AI Article Synopsis

  • - Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes COVID-19, with genetic factors influencing disease severity and associated issues like blood clotting problems.
  • - A study examined genetic variants in hemostatic genes among 332 severe COVID-19 patients and 1,668 controls, identifying several genes linked to worse outcomes.
  • - Findings helped create a polygenic risk score to differentiate between severe cases and controls, with further analysis confirming the role of specific genetic variants in increasing the risk of severe COVID-19.

Article Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the etiologic agent of the coronavirus disease 2019 (COVID-19) pandemic. Besides virus intrinsic characteristics, the host genetic makeup is predicted to account for the extreme clinical heterogeneity of the disease, which is characterized, among other manifestations, by a derangement of hemostasis associated with thromboembolic events. To date, large-scale studies confirmed that genetic predisposition plays a role in COVID-19 severity, pinpointing several susceptibility genes, often characterized by immunologic functions. With these premises, we performed an association study of common variants in 32 hemostatic genes with COVID-19 severity. We investigated 49,845 single-nucleotide polymorphism in a cohort of 332 Italian severe COVID-19 patients and 1668 controls from the general population. The study was conducted engaging a class of students attending the second year of the MEDTEC school (a six-year program, held in collaboration between Humanitas University and the Politecnico of Milan, allowing students to gain an MD in Medicine and a Bachelor's Degree in Biomedical Engineering). Thanks to their willingness to participate in the fight against the pandemic, we evidenced several suggestive hits ( < 0.001), involving the , , , , and genes (top signal in : chr2:127192625:G:A, OR = 2.23, 95%CI = 1.50-3.34, = 8.77 × 10). The top signals in , , , were instrumental for the construction of a polygenic risk score, whose distribution was significantly different between cases and controls ( = 1.62 × 10 for difference in median levels). Finally, a meta-analysis performed using data from the Regeneron database confirmed the contribution of the variant chr1:11753033:G:A to the predisposition to severe COVID-19 (pooled OR = 1.21, 95%CI = 1.09-1.33, = 4.34 × 10 in the weighted analysis).

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622845PMC
http://dx.doi.org/10.3390/jpm11111166DOI Listing

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