Evidence map›Paper›PMID 31780646›Full record

ArticleTranslational psychiatry2019

Childhood intelligence attenuates the association between biological ageing and health outcomes in later life.

Anna J Stevenson, Daniel L McCartney, Robert F Hillary, Paul Redmond, Adele M Taylor, Qian Zhang, Allan F McRae, Tara L Spires-Jones, Andrew M McIntosh, Ian J Deary and 1 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2019. 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
–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

16 citing papers in PubMed.

  1. Review
  2. Translational Geroscience Strategies for Delaying Multimorbidity.ACS pharmacology & translational science · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Aging biomarkers and the brain.Seminars in cell & developmental biology · 2021
    Review
  13. Article
  14. Article
  15. Article
  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.

Anna J StevensonCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
Daniel L McCartneyCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
Robert F HillaryCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
Paul RedmondDepartment for Psychology, University of Edinburgh, Edinburgh, UK.
Adele M TaylorDepartment for Psychology, University of Edinburgh, Edinburgh, UK.
Qian ZhangInstitute for Molecular Bioscience, University of Queensland, Brisbane, QLD, 4072, Australia.
Allan F McRaeInstitute for Molecular Bioscience, University of Queensland, Brisbane, QLD, 4072, Australia.
Tara L Spires-JonesUK Dementia Research Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK.
Andrew M McIntoshDivision of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-0198-4588
Ian J DearyDepartment for Psychology, University of Edinburgh, Edinburgh, UK.
Riccardo E MarioniCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK. riccardo.marioni@ed.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/F019394/1Medical Research Council MR/K026992/1Medical Research Council MR/M01311/1Wellcome TrustWellcome Trust 104036/Z/14/ZWellcome Trust 108890/Z/15/Z
6 · The paper itself

Abstract

The identification of biomarkers that discriminate individual ageing trajectories is a principal target of ageing research. Some of the most promising predictors of biological ageing have been developed using DNA methylation. One recent candidate, which tracks age-related phenotypes in addition to chronological age, is 'DNAm PhenoAge'. Here, we performed a phenome-wide association analysis of this biomarker in a cohort of older adults to assess its relationship with a comprehensive set of both historical, and contemporaneously-measured, phenotypes. Higher than expected DNAm PhenoAge compared with chronological age, known as epigenetic age acceleration, was found to associate with a number of blood, cognitive, physical fitness and lifestyle variables, and with mortality. Notably, DNAm PhenoAge, assessed at age 70, was associated with cognitive ability at age 11, and with educational attainment. Adjusting for age 11 cognitive ability attenuated the majority of the cross-sectional later-life associations between DNAm PhenoAge and health outcomes. These results highlight the importance of early life factors on healthy older ageing.

Indexed as

Educational StatusGenetic Association StudiesHealth StatusAgedAgingBiomarkersChildDNA MethylationEpigenesis, GeneticFemaleHumansIntelligenceLongitudinal StudiesMalePhenotypeBiomarkers

Identifiers

PMID31780646
PMCPMC6883059

What OpenQuestion holds

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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.