Evidence map›Paper›PMID 28418400›Full record

SynthesisTranslational psychiatry2017

Short telomere length is associated with impaired cognitive performance in European ancestry cohorts.

S Hägg, Y Zhan, R Karlsson, L Gerritsen, A Ploner, S J van der Lee, L Broer, J Deelen, R E Marioni, A Wong and 36 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Translational psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 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

52 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Telomere Length Change in a Multidomain Lifestyle Intervention to Prevent Cognitive Decline: A Randomized Clinical Trial.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
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  8. Article
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  10. Observational
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  13. Lessons we learned from the Lothian Birth Cohorts of 1921 and 1936.Genomic psychiatry : advancing science from genes to society · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. 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

46 authors.

S HäggDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Y ZhanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
R KarlssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
L GerritsenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
A PlonerDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
S J van der LeeDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
L BroerDepartment of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.
J DeelenDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
R E MarioniCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
A WongMRC Unit for Lifelong Health and Ageing at UCL, London, UK.
A LundquistDepartment of Statistics, Umeå University, Umeå, Sweden.
G ZhuQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
N K HansellQueensland Brain Institute, University of Queensland, Brisbane, QLD, Australia.
E SillanpääGerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
I O FedkoDepartment Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.
N A AminDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
M BeekmanDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
A J M de CraenDepartment of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.
S DegermanDepartment of Medical Biosciences, Umeå University, Umeå, Sweden.
S E HarrisCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
K-J KanDepartment Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.
C M Martin-RuizNIHR Newcastle Biomedical Research Centre & Unit, Institute of Neurosciences, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK.
G W MontgomeryQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
NeuroCHARGE Cognitive Working Group
A N AdolfssonDepartment of Clinical Sciences, Umeå University, Umeå, Sweden.
C A ReynoldsDepartment of Psychology, University California Riverside, Riverside, CA, USA.
N J SamaniDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
H E D SuchimanDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
A ViljanenGerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
T von ZglinickiNewcastle University Institute for Ageing, Institute for Cell & Molecular Biosciences, Newcastle upon Tyne, UK.
M J WrightQueensland Brain Institute, University of Queensland, Brisbane, QLD, Australia.
J-J HottengaDepartment Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.
D I BoomsmaDepartment Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.
T RantanenGerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
J A KaprioDepartment of Public Health, Clincum, University of Helsinki, Helsinki, Finland.
D R NyholtQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
N G MartinQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
L NybergDepartment of Radiation Sciences, Umeå University, Umeå, Sweden.
R AdolfssonDepartment of Clinical Sciences, Umeå University, Umeå, Sweden.
D KuhMRC Unit for Lifelong Health and Ageing at UCL, London, UK.
J M StarrCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
I J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
P E SlagboomDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
C M van DuijnDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
V CoddDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
N L PedersenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Funding

CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
CHS research resources for the cardiovascular health of older adultsU01HL130114 · NHLBI · UNIVERSITY OF WASHINGTON · PI BURKE, GREGORY L, KRONMAL, RICHARD A · 2016 to 2019
$6.6M
Collaborative GWAS of Dementia, AD and related MRI and Cognitive EndophenotypesR01AG033193 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI SESHADRI, SUDHA · 2009 to 2016
$4.4M
Biotechnology and Biological Sciences Research Council BB/F019394/1Medical Research Council G0500997Medical Research Council G0601333Medical Research Council MC_UU_12019/1Medical Research Council MR/J50001X/1Medical Research Council MR/K026992/1NHLBI NIH HHS R01 HL105756NHLBI NIH HHS U01 HL130114NIA NIH HHS R01 AG033193
6 · The paper itself

Abstract

The association between telomere length (TL) dynamics on cognitive performance over the life-course is not well understood. This study meta-analyses observational and causal associations between TL and six cognitive traits, with stratifications on APOE genotype, in a Mendelian Randomization (MR) framework. Twelve European cohorts (N=17 052; mean age=59.2±8.8 years) provided results for associations between qPCR-measured TL (T/S-ratio scale) and general cognitive function, mini-mental state exam (MMSE), processing speed by digit symbol substitution test (DSST), visuospatial functioning, memory and executive functioning (STROOP). In addition, a genetic risk score (GRS) for TL including seven known genetic variants for TL was calculated, and used in associations with cognitive traits as outcomes in all cohorts. Observational analyses showed that longer telomeres were associated with better scores on DSST (β=0.051 per s.d.-increase of TL; 95% confidence interval (CI): 0.024, 0.077; P=0.0002), and MMSE (β=0.025; 95% CI: 0.002, 0.047; P=0.03), and faster STROOP (β=-0.053; 95% CI: -0.087, -0.018; P=0.003). Effects for DSST were stronger in APOE ɛ4 non-carriers (β=0.081; 95% CI: 0.045, 0.117; P=1.0 × 10

Indexed as

Mendelian Randomization AnalysisAdultAgedApolipoprotein E4Cognitive DysfunctionCohort StudiesFemaleGenetic Carrier ScreeningGenotypeHumansMaleMiddle AgedNeuropsychological TestsPsychometricsStatistics as TopicTelomereApolipoprotein E4

Identifiers

PMID28418400
PMCPMC5416710

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Registered trials

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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.