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A cluster analysis to define human aging phenotypes.

G Passarino1, A Montesanto, F De Rango

  • 1Department of Cell Biology, University of Calabria, Ponte Pietro Bucci, Rende, Cosenza, 87036, Italy. g.passarino@unical.it

Biogerontology
|December 14, 2006
PubMed
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Identifying precise aging phenotypes is crucial for genetic studies. This research defines three distinct frailty phenotypes in older adults using cognitive, functional, and strength measures, aiding in understanding aging quality.

Area of Science:

  • Gerontology
  • Genetics
  • Biostatistics

Background:

  • Defining consistent aging phenotypes is challenging for genetic studies on human aging.
  • Frailty, characterized by vulnerability and negative outcomes, offers a promising approach.
  • Cognitive, functional, and psychological measures are key to defining frailty and aging-related decline.

Purpose of the Study:

  • To identify distinct aging phenotypes using a cluster analysis approach.
  • To establish reliable frailty phenotypes for genetic research into aging quality.
  • To evaluate the effectiveness of cluster analysis in defining aging phenotypes across different age groups.

Main Methods:

  • Hierarchical Cluster Analysis (CA) was employed.
  • Mini-Mental State Examination (MMSE), hand grip strength, and Geriatric Depression Scale (GDS) were used as input variables.

Related Experiment Videos

  • The study analyzed a sample of individuals aged 65-85 years.

    • Main Results:

    • Three distinct frailty phenotypes were identified in the 65-85 age group.
    • These phenotypes demonstrated consistency from both geriatric and genetic viewpoints.
    • Cluster analysis was less effective in ultranonagenarians due to a high prevalence of frail individuals.

    Conclusions:

    • The proposed CA method provides unbiased aging phenotypes suitable for genetic variant identification.
    • This approach can enhance the study of genetic factors influencing aging quality in older adults.
    • Further refinement may be needed for applying this method to extremely elderly populations.