Evidence map›Paper›PMID 35694544›Full record

ArticleFrontiers in cellular and infection microbiology2022

Rare Variants in Inborn Errors of Immunity Genes Associated With Covid-19 Severity.

Panhong Liu, Mingyan Fang, Yuxue Luo, Fang Zheng, Yan Jin, Fanjun Cheng, Huanhuan Zhu, Xin Jin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. TLRs: Innate Immune Sentries against SARS-CoV-2 Infection.International journal of molecular sciences · 2023
    Review
  5. Article
  6. 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

8 authors at 5 institutions in 2 countries.

Panhong LiuCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
Mingyan FangBeijing Genomeics Institute At Shenzhen, BGI-Shenzhen, Shenzhen, China.
Yuxue LuoBeijing Genomeics Institute At Shenzhen, BGI-Shenzhen, Shenzhen, China.
Fang ZhengDepartment of Pediatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yan JinDepartment of Pediatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Fanjun ChengDepartment of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Huanhuan ZhuBeijing Genomeics Institute At Shenzhen, BGI-Shenzhen, Shenzhen, China.
Xin JinBeijing Genomeics Institute At Shenzhen, BGI-Shenzhen, Shenzhen, China.
BGI Group (China) · CNUnion Hospital · CNHuazhong University of Science and Technology · CNSouth China University of Technology · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Host genetic factors have been shown to play an important role in SARS-CoV-2 infection and the course of Covid-19 disease. The genetic contributions of common variants influencing Covid-19 susceptibility and severity have been extensively studied in diverse populations. However, the studies of rare genetic defects arising from inborn errors of immunity (IEI) are relatively few, especially in the Chinese population. To fill this gap, we used a deeply sequenced dataset of nearly 500 patients, all of Chinese descent, to investigate putative functional rare variants. Specifically, we annotated rare variants in our call set and selected likely deleterious missense (LDM) and high-confidence predicted loss-of-function (HC-pLoF) variants. Further, we analyzed LDM and HC-pLoF variants between

Indexed as

COVID-19AllelesAsian PeopleGenetic Predisposition to DiseaseHumansSARS-CoV-2Covid-19gene-level testsinborn errors of immunitypathway-based analysisPPI network analysis

Identifiers

PMID35694544
PMCPMC9184678
OpenAlexW4281967761

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.