Evidence map›Paper›PMID 22607627›Full record

ArticleRejuvenation research2012

How genes influence life span: the biodemography of human survival.

Anatoliy I Yashin, Deqing Wu, Konstantin G Arbeev, Eric Stallard, Kenneth C Land, Svetlana V Ukraintseva

Open access · greenAbstract read
In one paragraph

Article in Rejuvenation research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.5field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  3. Review
  4. Article
  5. Quantification of biological aging in young adults.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  6. Article
  7. Review
  8. Article
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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

6 authors at 1 institution in 1 country.

Anatoliy I YashinCenter for Population Health and Aging, Duke University, Durham, North Carolina 27708-0408, USA. aiy@duke.edu
Deqing Wu
Konstantin G Arbeev
Eric Stallard
Kenneth C Land
Svetlana V Ukraintseva
Duke University · US

Funding

THE FRAMINGHAM HEART STUDYN01HC25195 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI RAMACHANDRAN, VASAN S · 2007 to 2014
$83.8M
EVALUATING NEW GENETIC EFFECTS ON HEALTH AND AGING FROM LONGITUDINAL DATAR01AG030612 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2007 to 2011
$2.9M
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
NHLBI NIH HHS N01 HC25195NIA NIH HHS R01AG030612
6 · The paper itself

Abstract

backgroundIn genome-wide association studies (GWAS) of human life span, none of the genetic variants has reached the level of genome-wide statistical significance. The roles of such variants in life span regulation remain unclear. DATA AND

methodA biodemographic analyses was done of genetic regulation of life span using data on low-significance longevity alleles selected in the earlier GWAS of the original Framingham cohort.

resultsAge-specific survival curves considered as functions of the number of longevity alleles exhibit regularities known in demography as "rectangularization" of survival curves. The presence of such pattern confirms observations from experimental studies that regulation of life span involves genes responsible for stress resistance.

conclusionBiodemographic analyses could provide important information about the properties of genes affecting phenotypic traits.

Indexed as

AgingAllelesCohort StudiesDemographyGenome-Wide Association StudyHumansLongevityPhenotype

Identifiers

PMID22607627
PMCPMC3419845
OpenAlexW2094804108

What OpenQuestion holds

Textmetadata
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.