Using genetics and proteomics data to identify proteins causally related to COVID-19, healthspan and lifespan: a Mendelian randomization study-Reference-Cited by-同舟云学术

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

Published:2024-04-03 Issue: Volume: Page:
ISSN:1945-4589
Container-title:Aging
language:en
Short-container-title:Aging

Author:

Zhao Jie V.¹²,Yao Minhao³,Liu Zhonghua⁴

Affiliation:

1. School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China

2. State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China

3. Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong SAR, China

4. Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY 10032, USA

Publisher

Impact Journals, LLC

Reference49 articles.

1. The WHO estimates of excess mortality associated with the COVID-19 pandemic.;Wakefield;Nature,2023

2. Estimating the burden of the COVID-19 pandemic on mortality, life expectancy and lifespan inequality in England and Wales: a population-level analysis.;Dowd;J Epidemiol Community Health,2021

3. Chronic inflammation in the etiology of disease across the life span.;Weyand;Nat Med,2019

4. Imbalanced Host Response to SARS-CoV-2 Drives Development of COVID-19.;Lim;Cell,2020

5. Proteomic and metabolomic profiling of urine uncovers immune responses in patients with COVID-19.;Zhang;Cell Rep,2022

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