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Using multi-tissue transcriptome-wide association study to identify candidate susceptibility genes for respiratory infectious diseases.
Zhu, Xiaobo; Zou, Yixin; Jia, Linna; Ye, Xiangyu; Zou, Yanzheng; Tu, Junlan; Li, Juntong; Yu, Rongbin; Yang, Sheng; Huang, Peng.
Afiliação
  • Zhu X; The People's Hospital of Danyang, Affiliated Danyang Hospital of Nantong University, Zhenjiang, China.
  • Zou Y; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
  • Jia L; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
  • Ye X; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
  • Zou Y; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
  • Tu J; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
  • Li J; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
  • Yu R; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
  • Yang S; Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
  • Huang P; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Front Genet ; 14: 1164274, 2023.
Article em En | MEDLINE | ID: mdl-37020999
ABSTRACT

Objective:

We explore the candidate susceptibility genes for influenza A virus (IAV), measles, rubella, and mumps and their underlying biological mechanisms.

Methods:

We downloaded the genome-wide association study summary data of four virus-specific immunoglobulin G (IgG) level data sets (anti-IAV IgG, anti-measles IgG, anti-rubella IgG, and anti-mumps virus IgG levels) and integrated them with reference models of three potential tissues from the Genotype-Tissue Expression (GTEx) project, namely, whole blood, lung, and transformed fibroblast cells, to identify genes whose expression is predicted to be associated with IAV, measles, mumps, and rubella.

Results:

We identified 19 significant genes (ULK4, AC010132.11, SURF1, NIPAL2, TRAP1, TAF1C, AC000078.5, RP4-639F20.1, RMDN2, ATP1B3, SRSF12, RP11-477D19.2, TFB1M, XXyac-YX65C7_A.2, TAF1C, PCGF2, and BNIP1) associated with IAV at a Bonferroni-corrected threshold of p < 0.05; 14 significant genes (SOAT1, COLGALT2, AC021860.1, HCG11, METTL21B, MRPL10, GSTM4, PAQR6, RP11-617D20.1, SNX8, METTL21B, ANKRD27, CBWD2, and TSFM) associated with measles at a Bonferroni-corrected threshold of p < 0.05; 15 significant genes (MTOR, LAMC1, TRIM38, U91328.21, POLR2J, SCRN2, Smpd4, UBN1, CNTROB, SCRN2, HOXB-AS1, SLC14A1, AC007566.10, AC093668.2, and CPD) associated with mumps at a Bonferroni-corrected threshold of p < 0.05; and 13 significant genes (JAGN1, RRP12, RP11-452K12.7, CASP7, AP3S2, IL17RC, FAM86HP, AMACR, RRP12, PPP2R1B, C11orf1, DLAT, and TMEM117) associated with rubella at a Bonferroni-corrected threshold of p < 0.05.

Conclusions:

We have identified several candidate genes for IAV, measles, mumps, and rubella in multiple tissues. Our research may further our understanding of the pathogenesis of infectious respiratory diseases.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article