tetano
Editor, Senior Moderator
BMC Infect Dis
. 2025 Feb 11;25(1):201.
doi: 10.1186/s12879-025-10551-z. The ZNF717-rs2918520 genotype contributes to COVID-19 severity: a Taiwanese cohort study
Yang-Hsiang Lin[SUP] #[/SUP][SUP] 1 [/SUP], Jen Yu[SUP] #[/SUP][SUP] 2 [/SUP], Yu-Chuan Teng[SUP] #[/SUP][SUP] 3 [/SUP], Chung-Guei Huang[SUP] 4 5 [/SUP], Siew-Na Lim[SUP] 6 7 [/SUP], Ming-Wei Lai[SUP] 1 7 8 [/SUP], Wey-Ran Lin[SUP] 9 10 11 [/SUP]
Affiliations
Background: Coronavirus disease 2019 (COVID-19) has been a challenging pandemic since late 2019 and patients with COVID-19-related severe respiratory failure associated with high mortality rates worldwide. Genetic information such as single nucleotide polymorphisms (SNPs) serves as a predictor or prognostic factor in disease development and cancer progression. This study aimed to explore the clinical associations of SNPs with mild and severe COVID-19 symptoms in the Taiwanese population.
Methods: SARS-CoV-2-infected patients in pilot cohort study (cohort 1, n = 39) and validation cohort (cohort 2, n = 71) were enrolled. The clinical significance of SNPs in those patients with mild and severe symptoms was investigated by whole exon sequencing, polymerase chain reaction and Sanger sequencing.
Results: The current study investigated Taiwanese patients with COVID-19. We found that clinical parameters such as age, aspartate aminotransferase, blood urea nitrogen, C-reactive protein, ferritin, and segment were positively associated with severe COVID-19 symptoms but that albumin, lymphocytes, and basophils correlated negatively with severe symptoms in two independent cohorts. By conducting whole-exome sequencing, we identified a novel SNP, ZNF717-rs2918520, the GG genotype of which was significantly associated with severe symptoms in COVID-19 patients.
Conclusions: Our findings highlight that the ZNF717-rs2918520 GG genotype may serve as a predictor for evaluating the severity of COVID-19 in Taiwan.
Keywords: COVID-19; Predictor; SNP; Severity; ZNF717-rs2918520.
. 2025 Feb 11;25(1):201.
doi: 10.1186/s12879-025-10551-z. The ZNF717-rs2918520 genotype contributes to COVID-19 severity: a Taiwanese cohort study
Yang-Hsiang Lin[SUP] #[/SUP][SUP] 1 [/SUP], Jen Yu[SUP] #[/SUP][SUP] 2 [/SUP], Yu-Chuan Teng[SUP] #[/SUP][SUP] 3 [/SUP], Chung-Guei Huang[SUP] 4 5 [/SUP], Siew-Na Lim[SUP] 6 7 [/SUP], Ming-Wei Lai[SUP] 1 7 8 [/SUP], Wey-Ran Lin[SUP] 9 10 11 [/SUP]
Affiliations
- PMID: 39934654
- PMCID: PMC11817965
- DOI: 10.1186/s12879-025-10551-z
Background: Coronavirus disease 2019 (COVID-19) has been a challenging pandemic since late 2019 and patients with COVID-19-related severe respiratory failure associated with high mortality rates worldwide. Genetic information such as single nucleotide polymorphisms (SNPs) serves as a predictor or prognostic factor in disease development and cancer progression. This study aimed to explore the clinical associations of SNPs with mild and severe COVID-19 symptoms in the Taiwanese population.
Methods: SARS-CoV-2-infected patients in pilot cohort study (cohort 1, n = 39) and validation cohort (cohort 2, n = 71) were enrolled. The clinical significance of SNPs in those patients with mild and severe symptoms was investigated by whole exon sequencing, polymerase chain reaction and Sanger sequencing.
Results: The current study investigated Taiwanese patients with COVID-19. We found that clinical parameters such as age, aspartate aminotransferase, blood urea nitrogen, C-reactive protein, ferritin, and segment were positively associated with severe COVID-19 symptoms but that albumin, lymphocytes, and basophils correlated negatively with severe symptoms in two independent cohorts. By conducting whole-exome sequencing, we identified a novel SNP, ZNF717-rs2918520, the GG genotype of which was significantly associated with severe symptoms in COVID-19 patients.
Conclusions: Our findings highlight that the ZNF717-rs2918520 GG genotype may serve as a predictor for evaluating the severity of COVID-19 in Taiwan.
Keywords: COVID-19; Predictor; SNP; Severity; ZNF717-rs2918520.