Older biological age is associated with adverse COVID-19 outcomes: A cohort study in UK Biobank
暂无分享,去创建一个
J. Danesh | N. Samani | J. Thompson | A. Wood | S. Petersen | C. Nelson | S. Kaptoge | E. Angelantonio | A. Butterworth | V. Codd | Z. Raisi-Estabragh | N. Harvey | Qingning Wang | E. Allara | V. Bountziouka | C. Musicha | C. Nelson
[1] J. Danesh,et al. A major population resource of 474,074 participants in UK Biobank to investigate determinants and biomedical consequences of leukocyte telomere length. , 2021, medRxiv.
[2] James M. Eales,et al. Polygenic basis and biomedical consequences of telomere length variation , 2021, Nature Genetics.
[3] D. Levy,et al. The Nexus Between Telomere Length and Lymphocyte Count in Seniors Hospitalized With COVID-19 , 2021, The journals of gerontology. Series A, Biological sciences and medical sciences.
[4] M. Blasco,et al. Shorter telomere lengths in patients with severe COVID-19 disease , 2021, Aging.
[5] P. Laterre,et al. Short telomeres increase the risk of severe COVID-19 , 2020, Aging.
[6] M. Borghesan,et al. Cellular senescence as a potential mediator of COVID‐19 severity in the elderly , 2020, Aging cell.
[7] D. Gilroy,et al. Aging immunity may exacerbate COVID-19 , 2020, Science.
[8] K. Bhaskaran,et al. Factors associated with COVID-19-related death using OpenSAFELY , 2020, Nature.
[9] Daniel J. Wilson,et al. Dynamic linkage of COVID-19 test results between Public Health England’s Second Generation Surveillance System and UK Biobank , 2020, Microbial genomics.
[10] Leora I. Horwitz,et al. Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study , 2020, BMJ.
[11] J. Sterne,et al. Collider bias undermines our understanding of COVID-19 disease risk and severity , 2020, Nature Communications.
[12] M. Girardis,et al. Marked T cell activation, senescence, exhaustion and skewing towards TH17 in patients with COVID-19 pneumonia , 2020, Nature Communications.
[13] P. Donnelly,et al. The UK Biobank resource with deep phenotyping and genomic data , 2018, Nature.
[14] M. Bellon,et al. Telomere Dynamics in Immune Senescence and Exhaustion Triggered by Chronic Viral Infection , 2017, Viruses.
[15] C. Sudlow,et al. Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants With Those of the General Population , 2017, American journal of epidemiology.
[16] G. Davey Smith,et al. Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator , 2016, Genetic epidemiology.
[17] G. Davey Smith,et al. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression , 2015, International journal of epidemiology.
[18] P. Elliott,et al. UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age , 2015, PLoS medicine.
[19] A. Butterworth,et al. Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data , 2013, Genetic epidemiology.
[20] C. López-Larrea,et al. Send Orders of Reprints at Reprints@benthamscience.org Molecular Mechanisms Involved in the Aging of the T-cell Immune Response , 2022 .
[21] S. Cole,et al. Illustrating bias due to conditioning on a collider. , 2010, International journal of epidemiology.
[22] C B Harley,et al. Telomere length predicts replicative capacity of human fibroblasts. , 1992, Proceedings of the National Academy of Sciences of the United States of America.