Now showing items 1-10 of 11
The quadratic hazard model for analyzing longitudinal data on aging, health, and the life span.
(Phys Life Rev, 2012-06)
A better understanding of processes and mechanisms linking human aging with changes in health status and survival requires methods capable of analyzing new data that take into account knowledge about these processes accumulated ...
How the quality of GWAS of human lifespan and health span can be improved.
(Front Genet, 2013)
Optimal Versus Realized Trajectories of Physiological Dysregulation in Aging and Their Relation to Sex-Specific Mortality Risk.
(Front Public Health, 2016)
While longitudinal changes in biomarker levels and their impact on health have been characterized for individual markers, little is known about how overall marker profiles may change during aging and affect mortality risk. ...
stpm: an R package for stochastic process model.
(BMC Bioinformatics, 2017-02-23)
BACKGROUND: The Stochastic Process Model (SPM) represents a general framework for modeling the joint evolution of repeatedly measured variables and time-to-event outcomes observed in longitudinal studies, i.e., SPM relates ...
How the effects of aging and stresses of life are integrated in mortality rates: insights for genetic studies of human health and longevity.
Increasing proportions of elderly individuals in developed countries combined with substantial increases in related medical expenditures make the improvement of the health of the elderly a high priority today. If the process ...
Genetic Structures of Population Cohorts Change with Increasing Age: Implications for Genetic Analyses of Human aging and Life Span.
(Ann Gerontol Geriatr Res, 2017-06-02)
BACKGROUND: Correcting for the potential effects of population stratification is an important issue in genome wide association studies (GWAS) of complex traits. Principal component analysis (PCA) of the genetic structure ...
Genetics of aging, health, and survival: dynamic regulation of human longevity related traits.
(Front Genet, 2015)
BACKGROUND: The roles of genetic factors in human longevity would be better understood if one can use more efficient methods in genetic analyses and investigate pleiotropic effects of genetic variants on aging and health ...
Modeling longitudinal data on health aging and life span
(Physics of Life Reviews, 2012-06-01)
We address comments from the three discussants of our paper, paying particular attention to the properties of our model likely to be of interest in new applications to complex dynamic systems. © 2012 Elsevier B.V.
Pure and Confounded Effects of Causal SNPs on Longevity: Insights for Proper Interpretation of Research Findings in GWAS of Populations with Different Genetic Structures.
(Front Genet, 2016)
This paper shows that the effects of causal SNPs on lifespan, estimated through GWAS, may be confounded and the genetic structure of the study population may be responsible for this effect. Simulation experiments show that ...
How lifespan associated genes modulate aging changes: lessons from analysis of longitudinal data.
(Front Genet, 2013)
BACKGROUND AND OBJECTIVE: The influence of genes on human lifespan is mediated by biological processes that characterize body's functioning. The age trajectories of these processes contain important information about mechanisms ...