↓ Skip to main content

DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases

Overview of attention for article published in Genome Biology (Online Edition), December 2016
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 (89th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
30 tweeters

Citations

dimensions_citation
112 Dimensions

Readers on

mendeley
210 Mendeley
citeulike
2 CiteULike
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
DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases
Published in
Genome Biology (Online Edition), December 2016
DOI 10.1186/s13059-016-1119-5
Pubmed ID
Authors

Symen Ligthart, Carola Marzi, Stella Aslibekyan, Michael M. Mendelson, Karen N. Conneely, Toshiko Tanaka, Elena Colicino, Lindsay L. Waite, Roby Joehanes, Weihua Guan, Jennifer A. Brody, Cathy Elks, Riccardo Marioni, Min A. Jhun, Golareh Agha, Jan Bressler, Cavin K. Ward-Caviness, Brian H. Chen, Tianxiao Huan, Kelly Bakulski, Elias L. Salfati, Giovanni Fiorito, Simone Wahl, Katharina Schramm, Jin Sha, Dena G. Hernandez, Allan C. Just, Jennifer A. Smith, Nona Sotoodehnia, Luke C. Pilling, James S. Pankow, Phil S. Tsao, Chunyu Liu, Wei Zhao, Simonetta Guarrera, Vasiliki J. Michopoulos, Alicia K. Smith, Marjolein J. Peters, David Melzer, Pantel Vokonas, Myriam Fornage, Holger Prokisch, Joshua C. Bis, Audrey Y. Chu, Christian Herder, Harald Grallert, Chen Yao, Sonia Shah, Allan F. McRae, Honghuang Lin, Steve Horvath, Daniele Fallin, Albert Hofman, Nicholas J. Wareham, Kerri L. Wiggins, Andrew P. Feinberg, John M. Starr, Peter M. Visscher, Joanne M. Murabito, Sharon L. R. Kardia, Devin M. Absher, Elisabeth B. Binder, Andrew B. Singleton, Stefania Bandinelli, Annette Peters, Melanie Waldenberger, Giuseppe Matullo, Joel D. Schwartz, Ellen W. Demerath, André G. Uitterlinden, Joyce B. J. van Meurs, Oscar H. Franco, Yii-Der Ida Chen, Daniel Levy, Stephen T. Turner, Ian J. Deary, Kerry J. Ressler, Josée Dupuis, Luigi Ferrucci, Ken K. Ong, Themistocles L. Assimes, Eric Boerwinkle, Wolfgang Koenig, Donna K. Arnett, Andrea A. Baccarelli, Emelia J. Benjamin, Abbas Dehghan

Abstract

Chronic low-grade inflammation reflects a subclinical immune response implicated in the pathogenesis of complex diseases. Identifying genetic loci where DNA methylation is associated with chronic low-grade inflammation may reveal novel pathways or therapeutic targets for inflammation. We performed a meta-analysis of epigenome-wide association studies (EWAS) of serum C-reactive protein (CRP), which is a sensitive marker of low-grade inflammation, in a large European population (n = 8863) and trans-ethnic replication in African Americans (n = 4111). We found differential methylation at 218 CpG sites to be associated with CRP (P < 1.15 × 10(-7)) in the discovery panel of European ancestry and replicated (P < 2.29 × 10(-4)) 58 CpG sites (45 unique loci) among African Americans. To further characterize the molecular and clinical relevance of the findings, we examined the association with gene expression, genetic sequence variants, and clinical outcomes. DNA methylation at nine (16%) CpG sites was associated with whole blood gene expression in cis (P < 8.47 × 10(-5)), ten (17%) CpG sites were associated with a nearby genetic variant (P < 2.50 × 10(-3)), and 51 (88%) were also associated with at least one related cardiometabolic entity (P < 9.58 × 10(-5)). An additive weighted score of replicated CpG sites accounted for up to 6% inter-individual variation (R2) of age-adjusted and sex-adjusted CRP, independent of known CRP-related genetic variants. We have completed an EWAS of chronic low-grade inflammation and identified many novel genetic loci underlying inflammation that may serve as targets for the development of novel therapeutic interventions for inflammation.

Twitter Demographics

The data shown below were collected from the profiles of 30 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 209 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 52 25%
Student > Ph. D. Student 40 19%
Student > Master 23 11%
Student > Bachelor 15 7%
Professor 11 5%
Other 36 17%
Unknown 33 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 20%
Medicine and Dentistry 38 18%
Agricultural and Biological Sciences 27 13%
Neuroscience 10 5%
Psychology 9 4%
Other 27 13%
Unknown 57 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 17 July 2017.
All research outputs
#1,180,725
of 15,754,679 outputs
Outputs from Genome Biology (Online Edition)
#1,197
of 3,380 outputs
Outputs of similar age
#39,399
of 389,006 outputs
Outputs of similar age from Genome Biology (Online Edition)
#134
of 262 outputs
Altmetric has tracked 15,754,679 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,380 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.5. This one has gotten more attention than average, scoring higher than 64% 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 389,006 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 262 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.