Agata Wypych-Ślusarska, Karolina Krupa-Kotara, Klaudia Oleksiuk, Joanna Głogowska-Ligus, Jerzy Słowiński, Ewa Niewiadomska
Socioeconomic and Health Determinants of the Prevalence of COVID-19 in a Population of Children with Respiratory Diseases and Symptoms
Children (Basel, Switzerland)
dna methylation clocks accurately estimate chronological age extent also biological age yet process ageassociated dna methylation dnam changes acquired appears quasistochastic raising fundamental question much epigenetic clocks predictive accuracy could explained stochastic process dnam change using dnam data sorted immune cells build realistic simulation models subsequently demonstrating 22770 sorted wholeblood samples 25 independent cohorts approximately 6675 accuracy underpinning horvaths clock could driven stochastic process fraction increases 90 accurate zhangs clock lower 63 phenoage clock suggesting biological aging reflected nonstochastic processes confirming demonstrate horvaths age acceleration males phenoages age acceleration severe coronavirus disease 2019 cases smokers driven increased rate stochastic change nonstochastic processes results significantly deepen understanding interpretation epigenetic clocks