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Inherited glycophosphatidylinositol deficiency variant database and analysis of pathogenic variants

BACKGROUND: Glycophosphatidylinositol‐anchored proteins (GPI‐APs) mediate several physiological processes such as embryogenesis and neurogenesis. Germline variants in genes involved in their synthesis can disrupt normal development and result in a variety of clinical phenotypes. With the advent of n...

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Autores principales: Baratang, Nissan Vida, Jimenez Cruz, Daniel Alexander, Ajeawung, Norbert Fonya, Nguyen, Thi Tuyet Mai, Pacheco‐Cuéllar, Guillermo, Campeau, Philippe M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625143/
https://www.ncbi.nlm.nih.gov/pubmed/31127708
http://dx.doi.org/10.1002/mgg3.743
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author Baratang, Nissan Vida
Jimenez Cruz, Daniel Alexander
Ajeawung, Norbert Fonya
Nguyen, Thi Tuyet Mai
Pacheco‐Cuéllar, Guillermo
Campeau, Philippe M.
author_facet Baratang, Nissan Vida
Jimenez Cruz, Daniel Alexander
Ajeawung, Norbert Fonya
Nguyen, Thi Tuyet Mai
Pacheco‐Cuéllar, Guillermo
Campeau, Philippe M.
author_sort Baratang, Nissan Vida
collection PubMed
description BACKGROUND: Glycophosphatidylinositol‐anchored proteins (GPI‐APs) mediate several physiological processes such as embryogenesis and neurogenesis. Germline variants in genes involved in their synthesis can disrupt normal development and result in a variety of clinical phenotypes. With the advent of new sequencing technologies, more cases are identified, leading to a rapidly growing number of reported genetic variants. With this number expected to rise with increased accessibility to molecular tests, an accurate and up‐to‐date database is needed to keep track of the information and help interpret results. METHODS: We therefore developed an online resource (www.gpibiosynthesis.org) which compiles all published pathogenic variants in GPI biosynthesis genes which are deposited in the LOVD database. It contains 276 individuals and 192 unique public variants; 92% of which are predicted as damaging by bioinformatics tools. RESULTS: A significant proportion of recorded variants was substitution variants (81%) and resulted mainly in missense and frameshift alterations. Interestingly, five patients (2%) had deleterious mutations in untranslated regions. CADD score analysis placed 97% of variants in the top 1% of deleterious variants in the human genome. In genome aggregation database, the gene with the highest frequency of reported pathogenic variants is PIGL, with a carrier rate of 1/937. CONCLUSION: We thus present the GPI biosynthesis database and review the molecular genetics of published variants in GPI‐anchor biosynthesis genes.
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spelling pubmed-66251432019-07-17 Inherited glycophosphatidylinositol deficiency variant database and analysis of pathogenic variants Baratang, Nissan Vida Jimenez Cruz, Daniel Alexander Ajeawung, Norbert Fonya Nguyen, Thi Tuyet Mai Pacheco‐Cuéllar, Guillermo Campeau, Philippe M. Mol Genet Genomic Med Original Articles BACKGROUND: Glycophosphatidylinositol‐anchored proteins (GPI‐APs) mediate several physiological processes such as embryogenesis and neurogenesis. Germline variants in genes involved in their synthesis can disrupt normal development and result in a variety of clinical phenotypes. With the advent of new sequencing technologies, more cases are identified, leading to a rapidly growing number of reported genetic variants. With this number expected to rise with increased accessibility to molecular tests, an accurate and up‐to‐date database is needed to keep track of the information and help interpret results. METHODS: We therefore developed an online resource (www.gpibiosynthesis.org) which compiles all published pathogenic variants in GPI biosynthesis genes which are deposited in the LOVD database. It contains 276 individuals and 192 unique public variants; 92% of which are predicted as damaging by bioinformatics tools. RESULTS: A significant proportion of recorded variants was substitution variants (81%) and resulted mainly in missense and frameshift alterations. Interestingly, five patients (2%) had deleterious mutations in untranslated regions. CADD score analysis placed 97% of variants in the top 1% of deleterious variants in the human genome. In genome aggregation database, the gene with the highest frequency of reported pathogenic variants is PIGL, with a carrier rate of 1/937. CONCLUSION: We thus present the GPI biosynthesis database and review the molecular genetics of published variants in GPI‐anchor biosynthesis genes. John Wiley and Sons Inc. 2019-05-24 /pmc/articles/PMC6625143/ /pubmed/31127708 http://dx.doi.org/10.1002/mgg3.743 Text en © 2019 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Baratang, Nissan Vida
Jimenez Cruz, Daniel Alexander
Ajeawung, Norbert Fonya
Nguyen, Thi Tuyet Mai
Pacheco‐Cuéllar, Guillermo
Campeau, Philippe M.
Inherited glycophosphatidylinositol deficiency variant database and analysis of pathogenic variants
title Inherited glycophosphatidylinositol deficiency variant database and analysis of pathogenic variants
title_full Inherited glycophosphatidylinositol deficiency variant database and analysis of pathogenic variants
title_fullStr Inherited glycophosphatidylinositol deficiency variant database and analysis of pathogenic variants
title_full_unstemmed Inherited glycophosphatidylinositol deficiency variant database and analysis of pathogenic variants
title_short Inherited glycophosphatidylinositol deficiency variant database and analysis of pathogenic variants
title_sort inherited glycophosphatidylinositol deficiency variant database and analysis of pathogenic variants
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625143/
https://www.ncbi.nlm.nih.gov/pubmed/31127708
http://dx.doi.org/10.1002/mgg3.743
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