VALIDATE: precision validation for new PRS
To validate a PRS, users need a new, independent set of genomic data on which the phenotype of interest has been measured.
Using VALIDATE, researchers can validate their new PRS on an independent dataset, helping them to understand the applicability of their PRS to a new population. This new population can be similar to or different from the one on which the PRS developed, allowing VALIDATE to provide a robust, assessment of the predictive performance of a PRS on new data.
This is important because most published PRS concentrate on using genomic datasets from populations of predominantly western European genetic ancestry due to there being much more data available from these populations. Several researchers have highlighted this lack of diversity and Allelica supports all efforts to increase datasets to produce a more equitable approach to precision medicine. With VALIDATE, users can therefore test the applicability of scores to populations of diverse ancestry.
Measurable predictive performance
Area Under the Curve of the Receiver Operator Curve to measure how well the model classification works.
The Odds Ratio per standard deviation to measure how the model captures the gradient of risk of the disease in question
The percentiles of the dataset that are at 3 fold or greater increased risk relative to the remainder of the population