Prediction and visualization data for the interpretation of sarcomeric and non-sarcomeric DNA variants found in patients with hypertrophic cardiomyopathy

Genomic technologies are redefining the understanding of geno-type–phenotype relationships and over the past decade, manybioinformatics algorithms have been developed to predict func-tional consequences of single nucleotide variants. This articlepresents the data from a comprehensive computational workflowadopted to assess the biomedical impact of the DNA variantsresulting from the experimental study“Molecular analysis of sar-comeric and non-sarcomeric genes in patients with hypertrophiccardiomyopathy”(Bottillo et al., 2016)[1]. Several different inde-pendently methods were employed to predict the functionalconsequences of alleles that result in amino acid substitutions, tostudy the effect of some DNA variants over the splicing process and o investigate the impact of a sequence variant with respect to theevolutionary conservation.