GWAS 确定的基因位点与严重 COVID-19 患者的肥胖和 2 型糖尿病有关。

Alexey Loktionov, Ksenia Kobzeva, Anna Dorofeeva, Vera Sergeeva, Olga Bushueva
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引用次数: 0

摘要

背景:肥胖和2型糖尿病(T2DM)等合并症已成为加剧COVID-19严重程度和死亡率的关键风险因素。目的:本研究调查了先前由 GWAS 确定为重症 COVID-19 风险因素的 SNPs 是否也与重症 COVID-19 住院患者的常见合并症(肥胖和 T2DM)相关:采用探针PCR技术对199名住院COVID-19患者的DNA样本进行基因分型,检测10个先前与严重COVID-19结局相关的GWAS SNPs(rs143334143 CCHCR1、rs111837807 CCHCR1、rs17078346 SLC6A20-LZTFL1、rs17713054 SLC6A20-LZTFL1、rs7949972 ELF5、rs61882275 ELF5、rs12585036 ATP11A、rs67579710 THBS3、THBS3-AS1、rs12610495 DPP9、rs9636867 IFNAR2)。结果分析表明,某些 SNP 与严重 COVID-19 患者肥胖和 T2DM 风险的增加有明显关联。具体来说,rs17713054 SLC6A20-LZTFL1(风险等位基因 A;几率比(OR)= 2.34,95% 置信区间(CI)= 1.24-4.4,p = 0.007)和 rs7949972 ELF5 SNP(风险等位基因 T;OR = 1.79,95% CI = 1.11-2.91,p = 0.015)与肥胖风险增加有关。SNP rs9636867 IFNAR2 与较高的 T2DM 风险有关(风险等位基因 G,OR = 8.28,95% CI = 1.69-40.64,p = 0.027)。利用基于模型的多因素降维(MB-MDR)方法,确定了与严重 COVID-19 患者肥胖相关的六个最显著的基因-基因相互作用模式,其中包括五个多态位点:rs7949972、rs17713054、rs61882275、rs12585036 和 rs143334143,它们参与了两个或两个以上最显著的 G-G 相互作用(pperm < 0.05)。总之,与重度 COVID-19 患者 T2DM 相关的 G-G 相互作用的最佳模型包括 8 个多态位点,其中 6 个位点(rs7949972、rs61882275、rs12585036、rs143334143、rs67579710 和 rs12610495)参与了两个或两个以上最显著的 G-G 相互作用:我们的研究为 GWAS 确定的 SNP 与严重 COVID-19 患者肥胖和 T2DM 风险之间的遗传关联提供了新的见解。
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GWAS-Identified Loci are Associated with Obesity and Type 2 Diabetes Mellitus in Patients with Severe COVID-19.

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.

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