Evidence map›Paper›PMID 32628976›Full record

ArticleGene2020

SARS-CoV-2 infections and COVID-19 mortalities strongly correlate with ACE1 I/D genotype.

Naoki Yamamoto, Yasuo Ariumi, Nao Nishida, Rain Yamamoto, Georg Bauer, Takashi Gojobori, Kunitada Shimotohno, Masashi Mizokami

Open access · greenAbstract read
In one paragraph

Article in Gene, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 9 pooled it
3.2field-weighted citation impact, top 5% 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

96 citing papers in PubMed, 9 syntheses or guidelines pooled it, 146 citations in OpenAlex.

  1. Pooled it
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  7. Frontiers in genetics · 2022
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  10. Review
  11. Article
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  15. Article
  16. Are COVID-19 Polymorphisms in ACE and ACE2 Prognosis Predictors?Current issues in molecular biology · 2024
    Article
  17. Review
  18. Review
  19. Prognostic Value ofBalkan journal of medical genetics : BJMG · 2023
    Article
  20. Review

36 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 3 countries.

Naoki YamamotoGenome Medical Sciences Project, National Center for Global Health and Medicine, Ichikawa, Japan. Electronic address: lb-20yamamoto@hospk.ncgm.go.jp.
Yasuo AriumiDivision of Retroelement, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.
Nao NishidaGenome Medical Sciences Project, National Center for Global Health and Medicine, Ichikawa, Japan.
Rain YamamotoDepartment of Drug Development and Regulatory Science, Faculty of Pharmacy, Keio University, Tokyo, Japan.
Georg BauerInstitute of Virology, Medical Center - University of Freiburg, Hermann-Herder Str. 11, D-79104 Freiburg, Germany.
Takashi GojoboriComputational Bioscience Research Center, Biological and Environmental Sciences and Engineering, King Abdullah University of Science and Technology, 4700 KAUST, Thuwal 23955-6900, Saudi Arabia.
Kunitada ShimotohnoGenome Medical Sciences Project, National Center for Global Health and Medicine, Ichikawa, Japan. Electronic address: lbshimotohono@hospk.ncgm.go.jp.
Masashi MizokamiGenome Medical Sciences Project, National Center for Global Health and Medicine, Ichikawa, Japan. Electronic address: mmizokami@hospk.ncgm.go.jp.
National Center for Global Health and Medicine · JPKeio University · JPKing Abdullah University of Science and Technology · SAKumamoto University · JPUniversity of Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19). The relentless spread and pathogenicity of the virus have become a global public health emergency. One of the striking features of this pandemic is the pronounced impact on specific regions and ethnic groups. In particular, compared with East Asia, where the virus first emerged, SARS-CoV-2 has caused high rates of morbidity and mortality in Europe. This has not been experienced in past global viral infections, such as influenza, severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) and is unique to SARS-CoV-2. For this reason, we investigated the involvement of genetic factors associated with SARS-CoV-2 infection with a focus on angiotensin-converting enzyme (ACE)-related genes, because ACE2 is a receptor for SARS-CoV-2. We found that the ACE1 II genotype frequency in a population was significantly negatively correlated with the number of SARS-CoV-2 cases. Similarly, the ACE1 II genotype was negatively correlated with the number of deaths due to SARS-CoV-2 infection. These data suggest that the ACE1 II genotype may influence the prevalence and clinical outcome of COVID-19 and serve as a predictive marker for COVID-19 risk and severity.

Indexed as

Angiotensin-Converting Enzyme 2AsiaBetacoronavirusCoronavirus InfectionsCOVID-19EuropeGene FrequencyGenotypeHumansPandemicsPeptidyl-Dipeptidase APneumonia, ViralPolymorphism, Single NucleotideRiskRisk FactorsSARS-CoV-2ACE2 protein, humanACE protein, humanAngiotensin-Converting Enzyme 2Peptidyl-Dipeptidase AACE1 I/D polymorphismACE1 II genotypeCOVID-19EthnicityMortalityPrevalenceSARS-CoV-2

Identifiers

PMID32628976
PMCPMC7833925
OpenAlexW3038462367

What OpenQuestion holds

Textmetadata
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.