Associated Papers
Protein domains provide a new layer of information for classifying human variations in rare diseases.
Corcuff M et al.
Frontiers in Bioinformatics, 2023
36896423 (PubMed )
Supplement: Table1.XLSX › Supplementary_Table_1
Signatures of natural selection and ethnic-specific prevalence of NPC1 pathogenic mutations contributing to obesity and Niemann-Pick disease type C1.
Chiorean A et al.
Scientific Reports, 2020
33139814 (PubMed )
Supplement: 41598_2020_75919_MOESM2_ESM.xlsx › LOF_and_nonsynonymous_mutations
Establishing the precise evolutionary history of a gene improves prediction of disease-causing missense mutations.
Adebali O et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2016
26890452 (PubMed )
Supplement: gim2015208x1.zip › S1_Table.xls › Sheet1
High incidence of unrecognized visceral/neurological late-onset Niemann-Pick disease, type C1, predicted by analysis of massively parallel sequencing data sets.
Wassif CA et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2016
Assessment of a targeted resequencing assay as a support tool in the diagnosis of lysosomal storage disorders.
Fernández-Marmiesse A et al.
Orphanet Journal of Rare Diseases, 2014
Select a paper to view details