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Integrating Longitudinal Population Studies of Aging in Biological Research

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Aging

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2144))

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Abstract

Aging is a complicated biological process defined by a combination of species-specific phenotypes. Understating this complex system in humans requires collaboration across a wide range of scientists including molecular biologists, biochemists, biophysicists, biostatisticians, geneticists, demographers, and epidemiologists. Longitudinal data on humans is an essential tool for both discovery and hypothesis testing for validation. Several longitudinal studies of aging exist that have collected both social and biological data in humans that can be used to understand the human aging processes. This chapter aims to introduce aging biologists to these valuable resources and also explain some of the essential skills necessary to work with these large population-based datasets.

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References

  1. Mitchell SJ et al (2015) Animal models of aging research: implications for human aging and age-related diseases. Annu Rev Anim Biosci 3:283–303

    Article  CAS  Google Scholar 

  2. Morgan DG, May PC, Finch CE (1987) Dopamine and serotonin systems in human and rodent brain: effects of age and neurodegenerative disease. J Am Geriatr Soc 35(4):334–345

    Article  CAS  Google Scholar 

  3. Yen K et al (2018) Humanin prevents age-related cognitive decline in mice and is associated with improved cognitive age in humans. Sci Rep 8(1):14212

    Article  Google Scholar 

  4. Fontana L, Partridge L, Longo VD (2010) Extending healthy life span--from yeast to humans. Science 328(5976):321–326

    Article  CAS  Google Scholar 

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Acknowledgments

Contributions to this work were partially supported by funding from the National Institutes of Health, with support for B. Miller from a National Institute on Aging training grant (T32 AG00037; PI: Eileen Crimmins), for A. Haghani from a National Institute on Aging training grant (T32 AG052374: PI: Kelvin Davies), and for T.E. Arpawong through a pilot award from the National Institute on Aging (parent award P30 AG017265; PI: Eileen Crimmins).

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Authors and Affiliations

  1. Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA

    Amin Haghani, Brendan Miller, T. Em Arpawong & Jennifer Ailshire

Authors
  1. Amin Haghani
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  2. Brendan Miller
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  3. T. Em Arpawong
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  4. Jennifer Ailshire
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Corresponding author

Correspondence to T. Em Arpawong .

Editor information

Editors and Affiliations

  1. Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA

    Sean P. Curran

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Haghani, A., Miller, B., Arpawong, T.E., Ailshire, J. (2020). Integrating Longitudinal Population Studies of Aging in Biological Research. In: Curran, S. (eds) Aging. Methods in Molecular Biology, vol 2144. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0592-9_23

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  • DOI: https://doi.org/10.1007/978-1-0716-0592-9_23

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-0591-2

  • Online ISBN: 978-1-0716-0592-9

  • eBook Packages: Springer Protocols

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