Exploring COVID-19 causal genes through disease-specific Cis-eQTLs.

Authors:
Zhang S; Wang P; Shi L; Wang C; Zhu Z and 6 more

Journal:
Virus Res

Publication Year: 2024

DOI:
10.1016/j.virusres.2024.199341

PMCID:
PMC10904281

PMID:
38403000

Journal Information

Journal Title: Virus Res

Detailed journal information not available.

Publication Details

Subject Category: Virology

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
5/6
83.3% Transparent
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Evidence found in paper:

"rna-seq scrna-seq and gwas data were downloaded from public databases cis-eqtls results identified from bulk rna-seq data are deposited in github ( https://github com/liangcheng-hrbmu/covid19-bulk-eqtl )."

Evidence found in paper:

"rna-seq scrna-seq and gwas data were downloaded from public databases cis-eqtls results identified from bulk rna-seq data are deposited in github ( https://github com/liangcheng-hrbmu/covid19-bulk-eqtl ). supplementary tables1 to 22 could be downloaded from this link: https://github com/liangcheng-hrbmu/covid19-bulk-eqtl/blob/master/supplementary%20tables xls ."

Evidence found in paper:

"Declaration of competing interest The authors declare no competing financial interests."

Evidence found in paper:

"This work was supported by the Tou-Yan Innovation Team Program of Heilongjiang Province (grant number 2019–15 to LC), National Natural Science Foundation of China (Grant Nos. 62222104 and 62172130 to LC), and Heilongjiang Postdoctoral Fund (LBH-Q20030 to LC)."

Protocol Registration
Open Access
Paper is freely available to read
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Last Updated: Aug 05, 2025