Diseases of cardiovascular origin such as cardiomiopathies and channelopathíes are the main causes of sudden cardiac death and in some cases are difficult to diagnose during autoposy.We present an in silico analysis using bioinformatic tools, for the analysis of possibly pathogenic variants in genes associated with sudden cardiac death.Algorithms were used to predict pathogenicity, predicting the impact of SNPs on proteins, genomic specificity andprotein-protein interaction.We found that variants in the KCNH2, ANK3, TTN, CAV3 and DSP genes cause structural alterations, molecular, cellular and interstitial changes in the heart that can trigger sudden death.