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The Journals of Gerontology Series A: Biological Sciences and Medical Sciences Advance Access originally published online on January 23, 2009
The Journals of Gerontology Series A: Biological Sciences and Medical Sciences 2009 64A(1):47-60; doi:10.1093/gerona/gln021
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© The Author 2009. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org.

Genetic Epidemiology in Aging Research

M. Daniele Fallin1,2,3 and Amy Matteini1,3

1 Department of Epidemiology
2 Department of Biostatistics, Bloomberg School of Public Health
3 Claude D. Pepper Older Americans Independence Center, Johns Hopkins University, Baltimore, Maryland

Address correspondence to M. Daniele Fallin, Department of Epidemiology, Bloomberg School of Public Health, 615 North Wolfe Street, Room W6509, Baltimore, MD 21205. Email: dfallin{at}jhsph.edu


  Abstract

Over the last two decades, aging research has expanded to include not only age-related disease models, and conversely, longevity and disease-free models, but also focuses on biological mechanisms related to the aging process. By viewing aging on multiple research frontiers, we are rapidly expanding knowledge as a whole and mapping connections between biological processes and particular age-related diseases that emerge. This is perhaps most true in the field of genetics, where variation across individuals has improved our understanding of aging mechanisms, etiology of age-related disease, and prediction of therapeutic responses. A close partnership between gerontologists, epidemiologists, and geneticists is needed to take full advantage of emerging genome information and technology and bring about a new age for biological aging research. Here we review current genetic findings for aging across both disease-specific and aging process domains. We then highlight the limitations of most work to date in terms of study design, genomic information, and trait modeling and focus on emerging technology and future directions that can partner genetic epidemiology and aging research fields to best take advantage of the rapid discoveries in each.

Keywords Aging; Genetics; Epidemiology

Received: March 12, 2008; Accepted: May 14, 2008

Decision Editor: Luigi Ferrucci, MD, PhD


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