Skip to main content
Journal cover image

"Predicting" parental longevity from offspring endophenotypes: data from the Long Life Family Study (LLFS).

Publication ,  Journal Article
Yashin, AI; Arbeev, KG; Kulminski, A; Borecki, I; Christensen, K; Barmada, M; Hadley, E; Rossi, W; Lee, JH; Cheng, R; Elo, IT
Published in: Mechanisms of ageing and development
March 2010

While there is evidence that longevity runs in families, the study of long-lived families is complicated by the fact that longevity-related information is available only for the oldest old, many of whom may be deceased and unavailable for testing, and information on other living family members, primarily descendents, is censored. This situation requires a creative approach for analyzing determinants of longevity in families. There are likely biomarkers that predict an individual's longevity, suggesting the possibility that those biomarkers which are heritable may constitute valuable endophenotypes for exceptional survival. These endophenotypes could be studied in families to identify human longevity genes and elucidate possible mechanisms of their influence on longevity. In this paper, we analyze data collected in the Long Life Family Study (LLFS) investigating whether indicators of physiological state, cognitive functioning and health/well-being among offspring predict longevity in parents. Good predictors can be used as endophenotypes for exceptional survival. Our analyses revealed significant associations between cumulative indices describing physiological state, as well as a number of offspring phenotypes, and parental lifespan, supporting both their familial basis and relevance to longevity. We conclude that the study of endophenotypes within families is a valid approach to the genetics of human longevity.

Duke Scholars

Published In

Mechanisms of ageing and development

DOI

EISSN

1872-6216

ISSN

0047-6374

Publication Date

March 2010

Volume

131

Issue

3

Start / End Page

215 / 222

Related Subject Headings

  • Survival
  • Research
  • Parents
  • Male
  • Longevity
  • Humans
  • Health Services
  • Gerontology
  • Family Relations
  • Family
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Yashin, A. I., Arbeev, K. G., Kulminski, A., Borecki, I., Christensen, K., Barmada, M., … Elo, I. T. (2010). "Predicting" parental longevity from offspring endophenotypes: data from the Long Life Family Study (LLFS). Mechanisms of Ageing and Development, 131(3), 215–222. https://doi.org/10.1016/j.mad.2010.02.001
Yashin, Anatoli I., Konstantin G. Arbeev, Alexander Kulminski, Ingrid Borecki, Kaare Christensen, Michael Barmada, Evan Hadley, et al. “"Predicting" parental longevity from offspring endophenotypes: data from the Long Life Family Study (LLFS).Mechanisms of Ageing and Development 131, no. 3 (March 2010): 215–22. https://doi.org/10.1016/j.mad.2010.02.001.
Yashin AI, Arbeev KG, Kulminski A, Borecki I, Christensen K, Barmada M, et al. "Predicting" parental longevity from offspring endophenotypes: data from the Long Life Family Study (LLFS). Mechanisms of ageing and development. 2010 Mar;131(3):215–22.
Yashin, Anatoli I., et al. “"Predicting" parental longevity from offspring endophenotypes: data from the Long Life Family Study (LLFS).Mechanisms of Ageing and Development, vol. 131, no. 3, Mar. 2010, pp. 215–22. Epmc, doi:10.1016/j.mad.2010.02.001.
Yashin AI, Arbeev KG, Kulminski A, Borecki I, Christensen K, Barmada M, Hadley E, Rossi W, Lee JH, Cheng R, Elo IT. "Predicting" parental longevity from offspring endophenotypes: data from the Long Life Family Study (LLFS). Mechanisms of ageing and development. 2010 Mar;131(3):215–222.
Journal cover image

Published In

Mechanisms of ageing and development

DOI

EISSN

1872-6216

ISSN

0047-6374

Publication Date

March 2010

Volume

131

Issue

3

Start / End Page

215 / 222

Related Subject Headings

  • Survival
  • Research
  • Parents
  • Male
  • Longevity
  • Humans
  • Health Services
  • Gerontology
  • Family Relations
  • Family