Population difference in allele frequency of hla-c*05 and its correlation with covid-19 mortality

Atsushi Sakuraba, Haider Haider, Toshiro Sato

研究成果: Article査読

37 被引用数 (Scopus)


Background: coronavirus disease 2019 (COVID-19) causes severe illness including cytokine storms, but mortality among countries differs largely. In the present study, we investigated the association between human leukocyte antigen (HLA) class I, which plays a major role in susceptibility to viral infections, and the mortality of COVID-19. Methods: data of allele frequencies of HLA-A,-B and-C and COVID-19 mortality were obtained for 74 countries from the Allele Frequency Net Database and worldometer.info. Association between allele frequency of each HLA and mortality was assessed by linear regression followed by multivariable regression. Subsequently, association of HLA-C*05 to its receptor KIR2DS4fl, expressed on natural killer (NK) cells, and differential mortality to historic pandemics were analyzed. Results: HLA-A*01,-B*07,-B*08,-B*44 and-C*05 were significantly associated with the risk of deaths (adjusted p = 0.040, 0.00081, 0.047, 0.0022, 0.00032, respectively), but only HLA-C*05 remained statistically significant (p = 0.000027) after multivariable regression. A 1% increase in the allele frequency of HLA-C*05 was associated with an increase of 44 deaths/million. Countries with different mortality could be categorized by the distribution of HLA-C*05 and its receptor KIR2DS4fl, which in combination cause NK cell-induced hyperactive immune response. Countries with similar ethnic and/or geographic background responded in a similar pattern to each pandemic. Conclusions: we demonstrated that allele frequency of HLA-C*05 and the distribution pattern with its receptor KIR2DS4fl strongly correlated with COVID-19 mortality. Host genetic variance of innate immunity may contribute to the difference in mortality among various countries and further investigation using patient samples is warranted.

出版ステータスPublished - 2020 11月

ASJC Scopus subject areas

  • 感染症
  • ウイルス学


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