 | ICOS rs4404254 | Korean pediatric patients | 1.919 | 1.029 | 3.579 | 0.04 |
| Gao J (18) | 2018 | 28391282 | IFN-γ rs430561 | Han Chinese | 0.589 | 0.353 | 0.982 | 0.042 |
| Jung HY (19) | 2012 | 26889427 | IL-1β rs1946518 | Korean | 2.055 | 1.353 | 3.120 | 0.001 |
| Vuong MT (20) | 2009 | 19258388 | TGF‐β1 rs1800469 | Sweden | 0.666 | 0.494 | 0.898 | 0.008 |
| Vuong MT (20) | 2009 | 19258388 | TGF‐β1 rs6957 | Sweden | 0.644 | 0.449 | 0.924 | 0.017 |
| Feng Y (21) | 2019 | 30928649 | TNS3 rs3750163 | Han Chinese | 6.768 | 2.841 | 16.123 | 0 |