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ijs-5299
Method Development of Nested Allele-Specific Multiplex Polymerase Chain Reaction (NASM-PCR) for the Irritable Bowel Syndrome (IBS)-related Gene Polymorphisms
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Polymorphisms in the genes of G-protein subunit beta 3 (GNB3); rs5443, tryptophan hydroxylase 1 (TPH1); rs211105 and rs4537731, tryptophan hydroxylase 2 (TPH2); rs4570625 and sodium voltage-gated channel alpha subunit 5 (SCN5A); rs1805124, have known to cause the abnormalities in the gastrointestinal tract that are implicated to irritable bowel syndrome (IBS) predisposition. Upfront genetic polymorphism genotyping in IBS-related gene polymorphisms will help to intervene and guide the decision-making in the management of IBS patients. This study aimed to develop a genotyping method to detect the respective polymorphisms using nested allele-specific multiplex polymerase chain reaction (NASM-PCR). A combination of nested and allele-specific multiplex PCR method was developed to determine the five single nucleotide polymorphisms (SNPs) mentioned. Annealing temperature, annealing and extension times, and the concentrations of MgCl2, primers, and DNA samples were optimized in the PCR. Sanger sequencing was performed to validate the genotyping results. NASM-PCR for IBS-related gene polymorphisms were successfully developed. DNA bands which correspond to the genes and SNPs have shown 100% homologous with the gene database. The developed method of NASM-PCR was reproducible and specific to be used for determining the respective polymorphisms of IBS. Notably, the described method can easily be integrated into other laboratories for population study or clinical use.

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Publication Date
Thu Aug 01 2019
Journal Name
Journal Of Economics And Administrative Sciences
مقارنة مقدرات بيز لدالة المعولية لتوزيع باريتو من النوع الاول باستعمال دوال معلوماتية مضاعفة مختلفة
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The comparison of double informative priors which are assumed for the reliability function of Pareto type I distribution. To estimate the reliability function of Pareto type I distribution by using Bayes estimation, will be  used two different kind of information in the Bayes estimation; two different priors have been selected for the parameter of Pareto  type I distribution . Assuming distribution of three double prior’s chi- gamma squared distribution, gamma - erlang distribution, and erlang- exponential distribution as double priors. The results of the derivaties of these estimators under the squared error loss function with two different double priors. Using the simulation technique, to compare the performance for

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