21 Influence of Genetic Relationships in Age-Specific Cognitive Patterns in the Long-Life Family Study

Sheng Luo Co-Author
Duke University
 
Konstantin Arbeev Co-Author
Duke University
 
Igor Akushevich Co-Author
Duke University
 
Anatoliy Yashnin Co-Author
Duke University
 
Dhrubajyoti Ghosh Co-Author
Washington University in St. Louis
 
Salil Koner First Author
Duke University
 
Salil Koner Presenting Author
Duke University
 
Monday, Aug 5: 2:00 PM - 3:50 PM
2177 
Contributed Posters 
Oregon Convention Center 
The Long Life Family Study (LLFS) enrolled 5,089 individuals from 593 two-generation families, selected from the top 1% of the Family Longevity Selection Score. LLFS families, on average, exhibited superior aging outcomes, though with notable variation among pedigrees. The heritability of key healthy aging indicators, both short and long-term, underscores a genetic influence on protection against aging. This project introduces a robust methodology to analyze longitudinal changes in cognitive function, accounting for genetic relations, and other correlated biomarkers. We adopt a nonparametric hierarchical functional model to address the familial structure inherent in LLFS. Departing from conventional approaches that consider the time from baseline as the longitudinal indicator, this model utilizes age as the natural temporal variable, offering advantages in handling limited observations and facilitating the integration of diverse study data. This innovative approach enhances the understanding of cognitive aspects related to exceptional longevity within the LLFS cohort by pooling the shared information from the subjects in a family, even under less than three data per subject.

Keywords

Hierarchical functional model

Long-life family study

Functional Principal Component analysis

Generalized additive model 

Abstracts


Main Sponsor

Biometrics Section