4.6 Article

How Genetics Might Explain the Unusual Link Between Malaria and COVID-19

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FRONTIERS IN MEDICINE
卷 8, 期 -, 页码 -

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FRONTIERS MEDIA SA
DOI: 10.3389/fmed.2021.650231

关键词

malaria; COVID-19; genomics; whole-genome sequencing analysis; epidemiology

资金

  1. Italian Institute of Technology and Department of Medical Sciences (Excellence Grant 2018-2022 - Italian Ministry of Education) of the University of Turin

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This study explores the possible inverse relationships between malaria and COVID-19, finding genetic variants that may play a role in both diseases. By analyzing public genome sequencing data, they identify meaningful variants in 6 genes that could provide insights for potential therapeutic options against COVID-19.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-associated coronavirus disease 2019 (COVID-19) pandemic has been the subject of a large number of studies in recent times. Here, starting from the evidence that in Italy, the areas with the lowest number of COVID-19 cases were those with the highest incidence of malaria in the early 1900's, we explore possible inverse relationships between malaria and COVID-19. Indeed, some genetic variants, which have been demonstrated to give an advantage against malaria, can also play a role in the incidence and severity of SARS-CoV-2 infections (e.g., the ACE2 receptor). To verify this scientific hypothesis, we here use public data from whole-genome sequencing (WGS) experiments to extrapolate the genetic information of 46 world populations with matched COVID-19 data. In particular, we focus on 47 genes, including ACE2 and genes which have previously been reported to play a role in malaria. Only common variants (>5%) in at least 30% of the selected populations were considered, and, for this subset, we correlate the intra-population allele frequency with the COVID-19 data (cases/million inhabitants), eventually pinpointing meaningful variants in 6 genes. This study allows us to distinguish between positive and negative correlations, i.e., variants whose frequency significantly increases with increasing or decreasing COVID-19 cases. Finally, we discuss the possible molecular mechanisms associated with these variants and advance potential therapeutic options, which may help fight and/or prevent COVID-19.

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