Using genetics and proteomics data to identify proteins causally related to COVID-19, healthspan and lifespan: a Mendelian randomization study

Zhao, J. V., Yao, M., & Liu, Z. (2024). Using genetics and proteomics data to identify proteins causally related to COVID-19, healthspan and lifespan: a Mendelian randomization study. Aging. https://doi.org/10.18632/aging.205711
Authors:
Jie V Zhao
Minhao Yao
Zhonghua Liu
Affiliated Authors:
Zhonghua Liu
Columbia Affiliation:
Subjects:
COVID-19 (MeSH)
Mendelian Randomization Analysis (MeSH)
Longevity (MeSH)
Proteomics (MeSH)
SARS-CoV-2 (MeSH)
Author Keywords:
proteomics
healthspan
lifespan
covid-19
elink
Publication Type:
Article
Unique ID:
10.18632/aging.205711
PMID:
38575325
DOI:
10.18632/aging.205711
Journal:
Aging
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
View Web of Science Record

Record Created: