Evidence map›Paper›PMID 36387492›Full record

ArticleHeliyon2022

Gene variants in pro-coagulant and anti-coagulant genes could be prognostic genetic markers of COVID-19 susceptibility.

Swati Srivastava, Babita Kumari, Iti Garg, Vikas Dogra, Nilanjana Ghosh, Yamini Singh, Mona Bargotya, Sonali Bhattar, Utkarsh Gupta, Shruti Jain and 3 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 43% of its field
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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Swati SrivastavaGenomics Division, Defence Institute of Physiology and Allied Science, Lucknow Road, Timarpur, Delhi, 110054, India.
Babita KumariGenomics Division, Defence Institute of Physiology and Allied Science, Lucknow Road, Timarpur, Delhi, 110054, India.
Iti GargGenomics Division, Defence Institute of Physiology and Allied Science, Lucknow Road, Timarpur, Delhi, 110054, India.
Vikas DograPulmonary Medicine, Rajiv Gandhi Super Specialty Hospital (RGSSH), Delhi, India.
Nilanjana GhoshGenomics Division, Defence Institute of Physiology and Allied Science, Lucknow Road, Timarpur, Delhi, 110054, India.
Yamini SinghGenomics Division, Defence Institute of Physiology and Allied Science, Lucknow Road, Timarpur, Delhi, 110054, India.
Mona BargotyaPulmonary Medicine, Rajiv Gandhi Super Specialty Hospital (RGSSH), Delhi, India.
Sonali BhattarPulmonary Medicine, Rajiv Gandhi Super Specialty Hospital (RGSSH), Delhi, India.
Utkarsh GuptaPulmonary Medicine, Rajiv Gandhi Super Specialty Hospital (RGSSH), Delhi, India.
Shruti JainPulmonary Medicine, Rajiv Gandhi Super Specialty Hospital (RGSSH), Delhi, India.
Javid HussainPulmonary Medicine, Rajiv Gandhi Super Specialty Hospital (RGSSH), Delhi, India.
Rajeev VarshneyGenomics Division, Defence Institute of Physiology and Allied Science, Lucknow Road, Timarpur, Delhi, 110054, India.
Lilly GanjuGenomics Division, Defence Institute of Physiology and Allied Science, Lucknow Road, Timarpur, Delhi, 110054, India.
Defence Institute of Physiology and Allied Sciences · INBLK Super Speciality Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Present study aimed to identify DNA polymorphisms (variants) which can modulate the risk of COVID-19 infection progression to severe condition. TaqMan based SNP genotyping assay was performed for 11 single nucleotide polymorphisms (SNPs) in pro-coagulant and anti-coagulant genes. Methodology: A total of 33 COVID-19 patients, including dead, severe and moderately infected individuals were compared to 35 healthy controls. Both alleles in the SNP were labelled with two different fluorescent dyes (FAM and VIC) during assay formulation. DNA of study subjects were mixed with SNP assay and TaqMan master mix on 96 well PCR plate according to manufacturer's protocol and RT-PCR was performed. Allelic discrimination assay gave clear results for presence of specific allele in each sample. Three SNPs were located in the pro-coagulant genes, another three involved in blood clot dissolution while rest five were in the genes encoding natural anti-coagulants. COVID-19 infected patients were further sub-divided into three groups, deceased (n = 16), severe (n = 10) and moderately infected (n = 7). Results: SNP genotyping showed significant differences between COVID-19 patients and controls in two SNPs, rs6133 in Selectin-P (SELP) and rs5361 in Selectin-E (SELE) gene. Also, rs2020921 and rs8176592, in clot dissolution genes, tissue Plasminogen activator (tPA) and tissue factor pathway inhibitor (TFPI) respectively showed significant genotypic and allelic difference in patients of COVID-19 compared to healthy controls. Further three SNPs rs2227589, rs757583846, and rs121918476 in natural anti-coagulant genes anti-thrombin III (ATIII), protein C (PROC), and protein S (PROS) respectively showed statistically significant difference between the study groups. Conclusion: Our findings indicate that gene variants, those involved in coagulation and anti-coagulation may play a major role in determining individual susceptibility to COVID-19.

Indexed as

Anti-coagulantsCOVID-19GenotypingSNP

Identifiers

PMID36387492
PMCPMC9650686
OpenAlexW4309368780

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.