JAK2 class prediction using a 4-biomarker gene subset
| Genotype . | Class prediction . | |||||
|---|---|---|---|---|---|---|
| Microarray . | Quantitative RT-PCR* . | |||||
| JAK2 (GG) . | JAK2 (GT/TT) . | Total . | JAK2 (GG) . | JAK2 (GT/TT) . | Total . | |
| JAK2 (GG) | 12 (100.0) | 0 (0) | 12 | 14 (87.5) | 2 (12.5) | 16 |
| JAK2 (GT/TT) | 3 (27.3) | 8 (72.7) | 11 | 9 (37.5) | 15 (62.5) | 24 |
| Group aggregates | 20/23 (87.0) | 29/40 (72.5) | ||||
| Genotype . | Class prediction . | |||||
|---|---|---|---|---|---|---|
| Microarray . | Quantitative RT-PCR* . | |||||
| JAK2 (GG) . | JAK2 (GT/TT) . | Total . | JAK2 (GG) . | JAK2 (GT/TT) . | Total . | |
| JAK2 (GG) | 12 (100.0) | 0 (0) | 12 | 14 (87.5) | 2 (12.5) | 16 |
| JAK2 (GT/TT) | 3 (27.3) | 8 (72.7) | 11 | 9 (37.5) | 15 (62.5) | 24 |
| Group aggregates | 20/23 (87.0) | 29/40 (72.5) | ||||
GG indicates wild-type normal; GT, Jak2V617F heterozygote; and TT, Jak2V617F homozygote.
Classification includes aggregate data from the training set (cohort 1) using cross-validation, and test set (cohort 2) via prediction based on the training data.