Meta-analysis of HNF1A-MODY3 variants among human population

Background Previously, numerous case-control studies have highlighted variants responsible for Maturity onset diabetes of young (MODY). However, these studies have been conducted among diverse populations and hence yielded contradictory results. We, therefore, performed a meta-analysis to precisely...

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Published in:Journal of diabetes and metabolic disorders 2022-02, Vol.21 (1), p.1037-1046
Main Authors: Behl, Rachna, Malhotra, Nishtha, Joshi, Vinay, Poojary, Shruti, Middha, Sanniya, Gupta, Shalini, Olaonipekun, Arinola B., Okoye, Ikechukwu, Wagh, Bhushan, Biswas, Dibyendu, Aginah, Chukwuemelie, Saini, Bhavya, Nwanya, Chinaza, Ugwu, Sopuluchukwu, Anthony, Modupe M., Fang, Xuanyu S., Foluso, Ogunfile, Ibrahim, Abdulrahman Tudu
Format: Article
Language:English
Subjects:
Analysis
Chromosomes
Diabetes
Diabetes therapy
Endocrinology
Genetic aspects
Genetic polymorphisms
Genomics
Medicine
Medicine & Public Health
Metabolic Diseases
Review
Review Article
Type 2 diabetes
Visualization (Computers)
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Summary:Background Previously, numerous case-control studies have highlighted variants responsible for Maturity onset diabetes of young (MODY). However, these studies have been conducted among diverse populations and hence yielded contradictory results. We, therefore, performed a meta-analysis to precisely find the association of SNPs with the disease for the HNF1A gene. Objective Meta-analysis of clinically defined studies deciphering mutations in the HNF1A gene responsible for the development of MODY3 was conducted among various populations to determine associations using statistical approaches. Methods The curation of 505 research articles published between the years 2000–2021 was carried out. Visualization of data-related protocols and statistical-analysis were conducted, which led to the identification of highly prevalent mutations among different populations (majorly Europe). Further comparison between the frequencies of the control (healthy population) and test (diseased population) dataset generated through curation was performed. Results We identified nine MODY3 mutations (rs587776825, rs1169288, rs1800574, rs2464196, rs137853244, rs137853238, rs587780357, rs137853240 and rs137853243) at the genome-wide significance level ( p  
ISSN:2251-6581
2251-6581
DOI:10.1007/s40200-022-00975-8