Display options
Cite
Sebastiani P, Andersen SL, McIntosh AI, et al. Familial Risk for Exceptional Longevity. N Am Actuar J. 2015;20(1):57-64doi: 10.1080/10920277.2015.1061946.
Sebastiani, P., Andersen, S. L., McIntosh, A. I., Nussbaum, L., Stevenson, M. D., Pierce, L., Xia, S., Salance, K., & Perls, T. T. (2016). Familial Risk for Exceptional Longevity. North American actuarial journal : NAAJ, 20(1), 57-64. https://doi.org/10.1080/10920277.2015.1061946
Sebastiani, Paola, et al. "Familial Risk for Exceptional Longevity." North American actuarial journal : NAAJ vol. 20,1 (2016): 57-64. doi: https://doi.org/10.1080/10920277.2015.1061946
Sebastiani P, Andersen SL, McIntosh AI, Nussbaum L, Stevenson MD, Pierce L, Xia S, Salance K, Perls TT. Familial Risk for Exceptional Longevity. N Am Actuar J. 2016 Jan 01;20(1):57-64. doi: 10.1080/10920277.2015.1061946. Epub 2015 Oct 07. PMID: 27041978; PMCID: PMC4812435.
Copy Download .nbib Format: NLM
Share it on

N Am Actuar J. 2016 Jan 01;20(1):57-64. doi: 10.1080/10920277.2015.1061946. Epub 2015 Oct 07.

Familial Risk for Exceptional Longevity.

North American actuarial journal : NAAJ

Paola Sebastiani, Stacy L Andersen, Avery I McIntosh, Lisa Nussbaum, Meredith D Stevenson, Leslie Pierce, Samantha Xia, Kelly Salance, Thomas T Perls

Affiliations

  1. Department of Biostatistics, Boston University School of Public Health, Boston.
  2. New England Centenarian Study, Geriatrics Section, Department of Medicine, Boston Medical Center, Boston University School of Medicine.
  3. Department of Biostatistics, Boston University School of Public Health, Boston; New England Centenarian Study, Geriatrics Section, Department of Medicine, Boston Medical Center, Boston University School of Medicine.

PMID: 27041978 PMCID: PMC4812435 DOI: 10.1080/10920277.2015.1061946

Abstract

One of the most glaring deficiencies in the current assessment of mortality risk is the lack of information concerning the impact of familial longevity. In this work, we update estimates of sibling relative risk of living to extreme ages using data from more than 1,700 sibships, and we begin to examine the trend for heritability for different birth-year cohorts. We also build a network model that can be used to compute the increased chance for exceptional longevity of a subject, conditional on his family history of longevity. The network includes familial longevity from three generations and can be used to understand the effects of paternal and maternal longevity on an individual's chance to live to an extreme age.

References

  1. Hum Genet. 2006 Apr;119(3):312-21 - PubMed
  2. Science. 1998 May 8;280(5365):855-60 - PubMed
  3. Hum Genet. 1996 Mar;97(3):319-23 - PubMed
  4. Front Genet. 2012 Nov 30;3:277 - PubMed
  5. Am J Epidemiol. 2008 Oct 15;168(8):890-6 - PubMed
  6. Arch Intern Med. 2001 Jul 9;161(13):1645-52 - PubMed
  7. Front Genet. 2012 Feb 29;3:26 - PubMed
  8. Nat Rev Genet. 2006 Jun;7(6):436-48 - PubMed
  9. Nat Rev Genet. 2008 Apr;9(4):255-66 - PubMed
  10. J Gerontol A Biol Sci Med Sci. 2006 Apr;61(4):345-54 - PubMed
  11. J Gerontol A Biol Sci Med Sci. 2016 Mar;71(3):340-6 - PubMed
  12. J Am Geriatr Soc. 2004 Dec;52(12):2074-6 - PubMed
  13. PLoS One. 2012;7(1):e29848 - PubMed
  14. Eur J Hum Genet. 2000 Oct;8(10):743-9 - PubMed
  15. J Gerontol A Biol Sci Med Sci. 2000 Aug;55(8):M446-52 - PubMed
  16. Proc Natl Acad Sci U S A. 2003 Nov 25;100(24):14115-20 - PubMed
  17. Twin Res. 1998 Dec;1(4):196-205 - PubMed
  18. J Gerontol A Biol Sci Med Sci. 2001 Mar;56(3):B130-9 - PubMed
  19. Genet Epidemiol. 2000 Mar;18(3):217-35 - PubMed
  20. Lancet. 1998 May 23;351(9115):1560 - PubMed
  21. Proc Natl Acad Sci U S A. 2002 Jun 11;99(12):8442-7 - PubMed
  22. Science. 1997 Jun 6;276(5318):1560-3 - PubMed
  23. J Gerontol A Biol Sci Med Sci. 2011 Jan;66(1):26-37 - PubMed

Publication Types

Grant support