The Long Life Family Study (*)

Launched in 2005, the Long Life Family Study (LLFS) seeks to understand exceptional longevity in some families to discover genetic and environmental factors that contribute to healthy aging. From 2006 to 2009, LLFS enrolled 539 two-generation families (siblings, spouses and offspring) in the United States and Denmark, all with histories of longevity. Participants totaled 4,953 individuals. First-generation (G1) participants made-up approximately one-third of the cohort, with a mean age of 90 and the other two-thirds, primarily offspring, had a mean age of 61. All participants underwent biomedical testing and answered extensive questions on health, environment and family history.

This initial examination revealed exceptional clustering of longevity in these families and showed lower rates of disease and risk factors than those in the general population. The offspring of G1 enrollees, for example, have a variety of Healthy Aging Phenotypes (HAPs), defined as an unusually low age-specific prevalence of one or more specific conditions or risk factors, compared to population-based cohorts, suggesting enrichment of shared (possibly genetic) protective effects in LLFS families. From 2010 to 2013, the study team conducted a 2.5 million SNP GWAS; developed a high-throughput technique and sequenced ~450 candidate genes and replicated many variants; and found additional ones associated with Healthy Aging Phenotypes (HAP) and longevity.

In 2014, the study team conducted a second in-person examination of all living LLFS participants to prospectively study rates of change in HAPs with age. This examination also identified genetic and other factors contributing to HAPs and longevity.  At this time, 54 percent of G1 enrollees and 92 percent of their offspring (G2) were alive. Participants are continuing to be followed-up annually to track vital and health status.

Project PI: Kaare Christensen

Data Collection Category
Longitudinal Surveys
Last Year of Data
2017
Birth Year
1904-1970
Age Range at Last Data Collection
46-100
Biomarkers/ Administrative or Other Data Elements
DNA, OBM, PM, AD
Primary Funding Agency
NIA