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Cited by 561

The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.

Human Leukocyte Antigen Susceptibility Map for Severe Acute Respiratory Syndrome Coronavirus 2

Open access
Nguyen, Austin, David, Julianne K., Maden, Sean K., Wood, Mary A., Weeder, Benjamin R., Nellore, Abhinav, Thompson, Reid F.·2020·Journal of Virology

Abstract

Individual genetic variation may help to explain different immune responses to a virus across a population. In particular, understanding how variation in HLA may affect the course of COVID-19 could help identify individuals at higher risk from the disease. HLA typing can be fast and inexpensive. Pairing HLA typing with COVID-19 testing where feasible could improve assessment of severity of viral disease in the population. Following the development of a vaccine against SARS-CoV-2, the virus that causes COVID-19, individuals with high-risk HLA types could be prioritized for vaccination.

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Registry

Crossref · 10.1128/jvi.00510-20

Cites

85 of 85 references verified0 citation errors · 0 not checkable

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Metadata

Authors
Nguyen, A., David, J. K., Maden, S. K., Wood, M. A., Weeder, B. R., Nellore, A., & Thompson, R. F.
Venue
Journal of Virology
Published
2020-06-16
Volume
94
Issue
13
ISSN
  • 0022-538X (ISSN-L)
  • 1098-5514
OpenAlex
W3017304088
Cited by
561
References
85
FWCI
14.70
Type
journal article
Language
en
Open access
hybrid

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This page
CoChat. (2026). Citation check: Human Leukocyte Antigen Susceptibility Map for Severe Acute Respiratory Syndrome Coronavirus 2. https://app.cochat.ai/papers/10.1128/jvi.00510-20
The paper
Nguyen, A., David, J. K., Maden, S. K., Wood, M. A., Weeder, B. R., Nellore, A., & Thompson, R. F. (2020). Human Leukocyte Antigen Susceptibility Map for Severe Acute Respiratory Syndrome Coronavirus 2. Journal of Virology. https://doi.org/10.1128/jvi.00510-20

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.