Evidence map›Paper›PMID 34061414›Full record

ArticleJournal of clinical laboratory analysis2021

COVID-19 spreading across world correlates with C677T allele of the methylenetetrahydrofolate reductase (MTHFR) gene prevalence.

Giovanni Ponti, Lorenza Pastorino, Marco Manfredini, Tomris Ozben, Gabriella Oliva, Shaniko Kaleci, Raffaele Iannella, Aldo Tomasi

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
9.2field-weighted citation impact, top 1% 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

22 citing papers in PubMed, 59 citations in OpenAlex.

  1. Review
  2. Review
  3. MTHFR allele and one-carbon metabolic profile predict severity of COVID-19.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Association between Methylenetetrahydrofolate Reductase (Iranian journal of medical sciences · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
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  13. Observational
  14. Review
  15. Review
  16. Article
  17. SARS-CoV-2 Infection and Candidate Biomarkers.The Eurasian journal of medicine · 2022
    Article
  18. Article
  19. COVID-19 and One-Carbon Metabolism.International journal of molecular sciences · 2022
    Review
  20. Review
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

8 authors at 4 institutions in 2 countries.

Giovanni PontiDivision of Clinical Pathology, Department of Surgical, Medical, Dental and Morphological Sciences with Interest in Transplant, Oncological and Regenerative Medicine, University of Modena and Reggio Emilia, Modena, Italy.ORCID https://orcid.org/0000-0002-1971-7306
Lorenza PastorinoDepartment of Genetics, University of Genoa, Genoa, Italy.
Marco ManfrediniDermatology Unit, Department of Surgical, Medical, Dental and Morphological Sciences with Interest in Transplant, Oncological and Regenerative Medicine, University of Modena and Reggio Emilia, Modena, Italy.ORCID https://orcid.org/0000-0003-3601-655X
Tomris OzbenDepartment of Clinical Biochemistry, Medical Faculty, Akdeniz University, Antalya, Turkey.
Gabriella OlivaInternal Medicine, Ospedale del Mare, Asl Napoli1, Naples, Italy.
Shaniko KaleciClinical and experimental medicine (CEM), Department of Surgical, Medical, Dental and Morphological Sciences with Interest in Transplant, Oncological and Regenerative Medicine, University of Modena and Reggio Emilia, Modena, Italy.
Raffaele IannellaDivision of Clinical Pathology, Department of Surgical, Medical, Dental and Morphological Sciences with Interest in Transplant, Oncological and Regenerative Medicine, University of Modena and Reggio Emilia, Modena, Italy.
Aldo TomasiDivision of Clinical Pathology, Department of Surgical, Medical, Dental and Morphological Sciences with Interest in Transplant, Oncological and Regenerative Medicine, University of Modena and Reggio Emilia, Modena, Italy.
University of Modena and Reggio Emilia · ITAkdeniz University · TROspedale D. Cotugno · ITUniversity of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHomocysteine assessment has been proposed as a potential predictive biomarker for the severity of COVID-19 infection. The purpose of this review was to analyze the correlation between the prevalence of MTHFR C677 T gene polymorphism and COVID-19 incidence and mortality worldwide.

methodsData regarding MTHFR C677 T gene mutation were obtained from the interrogation of the Genome Aggregation Database (genomAD), which is publicly available from the web"https://gnomad.broadinstitute.org." COVID-19 cases, including prevalence and mortality, were obtained from"https://www.worldometers.info/coronavirus" 27 August 2020.

resultsThere is a clear trend toward the worldwide prevalence of MTHFR 677 T and COVID-19 incidence and mortality. The prevalence of MTHFR 677 T allele in the Latino population, and the incidence and mortality for COVID-19 was higher for this ethnic group than that reported for most other populations globally. Statistical analysis showed a relatively strong correlation between C677 T and death from coronavirus.

conclusionsGenetic polymorphism of MTHFR C677 T may modulate the incidence and severity of COVID-19 pandemic infection.

Indexed as

AllelesCOVID-19EthnicityGene FrequencyGenetic Predisposition to DiseaseHumansMethylenetetrahydrofolate Reductase (NADPH2)PrevalenceMethylenetetrahydrofolate Reductase (NADPH2)C677 T mutation prevalenceCOVID-19 vulnerabilityHomocysteineMTHFR gene

Identifiers

PMID34061414
PMCPMC8209953
OpenAlexW3164067306

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.