Negar Sarhangi, Noushin Fahimfar, Fatemeh Rouhollah, Farshad Sharifi, Mohammad Bidkhori, Shekoufeh Nikfar, Afshin Ostovar, Iraj Nabipour, George P Patrinos, Mandana Hasanzad
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Genotyping of three <i>UGT1A1</i> variant alleles (<i>UGT1A1</i>*6, <i>UGT1A1</i>*27, and <i>UGT1A1</i>*80) was performed on a group of 2730 elderly Iranian participants with the Infinium Global Screening Array.</p><p><strong>Results: </strong>The genotyping analysis revealed significant differences compared to major global populations that were addressed in the gnomAD database. <i>UGT1A1</i>*80 was found at a high frequency (32.34%), and followed by UGT<i>1A1</i>*6 (0.76%) and <i>UGT1A1</i>*27 (0.018) at a low frequency in the Iranian group.</p><p><strong>Conclusions: </strong>The <i>UGT1A1</i>*80 was the more prevalent allele between investigated alleles in the present study which can be considered as an important allele for pharmacogenomic testing.</p>","PeriodicalId":15635,"journal":{"name":"Journal of Diabetes and Metabolic Disorders","volume":"23 2","pages":"2279-2287"},"PeriodicalIF":1.8000,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11599689/pdf/","citationCount":"0","resultStr":"{\"title\":\"Allele frequency of genetic variations related to the <i>UGT1A1</i> gene-drug pair in a group of Iranian population.\",\"authors\":\"Negar Sarhangi, Noushin Fahimfar, Fatemeh Rouhollah, Farshad Sharifi, Mohammad Bidkhori, Shekoufeh Nikfar, Afshin Ostovar, Iraj Nabipour, George P Patrinos, Mandana Hasanzad\",\"doi\":\"10.1007/s40200-024-01495-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>The efficacy and safety of drug treatments vary widely due to genetic variations. 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引用次数: 0
摘要
目的:由于基因变异,药物治疗的有效性和安全性差异很大。药物基因组学研究基因变异对患者药物反应的影响。本研究调查了伊朗人群中UGT1A1遗传变异的频率,并将其与全球数据进行比较,为伊朗人群的药物基因组学方法提供见解。方法:本研究采用Bushehr老年健康(BEH)项目的数据,这是一项基于人群的队列研究,研究对象为年龄≥60岁的老年人群。使用Infinium Global Screening Array对2730名伊朗老年人进行UGT1A1*6、UGT1A1*27和UGT1A1*80三个UGT1A1变异等位基因的基因分型。结果:基因分型分析显示与gnomAD数据库中处理的主要全球人群相比存在显著差异。在伊朗人群中,UGT1A1*80的频率最高(32.34%),其次是UGT1A1*6(0.76%)和UGT1A1*27(0.018)。结论:UGT1A1*80是本研究研究的等位基因中较为普遍的等位基因,可作为药物基因组学检测的重要等位基因。
Allele frequency of genetic variations related to the UGT1A1 gene-drug pair in a group of Iranian population.
Objectives: The efficacy and safety of drug treatments vary widely due to genetic variations. Pharmacogenomics investigates the impact of genetic variations on patient drug response. This research investigates the frequency of UGT1A1 genetic variations in the Iranian population, comparing them with global data to provide insights into the pharmacogenomic approach in the Iranian population.
Methods: The study was conducted using the data of the Bushehr Elderly Health (BEH) program, a population-based cohort study of the elderly population aged ≥ 60 years. Genotyping of three UGT1A1 variant alleles (UGT1A1*6, UGT1A1*27, and UGT1A1*80) was performed on a group of 2730 elderly Iranian participants with the Infinium Global Screening Array.
Results: The genotyping analysis revealed significant differences compared to major global populations that were addressed in the gnomAD database. UGT1A1*80 was found at a high frequency (32.34%), and followed by UGT1A1*6 (0.76%) and UGT1A1*27 (0.018) at a low frequency in the Iranian group.
Conclusions: The UGT1A1*80 was the more prevalent allele between investigated alleles in the present study which can be considered as an important allele for pharmacogenomic testing.
期刊介绍:
Journal of Diabetes & Metabolic Disorders is a peer reviewed journal which publishes original clinical and translational articles and reviews in the field of endocrinology and provides a forum of debate of the highest quality on these issues. Topics of interest include, but are not limited to, diabetes, lipid disorders, metabolic disorders, osteoporosis, interdisciplinary practices in endocrinology, cardiovascular and metabolic risk, aging research, obesity, traditional medicine, pychosomatic research, behavioral medicine, ethics and evidence-based practices.As of Jan 2018 the journal is published by Springer as a hybrid journal with no article processing charges. All articles published before 2018 are available free of charge on springerlink.Unofficial 2017 2-year Impact Factor: 1.816.