Evidence map›Paper›PMID 36685827›Full record

ArticleFrontiers in genetics2022

Genetic screening for hypertension and COVID-19 reveals functional variation of

Yu-Si Luo, Xiang-Chun Shen, Wei Li, Guo-Feng Wu, Xiao-Meng Yang, Ming-Yang Guo, Fang Chen, Hu-Yan Shen, Ping-Ping Zhang, Han Gao and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
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

15 authors at 3 institutions in 2 countries.

Yu-Si LuoDepartment of Emergency, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Xiang-Chun ShenThe High Efficacy Application of Natural Medicinal Resources Engineering Center of Guizhou Province, School of Pharmaceutical Sciences, Guizhou Medical University, Guiyang, China.
Wei LiDepartment of Cardiovascular, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Guo-Feng WuDepartment of Emergency, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Xiao-Meng YangThe Key and Characteristic Laboratory of Modern Pathogenicity Biology, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.
Ming-Yang GuoThe Key and Characteristic Laboratory of Modern Pathogenicity Biology, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.
Fang ChenThe Key and Characteristic Laboratory of Modern Pathogenicity Biology, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.
Hu-Yan ShenThe Key and Characteristic Laboratory of Modern Pathogenicity Biology, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.
Ping-Ping ZhangThe Key and Characteristic Laboratory of Modern Pathogenicity Biology, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.
Han GaoDepartment of Emergency, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Ying NieThe Key and Characteristic Laboratory of Modern Pathogenicity Biology, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.
Jia-Hong WuThe Key and Characteristic Laboratory of Modern Pathogenicity Biology, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.
Rong MouThe Key and Characteristic Laboratory of Modern Pathogenicity Biology, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.
Ke ZhangThe Key and Characteristic Laboratory of Modern Pathogenicity Biology, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.
Zhong-Shan ChengCenter for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, TN, United States.
Guiyang Medical University · CNAffiliated Hospital of Guizhou Medical University · CNSt. Jude Children's Research Hospital · US

Funding

Medical Research Council MC_PC_17228
6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to more than 6.4 million deaths worldwide. The prevalent comorbidity between hypertension and severe COVID-19 suggests common genetic factors may affect the outcome of both diseases. As both hypertension and severe COVID-19 demonstrate sex-biased prevalence, common genetic factors between the two diseases may display sex-biased differential associations. By evaluating COVID-19 association signals of 172-candidate hypertension single nucleotide polymorphisms (SNPs) derived from more than 1 million European individuals in two sex-stratified severe COVID-19 genome-wide association studies from UK BioBank with European ancestry, we revealed one functional cis expression quantitative trait locus of

Indexed as

cardiomyocyteGWAShypertensionsevere COVID-19SPEGwomen

Identifiers

PMID36685827
PMCPMC9846087
OpenAlexW4313585350

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.