دورية أكاديمية

Association of the C allele of rs479200 in the EGLN1 gene with COVID-19 severity in Indian population: a novel finding

التفاصيل البيبلوغرافية
العنوان: Association of the C allele of rs479200 in the EGLN1 gene with COVID-19 severity in Indian population: a novel finding
المؤلفون: 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
المصدر: Human Genomics, Vol 18, Iss 1, Pp 1-6 (2024)
بيانات النشر: BMC, 2024.
سنة النشر: 2024
المجموعة: LCC:Medicine
LCC:Genetics
مصطلحات موضوعية: EGLN1 gene, COVID-19, Hypoxia, rs479200, rs516651, Host genetic factors, Medicine, Genetics, QH426-470
الوصف: 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).
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1479-7364
Relation: https://doaj.org/toc/1479-7364
DOI: 10.1186/s40246-024-00572-1
URL الوصول: https://doaj.org/article/493495c034124de0857bfccccc96cd6a
رقم الأكسشن: edsdoj.493495c034124de0857bfccccc96cd6a
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:14797364
DOI:10.1186/s40246-024-00572-1