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A Phenotyping Regimen for Genetically Modified Mice Used to Study Genes Implicated in Human Diseases of Aging

A Phenotyping Regimen for Genetically Modified Mice Used to Study Genes Implicated in Human Diseases of Aging

Published on: July 14, 2016

Genetic epidemiology in aging research.

M Daniele Fallin¹, Amy Matteini

¹Department of Epidemiology, Bloomberg School of Public Health, Baltimore, MD 21205, USA. dfallin@jhsph.edu

The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences

|January 27, 2009

Summary

Genetics significantly advances aging research by revealing mechanisms and disease links. Integrating gerontology, epidemiology, and genetics is crucial for future discoveries in biological aging.

Area of Science:

Gerontology and Genetics
Integrative Biology

Background:

Aging research has broadened from disease models to biological mechanisms.
Genetics offers insights into aging processes, disease etiology, and treatment responses.
Interdisciplinary collaboration is essential for advancing biological aging research.

Purpose of the Study:

To review current genetic findings in aging research across disease-specific and aging process domains.
To highlight limitations in current study designs, genomic data, and trait modeling.
To identify emerging technologies and future directions for genetic epidemiology and aging research.

Main Methods:

Review of current genetic findings in aging research.
Analysis of limitations in study design, genomic information, and trait modeling.

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A Phenotyping Regimen for Genetically Modified Mice Used to Study Genes Implicated in Human Diseases of Aging

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

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Exploration of emerging technologies and future research directions.

Main Results:

Genetic variation improves understanding of aging mechanisms and age-related diseases.
Current research faces limitations in study design and data integration.
Emerging technologies promise to enhance the synergy between genetic epidemiology and aging research.

Conclusions:

A multidisciplinary approach combining gerontology, epidemiology, and genetics is vital.
Addressing limitations in current research will accelerate progress in understanding aging.
Future research should leverage emerging technologies for deeper insights into biological aging.