Table 3.
Classification accuracy and chi-square test for 20 SNPs with the highest training HMSS by LDA for predicting psoriasis
| Chr | LDA | sIB | |||||
|---|---|---|---|---|---|---|---|
| SNP_RS | Training HMSS | Test HMSS | Training HMSS | Test HMSS | P-value(GRU) * | P-value(ADO) * | |
| rs12191877 | 6 | 0.611 | 0.315 | 0.611 | 0.668 | 0 | 0 |
| rs2894207 | 6 | 0.603 | 0.387 | 0.603 | 0.657 | 0 | 1.11 × 10-16 |
| rs3130517 | 6 | 0.600 | 0.414 | 0.600 | 0.608 | 0 | 4.33 × 10-15 |
| rs2394895 | 6 | 0.598 | 0.425 | 0.598 | 0.620 | 0 | 1.13 × 10-14 |
| rs2844627 | 6 | 0.598 | 0.413 | 0.598 | 0.627 | 0 | 0 |
| rs3130713 | 6 | 0.597 | 0.400 | 0.597 | 0.599 | 5.55 × 10-16 | 1.52 × 10-14 |
| rs3130467 | 6 | 0.596 | 0.415 | 0.596 | 0.605 | 1.11 × 10-16 | 2.73 × 10-14 |
| rs9468933 | 6 | 0.595 | 0.321 | 0.595 | 0.656 | 0 | 0 |
| rs7773175 | 6 | 0.585 | 0.416 | 0.585 | 0.604 | 0 | 1.33 × 10-15 |
| rs6861600 | 5 | 0.569 | 0.456 | 0.569 | 0.544 | 7.48 × 10-4 | 2.32 × 10-8 |
| rs9380237 | 6 | 0.569 | 0.405 | 0.569 | 0.628 | 0 | 1.38 × 10-10 |
| rs6887695 | 5 | 0.568 | 0.454 | 0.568 | 0.546 | 7.46 × 10-4 | 3.96 × 10-8 |
| rs3823418 | 6 | 0.568 | 0.342 | 0.120 | 0.142 | 0 | 1.11 × 10-16 |
| rs1265078 | 6 | 0.565 | 0.434 | 0.565 | 0.561 | 5.29 × 10-11 | 3.44 × 10-12 |
| rs2647087 | 6 | 0.564 | 0.443 | 0.564 | 0.573 | 1.25 × 10-8 | 1.21 × 10-8 |
| rs2858333 | 6 | 0.564 | 0.444 | 0.564 | 0.572 | 5.65 × 10-8 | 1.23 × 10-8 |
| rs3132965 | 6 | 0.564 | 0.434 | 0.564 | 0.574 | 2.57 × 10-9 | 6.62 × 10-9 |
| rs10947208 | 6 | 0.563 | 0.442 | 0.563 | 0.554 | 2.77 × 10-5 | 3.71 × 10-8 |
| rs9266846 | 6 | 0.562 | 0.458 | 0.562 | 0.548 | 1.31 × 10-5 | 3.03 × 10-7 |
| rs497150 | 22 | 0.562 | 0.486 | 0.562 | 0.490 | 0.22062 | 1.67 × 10-5 |
* cut-off P-value = 1.11 × 10-7 (0.05/451724)