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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.
Harit, Renuka; De, Sajal; Singh, Piyoosh Kumar; Kashyap, Deepika; Kumar, Manish; Sahu, Dibakar; Yadav, Chander Prakash; Mohan, Mradul; Singh, Vineeta; Tomar, Ram Singh; Pandey, Kailash C; Vashisht, Kapil.
Afiliação
  • Harit R; ICMR-National Institute of Malaria Research, New Delhi, India.
  • De S; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.
  • Singh PK; All India Institute of Medical Sciences, Raipur, Chhattisgarh, India.
  • Kashyap D; ICMR-National Institute of Malaria Research, New Delhi, India.
  • Kumar M; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.
  • Sahu D; ICMR-National Institute of Malaria Research, New Delhi, India.
  • Yadav CP; ICMR-National Institute of Malaria Research, New Delhi, India.
  • Mohan M; All India Institute of Medical Sciences, Raipur, Chhattisgarh, India.
  • Singh V; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.
  • Tomar RS; ICMR-National Institute of Cancer Prevention and Research, Noida, India.
  • Pandey KC; ICMR-National Institute of Malaria Research, New Delhi, India.
  • Vashisht K; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.
Hum Genomics ; 18(1): 7, 2024 Jan 30.
Article em En | MEDLINE | ID: mdl-38291512
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).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Hum Genomics Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Hum Genomics Ano de publicação: 2024 Tipo de documento: Article