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DNA methylome analysis identifies accelerated epigenetic ageing associated with postmenopausal breast cancer susceptibility

Overview of attention for article published in European Journal of Cancer (1965), February 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
2 blogs
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12 X users
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3 patents
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1 Facebook page

Citations

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152 Dimensions

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197 Mendeley
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Title
DNA methylome analysis identifies accelerated epigenetic ageing associated with postmenopausal breast cancer susceptibility
Published in
European Journal of Cancer (1965), February 2017
DOI 10.1016/j.ejca.2017.01.014
Pubmed ID
Authors

Srikant Ambatipudi, Steve Horvath, Flavie Perrier, Cyrille Cuenin, Hector Hernandez-Vargas, Florence Le Calvez-Kelm, Geoffroy Durand, Graham Byrnes, Pietro Ferrari, Liacine Bouaoun, Athena Sklias, Véronique Chajes, Kim Overvad, Gianluca Severi, Laura Baglietto, Françoise Clavel-Chapelon, Rudolf Kaaks, Myrto Barrdahl, Heiner Boeing, Antonia Trichopoulou, Pagona Lagiou, Androniki Naska, Giovanna Masala, Claudia Agnoli, Silvia Polidoro, Rosario Tumino, Salvatore Panico, Martijn Dollé, Petra H.M. Peeters, N. Charlotte Onland-Moret, Torkjel M. Sandanger, Therese H. Nøst, Elisabete Weiderpass, J. Ramón Quirós, Antonio Agudo, Miguel Rodriguez-Barranco, José María Huerta Castaño, Aurelio Barricarte, Ander Matheu Fernández, Ruth C. Travis, Paolo Vineis, David C. Muller, Elio Riboli, Marc Gunter, Isabelle Romieu, Zdenko Herceg

Abstract

A vast majority of human malignancies are associated with ageing, and age is a strong predictor of cancer risk. Recently, DNA methylation-based marker of ageing, known as 'epigenetic clock', has been linked with cancer risk factors. This study aimed to evaluate whether the epigenetic clock is associated with breast cancer risk susceptibility and to identify potential epigenetics-based biomarkers for risk stratification. Here, we profiled DNA methylation changes in a nested case-control study embedded in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort (n = 960) using the Illumina HumanMethylation 450K BeadChip arrays and used the Horvath age estimation method to calculate epigenetic age for these samples. Intrinsic epigenetic age acceleration (IEAA) was estimated as the residuals by regressing epigenetic age on chronological age. We observed an association between IEAA and breast cancer risk (OR, 1.04; 95% CI, 1.007-1.076, P = 0.016). One unit increase in IEAA was associated with a 4% increased odds of developing breast cancer (OR, 1.04; 95% CI, 1.007-1.076). Stratified analysis based on menopausal status revealed that IEAA was associated with development of postmenopausal breast cancers (OR, 1.07; 95% CI, 1.020-1.11, P = 0.003). In addition, methylome-wide analyses revealed that a higher mean DNA methylation at cytosine-phosphate-guanine (CpG) islands was associated with increased risk of breast cancer development (OR per 1 SD = 1.20; 95 %CI: 1.03-1.40, P = 0.02) whereas mean methylation levels at non-island CpGs were indistinguishable between cancer cases and controls. Epigenetic age acceleration and CpG island methylation have a weak, but statistically significant, association with breast cancer susceptibility.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 197 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 17%
Researcher 26 13%
Student > Master 24 12%
Student > Bachelor 13 7%
Professor 10 5%
Other 35 18%
Unknown 56 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 50 25%
Medicine and Dentistry 32 16%
Agricultural and Biological Sciences 13 7%
Nursing and Health Professions 10 5%
Psychology 3 2%
Other 23 12%
Unknown 66 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 28 February 2023.
All research outputs
#1,692,847
of 26,017,215 outputs
Outputs from European Journal of Cancer (1965)
#359
of 7,081 outputs
Outputs of similar age
#32,425
of 328,515 outputs
Outputs of similar age from European Journal of Cancer (1965)
#6
of 103 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,081 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done particularly well, scoring higher than 94% 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 328,515 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 103 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.