Evidence map›Paper›PMID 26487704›Full record

SynthesisPhysiological genomics2016

Gene transcripts associated with muscle strength: a CHARGE meta-analysis of 7,781 persons.

L C Pilling, R Joehanes, T Kacprowski, M Peters, R Jansen, D Karasik, D P Kiel, L W Harries, A Teumer, J Powell and 23 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Physiological genomics, 2016. 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
1.6field-weighted citation impact, top 18% 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, 15 citations in OpenAlex.

  1. Journal of thoracic disease · 2024
    Article
  2. Article
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  5. AAV-Mediated Gene Transfer Restores a Normal Muscle Transcriptome in a Canine Model of X-Linked Myotubular Myopathy.Molecular therapy : the journal of the American Society of Gene Therapy · 2020
    Article
  6. Article
  7. Article
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  9. 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

33 authors at 13 institutions in 6 countries.

L C PillingEpidemiology and Public Health Group, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, United Kingdom;ORCID http://orcid.org/0000-0002-3332-8454
R JoehanesThe National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts; Population Studies Branch, National Heart, Lung, and Blood Institute, Bethesda, Maryland;
T KacprowskiDepartment of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine and Ernst Moritz Arndt University Greifswald, Greifswald, Germany;
M PetersDepartment of Internal Medicine, Erasmus Medical Centre, Rotterdam, The Netherlands; The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, the Netherlands;
R JansenDepartment of Psychiatry, VU University Medical Center, Neuroscience Campus Amsterdam, Amsterdam, the Netherlands;
D KarasikHebrew SeniorLife Institute for Aging Research, Boston, Massachusetts;
D P KielHebrew SeniorLife Institute for Aging Research, Boston, Massachusetts;
L W HarriesRNA mechanisms of complex diseases group, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, United Kingdom;
A TeumerDepartment of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine and Ernst Moritz Arndt University Greifswald, Greifswald, Germany;
J PowellCentre for Neurogenetics and Statistical Genomics, Queensland Brain Institute, University of Queensland, St. Lucia, Brisbane, Australia;
D LevyThe National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts; Population Studies Branch, National Heart, Lung, and Blood Institute, Bethesda, Maryland;
H LinThe National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts; Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts;
K LunettaThe National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts;
P MunsonThe National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts; The Mathematical and Statistical Computing Laboratory, Center for Information Technology, National Institutes of Health, Bethesda, Maryland;
S BandinelliGeriatric Unit, Azienda Sanitaria di Firenze, Florence, Italy;
W HenleyInstitute for Health Services Research, University of Exeter Medical School, Exeter, United Kingdom;
D HernandezLaboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland;
A SingletonLaboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland;
T TanakaClinical Research Branch, National Institute on Aging, Baltimore, Maryland;
G van GrootheestDepartment of Psychiatry, VU University Medical Center, Neuroscience Campus Amsterdam, Amsterdam, the Netherlands;
A HofmanThe Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, the Netherlands; Department of Epidemiology, Erasmus Medical Center Rotterdam, the Netherlands;
A G UitterlindenDepartment of Internal Medicine, Erasmus Medical Centre, Rotterdam, The Netherlands; The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, the Netherlands; Department of Epidemiology, Erasmus Medical Center Rotterdam, the Netherlands;
R BiffarDepartment of Prosthetic Dentistry, Gerostomatology and Dental Materials, University Medicine Greifswald, Greifswald, Germany;
S GläserDepartment of Internal Medicine B - Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University of Greifswald, Greifswald, Germany;
G HomuthDepartment of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine and Ernst Moritz Arndt University Greifswald, Greifswald, Germany;
C MalschDepartment of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine and Ernst Moritz Arndt University Greifswald, Greifswald, Germany;
U VölkerDepartment of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine and Ernst Moritz Arndt University Greifswald, Greifswald, Germany;
B PenninxDepartment of Psychiatry, VU University Medical Center, Neuroscience Campus Amsterdam, Amsterdam, the Netherlands;
J B J van MeursDepartment of Internal Medicine, Erasmus Medical Centre, Rotterdam, The Netherlands; The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, the Netherlands;
L FerrucciClinical Research Branch, National Institute on Aging, Baltimore, Maryland;
T KocherUnit of Periodontology, Department of Restorative Dentistry, Periodontology and Endodontology, University Medicine Greifswald, Greifswald, Germany; and.
J MurabitoThe National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts; General Internal Medicine Section, Boston University, Boston, Massachusetts.
D MelzerEpidemiology and Public Health Group, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, United Kingdom; D.Melzer@exeter.ac.uk.
Universität Greifswald · DEUniversity of Exeter · GBAmsterdam Neuroscience · NLBoston University · USNational Institutes of Health · USUniversitätsmedizin Greifswald · DEErasmus MC · NLHebrew SeniorLife · USNational Heart Lung and Blood Institute · USNational Institute on Aging · USNetherlands Consortium for Healthy Ageing · NLAzienda Sanitaria di Firenze · ITThe University of Queensland · AU

Funding

Framingham Project/LevyZIAHL006001 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI LEVY, DANIEL · 2009 to 2025
$51.1M
RISK FACTORS FOR VERTEBRAL FRACTURE AND BONE LOSSR01AR041398 · NIAMS · RHODE ISLAND HOSPITAL (PROVIDENCE, RI) · PI KIEL, DOUGLAS P. · 1991 to 2025
$16.1M
Statistical And Computational Methods For Gene Expression and Proteomic AnalysisZIACT000266 · CIT · CENTER FOR INFORMATION TECHNOLOGY · PI MUNSON, PETER J · 2009 to 2016
$4.2M
Exceptional Aging Across the Life Span: Framingham StudyR01AG029451 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MURABITO, JOANNE M · 2008 to 2011
$1.3M
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01-HC-25195NIAMS NIH HHS R01 AR041398NIAMS NIH HHS R01 AR-41398NIA NIH HHS R01 AG029451NIA NIH HHS R01AG-029451Wellcome TrustWellcome Trust WT097835MF
6 · The paper itself

Abstract

Lower muscle strength in midlife predicts disability and mortality in later life. Blood-borne factors, including growth differentiation factor 11 (GDF11), have been linked to muscle regeneration in animal models. We aimed to identify gene transcripts associated with muscle strength in adults. Meta-analysis of whole blood gene expression (overall 17,534 unique genes measured by microarray) and hand-grip strength in four independent cohorts (n = 7,781, ages: 20-104 yr, weighted mean = 56), adjusted for age, sex, height, weight, and leukocyte subtypes. Separate analyses were performed in subsets (older/younger than 60, men/women). Expression levels of 221 genes were associated with strength after adjustment for cofactors and for multiple statistical testing, including ALAS2 (rate-limiting enzyme in heme synthesis), PRF1 (perforin, a cytotoxic protein associated with inflammation), IGF1R, and IGF2BP2 (both insulin like growth factor related). We identified statistical enrichment for hemoglobin biosynthesis, innate immune activation, and the stress response. Ten genes were associated only in younger individuals, four in men only and one in women only. For example, PIK3R2 (a negative regulator of PI3K/AKT growth pathway) was negatively associated with muscle strength in younger (<60 yr) individuals but not older (≥ 60 yr). We also show that 115 genes (52%) have not previously been linked to muscle in NCBI PubMed abstracts. This first large-scale transcriptome study of muscle strength in human adults confirmed associations with known pathways and provides new evidence for over half of the genes identified. There may be age- and sex-specific gene expression signatures in blood for muscle strength.

Indexed as

AdultAgedAged, 80 and overAge FactorsAgingCohort StudiesFemaleGene OntologyHeartHumansKneeMaleMiddle AgedMuscle StrengthReproducibility of ResultsRNA, MessengerRNA, Messengerbloodgene-expressionhumanleukocytemusclestrength

Identifiers

PMID26487704
PMCPMC4757025
OpenAlexW1787931835

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.