Evidence map›Paper›PMID 39234544›Full record

ArticleFrontiers in microbiology2024

Whole exome sequencing identifies genetic markers of enterovirus susceptibility in East Asians.

Chia-Cheng Sung, G W Gant Luxton, Kuo-Sheng Hung, Yung-Fu Wu, Chih-Chien Wang, Chih-Sin Hsu, Chih-Fen Hu

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Chia-Cheng SungDepartment of Pediatrics, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
G W Gant LuxtonDepartment of Molecular and Cellular Biology, University of California, Davis, Davis, CA, United States.
Kuo-Sheng HungCenter for Precision Medicine and Genomics, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Yung-Fu WuCenter for Precision Medicine and Genomics, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Chih-Chien WangDepartment of Pediatrics, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Chih-Sin HsuGenomics Center for Clinical and Biotechnological Applications, Cancer Progression Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Chih-Fen HuDepartment of Pediatrics, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Following acute enterovirus (EV) infection, outcomes vary based on factors like the immune response, viral cell entry receptor expression levels, tissue tropism, and genetic factors of both the host and virus. While most individuals exhibit mild, self-limited symptoms, others may suffer severe complications or prolonged infections that can lead to autoimmune disorders. Methods: To elucidate host responses to EV infection, we performed whole exome sequencing on blood samples from both infected and uninfected individuals. Our initial focus was on genes encoding EV entry receptors-PSGL-1, SCARB2, and ANAXA2 for EV-A71, and CD155 for poliovirus-and on host genes Results: Although no specific genetic variants directly associated with EV infection were identified, we discovered 118 variants across 116 genes enriched in East Asian populations through multi-layered variant filtering. These variants were further analyzed for their potential impacts on organs, biological processes, and molecular pathways. Phenome-wide association studies were conducted to refine our understanding of their contributions to EV infection susceptibility. Discussion: Our findings aim to develop a predictive panel based on these 118 variants, which could help susceptible individuals during EV outbreaks, guiding targeted clinical interventions and preventative strategies.

Indexed as

East Asian populationenterovirusenterovirus infection with severe complicationsgenetic signaturewhole exome sequencing

Identifiers

PMID39234544
PMCPMC11372244

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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.