Genetic Epidemiology of Glucose-6-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...

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Bibliographic Details
Published in:Scientific reports 2016-11, Vol.6, p.37284
Main Authors: Doss, C George Priya, Alasmar, Dima R, Bux, Reem I, Sneha, P, Bakhsh, Fadheela Dad, Al-Azwani, Iman, Bekay, Rajaa El, Zayed, Hatem
Format: Article
Language:English
Subjects:
Classification
Dehydrogenase
Dehydrogenases
Epidemiology
Glucosephosphate dehydrogenase
Missense mutation
Molecular dynamics
Mutation
Pathogenicity
Pathogens
Simulation analysis
Statistical analysis
Statistics
Structural analysis
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Summary: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.
ISSN:2045-2322
DOI:10.1038/srep37284