Evidence map›Paper›PMID 29444805›Full record

SynthesisGenetics2018

A Reassessment of Genes Modulating Aging in Mice Using Demographic Measurements of the Rate of Aging.

João Pedro de Magalhães, Louise Thompson, Izabella de Lima, Dale Gaskill, Xiaoyu Li, Daniel Thornton, Chenhao Yang, Daniel Palmer

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Ageing as a software design flaw.Genome biology · 2023
    Review
  2. Article
  3. Rejuvenation: Turning Back Time by Enhancing CISD2.International journal of molecular sciences · 2022
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Measuring and modeling interventions in aging.Current opinion in cell biology · 2018
    Review
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

8 authors at 2 institutions in 1 country.

João Pedro de MagalhãesIntegrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, L7 8TX, United Kingdom jp@senescence.info.ORCID 0000-0002-6363-2465
Louise ThompsonIntegrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, L7 8TX, United Kingdom.
Izabella de LimaIntegrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, L7 8TX, United Kingdom.
Dale GaskillIntegrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, L7 8TX, United Kingdom.
Xiaoyu LiIntegrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, L7 8TX, United Kingdom.
Daniel ThorntonIntegrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, L7 8TX, United Kingdom.
Chenhao YangIntegrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, L7 8TX, United Kingdom.
Daniel PalmerIntegrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, L7 8TX, United Kingdom.
Genomics (United Kingdom) · GBUniversity of Liverpool · GB

Funding

Wellcome Trust 104978/Z/14/Z
6 · The paper itself

Abstract

Many studies have reported genetic interventions that have an effect on mouse life span; however, it is crucial to discriminate between manipulations of aging and aging-independent causes of life extension. Here, we used the Gompertz equation to determine whether previously reported aging-related mouse genes statistically affect the demographic rate of aging. Of 30 genetic manipulations previously reported to extend life span, for only two we found evidence of retarding demographic aging:

Indexed as

Gene Expression RegulationModels, GeneticAgingAllelesAnimalsDatabases, GeneticGenetic Association StudiesGenotypeLongevityMiceProgeriaProportional Hazards ModelsSurvival Analysishazard ratelongevitymeta-analysisMus musculusprogeriasurvival

Identifiers

PMID29444805
PMCPMC5887152
OpenAlexW2788820942

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.