Comparison of Clock Models in View of Clock Composition, Clock Steering and Measurement Fitting

2019 ◽  
Author(s):  
Christian Trainotti ◽  
Tobias D. Schmidt ◽  
Johann Furthner
Keyword(s):  
Clock Models

scholarly journals Onsager symmetries in $U(1)$ -invariant clock models

2019 ◽  
Vol 2019 (4) ◽  
pp. 043107 ◽  
Author(s):  
Eric Vernier ◽  
Edward O’Brien ◽  
Paul Fendley
Keyword(s):  
Clock Models

scholarly journals Cell Type-Specific Functions of Period Genes Revealed by Novel Adipocyte and Hepatocyte Circadian Clock Models

PLoS Genetics ◽  
2014 ◽  
Vol 10 (4) ◽  
pp. e1004244 ◽  
Author(s):  
Chidambaram Ramanathan ◽  
Haiyan Xu ◽  
Sanjoy K. Khan ◽  
Yang Shen ◽  
Paula J. Gitis ◽  
...  
Keyword(s):  
Circadian Clock ◽  
Cell Type ◽  
Cell Type Specific ◽  
Clock Models

scholarly journals Evaluating the Adequacy of Molecular Clock Models Using Posterior Predictive Simulations

2015 ◽  
Vol 32 (11) ◽  
pp. 2986-2995 ◽  
Author(s):  
David A. Duchêne ◽  
Sebastian Duchêne ◽  
Edward C. Holmes ◽  
Simon Y.W. Ho
Keyword(s):  
Molecular Clock ◽  
Clock Models ◽  
Predictive Simulations

scholarly journals Genetic and Phenotypic Evidence for the Causal Relationship Between Aging and COVID-19

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 332-332
Author(s):  
Ranran Zhai ◽  
Timothy Pyrkov ◽  
Anastasia Shindyapina ◽  
Marco Mariotti ◽  
Peter Fedichev ◽  
...  
Keyword(s):  
Immune Cell ◽  
The Elderly ◽  
Significant Negative Correlation ◽  
Epidemiological Studies ◽  
Notch Signaling Pathway ◽  
Biological Age ◽  
Risk Of Death ◽  
Age Related ◽  
Increased Risk ◽  
Clock Models

Abstract Epidemiological studies revealed that the elderly and those with comorbidities are most susceptible to COVID-19. To understand how genetics affects the risk of COVID-19, we conducted a multi-instrument Mendelian Randomization (MR) analysis and found that the genetic variation that supports a longer life is significantly associated with the lower risk of COVID-19 infection, as well as being hospitalized after infected. The odds ratio is 0.31 (P = 9.7e-6) and 0.46 (P = 3.3e-4), respectively, per additional 10 years of life. We further applied aging clock models and detected an association between biological age acceleration and future incidence and severity of COVID-19 infection for all subjects and individuals free of chronic disease. Biological age acceleration was also significantly associated with the risk of death in COVID-19 patients. A bivariate genomic scan for age-related COVID-19 infection identified a key contribution of the Notch signaling pathway and immune system. Finally, we performed MR using 389 immune cell traits as exposure and observed a significant negative correlation between their effect on lifespan and COVID-19 risk, especially for B cell-related traits. More specifically, we discovered the lower CD19 level on B cells indicates an increased risk of COVID-19 and potentially decreases the lifespan expectancy, which is further validated in clinical data from COVID-19 patients. Our analysis suggests that the factors that accelerate aging and limit lifespan cause an increased COVID-19 risk. Thus, the interventions target these factors (e.g., reduce biological age), after further validation, may have the opportunity to reduce the risk of COVID-19.

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