Evidence map›Paper›PMID 22892531›Full record

ArticleEuropean journal of human genetics : EJHG2013

Analyzing age-specific genetic effects on human extreme age survival in cohort-based longitudinal studies.

Qihua Tan, Rune Jacobsen, Mette Sørensen, Lene Christiansen, Torben A Kruse, Kaare Christensen

Open access · bronzeAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2013. 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
0.5field-weighted citation impact, top 44% 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, 13 citations in OpenAlex.

  1. Article
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  9. Review
  10. Detecting genetic variants for extreme aging using multiple data sources.European journal of human genetics : EJHG · 2013
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Qihua TanInstitute of Public Health, University of Southern Denmark, Odense C, Denmark. qtan@health.sdu.dk
Rune Jacobsen
Mette Sørensen
Lene Christiansen
Torben A Kruse
Kaare Christensen
University of Southern Denmark · DKOdense University Hospital · DK

Funding

TRAJECTORIES OF MORTALITY IN CAENORHABDITIS ELEGANSP01AG008761 · NIA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ROACH, DEBORAH A · 1990 to 2008
$17.5M
NIA NIH HHS P01 AG008761NIA NIH HHS P01AG08761
6 · The paper itself

Abstract

The analysis of age-specific genetic effects on human survival over extreme ages is confronted with a deceleration pattern in mortality that deviates from traditional survival models and sparse genetic data available. As human late life is a distinct phase of life history, exploring the genetic effects on extreme age survival can be of special interest to evolutionary biology and health science. We introduce a non-parametric survival analysis approach that combines population survival information with individual genotype data in assessing the genetic effects in cohort-based longitudinal studies. Our approach is characterized by non-parametric analysis of late age survival to capture the observed pattern of mortality deceleration and frailty modeling to account for individual heterogeneity in unobserved frailty. The method is applied to ApoE genotype data in the Danish 1905 birth cohort to estimate effect of the e4 allele. Our results revealed an age-specific relative risk of the allele that increases nonlinearly with age and non-proportional patterns in hazard of death for carriers and non-carriers of the allele, suggesting that the e4 mutation preserves its deleterious effect that progressively affect human survival even at extreme ages.

Indexed as

Aged, 80 and overAllelesApolipoproteins ECohort StudiesDenmarkFemaleGenotypeHumansLongevityLongitudinal StudiesMaleModels, GeneticPopulationApolipoproteins E

Identifiers

PMID22892531
PMCPMC3598313
OpenAlexW2048406481

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.