Please use this identifier to cite or link to this item: http://hdl.handle.net/10668/2560
Title: Genetic Epidemiology of Glucose-6-Dehydrogenase Deficiency in the Arab World.
Authors: Priya Doss, C George
Alasmar, Dima R
Bux, Reem I
Sneha, P
Bakhsh, Fadheela Dad
Al-Azwani, Iman
Bekay, Rajaa El
Zayed, Hatem
metadata.dc.contributor.authoraffiliation: [Priya Doss,CG; Sneha,BP] Department of Integrative Biology, School of Biosciences and Technology, VIT University, Vellore, India. [Alasmar,DR; Bux,RI; Bakhsh,F; Al-Azwani,I; Zayed,H] College of Health Sciences, Biomedical Sciences Department, Qatar University, Doha, Qatar. [El Bekay,R] CIBER Pathophysiology of obesity and nutrition CB06/03, Carlos III Health Institute. Unidad de Gestion Clínica Intercentros de Endocrinología y Nutrición, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Regional Universitario de Málaga/Universidad de Málaga, Málaga, Spain.
Keywords: Mundo árabe;Árabes;Glucosafosfato deshidrogenasa;Deficiencia de glucosafosfato deshidrogenas;Humans;Medio oriente;Simulación de dinámica molecular;Mutación;Mutación missense;PubMed;Eliminación de secuencia;Virulencia
metadata.dc.subject.mesh: Medical Subject Headings::Disciplines and Occupations::Social Sciences::Anthropology::Anthropology, Cultural::Culture::Civilization::Arab World
Medical Subject Headings::Named Groups::Persons::Population Groups::Ethnic Groups::Arabs
Medical Subject Headings::Diseases::Congenital, Hereditary, and Neonatal Diseases and Abnormalities::Genetic Diseases, Inborn::Metabolism, Inborn Errors::Carbohydrate Metabolism, Inborn Errors::Glucosephosphate Dehydrogenase Deficiency
Medical Subject Headings::Diseases::Congenital, Hereditary, and Neonatal Diseases and Abnormalities::Genetic Diseases, Inborn::Metabolism, Inborn Errors::Carbohydrate Metabolism, Inborn Errors::Glucosephosphate Dehydrogenase Deficiency
Medical Subject Headings::Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans
Medical Subject Headings::Geographicals::Geographic Locations::Historical Geographic Locations::Middle East
Medical Subject Headings::Phenomena and Processes::Chemical Phenomena::Molecular Structure::Molecular Dynamics Simulation
Medical Subject Headings::Phenomena and Processes::Genetic Phenomena::Genetic Variation::Mutation
Medical Subject Headings::Phenomena and Processes::Genetic Phenomena::Genetic Variation::Mutation::Mutation, Missense
Medical Subject Headings::Information Science::Information Science::Medical Informatics::Medical Informatics Applications::Information Systems::Online Systems::PubMed
Medical Subject Headings::Phenomena and Processes::Genetic Phenomena::Genetic Variation::Mutation::Sequence Deletion
Medical Subject Headings::Phenomena and Processes::Microbiological Phenomena::Virulence
Issue Date: 17-Nov-2016
Publisher: Nature Publishing Group
Citation: Doss CG, Alasmar DR, Bux RI, Sneha P, Bakhsh FD, Al-Azwani I, et al. Genetic Epidemiology of Glucose-6-Dehydrogenase Deficiency in the Arab World. Sci Rep. 2016 ; 6:37284
Abstract: 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.
Description: Journal Article;
URI: http://hdl.handle.net/10668/2560
metadata.dc.relation.publisherversion: http://www.nature.com/articles/srep37284#abstract
metadata.dc.identifier.doi: 10.1038/srep37284
ISSN: 2045-2322 (Online)
Appears in Collections:01- Artículos - Hospital Regional de Málaga
01- Artículos - IBIMA. Instituto de Investigación Biomédica de Málaga

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