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Genotype-phenotype correlation of gangliosidosis mutations using in silico tools and homology modeling
Gangliosidoses, including GM1-gangliosidosis and GM2-gangliosidosis (Tay-Sachs disease and Sandhoff disease), are lysosomal disorders resulting from enzyme deficiencies and accumulation of gangliosides. Phenotypes of gangliosidoses range from infantile, late-infantile, juvenile, and to the adult for...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646740/ https://www.ncbi.nlm.nih.gov/pubmed/31367523 http://dx.doi.org/10.1016/j.ymgmr.2019.100495 |
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author | Ou, Li Kim, Sarah Whitley, Chester B. Jarnes-Utz, Jeanine R. |
author_facet | Ou, Li Kim, Sarah Whitley, Chester B. Jarnes-Utz, Jeanine R. |
author_sort | Ou, Li |
collection | PubMed |
description | Gangliosidoses, including GM1-gangliosidosis and GM2-gangliosidosis (Tay-Sachs disease and Sandhoff disease), are lysosomal disorders resulting from enzyme deficiencies and accumulation of gangliosides. Phenotypes of gangliosidoses range from infantile, late-infantile, juvenile, and to the adult form. The genotype-phenotype correlation is essential for prognosis and clinical care planning for patients with a gangliosidosis condition. Previously, we have developed a method to establish the genotype-phenotype correlation of another lysosomal disease, mucopolysaccharidosis type I, with in silico tools. This same method was applied to analyze the genotype and phenotype of 38 patients diagnosed with a gangliosidosis disease in the United States. Out of 40 mutations identified, 3 were novel, including p.Tyr192His and p.Phe556Ser of the GLB1 gene and p.Gly461Val of the HEXA gene. Furthermore, the mutant protein structure of all missense mutations was constructed by homology modeling. A systemic structural analysis of these models revealed the specific mechanisms of how each mutation may lead to the disease. In summary, the method developed in this study holds promise as a tool that can be broadly applicable to other lysosomal diseases and monogenic diseases. |
format | Online Article Text |
id | pubmed-6646740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-66467402019-07-31 Genotype-phenotype correlation of gangliosidosis mutations using in silico tools and homology modeling Ou, Li Kim, Sarah Whitley, Chester B. Jarnes-Utz, Jeanine R. Mol Genet Metab Rep Research Paper Gangliosidoses, including GM1-gangliosidosis and GM2-gangliosidosis (Tay-Sachs disease and Sandhoff disease), are lysosomal disorders resulting from enzyme deficiencies and accumulation of gangliosides. Phenotypes of gangliosidoses range from infantile, late-infantile, juvenile, and to the adult form. The genotype-phenotype correlation is essential for prognosis and clinical care planning for patients with a gangliosidosis condition. Previously, we have developed a method to establish the genotype-phenotype correlation of another lysosomal disease, mucopolysaccharidosis type I, with in silico tools. This same method was applied to analyze the genotype and phenotype of 38 patients diagnosed with a gangliosidosis disease in the United States. Out of 40 mutations identified, 3 were novel, including p.Tyr192His and p.Phe556Ser of the GLB1 gene and p.Gly461Val of the HEXA gene. Furthermore, the mutant protein structure of all missense mutations was constructed by homology modeling. A systemic structural analysis of these models revealed the specific mechanisms of how each mutation may lead to the disease. In summary, the method developed in this study holds promise as a tool that can be broadly applicable to other lysosomal diseases and monogenic diseases. Elsevier 2019-07-17 /pmc/articles/PMC6646740/ /pubmed/31367523 http://dx.doi.org/10.1016/j.ymgmr.2019.100495 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Paper Ou, Li Kim, Sarah Whitley, Chester B. Jarnes-Utz, Jeanine R. Genotype-phenotype correlation of gangliosidosis mutations using in silico tools and homology modeling |
title | Genotype-phenotype correlation of gangliosidosis mutations using in silico tools and homology modeling |
title_full | Genotype-phenotype correlation of gangliosidosis mutations using in silico tools and homology modeling |
title_fullStr | Genotype-phenotype correlation of gangliosidosis mutations using in silico tools and homology modeling |
title_full_unstemmed | Genotype-phenotype correlation of gangliosidosis mutations using in silico tools and homology modeling |
title_short | Genotype-phenotype correlation of gangliosidosis mutations using in silico tools and homology modeling |
title_sort | genotype-phenotype correlation of gangliosidosis mutations using in silico tools and homology modeling |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646740/ https://www.ncbi.nlm.nih.gov/pubmed/31367523 http://dx.doi.org/10.1016/j.ymgmr.2019.100495 |
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