TITINdb-a computational tool to assess titin's role as a disease gene.

Abstract

Large numbers of rare and unique titin missense variants have been discovered in both healthy and disease cohorts, thus the correct classification of variants as pathogenic or non-pathogenic has become imperative. Due to titin's large size (363 coding exons), current web applications are unable to map titin variants to domain structures. Here, we present a web application, TITINdb, which integrates titin structure, variant, sequence and isoform information, along with pre-computed predictions of the impact of non-synonymous single nucleotide variants, to facilitate the correct classification of titin variants. TITINdb can be freely accessed at http://fraternalilab.kcl.ac.uk/TITINdb. franca.fraternali@kcl.ac.uk. Supplementary data are available at Bioinformatics online.