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调控解析由尼安德特人引入的严重 COVID-19 风险基因座。

Regulatory dissection of the severe COVID-19 risk locus introgressed by Neanderthals.

机构信息

Department of Human Evolutionary Biology, Harvard University, Cambridge, United States.

Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia.

出版信息

Elife. 2023 Feb 10;12:e71235. doi: 10.7554/eLife.71235.

DOI:10.7554/eLife.71235
PMID:36763080
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9917435/
Abstract

Individuals infected with the virus present with a wide variety of symptoms ranging from asymptomatic to severe and even lethal outcomes. Past research has revealed a genetic haplotype on chromosome 3 that entered the human population via introgression from Neanderthals as the strongest genetic risk factor for the severe response to COVID-19. However, the specific variants along this introgressed haplotype that contribute to this risk and the biological mechanisms that are involved remain unclear. Here, we assess the variants present on the risk haplotype for their likelihood of driving the genetic predisposition to severe COVID-19 outcomes. We do this by first exploring their impact on the regulation of genes involved in COVID-19 infection using a variety of population genetics and functional genomics tools. We then perform a locus-specific massively parallel reporter assay to individually assess the regulatory potential of each allele on the haplotype in a multipotent immune-related cell line. We ultimately reduce the set of over 600 linked genetic variants to identify four introgressed alleles that are strong functional candidates for driving the association between this locus and severe COVID-19. Using reporter assays in the presence/absence of , we find evidence that these variants respond to viral infection. These variants likely drive the locus' impact on severity by modulating the regulation of two critical chemokine receptor genes: and . These alleles are ideal targets for future functional investigations into the interaction between host genomics and COVID-19 outcomes.

摘要

个体感染 病毒后会出现各种症状,从无症状到严重甚至致命。过去的研究表明,3 号染色体上存在一种遗传单倍型,它通过从尼安德特人中的基因渗入进入人类种群,是对 COVID-19 产生严重反应的最强遗传风险因素。然而,导致这种风险的这条渗入单倍型上的具体变异以及涉及的生物学机制尚不清楚。在这里,我们评估风险单倍型上的变异,以确定它们是否有可能导致严重 COVID-19 结局的遗传倾向。我们通过使用各种群体遗传学和功能基因组学工具首先探索它们对 COVID-19 感染相关基因调控的影响来实现这一点。然后,我们进行了特定基因座的大规模平行报告基因检测,以在多能免疫相关细胞系中单独评估单倍型上每个等位基因的调节潜力。我们最终将超过 600 个连锁遗传变异减少到确定四个导入等位基因,这些等位基因是驱动该基因座与严重 COVID-19 之间关联的强有力的功能候选基因。使用存在/不存在 的报告基因检测,我们发现这些变体对病毒感染有反应的证据。这些变体可能通过调节两个关键趋化因子受体基因( 和 )的调节来驱动该基因座对严重程度的影响。这些等位基因是研究宿主基因组学与 COVID-19 结局之间相互作用的未来功能研究的理想目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc77/9917435/fe656f737522/elife-71235-sa2-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc77/9917435/09b30cd1f78d/elife-71235-fig1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc77/9917435/653c4e726754/elife-71235-fig2-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc77/9917435/8a53b567bf51/elife-71235-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc77/9917435/870351cb661c/elife-71235-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc77/9917435/2540a1f9bd45/elife-71235-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc77/9917435/38a71a45ae65/elife-71235-fig5-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc77/9917435/fe656f737522/elife-71235-sa2-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc77/9917435/09b30cd1f78d/elife-71235-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc77/9917435/854a161cdb6f/elife-71235-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc77/9917435/069e98dc5f90/elife-71235-fig2-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc77/9917435/653c4e726754/elife-71235-fig2-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc77/9917435/8a53b567bf51/elife-71235-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc77/9917435/870351cb661c/elife-71235-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc77/9917435/2540a1f9bd45/elife-71235-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc77/9917435/38a71a45ae65/elife-71235-fig5-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc77/9917435/fe656f737522/elife-71235-sa2-fig1.jpg

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