BICEP: an extension to indels and copy number variants for rare variant prioritisation in pedigree analysis

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Abstract
Summary: BICEP is a Bayesian inference model that evaluates how likely a rare variant is to be causal for a genomic trait in pedigree-based analyses. The original prior model in BICEP was designed for single nucleotide variants only. Here, we have developed an extension of the prior models for more comprehensive genomic analysis to include indels and copy number variants. We benchmark the performance of these new priors and show comparable performance accuracy with the existing single nucleotide variant prior model. For copy number variants we evaluate four different input predictors to the models and recommend the best performing ones as the default. Availability and implementation: the updated prior models have been implemented in the current version of BICEP available from: https://github.com/cathaloruaidh/BICEP .

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