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Maternal BMI at the start of pregnancy and offspring epigenome-wide DNA methylation: findings from the pregnancy and childhood epigenetics (PACE) consortium

Overview of attention for article published in Human Molecular Genetics, July 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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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1 policy source
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17 X users

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189 Dimensions

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Title
Maternal BMI at the start of pregnancy and offspring epigenome-wide DNA methylation: findings from the pregnancy and childhood epigenetics (PACE) consortium
Published in
Human Molecular Genetics, July 2017
DOI 10.1093/hmg/ddx290
Pubmed ID
Authors

Gemma C Sharp, Lucas A Salas, Claire Monnereau, Catherine Allard, Paul Yousefi, Todd M Everson, Jon Bohlin, Zongli Xu, Rae-Chi Huang, Sarah E Reese, Cheng-Jian Xu, Nour Baïz, Cathrine Hoyo, Golareh Agha, Ritu Roy, John W Holloway, Akram Ghantous, Simon K Merid, Kelly M Bakulski, Leanne K Küpers, Hongmei Zhang, Rebecca C Richmond, Christian M Page, Liesbeth Duijts, Rolv T Lie, Phillip E Melton, Judith M Vonk, Ellen A Nohr, ClarLynda Williams-DeVane, Karen Huen, Sheryl L Rifas-Shiman, Carlos Ruiz-Arenas, Semira Gonseth, Faisal I Rezwan, Zdenko Herceg, Sandra Ekström, Lisa Croen, Fahimeh Falahi, Patrice Perron, Margaret R Karagas, Bilal M Quraishi, Matthew Suderman, Maria C Magnus, Vincent W V Jaddoe, Jack A Taylor, Denise Anderson, Shanshan Zhao, Henriette A Smit, Michele J Josey, Asa Bradman, Andrea A Baccarelli, Mariona Bustamante, Siri E Håberg, Göran Pershagen, Irva Hertz-Picciotto, Craig Newschaffer, Eva Corpeleijn, Luigi Bouchard, Debbie A Lawlor, Rachel L Maguire, Lisa F Barcellos, George Davey Smith, Brenda Eskenazi, Wilfried Karmaus, Carmen J Marsit, Marie-France Hivert, Harold Snieder, M Daniele Fallin, Erik Melén, Monica C Munthe-Kaas, Hasan Arshad, Joseph L Wiemels, Isabella Annesi-Maesano, Martine Vrijheid, Emily Oken, Nina Holland, Susan K Murphy, Thorkild I A Sørensen, Gerard H Koppelman, John P Newnham, Allen J Wilcox, Wenche Nystad, Stephanie J London, Janine F Felix, Caroline L Relton

Abstract

Pre-pregnancy maternal obesity is associated with adverse offspring outcomes at birth and later in life. Individual studies have shown that epigenetic modifications such as DNA methylation could contribute. Within the Pregnancy and Childhood Epigenetics (PACE) Consortium, we meta-analysed the association between pre-pregnancy maternal BMI and methylation at over 450,000 sites in newborn blood DNA, across 19 cohorts (9,340 mother-newborn pairs). We attempted to infer causality by comparing the effects of maternal versus paternal BMI and incorporating genetic variation. In four additional cohorts (1,817 mother-child pairs), we meta-analysed the association between maternal BMI at the start of pregnancy and blood methylation in adolescents. In newborns, maternal BMI was associated with small (<0.2% per BMI unit (1 kg/m2), P < 1.06 × 10-7) methylation variation at 9,044 sites throughout the genome. Adjustment for estimated cell proportions greatly attenuated the number of significant CpGs to 104, including 86 sites common to the unadjusted model. At 72/86 sites, the direction of the association was the same in newborns and adolescents, suggesting persistence of signals. However, we found evidence for acausal intrauterine effect of maternal BMI on newborn methylation at just 8/86 sites. In conclusion, this well-powered analysis identified robust associations between maternal adiposity and variations in newborn blood DNA methylation, but these small effects may be better explained by genetic or lifestyle factors than a causal intrauterine mechanism. This highlights the need for large-scale collaborative approaches and the application of causal inference techniques in epigenetic epidemiology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 343 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 343 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 56 16%
Student > Master 41 12%
Student > Ph. D. Student 39 11%
Student > Bachelor 35 10%
Student > Doctoral Student 13 4%
Other 43 13%
Unknown 116 34%
Readers by discipline Count As %
Medicine and Dentistry 61 18%
Biochemistry, Genetics and Molecular Biology 39 11%
Nursing and Health Professions 26 8%
Agricultural and Biological Sciences 22 6%
Psychology 16 5%
Other 43 13%
Unknown 136 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 09 September 2021.
All research outputs
#3,088,847
of 25,754,670 outputs
Outputs from Human Molecular Genetics
#1,029
of 8,300 outputs
Outputs of similar age
#53,434
of 325,676 outputs
Outputs of similar age from Human Molecular Genetics
#16
of 110 outputs
Altmetric has tracked 25,754,670 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,300 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done well, scoring higher than 87% 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 325,676 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 83% of its contemporaries.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.