Evidence map›Paper›PMID 38790075›Full record

ArticleHuman genomics2024

Critical insights on "Association of the C allele of rs479200 in the EGLN1 gene with COVID‑19 severity in Indian population: a novel finding".

Nimita Deora, Priya Agrohi, Prashant K Mallick, Abhinav Sinha

Abstract readLetterComment
In one paragraph

Article in Human genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Nimita Deora *Department of Epidemiology, ICMR-National Institute of Malaria Research, New Delhi, 110077, India.
Priya Agrohi *Department of Molecular Biology, ICMR-National Institute of Malaria Research, New Delhi, 110077, India.
Prashant K MallickDepartment of Molecular Biology, ICMR-National Institute of Malaria Research, New Delhi, 110077, India.
Abhinav SinhaDepartment of Epidemiology, ICMR-National Institute of Malaria Research, New Delhi, 110077, India. abhinavsinha@icmr.gov.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent article by Harit et al. in Human Genomics reported a novel association of the C allele of rs479200 in the human EGLN1 gene with severe COVID-19 in Indian patients. The gene in context is an oxygen-sensor gene whose T allele has been reported to contribute to the inability to cope with hypoxia due to increased expression of the EGLN1 gene and therefore persons with TT genotype of EGLN1 rs479200 are more susceptible to severe manifestations of hypoxia. In contrast to this dogma, Harit et al. showed that the C allele is associated with the worsening of COVID-19 hypoxia without suggesting or even discussing the scientific plausibility of the association. The article also suffers from certain epidemiological, statistical, and mathematical issues that need to be critically elaborated and discussed. In this context, the findings of Harit et al. may be re-evaluated.

Indexed as

COVID-19Genetic Predisposition to DiseaseHypoxia-Inducible Factor-Proline DioxygenasesSARS-CoV-2AllelesGenotypeHumansHypoxiaIndiaPolymorphism, Single NucleotideSeverity of Illness IndexEGLN1 protein, humanHypoxia-Inducible Factor-Proline DioxygenasesC-alleleCOVID-19EGLN1Severity

Identifiers

PMID38790075
PMCPMC11127436

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.