Evidence map›Paper›PMID 33444631›Full record

ArticleMechanisms of ageing and development2021

Association analysis framework of genetic and exposure risks for COVID-19 in middle-aged and elderly adults.

Yuan Zhang, Hongxi Yang, Shu Li, Wei-Dong Li, Ju Wang, Yaogang Wang

Open access · greenAbstract read
In one paragraph

Article in Mechanisms of ageing and development, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. miRNA expression in COVID-19.Gene reports · 2022
    Review
  7. Genome-wide association study of SARS-CoV-2 infection in Chinese population.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022
    Article
  8. Review
  9. Long-term exposure to PMEnvironment international · 2022
    Observational
  10. Article
  11. Review
  12. Good Cholesterol Gone Bad? HDL and COVID-19.International journal of molecular sciences · 2021
    Review
  13. The Role of High-Density Lipoprotein in COVID-19.Frontiers in pharmacology · 2021
    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

6 authors at 1 institution in 1 country.

Yuan ZhangSchool of Public Health, Tianjin Medical University, Tianjin, China.
Hongxi YangSchool of Public Health, Tianjin Medical University, Tianjin, China.
Shu LiSchool of Public Health, Tianjin Medical University, Tianjin, China.
Wei-Dong LiDepartment of Genetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Ju WangSchool of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.
Yaogang WangSchool of Public Health, Tianjin Medical University, Tianjin, China. Electronic address: YaogangWANG@tmu.edu.cn.
Tianjin Medical University · CN

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is a current pandemic, and studies reported that older people have higher rates of infection and more severe cases. Recently, studies have revealed the involvement of both genetic and exposure factors in the susceptibility of COVID-19. However, the correlation between them is still unclear. Thus, we aimed to investigate the correlation between genetic and exposure factors associated with COVID-19. We retrieved the information of 7362 participants with COVID-19 testing results from the UK Biobank. We identified genetic factors for COVID-19 by genome-wide association studies (GWAS) summary analysis. In this study, 21 single-nucleotide polymorphisms (SNPs) and 15 exposure factors [smoking, alcohol intake, daytime dozing, body mass index (BMI), triglyceride, High Density Lipoprotein (HDL), diabetes, chronic kidney disease, chronic liver disease, dementia, atmosphere NO2 concentration, socioeconomic status, education qualification, ethnicity, and income] were found to be potential risk factors of COVID-19. Then, a gene-exposure (G × E) association network was built based on the correlation among and between these genetic factors and exposure factors. rs140092351, a SNP on microRNA miR1202, not only had the most significant association with COVID-19, but also interacted with multiple exposure factors. Dementia, alcohol consumption, daytime dozing, BMI, HDL, and atmosphere NO

Indexed as

PandemicsPolymorphism, Single NucleotideSARS-CoV-2AgedCOVID-19FemaleGenome-Wide Association StudyHumansMaleMiddle AgedRisk FactorsSocioeconomic FactorsUnited KingdomAssociation analysisCOVID-19Exposure risksGenetic risks

Identifiers

PMID33444631
PMCPMC7801182
OpenAlexW3118944647

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.