Associated Papers
VarMeter: a prediction method for the impact of glycogene variants.
Ohno S et al.
Journal of Human Genetics, 2025
VarMeter2: An enhanced structure-based method for predicting pathogenic missense variants through Mahalanobis distance.
Ohno S et al.
Computational and Structural Biotechnology Journal, 2025
Comprehensive Genomic Profiling Alters Clinical Diagnoses in a Significant Fraction of Tumors Suspicious of Sarcoma.
Öfverholm I et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research, 2024
38573684 (PubMed )
Supplement: ccr-24-0384_supplementary_data_6_suppts6.xlsx › Sheet1
A multiparametric computational algorithm for comprehensive assessment of genetic mutations in mucopolysaccharidosis type IIIA (Sanfilippo syndrome).
Ugrinov KG et al.
Plos One, 2015
Structure of sulfamidase provides insight into the molecular pathology of mucopolysaccharidosis IIIA.
Sidhu NS et al.
Acta Crystallographica. Section D, Biological Crystallography, 2014
Residual activity and proteasomal degradation of p.Ser298Pro sulfamidase identified in patients with a mild clinical phenotype of Sanfilippo A syndrome.
Muschol N et al.
American Journal of Medical Genetics. Part A, 2011
Gene symbol: SGSH. Disease: Sanfilippo syndrome type A.
Zhang W et al.
Human Genetics, 2008
The mutation p.Ser298Pro in the sulphamidase gene (SGSH) is associated with a slowly progressive clinical phenotype in mucopolysaccharidosis type IIIA (Sanfilippo A syndrome).
Meyer A et al.
Human Mutation, 2008
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