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Heritability estimates of endophenotypes of long and health life: the Long Life Family Study.

Publication ,  Journal Article
Matteini, AM; Fallin, MD; Kammerer, CM; Schupf, N; Yashin, AI; Christensen, K; Arbeev, KG; Barr, G; Mayeux, R; Newman, AB; Walston, JD
Published in: The journals of gerontology. Series A, Biological sciences and medical sciences
December 2010

Identification of gene variants that contribute to exceptional survival may provide critical biologic information that informs optimal health across the life span.As part of phenotype development efforts for the Long Life Family Study, endophenotypes that represent exceptional survival were identified and heritability estimates were calculated. Principal components (PCs) analysis was carried out using 28 physiologic measurements from five trait domains (cardiovascular, cognition, physical function, pulmonary, and metabolic).The five most dominant PCs accounted for 50% of underlying trait variance. The first PC (PC1), which consisted primarily of poor pulmonary and physical function, represented 14.3% of the total variance and had an estimated heritability of 39%. PC2 consisted of measures of good metabolic and cardiovascular function with an estimated heritability of 27%. PC3 was made up of cognitive measures (h(2) = 36%). PC4 and PC5 contained measures of blood pressure and cholesterol, respectively (h(2) = 25% and 16%).These PCs analysis-derived endophenotypes may be used in genetic association studies to help identify underlying genetic mechanisms that drive exceptional survival in this and other populations.

Duke Scholars

Published In

The journals of gerontology. Series A, Biological sciences and medical sciences

DOI

EISSN

1758-535X

ISSN

1079-5006

Publication Date

December 2010

Volume

65

Issue

12

Start / End Page

1375 / 1379

Related Subject Headings

  • Waist Circumference
  • United States
  • Quantitative Trait, Heritable
  • Principal Component Analysis
  • National Institute on Aging (U.S.)
  • Motor Activity
  • Metabolism
  • Lung
  • Longevity
  • Humans
 

Citation

APA
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ICMJE
MLA
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Matteini, A. M., Fallin, M. D., Kammerer, C. M., Schupf, N., Yashin, A. I., Christensen, K., … Walston, J. D. (2010). Heritability estimates of endophenotypes of long and health life: the Long Life Family Study. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 65(12), 1375–1379. https://doi.org/10.1093/gerona/glq154
Matteini, Amy M., M Daniele Fallin, Candace M. Kammerer, Nicole Schupf, Anatoli I. Yashin, Kaare Christensen, Konstantin G. Arbeev, et al. “Heritability estimates of endophenotypes of long and health life: the Long Life Family Study.The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 65, no. 12 (December 2010): 1375–79. https://doi.org/10.1093/gerona/glq154.
Matteini AM, Fallin MD, Kammerer CM, Schupf N, Yashin AI, Christensen K, et al. Heritability estimates of endophenotypes of long and health life: the Long Life Family Study. The journals of gerontology Series A, Biological sciences and medical sciences. 2010 Dec;65(12):1375–9.
Matteini, Amy M., et al. “Heritability estimates of endophenotypes of long and health life: the Long Life Family Study.The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, vol. 65, no. 12, Dec. 2010, pp. 1375–79. Epmc, doi:10.1093/gerona/glq154.
Matteini AM, Fallin MD, Kammerer CM, Schupf N, Yashin AI, Christensen K, Arbeev KG, Barr G, Mayeux R, Newman AB, Walston JD. Heritability estimates of endophenotypes of long and health life: the Long Life Family Study. The journals of gerontology Series A, Biological sciences and medical sciences. 2010 Dec;65(12):1375–1379.
Journal cover image

Published In

The journals of gerontology. Series A, Biological sciences and medical sciences

DOI

EISSN

1758-535X

ISSN

1079-5006

Publication Date

December 2010

Volume

65

Issue

12

Start / End Page

1375 / 1379

Related Subject Headings

  • Waist Circumference
  • United States
  • Quantitative Trait, Heritable
  • Principal Component Analysis
  • National Institute on Aging (U.S.)
  • Motor Activity
  • Metabolism
  • Lung
  • Longevity
  • Humans