Table 3.
|
|
MDR Analysis |
|||
---|---|---|---|---|---|
Locus | SNP | Cross-validation consistency | Balanced Accuracy | χ2 | P-value |
HLA-B/MICA | rs116799036 | 10/10 | 0.56 | 30.76 | 2.92 × 10−8 |
HLA-C | rs12525170 | 10/10 | 0.56 | 31.81 | 1.7 × 10−8 |
KLRC4 | rs2617170 | 10/10 | 0.52 | 4.26 | 0.039 |
IFNGR1 | rs4896243 | 10/10 | 0.52 | 5.23 | 0.019 |
Cross-validation consistency is a measure of the number of times the same MDR model is identified in each possible 90% of the subjects [31]; Balanced Accuracy is defined as (sensitivity + specificity/2). Sensitivity represents true positive rate (true positives/(true positives + false negatives)), and specificity represents true negative rate (true negatives/(false positives + true negatives)). Balanced accuracy is used as an estimator of true accuracy to mitigate imbalanced sampling [34].Degree of freedom (df) of 1 was used to calculate the P Values from χ2. SNP, single nucleotide polymorphism.