Rao, V and Chandra, N (2022) In-silico study of influence of HLA heterogeneity on CTL responses across ethnicities to SARS-CoV-2. In: Human Immunology .
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Abstract
Differences in outcome to COVID-19 infection in different individuals is largely attributed to genetic heterogeneity leading to differential immune responses across individuals and populations. HLA is one such genetic factor that varies across individuals leading to differences in how T-cell responses are triggered against SARS-CoV-2, directly influencing disease susceptibility. HLA alleles that influence COVID-19 outcome, by virtue of epitope binding and presentation, have been identified in cohorts worldwide. However, the heterogeneity in HLA distribution across ethnic groups limits the generality of such association. In this study, we address this limitation by comparing the recognition of CTL epitopes across HLA genotypes and ethnic groups. Using HLA allele frequency data for ethnic groups from Allele Frequency Net Database (AFND), we construct synthetic populations for each ethnic group and show that CTL epitope strength varies across HLA genotypes and populations. We also observe that HLA genotypes, in certain cases, can have high CTL epitope strengths in the absence of top-responsive HLA alleles. Finally, we show that the theoretical estimate of responsiveness and hence protection offered by a HLA allele is bound to vary across ethnic groups, due to the influence of other HLA alleles within the HLA genotype on CTL epitope recognition. This emphasizes the need for studying HLA-disease associations at the genotype level rather than at a single allele level.
| Item Type: | Journal Article |
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| Publication: | Human Immunology |
| Publisher: | Elsevier Inc. |
| Additional Information: | The copyright for this article belongs to the Authors. |
| Keywords: | COVID-19; CTL epitopes; Ethnic group; HLA; Population |
| Department/Centre: | Division of Biological Sciences > Biochemistry Division of Interdisciplinary Sciences > Centre for Biosystems Science and Engineering |
| Date Deposited: | 02 Nov 2022 05:26 |
| Last Modified: | 02 Nov 2022 05:26 |
| URI: | https://eprints.iisc.ac.in/id/eprint/77789 |
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