Exon tiling fusion detection method
The exon tiling method is a partner agnostic fusion detection method that enables the discovery of novel fusions and breakpoints. In this method, the primers are designed to target several exon‑exon junction of key driver genes. Each driver gene that is surveyed is analyzed individually. After the sequencing reads undergo normalization and baseline correction, the software measures the intragenic 3′ to 5′ expression ratio for each gene and compares the ratio to the baseline (computed from a cohort of normal samples). Genes that do not undergo a fusion event are expected to have a 3′ to 5′ expression ratio similar to the baseline. Genes that undergo a fusion event typically have a 3′ to 5′ expression ratio greater than the baseline. The imbalance score measures the magnitude of change in 3′ to 5′ expression ratio relative to the baseline. For each driver gene in which fusion was detected, the software also predicts the most likely position of fusion breakpoint. This allows for discovery of novel fusion breakpoints.
Imbalance score = Observed imbalance (test sample) ÷ Expected imbalance (normal sample)
For example, if the observed (test sample) 3′ to 5′ expression ratio is 3, while the expected 3′ to 5′ imbalance for a wild type transcript is 1.5, the imbalance score is 2. Typically, an imbalance score of ≥1.75–2 is indicative of a gene fusion event.
The significance of the expression imbalance is measured by the imbalance p‑value. The p‑value measures the significance of the imbalance at the predicted breakpoint compared to the negative control gene in the sample. Both the p‑value and the imbalance score are used to determine the occurrence of a fusion event.