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Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model

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Published on: September 29, 2011

A genome-wide association study of aging.

Stefan Walter¹, Gil Atzmon, Ellen W Demerath

¹Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands.

Neurobiology of Aging

|July 26, 2011

Summary

This summary is machine-generated.

Genetic variations influence human longevity and healthy aging. This study identified specific genes linked to mortality and disease-free survival, highlighting the role of neurological processes in aging well.

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Area of Science:

Genetics
Gerontology
Genomics

Background:

Human longevity and healthy aging exhibit moderate heritability, ranging from 20% to 50%.
Understanding the genetic underpinnings of aging is crucial for developing interventions to promote healthspan.

Purpose of the Study:

To conduct a meta-analysis of genome-wide association studies to identify genetic factors influencing all-cause mortality and survival free of major disease.
To explore the genetic architecture of human longevity and healthy aging.

Main Methods:

Meta-analysis of genome-wide association studies from nine cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium.
Analysis of two outcomes: all-cause mortality and survival free of major disease or death.

Main Results:

No single nucleotide polymorphism (SNP) reached genome-wide significance for either outcome.
Identified 14 independent SNPs associated with mortality risk and 8 SNPs with event-free survival (p < 10(-5)).
These SNPs are located near genes involved in neurological processes, neural development, autophagy, and disease risk (e.g., cancer, Alzheimer's disease).

Conclusions:

Genetic variations in genes associated with neurological processes may play a significant role in regulating aging free of major disease.
These findings suggest a link between neurological function and the achievement of longevity.
Pathway and network analyses revealed considerable overlap between the identified genetic factors and aging-related traits.