The whole blood transcriptional regulation landscape in 465 COVID-19 infected samples from Japan COVID-19 Task Force
Quantitative trait loci
0303 health sciences
Membrane Glycoproteins
Science
Q
Quantitative Trait Loci
COVID-19
Polymorphism, Single Nucleotide
Article
3. Good health
03 medical and health sciences
Japan
Viral infection
Humans
Lectins, C-Type
Gene expression
Receptors, Immunologic
Transcriptomics
Genome-Wide Association Study
DOI:
10.1038/s41467-022-32276-2
Publication Date:
2022-08-22T10:02:55Z
AUTHORS (443)
ABSTRACT
Abstract Coronavirus disease 2019 (COVID-19) is a recently-emerged infectious that has caused millions of deaths, where comprehensive understanding mechanisms still unestablished. In particular, studies gene expression dynamics and regulation landscape in COVID-19 infected individuals are limited. Here, we report on thorough analysis whole blood RNA-seq data from 465 genotyped samples the Japan Task Force, including 359 severe 106 non-severe cases. We discover 1169 putative causal quantitative trait loci (eQTLs) 34 possible colocalizations with biobank fine-mapping results hematopoietic traits Japanese population, 1549 splice QTLs (sQTLs; e.g. two independent sQTLs at TOR1AIP1 ), as well biologically interpretable trans-eQTL examples (e.g., REST STING1 all fine-mapped single variant resolution. perform differential to elucidate 198 genes increased cases enriched for innate immune-related functions. Finally, evaluate limited but non-zero effect phenotype eQTL discovery, highlight presence severity-interaction eQTLs (ieQTLs; e.g., CLEC4C MYBL2 ). Our study provides catalog regulatory variants Japanese, reference transcriptional landscapes response infection.
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