Evidence map›Paper›PMID 20184914›Full record

ArticleMechanisms of ageing and development2010

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

Anatoli I Yashin, Konstantin G Arbeev, Alexander Kulminski, Ingrid Borecki, Kaare Christensen, Michael Barmada, Evan Hadley, Winifred Rossi, Joseph H Lee, Rong Cheng and 1 more

Open access · greenAbstract read
In one paragraph

Article in Mechanisms of ageing and development, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

16 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. We are ageing.BioMed research international · 2014
    Review
  9. Personality profile of the children of long-lived parents.The journals of gerontology. Series B, Psychological sciences and social sciences · 2013
    Article
  10. Biogenetic mechanisms predisposing to complex phenotypes in parents may function differently in their children.The journals of gerontology. Series A, Biological sciences and medical sciences · 2013
    Article
  11. Age validation in the long life family study through a linkage to early-life census records.The journals of gerontology. Series B, Psychological sciences and social sciences · 2013
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. 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

11 authors at 7 institutions in 2 countries.

Anatoli I YashinDuke University, Center for Population Health and Aging, Durham, NC 27708-0408, USA. aiy@duke.edu
Konstantin G Arbeev
Alexander Kulminski
Ingrid Borecki
Kaare Christensen
Michael Barmada
Evan Hadley
Winifred Rossi
Joseph H Lee
Rong Cheng
Irma T Elo
Duke University · USColumbia University · USNational Institute on Aging · USUniversity of Pennsylvania · USUniversity of Pittsburgh · USUniversity of Southern Denmark · DKWashington University in St. Louis · US

Funding

TRAJECTORIES OF MORTALITY IN CAENORHABDITIS ELEGANSP01AG008761 · NIA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ROACH, DEBORAH A · 1990 to 2008
$17.5M
Long Life Family Study: Duke Univ./Univ. of Southern Denmark Field CenterU01AG023712 · NIA · DUKE UNIVERSITY · PI CHRISTENSEN, KAARE · 2004 to 2018
$10.4M
Population Science Research Center Development CoreR24HD044964 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI SMITH, HERBERT L. · 2003 to 2017
$9.8M
Sci-Tech Core-Population Dynamics Research CenterP2CHD044964 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI EMILIO ALBERTO PARRADO · 2018 to 2026
$5.3M
Healthy Life at Risk: The Role of SenescenceR01AG028259 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2005 to 2009
$1.2M
NIA NIH HHS 5P01AG008761NIA NIH HHS P01 AG008761NIA NIH HHS R01 AG028259NIA NIH HHS R01AG028259NIA NIH HHS U01 AG023712NIA NIH HHS U01AG023712NICHD NIH HHS P2C HD044964NICHD NIH HHS R24 HD044964
6 · The paper itself

Abstract

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.

Indexed as

ParentsFamilyFamily RelationsHealth ServicesHumansLongevityMaleResearchSurvival

Identifiers

PMID20184914
PMCPMC2865225
OpenAlexW2090164733

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.