| Autor: |
Renuka Harit, Sajal De, Piyoosh Kumar Singh, Deepika Kashyap, Manish Kumar, Dibakar Sahu, Chander Prakash Yadav, Mradul Mohan, Vineeta Singh, Ram Singh Tomar, Kailash C. Pandey, Kapil Vashisht |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Human Genomics, Vol 18, Iss 1, Pp 1-6 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1479-7364 |
| DOI: |
10.1186/s40246-024-00572-1 |
| Popis: |
Abstract The present study investigated two single nucleotide polymorphisms (SNPs)—rs479200 and rs516651 in the host EGLN1/PHD2 gene for their association with COVID-19 severity. A retrospective cohort of 158 COVID-19 patients from the Indian population (March 2020 to June 2021) was enrolled. Notably, the frequency of C allele (0.664) was twofold higher than T allele (0.336) in severe COVID-19 patients. Here, we report a novel finding that the C allele of rs479200 in the EGLN1 gene imparts a high risk of severe COVID-19 (odds ratio—6.214 (1.84–20.99) p = 0.003; 9.421 (2.019–43.957) p = 0.004), in additive inheritance model (adjusted and unadjusted, respectively). |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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Full text from SpringerLink