Evidence map›Paper›PMID 27321645›Full record

SynthesisExperimental gerontology2016

Telomere length and health outcomes: A two-sample genetic instrumental variables analysis.

Rita Hamad, Stefan Walter, David H Rehkopf

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Experimental gerontology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Article
  3. Genetically Increased Telomere Length and Aging-Related Traits in the U.K. Biobank.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
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  10. Review
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  12. Lifetime socioeconomic status and early life microbial environments predict adult blood telomere length in the Philippines.American journal of human biology : the official journal of the Human Biology Council · 2018
    Article
  13. Article
  14. Article
  15. 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

3 authors at 2 institutions in 1 country.

Rita HamadStanford University, Department of Medicine, 1070 Arastradero Road, Palo Alto, CA 94304, USA. Electronic address: rhamad@stanford.edu.
Stefan WalterUniversity of California San Francisco, Department of Epidemiology & Biostatistics, 550 16th Street, San Francisco, CA 94158, USA.
David H RehkopfStanford University, Department of Medicine, 1070 Arastradero Road, Palo Alto, CA 94304, USA.
Stanford University · USUniversity of California, San Francisco · US

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Spectrum Stanford Center for clinical and Translational Research and EducationKL2TR001083 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$4.9M
Life course contexts and work - quantifying impacts on aging and chronic diseaseK01AG047280 · NIA · STANFORD UNIVERSITY · PI REHKOPF, DAVID H · 2014 to 2018
$632k
NCATS NIH HHS KL2 TR001083NIA NIH HHS K01 AG047280NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

objectivePrevious studies linking telomere length (TL) and health have been largely associational. We apply genetic instrumental variables (IV) analysis, also known as Mendelian randomization, to test the hypothesis that shorter TL leads to poorer health. This method reduces bias from reverse causation or confounding.

methodsWe used two approaches in this study that rely on two separate data sources: (1) individual-level data from the Health and Retirement Study (HRS) (N=3734), and (2) coefficients from genome-wide association studies (GWAS). We employed two-sample genetic IV analyses, constructing a polygenic risk score (PRS) of TL-associated single nucleotide polymorphisms. The first approach examined the association of the PRS with nine individual health outcomes in HRS. The second approach took advantage of estimates available in GWAS databases to estimate the impact of TL on five health outcomes using an inverse variance-weighted meta-analytic technique.

resultsUsing individual-level data, shorter TL was marginally statistically significantly associated with decreased risk of stroke and increased risk of heart disease. Using the meta-analytic approach, shorter TL was associated with increased risk of coronary artery disease (OR 1.02 per 100 base pairs, 95%CI: 1.00, 1.03). DISCUSSION: With the exception of a small contribution to heart disease, our findings suggest that TL may be a marker of disease rather than a cause. They also demonstrate the utility of the inverse variance-weighted meta-analytic approach when examining small effect sizes.

Indexed as

AgedAgingCoronary Artery DiseaseDatabases, FactualFemaleHumansLongitudinal StudiesMaleMiddle AgedMolecular EpidemiologyPolymorphism, Single NucleotideSelf ReportTelomereTelomere HomeostasisUnited StatesAgingCardiovascular diseaseGenetic instrumental variablesMendelian randomizationTelomere length

Identifiers

PMID27321645
PMCPMC4969151
OpenAlexW2434706925

What OpenQuestion holds

Textmetadata
LicenceTDM
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.