Exploring COVID-19 causal genes through disease-specific Cis-eQTLs
Copyright © 2024. Published by Elsevier B.V..
Genome-wide association study (GWAS) analysis has exposed that genetic factors play important roles in COVID-19. Whereas a deeper understanding of the underlying mechanism of COVID-19 was hindered by the lack of expression of quantitative trait loci (eQTL) data specific for disease. To this end, we identified COVID-19-specific cis-eQTLs by integrating nucleotide sequence variations and RNA-Seq data from COVID-19 samples. These identified eQTLs have different regulatory effect on genes between patients and controls, indicating that SARS-CoV-2 infection may cause alterations in the human body's internal environment. Individuals with the TT genotype in the rs1128320 region seemed more susceptible to SARS-CoV-2 infection and developed into severe COVID-19 due to the abnormal expression of IFITM1. We subsequently discovered potential causal genes, of the result, a total of 48 genes from six tissues were identified. siRNA-mediated depletion assays in SARS-CoV-2 infection proved that 14 causal genes were directly associated with SARS-CoV-2 infection. These results enriched existing research on COVID-19 causal genes and provided a new sight in the mechanism exploration for COVID-19.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:342 |
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| Enthalten in: |
Virus research - 342(2024) vom: 01. März, Seite 199341 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Zhang, Sainan [VerfasserIn] |
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| Links: |
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| Themen: |
COVID-19 |
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| Anmerkungen: |
Date Completed 04.03.2024 Date Revised 04.03.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.virusres.2024.199341 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a Copyright © 2024. Published by Elsevier B.V. | ||
| 520 | |a Genome-wide association study (GWAS) analysis has exposed that genetic factors play important roles in COVID-19. Whereas a deeper understanding of the underlying mechanism of COVID-19 was hindered by the lack of expression of quantitative trait loci (eQTL) data specific for disease. To this end, we identified COVID-19-specific cis-eQTLs by integrating nucleotide sequence variations and RNA-Seq data from COVID-19 samples. These identified eQTLs have different regulatory effect on genes between patients and controls, indicating that SARS-CoV-2 infection may cause alterations in the human body's internal environment. Individuals with the TT genotype in the rs1128320 region seemed more susceptible to SARS-CoV-2 infection and developed into severe COVID-19 due to the abnormal expression of IFITM1. We subsequently discovered potential causal genes, of the result, a total of 48 genes from six tissues were identified. siRNA-mediated depletion assays in SARS-CoV-2 infection proved that 14 causal genes were directly associated with SARS-CoV-2 infection. These results enriched existing research on COVID-19 causal genes and provided a new sight in the mechanism exploration for COVID-19 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a Expression quantitative trait loci | |
| 650 | 4 | |a Summary data-based mendelian randomization | |
| 650 | 4 | |a siRNA transfection | |
| 650 | 7 | |a RNA, Small Interfering |2 NLM | |
| 700 | 1 | |a Wang, Ping |e verfasserin |4 aut | |
| 700 | 1 | |a Shi, Lei |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Chao |e verfasserin |4 aut | |
| 700 | 1 | |a Zhu, Zijun |e verfasserin |4 aut | |
| 700 | 1 | |a Qi, Changlu |e verfasserin |4 aut | |
| 700 | 1 | |a Xie, Yubin |e verfasserin |4 aut | |
| 700 | 1 | |a Yuan, Shuofeng |e verfasserin |4 aut | |
| 700 | 1 | |a Cheng, Liang |e verfasserin |4 aut | |
| 700 | 1 | |a Yin, Xin |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Xue |e verfasserin |4 aut | |
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