Evidence map›Paper›PMID 23346098›Full record

ArticleFrontiers in genetics2013

How lifespan associated genes modulate aging changes: lessons from analysis of longitudinal data.

Anatoliy I Yashin, Konstantin G Arbeev, Deqing Wu, Liubov S Arbeeva, Alexander Kulminski, Igor Akushevich, Irina Culminskaya, Eric Stallard, Svetlana V Ukraintseva

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 41 citations in OpenAlex.

  1. Change in the Rate of Biological Aging in Response to Caloric Restriction: CALERIE Biobank Analysis.The journals of gerontology. Series A, Biological sciences and medical sciences · 2017
    Trial
  2. Article
  3. Article
  4. Association Between Late-Life Weight Change and Dementia: A Population-based Cohort Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
  5. Article
  6. Article
  7. Article
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  9. Predictors and Implications of Accelerated Cognitive Aging.Biodemography and social biology · 2018
    Article
  10. Article
  11. Article
  12. Article
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  14. Review
  15. Article
  16. Article
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  18. A clinical frailty index in aging mice: comparisons with frailty index data in humans.The journals of gerontology. Series A, Biological sciences and medical sciences · 2014
    Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Anatoliy I YashinCenter for Population Health and Aging, Duke University Durham, NC, USA.
Konstantin G Arbeev
Deqing Wu
Liubov S Arbeeva
Alexander Kulminski
Igor Akushevich
Irina Culminskaya
Eric Stallard
Svetlana V Ukraintseva
Duke University · US

Funding

Science CoreP2CHD065563 · NICHD · DUKE UNIVERSITY · PI James Moody · 2015 to 2026
$5.7M
EVALUATING NEW GENETIC EFFECTS ON HEALTH AND AGING FROM LONGITUDINAL DATAR01AG030612 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2007 to 2011
$2.9M
Duke Population Research InstituteR24HD065563 · NICHD · DUKE UNIVERSITY · PI SANDERS, SETH G · 2010 to 2014
$1.4M
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
NHLBI NIH HHS N01 HC025195NIA NIH HHS R01 AG030612NICHD NIH HHS P2C HD065563NICHD NIH HHS R24 HD065563
6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe influence of genes on human lifespan is mediated by biological processes that characterize body's functioning. The age trajectories of these processes contain important information about mechanisms linking aging, health, and lifespan. The objective of this paper is to investigate regularities of aging changes in different groups of individuals, including individuals with different genetic background, as well as their connections with health and lifespan. DATA AND

methodTo reach this objective we used longitudinal data on four physiological variables, information about health and lifespan collected in the Framingham Heart Study (FHS), data on longevity alleles detected in earlier study, as well as methods of statistical modeling.

resultsWe found that phenotypes of exceptional longevity and health are linked to distinct types of changes in physiological indices during aging. We also found that components of aging changes differ in groups of individuals with different genetic background.

conclusionsThese results suggest that factors responsible for exceptional longevity and health are not necessary the same, and that postponing aging changes is associated with extreme longevity. The genetic factors which increase lifespan are associated with physiological changes typical of healthy and long-living individuals, smaller mortality risks from cancer and CVD and better estimates of adaptive capacity in statistical modeling. This indicates that extreme longevity and health related traits are likely to be less heterogeneous phenotypes than lifespan, and studying these phenotypes separately from lifespan may provide additional information about mechanisms of human aging and its relation to chronic diseases and lifespan.

Indexed as

age trajectoriesgenetic doseintegrative genetic mortality modellongevity genesphysiological variables

Identifiers

PMID23346098
PMCPMC3551204
OpenAlexW1967118890

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.