↓ Skip to main content

Epigenome-wide association study of asthma and wheeze in childhood and adolescence

Overview of attention for article published in Clinical Epigenetics, October 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
76 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
Epigenome-wide association study of asthma and wheeze in childhood and adolescence
Published in
Clinical Epigenetics, October 2017
DOI 10.1186/s13148-017-0414-7
Pubmed ID
Authors

Ryan Arathimos, Matthew Suderman, Gemma C. Sharp, Kimberley Burrows, Raquel Granell, Kate Tilling, Tom R. Gaunt, John Henderson, Susan Ring, Rebecca C. Richmond, Caroline L. Relton

Abstract

Asthma heritability has only been partially explained by genetic variants and is known to be sensitive to environmental factors, implicating epigenetic modifications such as DNA methylation in its pathogenesis. Using data collected in the Avon Longitudinal Study of Parents and Children (ALSPAC), we assessed associations of asthma and wheeze with DNA methylation at 7.5 and 16.5 years, at over 450,000 CpG sites in DNA from the peripheral blood of approx. 1000 participants. We used Mendelian randomization (MR), a method of causal inference that uses genetic variants as instrumental variables, to infer the direction of association between DNA methylation and asthma. We identified 302 CpGs associated with current asthma status (FDR-adjusted P value < 0.05) and 445 with current wheeze status at 7.5 years, with substantial overlap between the two. Genes annotated to the 302 associated CpGs were enriched for pathways related to movement of cellular/subcellular components, locomotion, interleukin-4 production and eosinophil migration. All associations attenuated when adjusted for eosinophil and neutrophil cell count estimates. At 16.5 years, two sites were associated with current asthma after adjustment for cell counts. The CpGs mapped to the AP2A2 and IL5RA genes, with a - 2.32 [95% CI - 1.47, - 3.18] and - 2.49 [95% CI - 1.56, - 3.43] difference in percentage methylation in asthma cases respectively. Two-sample bi-directional MR indicated a causal effect of asthma on DNA methylation at several CpG sites at 7.5 years. However, associations did not persist after adjustment for multiple testing. There was no evidence of a causal effect of asthma on DNA methylation at either of the two CpG sites at 16.5 years. The majority of observed associations are driven by higher eosinophil cell counts in asthma cases, acting as an intermediate phenotype, with important implications for future studies of DNA methylation in atopic diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 18%
Researcher 14 18%
Student > Bachelor 12 16%
Student > Master 8 11%
Student > Postgraduate 5 7%
Other 8 11%
Unknown 15 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 20%
Medicine and Dentistry 15 20%
Agricultural and Biological Sciences 6 8%
Nursing and Health Professions 3 4%
Immunology and Microbiology 2 3%
Other 12 16%
Unknown 23 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 June 2018.
All research outputs
#14,260,790
of 23,972,269 outputs
Outputs from Clinical Epigenetics
#739
of 1,345 outputs
Outputs of similar age
#168,488
of 329,127 outputs
Outputs of similar age from Clinical Epigenetics
#10
of 24 outputs
Altmetric has tracked 23,972,269 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,345 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 329,127 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.