Computational prediction tools have been developed to aid in the interpretation of novel sequence variations, but their utility within the diagnostic setting of antithrombin (AT) deficiency has not been evaluated to date. The aim of our study was to test the performance of different bioinformatic tools (Meta-SNP, MutPred, nsSNPAnalyzer, PANTHER, PhD-SNP, PMut, SIFT, SNAP, SNPs&Go, PolyPhen-2, PON-P2, and PredictSNP) in predicting the pathogenicity of AT sequence variations. We analysed all naturally occurring SERPINC1 missense mutations that have been previously characterised to be damaging with regard to the secretion or function of the AT molecule.
View Article and Find Full Text PDF