Evidence map›Paper›PMID 35022007›Full record

SynthesisBMC infectious diseases2022

A systematic review on papers that study on Single Nucleotide Polymorphism that affects coronavirus 2019 severity.

Siyeon Suh, Sol Lee, Ho Gym, Sanghyuk Yoon, Seunghwan Park, Jihi Cha, Do-Hyung Kwon, YunSu Yang, Sun Ha Jee

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  7. Article
  8. Experimental and therapeutic medicine · 2023
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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

9 authors at 1 institution in 1 country.

Siyeon SuhBASGENBIO Inc. LTD, Seoul, South Korea.
Sol LeeBASGENBIO Inc. LTD, Seoul, South Korea.
Ho GymBASGENBIO Inc. LTD, Seoul, South Korea.
Sanghyuk YoonBASGENBIO Inc. LTD, Seoul, South Korea.
Seunghwan ParkBASGENBIO Inc. LTD, Seoul, South Korea.
Jihi ChaBASGENBIO Inc. LTD, Seoul, South Korea.
Do-Hyung KwonBASGENBIO Inc. LTD, Seoul, South Korea.
YunSu YangBASGENBIO Inc. LTD, Seoul, South Korea.
Sun Ha JeeDepartment of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea. jsunha@yuhs.ac.
University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19, caused by SARS-CoV-2 has become the most threatening issue to all populations around the world. It is, directly and indirectly, affecting all of us and thus, is an emerging topic dealt in global health. To avoid the infection, various studies have been done and are still ongoing. COVID-19 cases are reported all over the globe, and among the millions of cases, genetic similarity may be seen. The genetical common features seen within confirmed cases may help outline the tendency of infection and degree severity of the disease. Here, we reviewed multiple papers on SNPs related to SARS-CoV-2 infection and analyzed their results.

methodsThe PubMed databases were searched for papers discussing SNPs associated with SARS-CoV-2 infection and severity. Clinical studies with human patients and statistically showing the relevance of the SNP with virus infection were included. Quality Assessment of all papers was done with Newcastle Ottawa Scale.

resultsIn the analysis, 21 full-text literature out of 2956 screened titles and abstracts, including 63,496 cases, were included. All were human-based clinical studies, some based on certain regions gathered patient data and some based on big databases obtained online. ACE2, TMPRSS2, and IFITM3 are the genes mentioned most frequently that are related to SARS-CoV-2 infection. 20 out of 21 studies mentioned one or more of those genes. The relevant genes according to SNPs were also analyzed. rs12252-C, rs143936283, rs2285666, rs41303171, and rs35803318 are the SNPs that were mentioned at least twice in two different studies.

conclusionsWe found that ACE2, TMPRSS2, and IFITM3 are the major genes that are involved in SARS-CoV-2 infection. The mentioned SNPs were all related to one or more of the above-mentioned genes. There were discussions on certain SNPs that increased the infection and severity to certain groups more than the others. However, as there is limited follow-up and data due to a shortage of time history of the disease, studies may be limited.

Indexed as

COVID-19Population HealthAngiotensin-Converting Enzyme 2HumansMembrane ProteinsPolymorphism, Single NucleotideRNA-Binding ProteinsSARS-CoV-2Serine EndopeptidasesAngiotensin-Converting Enzyme 2IFITM3 protein, humanMembrane ProteinsRNA-Binding ProteinsSerine EndopeptidasesTMPRSS2 protein, human

Identifiers

PMID35022007
PMCPMC8753023
OpenAlexW4205303745

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.