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Abstract：
OBJECTIVE: This study aimed to explore the potential correlation between specific single nucleotide polymorphisms (TYK2, IFITM3, IFNAR2, and OAS3 variants) and the severity of COVID-19 in Moroccan patients.
METHODS: A genetic analysis was conducted on 109 patients with PCR-confirmed SARS-CoV-2 infection in Morocco. Among these patients, 46% were hospitalized in the intensive care unit, while 59% were not hospitalized. Importantly, all patients lacked known risk factors associated with COVID-19 severity. Genotyping was performed to identify variations in TYK2 rs74956615, IFITM3 rs12252, IFNAR2 rs2236757, and OAS3 rs10735079. Statistical analysis was applied using codominant, dominant and recessive logistic regression models to assess correlations with COVID-19 severity.
RESULTS: Our findings revealed no significant correlation between TYK2 rs74956615, IFITM3 rs12252, IFNAR2 rs2236757, and OAS3 rs10735079 with COVID-19 severity in Moroccan patients, as indicated in logistic regression models (p > .05). Interestingly, these results may offer insights into the mitigated impact of the COVID-19 pandemic and the reduced severity observed in SARS-CoV-2 infected patients in Morocco. Age, however, exhibited a significant correlation with severity (p < .001), with a trend towards increased likelihood of ICU admission with advancing age. Additionally, In the severe group, a higher proportion of patients were females (54%), indicating a statistically significant correlation with disease severity (p = .04). Nevertheless, female ICU patients aged above 60 years accounted for 37%, compared to 17% for males.
CONCLUSIONS: This study underscores the absence of a genetic association between the selected polymorphisms and COVID-19 severity in Moroccan patients. Advanced age emerges as the primary factor influencing the severity of COVID-19 patients without comorbidities. We recommend setting the threshold for advanced age at 60 years as a risk factor for severe forms of COVID-19.
METHODS: A genetic analysis was conducted on 109 patients with PCR-confirmed SARS-CoV-2 infection in Morocco. Among these patients, 46% were hospitalized in the intensive care unit, while 59% were not hospitalized. Importantly, all patients lacked known risk factors associated with COVID-19 severity. Genotyping was performed to identify variations in TYK2 rs74956615, IFITM3 rs12252, IFNAR2 rs2236757, and OAS3 rs10735079. Statistical analysis was applied using codominant, dominant and recessive logistic regression models to assess correlations with COVID-19 severity.
RESULTS: Our findings revealed no significant correlation between TYK2 rs74956615, IFITM3 rs12252, IFNAR2 rs2236757, and OAS3 rs10735079 with COVID-19 severity in Moroccan patients, as indicated in logistic regression models (p > .05). Interestingly, these results may offer insights into the mitigated impact of the COVID-19 pandemic and the reduced severity observed in SARS-CoV-2 infected patients in Morocco. Age, however, exhibited a significant correlation with severity (p < .001), with a trend towards increased likelihood of ICU admission with advancing age. Additionally, In the severe group, a higher proportion of patients were females (54%), indicating a statistically significant correlation with disease severity (p = .04). Nevertheless, female ICU patients aged above 60 years accounted for 37%, compared to 17% for males.
CONCLUSIONS: This study underscores the absence of a genetic association between the selected polymorphisms and COVID-19 severity in Moroccan patients. Advanced age emerges as the primary factor influencing the severity of COVID-19 patients without comorbidities. We recommend setting the threshold for advanced age at 60 years as a risk factor for severe forms of COVID-19.
摘要：
目的：本研究旨在探讨摩洛哥患者中特定单核苷酸多态性（TYK2、IFITM3、IFNAR2和OAS3变异）与COVID-19严重程度之间的潜在相关性。
方法：对摩洛哥109例PCR确诊的SARS-CoV-2感染患者进行了基因分析。在这些患者中,46%的人在重症监护病房住院,59%没有住院。重要的是,所有患者均缺乏已知的与COVID-19严重程度相关的危险因素.进行基因分型以鉴定TYK2rs74956615、IFITM3rs12252、IFNAR2rs2236757和OAS3rs10735079中的变异。统计分析采用共显性、显性和隐性逻辑回归模型评估与COVID-19严重程度的相关性。
结果：我们的发现显示摩洛哥患者的TYK2rs74956615、IFITM3rs12252、IFNAR2rs2236757和OAS3rs10735079与COVID-19严重程度之间没有显着相关性，如逻辑回归模型所示(p>0.05)。有趣的是,这些结果可能有助于了解COVID-19大流行的缓解影响以及摩洛哥SARS-CoV-2感染患者的严重程度降低.年龄,然而,表现出与严重程度显著相关(p<.001)，随着年龄的增长，ICU入院的可能性有增加的趋势。此外,在严重的群体中，女性患者比例较高(54%)，表明与疾病严重程度有统计学意义的相关性(p=.04)。然而，60岁以上的ICU女性患者占37%,相比之下，男性为17%。
结论：这项研究强调了摩洛哥患者的所选多态性与COVID-19严重程度之间不存在遗传关联。高龄是影响无合并症的COVID-19患者严重程度的主要因素。我们建议将高龄阈值设定为60岁，作为严重形式COVID-19的危险因素。
方法：对摩洛哥109例PCR确诊的SARS-CoV-2感染患者进行了基因分析。在这些患者中,46%的人在重症监护病房住院,59%没有住院。重要的是,所有患者均缺乏已知的与COVID-19严重程度相关的危险因素.进行基因分型以鉴定TYK2rs74956615、IFITM3rs12252、IFNAR2rs2236757和OAS3rs10735079中的变异。统计分析采用共显性、显性和隐性逻辑回归模型评估与COVID-19严重程度的相关性。
结果：我们的发现显示摩洛哥患者的TYK2rs74956615、IFITM3rs12252、IFNAR2rs2236757和OAS3rs10735079与COVID-19严重程度之间没有显着相关性，如逻辑回归模型所示(p>0.05)。有趣的是,这些结果可能有助于了解COVID-19大流行的缓解影响以及摩洛哥SARS-CoV-2感染患者的严重程度降低.年龄,然而,表现出与严重程度显著相关(p<.001)，随着年龄的增长，ICU入院的可能性有增加的趋势。此外,在严重的群体中，女性患者比例较高(54%)，表明与疾病严重程度有统计学意义的相关性(p=.04)。然而，60岁以上的ICU女性患者占37%,相比之下，男性为17%。
结论：这项研究强调了摩洛哥患者的所选多态性与COVID-19严重程度之间不存在遗传关联。高龄是影响无合并症的COVID-19患者严重程度的主要因素。我们建议将高龄阈值设定为60岁，作为严重形式COVID-19的危险因素。
