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Title: The intolerance to functional genetic variation of protein domains predicts the localization of pathogenic mutations within genes
Austin Authors: Gussow, Ayal B;Petrovski, Slavé;Wang, Quanli;Allen, Andrew S;Goldstein, David B
Affiliation: Institute for Genomic Medicine, Columbia University, New York, NY, USA
Program in Computational Biology and Bioinformatics, Duke University, Durham, NC, USA
Department of Medicine, The University of Melbourne, Austin Health and Royal Melbourne Hospital, Melbourne, Victoria, Australia
Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
Issue Date: 18-Jan-2016
Publication information: Genome Biology 2016; 17: 9
Abstract: Ranking human genes based on their tolerance to functional genetic variation can greatly facilitate patient genome interpretation. It is well established, however, that different parts of proteins can have different functions, suggesting that it will ultimately be more informative to focus attention on functionally distinct portions of genes. Here we evaluate the intolerance of genic sub-regions using two biological sub-region classifications. We show that the intolerance scores of these sub-regions significantly correlate with reported pathogenic mutations. This observation extends the utility of intolerance scores to indicating where pathogenic mutations are mostly likely to fall within genes.
DOI: 10.1186/s13059-016-0869-4
Journal: Genome Biology
PubMed URL:
Type: Journal Article
Subjects: Genetic Variation
Genome, Human
Protein Structure, Tertiary - Genetic
Appears in Collections:Journal articles

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