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DNA Methylation in Newborns and Maternal Smoking in Pregnancy: Genome-wide Consortium Meta-analysis

Overview of attention for article published in American Journal of Human Genetics, March 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#21 of 5,896)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
49 news outlets
blogs
7 blogs
policy
2 policy sources
twitter
93 X users
patent
1 patent
facebook
24 Facebook pages
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
713 Dimensions

Readers on

mendeley
684 Mendeley
citeulike
4 CiteULike
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Title
DNA Methylation in Newborns and Maternal Smoking in Pregnancy: Genome-wide Consortium Meta-analysis
Published in
American Journal of Human Genetics, March 2016
DOI 10.1016/j.ajhg.2016.02.019
Pubmed ID
Authors

Bonnie R. Joubert, Janine F. Felix, Paul Yousefi, Kelly M. Bakulski, Allan C. Just, Carrie Breton, Sarah E. Reese, Christina A. Markunas, Rebecca C. Richmond, Cheng-Jian Xu, Leanne K. Küpers, Sam S. Oh, Cathrine Hoyo, Olena Gruzieva, Cilla Söderhäll, Lucas A. Salas, Nour Baïz, Hongmei Zhang, Johanna Lepeule, Carlos Ruiz, Symen Ligthart, Tianyuan Wang, Jack A. Taylor, Liesbeth Duijts, Gemma C. Sharp, Soesma A. Jankipersadsing, Roy M. Nilsen, Ahmad Vaez, M. Daniele Fallin, Donglei Hu, Augusto A. Litonjua, Bernard F. Fuemmeler, Karen Huen, Juha Kere, Inger Kull, Monica Cheng Munthe-Kaas, Ulrike Gehring, Mariona Bustamante, Marie José Saurel-Coubizolles, Bilal M. Quraishi, Jie Ren, Jörg Tost, Juan R. Gonzalez, Marjolein J. Peters, Siri E. Håberg, Zongli Xu, Joyce B. van Meurs, Tom R. Gaunt, Marjan Kerkhof, Eva Corpeleijn, Andrew P. Feinberg, Celeste Eng, Andrea A. Baccarelli, Sara E. Benjamin Neelon, Asa Bradman, Simon Kebede Merid, Anna Bergström, Zdenko Herceg, Hector Hernandez-Vargas, Bert Brunekreef, Mariona Pinart, Barbara Heude, Susan Ewart, Jin Yao, Nathanaël Lemonnier, Oscar H. Franco, Michael C. Wu, Albert Hofman, Wendy McArdle, Pieter Van der Vlies, Fahimeh Falahi, Matthew W. Gillman, Lisa F. Barcellos, Ashish Kumar, Magnus Wickman, Stefano Guerra, Marie-Aline Charles, John Holloway, Charles Auffray, Henning W. Tiemeier, George Davey Smith, Dirkje Postma, Marie-France Hivert, Brenda Eskenazi, Martine Vrijheid, Hasan Arshad, Josep M. Antó, Abbas Dehghan, Wilfried Karmaus, Isabella Annesi-Maesano, Jordi Sunyer, Akram Ghantous, Göran Pershagen, Nina Holland, Susan K. Murphy, Dawn L. DeMeo, Esteban G. Burchard, Christine Ladd-Acosta, Harold Snieder, Wenche Nystad, Gerard H. Koppelman, Caroline L. Relton, Vincent W.V. Jaddoe, Allen Wilcox, Erik Melén, Stephanie J. London

Abstract

Epigenetic modifications, including DNA methylation, represent a potential mechanism for environmental impacts on human disease. Maternal smoking in pregnancy remains an important public health problem that impacts child health in a myriad of ways and has potential lifelong consequences. The mechanisms are largely unknown, but epigenetics most likely plays a role. We formed the Pregnancy And Childhood Epigenetics (PACE) consortium and meta-analyzed, across 13 cohorts (n = 6,685), the association between maternal smoking in pregnancy and newborn blood DNA methylation at over 450,000 CpG sites (CpGs) by using the Illumina 450K BeadChip. Over 6,000 CpGs were differentially methylated in relation to maternal smoking at genome-wide statistical significance (false discovery rate, 5%), including 2,965 CpGs corresponding to 2,017 genes not previously related to smoking and methylation in either newborns or adults. Several genes are relevant to diseases that can be caused by maternal smoking (e.g., orofacial clefts and asthma) or adult smoking (e.g., certain cancers). A number of differentially methylated CpGs were associated with gene expression. We observed enrichment in pathways and processes critical to development. In older children (5 cohorts, n = 3,187), 100% of CpGs gave at least nominal levels of significance, far more than expected by chance (p value < 2.2 × 10(-16)). Results were robust to different normalization methods used across studies and cell type adjustment. In this large scale meta-analysis of methylation data, we identified numerous loci involved in response to maternal smoking in pregnancy with persistence into later childhood and provide insights into mechanisms underlying effects of this important exposure.

X Demographics

X Demographics

The data shown below were collected from the profiles of 93 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 684 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Netherlands 2 <1%
Spain 2 <1%
Finland 1 <1%
France 1 <1%
Sweden 1 <1%
Canada 1 <1%
Unknown 673 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 116 17%
Researcher 99 14%
Student > Master 72 11%
Student > Bachelor 63 9%
Student > Postgraduate 43 6%
Other 136 20%
Unknown 155 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 127 19%
Medicine and Dentistry 118 17%
Agricultural and Biological Sciences 78 11%
Nursing and Health Professions 44 6%
Psychology 22 3%
Other 104 15%
Unknown 191 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 484. 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 19 October 2023.
All research outputs
#55,123
of 25,503,365 outputs
Outputs from American Journal of Human Genetics
#21
of 5,896 outputs
Outputs of similar age
#1,042
of 315,599 outputs
Outputs of similar age from American Journal of Human Genetics
#3
of 61 outputs
Altmetric has tracked 25,503,365 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,896 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done particularly well, scoring higher than 99% 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 315,599 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 99% of its contemporaries.
We're also able to compare this research output to 61 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 96% of its contemporaries.