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Association of the C allele of rs479200 in the EGLN1 gene with COVID-19 severity in Indian population: a novel finding
Human Genomics ( IF 4.5 ) Pub Date : 2024-01-30 , DOI: 10.1186/s40246-024-00572-1
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

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).

中文翻译:

EGLN1 基因中 rs479200 的 C 等位基因与印度人群中 COVID-19 严重程度的关联:一项新发现

本研究调查了宿主 EGLN1/PHD2 基因中的两个单核苷酸多态性 (SNP) — rs479200 和 rs516651 与 COVID-19 严重程度的关联。纳入了来自印度人群(2020 年 3 月至 2021 年 6 月)的 158 名 COVID-19 患者的回顾性队列。值得注意的是,在重症 COVID-19 患者中,C 等位基因的频率 (0.664) 是 T 等位基因 (0.336) 的两倍。在此,我们报告了一项新发现,即 EGLN1 基因中 rs479200 的 C 等位基因会带来严重 COVID-19 的高风险(比值比 — 6.214 (1.84–20.99) p = 0.003;9.421 (2.019–43.957) p = 0.004) ,在加性继承模型中(分别调整和未调整)。
更新日期:2024-01-30
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