Variant effect predictors: AVE's resource expands into non-coding territory
7 October 2026
AVE's Analysis, Modelling and Prediction (AMP) workstream has recently delivered a major expansion of one of its most-used tools: a resource cataloguing computational models for predicting variant effects. Previously covering coding variants, the resource now also covers non-coding predictors, an area of interest which is growing rapidly. We spoke to Prof. Joe Marsh (Institute of Genetics and Cancer, University of Edinburgh) about how the resource was developed, what makes non-coding predictors so different from their coding counterparts, and whether VEPs will ever replace deep mutational scanning.
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