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Causal effect of smoking on DNA methylation in peripheral blood: a twin and family study

Overview of attention for article published in Clinical Epigenetics, February 2018
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Title
Causal effect of smoking on DNA methylation in peripheral blood: a twin and family study
Published in
Clinical Epigenetics, February 2018
DOI 10.1186/s13148-018-0452-9
Pubmed ID
Authors

Shuai Li, Ee Ming Wong, Minh Bui, Tuong L. Nguyen, Ji-Hoon Eric Joo, Jennifer Stone, Gillian S. Dite, Graham G. Giles, Richard Saffery, Melissa C. Southey, John L. Hopper

Abstract

Smoking has been reported to be associated with peripheral blood DNA methylation, but the causal aspects of the association have rarely been investigated. We aimed to investigate the association and underlying causation between smoking and blood methylation. The methylation profile of DNA from the peripheral blood, collected as dried blood spots stored on Guthrie cards, was measured for 479 Australian women including 66 monozygotic twin pairs, 66 dizygotic twin pairs, and 215 sisters of twins from 130 twin families using the Infinium HumanMethylation450K BeadChip array. Linear regression was used to estimate associations between methylation at ~ 410,000 cytosine-guanine dinucleotides (CpGs) and smoking status. A regression-based methodology for twins, Inference about Causation through Examination of Familial Confounding (ICE FALCON), was used to assess putative causation. At a 5% false discovery rate, 39 CpGs located at 27 loci, including previously reportedAHRR,F2RL3,2q37.1and6p21.33, were found to be differentially methylated across never, former and current smokers. For all 39 CpG sites, current smokers had the lowest methylation level. Our study provides the first replication for two previously reported CpG sites, cg06226150 (SLC2A4RG) and cg21733098 (12q24.32). From the ICE FALCON analysis with smoking status as the predictor and methylation score as the outcome, a woman's methylation score was associated with her co-twin's smoking status, and the association attenuated towards the null conditioning on her own smoking status, consistent with smoking status causing changes in methylation. To the contrary, using methylation score as the predictor and smoking status as the outcome, a woman's smoking status was not associated with her co-twin's methylation score, consistent with changes in methylation not causing smoking status. For middle-aged women, peripheral blood DNA methylation at several genomic locations is associated with smoking. Our study suggests that smoking has a causal effect on peripheral blood DNA methylation, but not vice versa.

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X Demographics

The data shown below were collected from the profiles of 7 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 33%
Researcher 12 18%
Student > Bachelor 5 8%
Student > Master 5 8%
Student > Doctoral Student 2 3%
Other 6 9%
Unknown 14 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 33%
Medicine and Dentistry 11 17%
Agricultural and Biological Sciences 6 9%
Engineering 3 5%
Nursing and Health Professions 2 3%
Other 5 8%
Unknown 17 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 27 February 2018.
All research outputs
#6,172,096
of 23,023,224 outputs
Outputs from Clinical Epigenetics
#393
of 1,265 outputs
Outputs of similar age
#128,100
of 442,600 outputs
Outputs of similar age from Clinical Epigenetics
#13
of 32 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,265 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 67% 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 442,600 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 32 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 59% of its contemporaries.