Computational Method for Predicting Biological Aging
-Forensic diagnosis of human actual age from any tissue including blood and saliva.-Prediction of human aging rate.-Health assessment.-Assessment of environmental factors and their effect on human aging.-Biomarker to study age-related diseases.-Biomarker tissue assay for drugs and chemical compounds that can retard or accelerate human aging.-Markers of cellular senescence.
Scientists at UCSD have developed a unique computational method that measures and compares the human aging rate using DNA methylation markers. This is a quantitative model based on measuring CpG markers from the whole blood of human individuals ages 19 to 101. This measures the rate at which an individual’s methylome ages, and is impacted by gender and genetic variants. The optimal version of the model incorporates 71 methylation markers that are highly predictive of age and are associated with genes associated with age-related conditions. Several markers are also implicated in obesity and metabolism. Although the original model was developed using markers found in whole blood, from an original cohort of more than 650 individuals, it has been tested with high predictability against secondary cohorts and other tissue sources. The computer software has many potential applications and is available for licensing.
20150259742
Related Materials Tech ID/UC Case 23068/2013-096-0 Related Cases 2013-096-0
美国
