The Healthy Elderly Longevity Cohort (Wellderly)

With the completion of the human genome project, investigators can now explore new questions in human biology. Previously human genetics focused on highly penetrant, Mendelian traits; however, now rare and common variants can be discovered that affect "common" diseases that have multi-gene architecture with variable penetrance such as breast cancer, diabetes mellitus, and coronary artery disease. This change took place because investigators now have the tools to illuminate the whole genome at once to discover the genetic variants responsible for different disease phenotypes through statistical differences between populations. Besides disease phenotypes, health can be considered a human phenotype that can be studied. Health is not merely the absence of disease but may be viewed as a dynamic ongoing interplay between the environment and the genome to maintain homeostasis. Individuals often attempt to optimize environmental conditions according to ones genome to maximize their health. All individuals possess potentially beneficial and harmful variants depending on the environment. How this dynamic interplay occurs between the genome and environment requires understanding the boundary conditions of the genetic architecture of health and disease and then modeling the system to simulate the observed data.

The aging process also affects health. Aging involves a loss of the normal coping responses to internal and external environmental stressors or signals. Investigators now have the tools to uncover from the bottom up the mechanisms involved in maintaining the ability to overcome environmental conditions that can affect health.

Against this genomic breakthrough of whole genome association studies, the demographics in the United States are quickly changing. The older population (age > 65 years) in 2030 is projected to be twice as large as in 2000 representing nearly 20 percent of the total US population. The first baby boomers turn 65 in 2011 and will challenge all facets of health care in the coming decades. The demographic changes underscore the need to understand the mechanisms that promote health and disease in this cohort. Genomic discoveries will help individuals and may reduce medical costs and benefit society.

In summary, the objective of this study is to obtain blood and/or saliva samples in order to help model health and disease phenotypes through population genomics. The blood and/or saliva samples may allow for participants' entire genomes to be sequenced if such comprehensive analysis becomes feasible and economical.