In Silico analysis unveils rs2109069 of DPP9 as a potential catalyst for COVID-19 severity and risk of inflammatory symptoms

Chi-Ying Lee, Zih-Yin Lai, Yung-Jen Chuang

Open source

DOI
10.1016/j.yexmp.2024.104946
Published
2024-12
Container
Experimental and Molecular Pathology
Publisher
Elsevier BV
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.yexmp.2024.104946,
  title = {In Silico analysis unveils rs2109069 of DPP9 as a potential catalyst for COVID-19 severity and risk of inflammatory symptoms},
  author = {Chi-Ying Lee and Zih-Yin Lai and Yung-Jen Chuang},
  year = {2024},
  journal = {Experimental and Molecular Pathology},
  doi = {10.1016/j.yexmp.2024.104946},
  url = {https://doi.org/10.1016/j.yexmp.2024.104946}
}

RIS

TY  - JOUR
TI  - In Silico analysis unveils rs2109069 of DPP9 as a potential catalyst for COVID-19 severity and risk of inflammatory symptoms
AU  - Chi-Ying Lee
AU  - Zih-Yin Lai
AU  - Yung-Jen Chuang
PY  - 2024
JO  - Experimental and Molecular Pathology
DO  - 10.1016/j.yexmp.2024.104946
UR  - https://doi.org/10.1016/j.yexmp.2024.104946
ER  - 

APA

Lee, C., Lai, Z., & Chuang, Y. (2024). In Silico analysis unveils rs2109069 of DPP9 as a potential catalyst for COVID-19 severity and risk of inflammatory symptoms. Experimental and Molecular Pathology. https://doi.org/10.1016/j.yexmp.2024.104946

Source records