Potential associations of selected polymorphic genetic variants with COVID-19 disease susceptibility and severity
Mozner, O.; Szabo, E.; Kulin, A.; Varady, G.; Moldvay, J.; Vass, V.; Szentesi, A.; Janosi, A.; Hegyi, P.; Sarkadi, B.
Show abstract
In this study, we analyzed the potential associations of selected laboratory and anamnestic parameters, as well as 12 genetic polymorphisms (SNPs), with clinical COVID-19 occurrence and severity in 869 hospitalized patients. The SNPs analyzed by qPCR were selected based on population-wide genetic (GWAS) data previously indicating association with the severity of COVID-19. We confirmed the associations of disease with several clinical laboratory and anamnestic parameters and found an unexpected association between less severe disease and the loss of smell and taste. In most cases, selected SNP analysis supported earlier results by indicating genetic associations with hospitalization and disease severity, while the potential role of some previously unrecognized polymorphisms has also been observed. A genetic association was indicated between the presence of a reduced-function ABCG2 transporter variant and a less severe disease, which was also observed in diabetic patients. Our current results, which should be reinforced by larger studies, indicate that together with laboratory and anamnestic parameters, genetic polymorphisms may have predictive value for the clinical occurrence and severity of COVID-19.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- LEF1-AS1 deregulation in the peripheral blood of patients with persistent post-COVID symptoms 94%
- Molecular genetics of GLUT1DS Italian pediatric cohort: 10 novel related-disease variants and structural analysis 93%
- Candidate genes for IgA nephropathy in pediatric patients: exome-wide association study 92%
Similar papers in this journal
- COVID-19 susceptibility variants associate with blood clots, thrombophlebitis and circulatory diseases 95%
- Development and validation of a clinical risk score to predict the risk of SARS-CoV-2 infection from administrative data: a population-based cohort study from Italy 94%
- SARS-CoV-2 infection induces mixed M1/M2 phenotype in circulating monocytes and alterations in both dendritic cell and monocyte subsets 94%
Similar papers in this journal
- A proposed general variant classification framework using chronic pancreatitis as a disease model 93%
- Evaluation of a genetic risk score for severity of COVID-19 using human chromosomal-scale length variation. 91%
- The integration of large-scale public data and network analysis uncovers molecular characteristics of psoriasis 90%
Similar papers in this journal
- IFNL4 genetic variant can predispose to COVID-19 94%
- Vitamin D-related polymorphisms and vitamin D levels as risk biomarkers of COVID-19 infection severity 93%
- High Precision Characterization Of Rccx Rearrangements In A 21-Hydroxylase Deficiency Latin American Cohort Using Oxford Nanopore Long Read Sequencing 93%
Similar papers in this journal
- Poking COVID-19: insights on genomic constraints among immune-related genes between Qatari and Italian populations 94%
- Structural variability, expression profile and pharmacogenetics properties of TMPRSS2 gene as a potential target for COVID-19 therapy 94%
- Transcriptional differences for COVID-19 Disease Map genes between males and females indicate a different basal immunophenotype relevant to the disease 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.