Evidence map›Paper›PMID 35854470›Full record

ArticleJournal of medical virology2022

Association between COVID-19 and telomere length: A bidirectional Mendelian randomization study.

Danqi Huang, Siqi Lin, Junting He, Qi Wang, Yiqiang Zhan

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 3 pooled it
15.6field-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

72 citing papers in PubMed, 3 syntheses or guidelines pooled it, 110 citations in OpenAlex.

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

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

5 authors at 2 institutions in 1 country.

Danqi HuangDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Siqi LinDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Junting HeDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Qi WangDepartment of Epidemiology and Health Statistics, School of Public Health, Tongji Medical School, Huazhong University of Science and Technology, Wuhan, China.
Yiqiang ZhanDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.ORCID 0000-0001-5815-9725
Sun Yat-sen University · CNHuazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several traditional observational studies suggested an association between COVID-19 and leukocyte telomere length (LTL), a biomarker for biological age. However, whether there was a causal association between them remained unclear. We aimed to investigate whether genetically predicted COVID-19 is related to the risk of LTL, and vice versa. We performed bidirectional Mendelian randomization (MR) study using summary statistics from the genome-wide association studies of critically ill COVID-19 (n = 1 388 342) and LTL (n = 472 174) of European ancestry. The random-effects inverse-variance weighted estimation method was applied as the primary method with several other estimators as complementary methods. Using six single-nucleotide polymorphisms (SNPs) of genome-wide significance as instrumental variables for critically ill COVID-19, we did not find a significant association of COVID-19 on LTL (β = 0.0075, 95% confidence interval [CI]: -0.018 to 0.021, p = 0.733). Likewise, using 97 SNPs of genome-wide significance as instrumental variables for LTL, we did not find a significant association of LTL on COVID-19 (odds ratio = 1.00, 95% CI: 0.79-1.28, p = 0.973). Comparable results were obtained using MR-Egger regression, weighted median, and weighted mode approaches. We did not find evidence to support a causal association between COVID-19 and LTL in either direction.

Indexed as

COVID-19Genome-Wide Association StudyCritical IllnessHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideTelomerebidirectional two-sample Mendelian randomizationCOVID-19telomere length.

Identifiers

PMID35854470
PMCPMC9349767
OpenAlexW4286213159

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.