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Genetic Epidemiology of Glucose-6-Phosphate Dehydrogenase Deficiency in the Arab World
A systematic search was implemented using four literature databases (PubMed, Embase, Science Direct and Web of Science) to capture all the causative mutations of Glucose-6-phosphate dehydrogenase (G6PD) deficiency (G6PDD) in the 22 Arab countries. Our search yielded 43 studies that captured 33 mutat...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112515/ https://www.ncbi.nlm.nih.gov/pubmed/27853304 http://dx.doi.org/10.1038/srep37284 |
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author | Doss, C. George Priya Alasmar, Dima R. Bux, Reem I. Sneha, P. Bakhsh, Fadheela Dad Al-Azwani, Iman Bekay, Rajaa El Zayed, Hatem |
author_facet | Doss, C. George Priya Alasmar, Dima R. Bux, Reem I. Sneha, P. Bakhsh, Fadheela Dad Al-Azwani, Iman Bekay, Rajaa El Zayed, Hatem |
author_sort | Doss, C. George Priya |
collection | PubMed |
description | A systematic search was implemented using four literature databases (PubMed, Embase, Science Direct and Web of Science) to capture all the causative mutations of Glucose-6-phosphate dehydrogenase (G6PD) deficiency (G6PDD) in the 22 Arab countries. Our search yielded 43 studies that captured 33 mutations (23 missense, one silent, two deletions, and seven intronic mutations), in 3,430 Arab patients with G6PDD. The 23 missense mutations were then subjected to phenotypic classification using in silico prediction tools, which were compared to the WHO pathogenicity scale as a reference. These in silico tools were tested for their predicting efficiency using rigorous statistical analyses. Of the 23 missense mutations, p.S188F, p.I48T, p.N126D, and p.V68M, were identified as the most common mutations among Arab populations, but were not unique to the Arab world, interestingly, our search strategy found four other mutations (p.N135T, p.S179N, p.R246L, and p.Q307P) that are unique to Arabs. These mutations were exposed to structural analysis and molecular dynamics simulation analysis (MDSA), which predicting these mutant forms as potentially affect the enzyme function. The combination of the MDSA, structural analysis, and in silico predictions and statistical tools we used will provide a platform for future prediction accuracy for the pathogenicity of genetic mutations. |
format | Online Article Text |
id | pubmed-5112515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-51125152016-11-23 Genetic Epidemiology of Glucose-6-Phosphate Dehydrogenase Deficiency in the Arab World Doss, C. George Priya Alasmar, Dima R. Bux, Reem I. Sneha, P. Bakhsh, Fadheela Dad Al-Azwani, Iman Bekay, Rajaa El Zayed, Hatem Sci Rep Article A systematic search was implemented using four literature databases (PubMed, Embase, Science Direct and Web of Science) to capture all the causative mutations of Glucose-6-phosphate dehydrogenase (G6PD) deficiency (G6PDD) in the 22 Arab countries. Our search yielded 43 studies that captured 33 mutations (23 missense, one silent, two deletions, and seven intronic mutations), in 3,430 Arab patients with G6PDD. The 23 missense mutations were then subjected to phenotypic classification using in silico prediction tools, which were compared to the WHO pathogenicity scale as a reference. These in silico tools were tested for their predicting efficiency using rigorous statistical analyses. Of the 23 missense mutations, p.S188F, p.I48T, p.N126D, and p.V68M, were identified as the most common mutations among Arab populations, but were not unique to the Arab world, interestingly, our search strategy found four other mutations (p.N135T, p.S179N, p.R246L, and p.Q307P) that are unique to Arabs. These mutations were exposed to structural analysis and molecular dynamics simulation analysis (MDSA), which predicting these mutant forms as potentially affect the enzyme function. The combination of the MDSA, structural analysis, and in silico predictions and statistical tools we used will provide a platform for future prediction accuracy for the pathogenicity of genetic mutations. Nature Publishing Group 2016-11-17 /pmc/articles/PMC5112515/ /pubmed/27853304 http://dx.doi.org/10.1038/srep37284 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Doss, C. George Priya Alasmar, Dima R. Bux, Reem I. Sneha, P. Bakhsh, Fadheela Dad Al-Azwani, Iman Bekay, Rajaa El Zayed, Hatem Genetic Epidemiology of Glucose-6-Phosphate Dehydrogenase Deficiency in the Arab World |
title | Genetic Epidemiology of Glucose-6-Phosphate Dehydrogenase Deficiency in the Arab World |
title_full | Genetic Epidemiology of Glucose-6-Phosphate Dehydrogenase Deficiency in the Arab World |
title_fullStr | Genetic Epidemiology of Glucose-6-Phosphate Dehydrogenase Deficiency in the Arab World |
title_full_unstemmed | Genetic Epidemiology of Glucose-6-Phosphate Dehydrogenase Deficiency in the Arab World |
title_short | Genetic Epidemiology of Glucose-6-Phosphate Dehydrogenase Deficiency in the Arab World |
title_sort | genetic epidemiology of glucose-6-phosphate dehydrogenase deficiency in the arab world |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112515/ https://www.ncbi.nlm.nih.gov/pubmed/27853304 http://dx.doi.org/10.1038/srep37284 |
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