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.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
1P01AG043352-01A1
Application #
8668228
Study Section
Special Emphasis Panel (ZAG1-ZIJ-8 (J2))
Project Start
Project End
Budget Start
2014-06-15
Budget End
2015-04-30
Support Year
1
Fiscal Year
2014
Total Cost
$180,187
Indirect Cost
$65,419
Name
Duke University
Department
Type
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Giuliani, Cristina; Sazzini, Marco; Pirazzini, Chiara et al. (2018) Impact of demography and population dynamics on the genetic architecture of human longevity. Aging (Albany NY) 10:1947-1963
Yashkin, Arseniy P; Akushevich, Igor; Ukraintseva, Svetlana et al. (2018) The Effect of Adherence to Screening Guidelines on the Risk of Alzheimer's Disease in Elderly Individuals Newly Diagnosed With Type 2 Diabetes Mellitus. Gerontol Geriatr Med 4:2333721418811201
Kulminski, Alexander M; Huang, Jian; Wang, Jiayi et al. (2018) Apolipoprotein E region molecular signatures of Alzheimer's disease. Aging Cell :e12779
Yashin, Anatoliy I; Fang, Fang; Kovtun, Mikhail et al. (2018) Hidden heterogeneity in Alzheimer's disease: Insights from genetic association studies and other analyses. Exp Gerontol 107:148-160
Kulminski, Alexander M; Huang, Jian; Loika, Yury et al. (2018) Strong impact of natural-selection-free heterogeneity in genetics of age-related phenotypes. Aging (Albany NY) 10:492-514
He, Liang; Culminskaya, Irina; Loika, Yury et al. (2018) Causal effects of cardiovascular risk factors on onset of major age-related diseases: A time-to-event Mendelian randomization study. Exp Gerontol 107:74-86
Akushevich, Igor; Yashkin, Arseniy P; Kravchenko, Julia et al. (2018) Identifying the causes of the changes in the prevalence patterns of diabetes in older U.S. adults: A new trend partitioning approach. J Diabetes Complications 32:362-367
Arbeeva, Liubov S; Hanson, Heidi A; Arbeev, Konstantin G et al. (2018) How Well Does the Family Longevity Selection Score Work: A Validation Test Using the Utah Population Database. Front Public Health 6:277
Yashkin, Arseniy P; Kravchenko, Julia; Yashin, Anatoliy I et al. (2018) Mortality and Macrovascular Risk in Elderly With Hypertension and Diabetes: Effect of Intensive Drug Therapy. Am J Hypertens 31:220-227
Zhbannikov, Ilya Y; Arbeev, Konstantin G; Yashin, Anatoliy I (2017) cophesim: a comprehensive phenotype simulator for testing novel association methods. F1000Res 6:1294

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