
Meta-analysis of HNF1A-MODY3 variants among human population
Author(s) -
Rachna Behl,
Nishtha Malhotra,
Vinay Joshi,
Shruti Poojary,
Sanniya Middha,
Sanjay Gupta,
Arinola B. Olaonipekun,
Ikechukwu Okoye,
Bhushan Wagh,
Dibyendu Biswas,
Chukwuemelie Aginah,
Bhavya Saini,
Chinaza Nwanya,
Sopuluchukwu Ugwu,
Modupe Mercy Anthony,
Xuanyu S. Fang,
Ogunfile Foluso,
Abdulrahman Tudu Ibrahim
Publication year - 2022
Publication title -
journal of diabetes and metabolic disorders
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 33
ISSN - 2251-6581
DOI - 10.1007/s40200-022-00975-8
Subject(s) - hnf1a , genetics , biology , population , genome wide association study , single nucleotide polymorphism , identification (biology) , meta analysis , genetic association , computational biology , gene , medicine , genotype , botany , environmental health
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.