TABLE VII.
The results of analyzing Type 2 diabetes data set by using the five methods
| Methods | Results | ||||
|---|---|---|---|---|---|
| SMT | The four most significant SNPs | ||||
| rs5210 | rs7577088 | rs7252268 | rs8192691 | ||
| Unadjusted P-value | 0.0014 | 0.0023 | 0.0055 | 0.01 | |
| Adjusted P-value | 0.14 | 0.25 | 0.50 | 0.75 | |
| HT-SFS | Final marker-set contains 10 SNPs with IDs rs7577088, rs5400, rs3755863, rs8192680, rs1042044, rs5210, rs3136540, rs1051690, rs7252268, rs2071197; P-value = 0.08 for testing the association between the 10 SNPs and the trait | ||||
| CSM | The best marker-set contains two SNPs, rs5210 and rs2276931; P-value = 0.145 | ||||
| FITF | Two most significant SNPs in marginal tests and tests in stage 2 | ||||
| Marginal tests | Tests in stage 2 | ||||
| rs5210 | rs7577088 | rs3842752 and rs7577088 | |||
| Unadjusted P-value | 9 × 10−4 | 1.7 × 10−3 | 3.36 × 10−4 | ||
| 5% significance cutoff | 1.6 × 10−4 | 1.1 × 10−5 | |||
| Adjusted P-value | >0.05 | >0.05 | >0.05 | ||
| ELA | 11 SNPs (see Fig. 3, Tables SI and SII for details) in the final marker-set; P-value = 0.01 for testing the association between the 11 SNPs and the trait | ||||
SNPs, single nucleotide polymorphisms; SMT, single-marker test; HT-SFS, Hotelling’s T with the sequence-forward-selection; CSM, combinatorial searching method; FITF, focused interaction testing framework; ELA, ensemble learning approach.