Table 4. Pair-wise epistatic interacting results among six independent variants in RET done by logistic regression and Multifactor dimensionality reduction (MDR).
rs2506030 | rs2435357 | rs2505532 | rs1800860 | rs2742234 | rs2742236 | ||
---|---|---|---|---|---|---|---|
Logistic Regression | |||||||
rs2506030 | Multiple Dimension Reduction | NA | OR=1.36(1.14 ~1.63) P=7.57E-04 |
OR=1.41(1.17~1.69) P=2.39E-04 |
P=0.32 | OR=1.23(1.03~1.47) P=0.03 |
OR=1.32(1.07~1.62) P=0.00816 |
rs2435357 | CVC=10/10 BA=0.68 OR=5.41(4.58~6.38) |
NA | OR=1.71(1.44~2.02) P=8.50E-10 |
P=0.2 | OR=1.73(1.47~2.03) P=6.94E-11 |
OR=1.50(1.24~1.80) P=2.46E-05 |
|
rs2505532 | CVC=10/10 BA=0.64 OR=3.48 (2.98~4.05) |
CVC=10/10 BA=0.69 OR=5.25(4.46~6.18) |
NA | OR=1.64(1.35~2.01) P=1.12E-06 |
OR=1.97(1.66~2.34) P=8.45E-15 |
OR=1.87(1.56~2.23) P=9.99E-12 |
|
rs1800860 | CVC=10/10 BA=0.57 OR=1.76(1.51~2.04) |
CVC=10/10 BA=0.69 OR=5.25(4.46~6.18) |
CVC=10/10 BA=0.65 OR=3.37(2.90~3.92) |
NA | P=0.16 | OR=1.28(1.03~1.59) P=0.03 |
|
rs2742234 | CVC=10/10 BA=0.66 OR=4.39(3.72~5.18) |
CVC=10/10 BA=0.69 OR=6.21 (5.23~7.37) |
CVC=10/10 BA=0.67 OR=4.14(3.54~4.84) |
CVC=10/10 BA=0.66 OR=4.39(3.72~5.17) |
NA | OR=1.83(1.49~2.25) P=1.13E-08 |
|
rs2742236 | CVC=10/10 BA=0.61 OR=2.47(2.13~2.87) |
CVC=10/10 BA=0.68 OR=5.12(4.36~6.03) |
CVC=10/10 BA=0.65 OR=3.90(3.32~4.58) |
CVC=10/10 BA=0.61 OR=2.49(2.15~2.89) |
CVC=10/10 BA=0.67 OR=4.70(3.98~5.55) |
NA |
OR means odds ratio for interaction, and a value of 1.0 indicates no effect. Cross-validation consistency (CVC) reflects the number of times MDR analysis identified the same model as the data were divided into different segments. Balanced accuracy is defined as (sensitivity + specificity)/2.