Evidence map›Paper›PMID 33959723›Full record

ArticleNature aging2021

Common genetic associations between age-related diseases.

Handan Melike Dönertaş, Daniel K Fabian, Matías Fuentealba Valenzuela, Linda Partridge, Janet M Thornton

Abstract read
In one paragraph

Article in Nature aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 225 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
225citing papers in PubMed, 14 pooled it
–field-weighted citation impact
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

225 citing papers in PubMed, 14 syntheses or guidelines pooled it.

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165 more citing papers are in PubMed but not listed here.

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

5 authors.

Handan Melike DönertaşEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Daniel K FabianEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Matías Fuentealba ValenzuelaEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Linda PartridgeInstitute of Healthy Aging, Department of Genetics, Evolution and Environment, University College London, London, UK.
Janet M ThorntonEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Wellcome Trust 098565
6 · The paper itself

Abstract

Age is a common risk factor in many diseases, but the molecular basis for this relationship is elusive. In this study we identified 4 disease clusters from 116 diseases in the UK Biobank data, defined by their age-of-onset profiles, and found that diseases with the same onset profile are genetically more similar, suggesting a common etiology. This similarity was not explained by disease categories, co-occurrences or disease cause-effect relationships. Two of the four disease clusters had an increased risk of occurrence from age 20 and 40 years respectively. They both showed an association with known aging-related genes, yet differed in functional enrichment and evolutionary profiles. Moreover, they both had age-related expression and methylation changes. We also tested mutation accumulation and antagonistic pleiotropy theories of aging and found support for both.

Indexed as

Biological EvolutionMutation AccumulationRisk Factorsage-related diseaseAgingantagonistic pleiotropyGWASmutation accumulationUK Biobank

Identifiers

PMID33959723
PMCPMC7610725

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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.