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Although rare missense variants underlying a number of Mendelian diseases have been noted to cluster in specific regions of proteins, this information may be underutilized when evaluating the pathogenicity of a gene or variant. We introduce ClusterBurden and GAMs, two methods for rapid association testing and predictive modelling, respectively, that combine variant burden and amino-acid residue clustering, in case-control studies. We show that ClusterBurden increases statistical power todoi:10.1101/826164 fatcat:366d5vqkajdiditsqivyf5yhte