Evidence map›Paper›PMID 36574143›Full record

ArticleGenes & genomics2023

Targeted capture enrichment and sequencing identifies HLA variants associated with the severity of COVID-19.

Chuanmiao Liu, Li Zhang, Jiasheng Chen, Yu Gao

Open access · bronzeAbstract read
In one paragraph

Article in Genes & genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Chuanmiao LiuDepartment of Infectious Disease, The First Affiliated Hospital of Bengbu Medical College, Bengbu Medical College, Bengbu, China.
Li ZhangDepartment of Infectious Disease, The First Affiliated Hospital of Bengbu Medical College, Bengbu Medical College, Bengbu, China.
Jiasheng ChenDepartment of Infectious Disease, The First Affiliated Hospital of Bengbu Medical College, Bengbu Medical College, Bengbu, China.
Yu GaoSchool of Life Science, Bengbu Medical College, Bengbu, China. gaoyu@bbmc.edu.cn.ORCID 0000-0002-4210-7338
Bengbu Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) is currently a global pandemic. The pathogenesis of severe COVID-19 has been widely investigated, but it is still unclear. Human leukocyte antigen (HLA) plays a central role in immune response, and its variants might be related to COVID-19 progression and severity.

objectiveTo investigate the hypothesis that individual HLA variations could alter the course of COVID-19 and might be associated with the severity of COVID-19.

methodsIn this study, we conducted an HLA targeted capture enrichment and sequencing of severe COVID-19 patients matched to mild cases. A total of 16 COVID-19 patients, confirmed by SARS-CoV-2 viral RNA polymerase-chain-reaction (PCR) test and chest computed tomography (CT) scan, were enrolled in this study. The HLA targeted capture enrichment and sequencing were conducted. HLA typing was performed by comparing contigs with IPD-IMGT/HLA Database.

resultsIn this study, 139 four-digit resolution HLA alleles were acquired. The results showed that HLA-DRB3*01:01 allele was significantly associated with the severity of COVID-19 (odds ratio [OR] = 27.64, 95% confidence interval [CI] = 1.35-560.50, P = 0.0064). And HLA-K*01:01 might be a potential risk factor for COVID-19 severity (OR = 0.11, 95% CI = 0.017-0.66, P = 0.019), but HLA-K*01:02 might be a protective factor (OR = 7.50, 95% CI = 1.48-37.92, P = 0.019).

conclusionThree non-classical HLA alleles, including HLA-DRB3*01:01, HLA-K*01:01, HLA-K*01:02 were identified to be associated with the severity of COVID-19 by comparing mild and severe patients. The current findings would be helpful for exploring the influence of HLA gene polymorphisms on the development and severity of COVID-19.

Indexed as

COVID-19Histocompatibility Antigens Class IHLA AntigensHLA-DRB3 ChainsHumansSARS-CoV-2Histocompatibility Antigens Class IHLA AntigensHLA-DRB3 ChainsAllele frequencyCoronavirus disease 2019 (COVID-19)Disease associationHLA-DRB3HLA-KHuman leukocyte antigen (HLA)

Identifiers

PMID36574143
PMCPMC9793816
OpenAlexW4313255964

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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.