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.
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.
|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|
|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|
|Ukraintseva, Svetlana; Yashin, Anatoliy; Arbeev, Konstantin et al. (2016) Puzzling role of genetic risk factors in human longevity: "risk alleles" as pro-longevity variants. Biogerontology 17:109-27|
|Kulminski, Alexander M; Loika, Yury; Culminskaya, Irina et al. (2016) Explicating heterogeneity of complex traits has strong potential for improving GWAS efficiency. Sci Rep 6:35390|
|Yashin, Anatoliy I; Arbeev, Konstantin G; Wu, Deqing et al. (2016) How Genes Modulate Patterns of Aging-Related Changes on the Way to 100: Biodemographic Models and Methods in Genetic Analyses of Longitudinal Data. N Am Actuar J 20:201-232|
|He, Liang; SillanpÃ¤Ã¤, Mikko J; Silventoinen, Karri et al. (2016) Estimating Modifying Effect of Age on Genetic and Environmental Variance Components in Twin Models. Genetics 202:1313-28|
|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|
|Arbeev, Konstantin G; Cohen, Alan A; Arbeeva, Liubov S et al. (2016) Optimal Versus Realized Trajectories of Physiological Dysregulation in Aging and Their Relation to Sex-Specific Mortality Risk. Front Public Health 4:3|
|Arbeev, Konstantin G; Ukraintseva, Svetlana V; Yashin, Anatoliy I (2016) Dynamics of biomarkers in relation to aging and mortality. Mech Ageing Dev 156:42-54|
|Kulminski, Alexander M; Culminskaya, Irina; Arbeev, Konstantin G et al. (2015) Birth Cohort, Age, and Sex Strongly Modulate Effects of Lipid Risk Alleles Identified in Genome-Wide Association Studies. PLoS One 10:e0136319|
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