↓ Skip to main content

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

Overview of attention for article published in Physiological Genomics, October 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog
twitter
17 X users
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
90 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Gene transcripts associated with muscle strength: a CHARGE meta-analysis of 7,781 persons
Published in
Physiological Genomics, October 2015
DOI 10.1152/physiolgenomics.00054.2015
Pubmed ID
Authors

L C Pilling, R Joehanes, T Kacprowski, M Peters, R Jansen, D Karasik, D P Kiel, L W Harries, A Teumer, J Powell, D Levy, H Lin, K Lunetta, P Munson, S Bandinelli, W Henley, D Hernandez, A Singleton, T Tanaka, G van Grootheest, A Hofman, A G Uitterlinden, R Biffar, S Gläser, G Homuth, C Malsch, U Völker, B Penninx, J B J van Meurs, L Ferrucci, T Kocher, J Murabito, D Melzer

Abstract

Lower muscle strength in midlife predicts disability and mortality in later life. Bloodborne 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 years, weighted mean=56), adjusted for age, sex, height, weight, and leukocyte subtypes. Separate analyses were performed in subsets (older/younger than 60, male/female). 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 only associated in younger individuals, four in males only and one in females only. For example PIK3R2 (a negative regulator of PI3K/AKT growth pathway) was negatively associated with muscle strength in younger (<60 years) individuals but not older (>=60 years). We also show that 115 genes (52%) have not previously been linked to muscle in NCBI PubMed abstracts Conclusions: 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Unknown 89 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 19%
Professor 10 11%
Student > Ph. D. Student 9 10%
Student > Master 8 9%
Student > Bachelor 6 7%
Other 17 19%
Unknown 23 26%
Readers by discipline Count As %
Medicine and Dentistry 20 22%
Biochemistry, Genetics and Molecular Biology 10 11%
Agricultural and Biological Sciences 6 7%
Nursing and Health Professions 6 7%
Computer Science 5 6%
Other 15 17%
Unknown 28 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 January 2016.
All research outputs
#2,069,689
of 25,726,194 outputs
Outputs from Physiological Genomics
#56
of 1,151 outputs
Outputs of similar age
#28,794
of 295,240 outputs
Outputs of similar age from Physiological Genomics
#3
of 19 outputs
Altmetric has tracked 25,726,194 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 295,240 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.