GWAS-Identified Loci are Associated with Obesity and Type 2 Diabetes Mellitus in Patients with Severe COVID-19.

Autor:	Loktionov A; Department of Anesthesia and Critical Care, Institute of Continuing Education, Kursk State Medical University, 305041 Kursk, Russia.; Laboratory of Genomic Research, Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University, 305041 Kursk, Russia., Kobzeva K; Laboratory of Genomic Research, Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University, 305041 Kursk, Russia., Dorofeeva A; Laboratory of Genomic Research, Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University, 305041 Kursk, Russia., Sergeeva V; Department of Anesthesia and Critical Care, Institute of Continuing Education, Kursk State Medical University, 305041 Kursk, Russia., Bushueva O; Laboratory of Genomic Research, Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University, 305041 Kursk, Russia.; Department of Biology, Medical Genetics and Ecology, Kursk State Medical University, 305041 Kursk, Russia.
Jazyk:	angličtina
Zdroj:	Frontiers in bioscience (Scholar edition) [Front Biosci (Schol Ed)] 2024 Aug 05; Vol. 16 (3), pp. 14.
DOI:	10.31083/j.fbs1603014
Abstrakt:	Background: Comorbidities such as obesity and type 2 diabetes mellitus (T2DM) have emerged as critical risk factors exacerbating the severity and mortality of COVID-19. Meanwhile, numerous genome-wide association studies (GWAS) have identified single nucleotide polymorphisms (SNPs) associated with increased susceptibility to severe COVID-19. Aim: This study investigated whether SNPs previously identified by GWAS as risk factors for severe COVID-19 also correlate with common comorbidities-obesity and T2DM-in hospitalized patients with severe COVID-19. Methods: DNA samples from 199 hospitalized COVID-19 patients were genotyped using probe-based PCR for 10 GWAS SNPs previously implicated in severe COVID-19 outcomes (rs143334143 CCHCR1 , rs111837807 CCHCR1 , rs17078346 SLC6A20 - LZTFL1 , rs17713054 SLC6A20 - LZTFL1 , rs7949972 ELF5 , rs61882275 ELF5 , rs12585036 ATP11A , rs67579710 THBS3 , THBS3 - AS1 , rs12610495 DPP9 , rs9636867 IFNAR2 ). Results: The analysis revealed significant associations between certain SNPs and the increased risk of obesity and T2DM in severe COVID-19 patients. Specifically, rs17713054 SLC6A20 - LZTFL1 (risk allele A; odds ratio (OR) = 2.34, 95% confidence interval (CI) = 1.24-4.4, p = 0.007) and rs7949972 ELF5 SNP (risk allele T; OR = 1.79, 95% CI = 1.11-2.91, p = 0.015) were associated with increased risk of obesity. SNP rs9636867 IFNAR2 was associated with a higher risk of T2DM (risk allele G, OR = 8.28, 95% CI = 1.69-40.64, p = 0.027). Using the model-based multifactor dimensionality reduction (MB-MDR) approach, the six most significant gene-gene interaction patterns associated with obesity in severe COVID-19 patients were identified and included five polymorphic loci: rs7949972, rs17713054, rs61882275, rs12585036, and rs143334143, participating in two or more of the most significant G-G interactions ( pperm < 0.05). In total, the best models of G-G interactions associated with T2DM in patients with severe COVID-19 included eight polymorphic loci, six of which, rs7949972, rs61882275, rs12585036, rs143334143, rs67579710, and rs12610495, were involved in two or more of the most significant G-G interactions. Conclusions: Our study provides novel insights into the genetic associations between GWAS-identified SNPs and the risk of obesity and T2DM in patients with severe COVID-19. Competing Interests: The authors declare no conflict of interest. (© 2024 The Author(s). Published by IMR Press.)
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu