Evidence map›Paper›PMID 36531218›Full record

ArticleFrontiers in genetics2022

Targeted screening of genetic associations with COVID-19 susceptibility and severity.

Ping Li, Yuehua Ke, Wenlong Shen, Shu Shi, Yahao Wang, Kailin Lin, Xinjie Guo, Changjun Wang, Yan Zhang, Zhihu Zhao

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. The physiological effects of APOE genotype in healthy young/middle-aged individuals.Biological reviews of the Cambridge Philosophical Society · 2026
    Article
  2. Association Between Genetic Variants inDiagnostics (Basel, Switzerland) · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Participation of Single-Nucleotide Variants inPathogens (Basel, Switzerland) · 2023
    Review
  8. Article
  9. Review
  10. Genes · 2023
    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

10 authors at 2 institutions in 1 country.

Ping LiBeijing Institute of Biotechnology, Beijing, China.
Yuehua KeCenter for Disease Control and Prevention of PLA, Beijing, China.
Wenlong ShenBeijing Institute of Biotechnology, Beijing, China.
Shu ShiBeijing Institute of Biotechnology, Beijing, China.
Yahao WangBeijing Institute of Biotechnology, Beijing, China.
Kailin LinCollege of Life Science, Henan Normal University, Xinxiang, China.
Xinjie GuoBeijing Institute of Biotechnology, Beijing, China.
Changjun WangCenter for Disease Control and Prevention of PLA, Beijing, China.
Yan ZhangBeijing Institute of Biotechnology, Beijing, China.
Zhihu ZhaoBeijing Institute of Biotechnology, Beijing, China.
Beijing Center for Disease Prevention and Control · CNHenan Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has resulted in great morbidity and mortality worldwide and human genetic factors have been implicated in the susceptibility and severity of COVID-19. However, few replicate researches have been performed, and studies on associated genes mainly focused on genic regions while regulatory regions were a lack of in-depth dissection. Here, based on previously reported associated variants and genes, we designed a capture panel covering 1,238 candidate variants and 25 regulatory regions of 19 candidate genes and targeted-sequenced 96 mild and 145 severe COVID-19 patients. Genetic association analysis was conducted between mild and severe COVID-19 patients, between all COVID-19 patients and general population, or between severe COVID-19 patients and general population. A total of 49 variants were confirmed to be associated with susceptibility or severity of COVID-19 (

Indexed as

COVID-19enhancergenetic variantSARS-CoV-2SNPsuscepibilitytargeted capture sequencing

Identifiers

PMID36531218
PMCPMC9747945
OpenAlexW4310984244

What OpenQuestion holds

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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.