Genetic and bioinformatics analysis of four novel GCK missense variants detected in Caucasian families with GCK‐MODY phenotype |
| |
| Authors: | G. Contreas M. Corradi S.P. Marin Vargas A. Giorgetti C. Maffeis |
| |
| Affiliation: | 1. Regional Center for Pediatric DiabetesClinical Nutrition and Obesity, Department of Life and Reproduction Sciences;2. Applied Bioinformatics Lab., Department of Biotechnology, University of Verona, Verona, Italy |
| |
| Abstract: | Heterozygous loss‐of‐function mutations in the glucokinase (GCK) gene cause maturity‐onset diabetes of the young (MODY) subtype GCK (GCK‐MODY/MODY2). GCK sequencing revealed 16 distinct mutations (13 missense, 1 nonsense, 1 splice site, and 1 frameshift‐deletion) co‐segregating with hyperglycaemia in 23 GCK‐MODY families. Four missense substitutions (c.718A>G/p.Asn240Asp, c.757G>T/p.Val253Phe, c.872A>C/p.Lys291Thr, and c.1151C>T/p.Ala384Val) were novel and a founder effect for the nonsense mutation (c.76C>T/p.Gln26*) was supposed. We tested whether an accurate bioinformatics approach could strengthen family‐genetic evidence for missense variant pathogenicity in routine diagnostics, where wet‐lab functional assays are generally unviable. In silico analyses of the novel missense variants, including orthologous sequence conservation, amino acid substitution (AAS)‐pathogenicity predictors, structural modeling and splicing predictors, suggested that the AASs and/or the underlying nucleotide changes are likely to be pathogenic. This study shows how a careful bioinformatics analysis could provide effective suggestions to help molecular‐genetic diagnosis in absence of wet‐lab validations. |
| |
| Keywords: | bioinformatics analysis co‐segregation analysis GCK missense variant MODY pathogenicity prediction splicing prediction |
|
|
