Yan Yu, Hu Yijuan, North Kari E, Franceschini Nora, Lin Danyu
Department of Epidemiology, University of North Carolina, 2101 McGavran-Greenberg Hall, Chapel Hill, North Carolina 27599, USA.
BMC Proc. 2009 Dec 15;3 Suppl 7(Suppl 7):S118. doi: 10.1186/1753-6561-3-s7-s118.
In order to evaluate the population impact of putative causal genetic variants over the life course of disease, we extended the static estimation of population-attributable risk fraction and developed a novel tool to evaluate how the population impact changes over time using the Framingham Heart Study Offspring Cohort data provided to the Genetic Analysis Workshop 16, Problem 2. A set of population-attributable risk fractions based on survival functions were estimated under the proportional hazards models. The development of this novel measure of population impact creates a more comprehensive estimate of population impact over the life course of disease, which may help us to better understand genetic susceptibility at the population level.