instnjctions): Core A: Administrative The Administrative Core (Core A) will provide leadership and support for vital POl functions. As Program Director, Dr. Yashin will lead Core A. Core A's key objectives are: (a) Monitor overall progress to ensure that all POl components meet their specific aims, (b) Facilitate interaction and sharing of resources and ideas among projects and cores, (c) Provide fiscal and clerical administrative support for the POl, (d) Facilitate communication by scheduling regular conference calls with outside sub-contract investigator (Dr. Borecki) and project consultants and by organizing investigator meetings at Duke, (e) Organize annual two-day meetings of all investigators with the External Advisory Board at Duke University, (f) Schedule travel for subcontract investigators and consultants as needed, (g) Convene discussions and lead any executive decision making that becomes necessary as a result of new opportunities or unanticipated challenges. The following specific aims will be addressed: 1. Provide administrative support for Projects and Core B which will facilitate day-to-day as well as long term management of the POl;2. Facilitate scientific integration and of activities in Core B and Projects by establishment of a Scientific Steering Committee (SSC) along with developing new collaborations; 3. Broadly disseminate our results and approaches to data analyses including encouraging and facilitating publication of findings in peer-reviewed scientific journals, presenting results at national and international professional meetings. SSC will facilitate the communication and interaction among statisticians involved in the Projects and the scientists providing the biological-based data to project investigators.

Public Health Relevance

The Administrative Core (Core A) will provide leadership and support for vital POl functions. The results the POl will improve our understanding of mechanisms of aging related changes and their influence on health and survival outcomes. The new knowledge produced in course of work on this project will facilitate development of personalized preventive and treatment strategies which contribute to improvement of population health in the U.S. and other developed countries.

National Institute of Health (NIH)
National Institute on Aging (NIA)
Research Program Projects (P01)
Project #
Application #
Study Section
Special Emphasis Panel (ZAG1-ZIJ-8 (J2))
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Duke University
United States
Zip Code
Doherty, Aoife; Kernogitski, Yelena; Kulminski, Alexander M et al. (2017) Identification of polymorphisms in cancer patients that differentially affect survival with age. Aging (Albany NY) 9:2117-2136
Akushevich, I; Yashkin, A P; Kravchenko, J et al. (2017) Theory of partitioning of disease prevalence and mortality in observational data. Theor Popul Biol 114:117-127
Yashin, Anatoliy I; Fang, Fang; Kovtun, Mikhail et al. (2017) Hidden heterogeneity in Alzheimer's disease: Insights from genetic association studies and other analyses. Exp Gerontol :
He, Liang; Zhbannikov, Ilya; Arbeev, Konstantin G et al. (2017) A genetic stochastic process model for genome-wide joint analysis of biomarker dynamics and disease susceptibility with longitudinal data. Genet Epidemiol 41:620-635
Kulminski, Alexander M; Kernogitski, Yelena; Culminskaya, Irina et al. (2017) Uncoupling associations of risk alleles with endophenotypes and phenotypes: insights from the ApoB locus and heart-related traits. Aging Cell 16:61-72
Zhbannikov, Ilya Y; Arbeev, Konstantin; Akushevich, Igor et al. (2017) stpm: an R package for stochastic process model. BMC Bioinformatics 18:125
Yashin, Anatoliy I; Zhbannikov, Ilya; Arbeeva, Liubov et al. (2016) 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 7:188
Kulminski, Alexander M; Raghavachari, Nalini; Arbeev, Konstantin G et al. (2016) Protective role of the apolipoprotein E2 allele in age-related disease traits and survival: evidence from the Long Life Family Study. Biogerontology 17:893-905
Kulminski, Alexander M; He, Liang; Culminskaya, Irina et al. (2016) Pleiotropic Associations of Allelic Variants in a 2q22 Region with Risks of Major Human Diseases and Mortality. PLoS Genet 12:e1006314
Yashin, Anatoliy I; Arbeev, Konstantin G; Arbeeva, Liubov S et al. (2016) How the effects of aging and stresses of life are integrated in mortality rates: insights for genetic studies of human health and longevity. Biogerontology 17:89-107

Showing the most recent 10 out of 25 publications