↓ Skip to main content

Developmental pathways to adiposity begin before birth and are influenced by genotype, prenatal environment and epigenome

Overview of attention for article published in BMC Medicine, March 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
36 X users
facebook
1 Facebook page

Citations

dimensions_citation
99 Dimensions

Readers on

mendeley
245 Mendeley
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
Developmental pathways to adiposity begin before birth and are influenced by genotype, prenatal environment and epigenome
Published in
BMC Medicine, March 2017
DOI 10.1186/s12916-017-0800-1
Pubmed ID
Authors

Xinyi Lin, Ives Yubin Lim, Yonghui Wu, Ai Ling Teh, Li Chen, Izzuddin M. Aris, Shu E. Soh, Mya Thway Tint, Julia L. MacIsaac, Alexander M. Morin, Fabian Yap, Kok Hian Tan, Seang Mei Saw, Michael S. Kobor, Michael J. Meaney, Keith M. Godfrey, Yap Seng Chong, Joanna D. Holbrook, Yung Seng Lee, Peter D. Gluckman, Neerja Karnani, on behalf of the GUSTO study group

Abstract

Obesity is an escalating health problem worldwide, and hence the causes underlying its development are of primary importance to public health. There is growing evidence that suboptimal intrauterine environment can perturb the metabolic programing of the growing fetus, thereby increasing the risk of developing obesity in later life. However, the link between early exposures in the womb, genetic susceptibility, and perturbed epigenome on metabolic health is not well understood. In this study, we shed more light on this aspect by performing a comprehensive analysis on the effects of variation in prenatal environment, neonatal methylome, and genotype on birth weight and adiposity in early childhood. In a prospective mother-offspring cohort (N = 987), we interrogated the effects of 30 variables that influence the prenatal environment, umbilical cord DNA methylation, and genotype on offspring weight and adiposity, over the period from birth to 48 months. This is an interim analysis on an ongoing cohort study. Eleven of 30 prenatal environments, including maternal adiposity, smoking, blood glucose and plasma unsaturated fatty acid levels, were associated with birth weight. Polygenic risk scores derived from genetic association studies on adult adiposity were also associated with birth weight and child adiposity, indicating an overlap between the genetic pathways influencing metabolic health in early and later life. Neonatal methylation markers from seven gene loci (ANK3, CDKN2B, CACNA1G, IGDCC4, P4HA3, ZNF423 and MIRLET7BHG) were significantly associated with birth weight, with a subset of these in genes previously implicated in metabolic pathways in humans and in animal models. Methylation levels at three of seven birth weight-linked loci showed significant association with prenatal environment, but none were affected by polygenic risk score. Six of these birth weight-linked loci continued to show a longitudinal association with offspring size and/or adiposity in early childhood. This study provides further evidence that developmental pathways to adiposity begin before birth and are influenced by environmental, genetic and epigenetic factors. These pathways can have a lasting effect on offspring size, adiposity and future metabolic outcomes, and offer new opportunities for risk stratification and prevention of obesity. This birth cohort is a prospective observational study, designed to study the developmental origins of health and disease, and was retrospectively registered on 1 July 2010 under the identifier NCT01174875 .

X Demographics

X Demographics

The data shown below were collected from the profiles of 36 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 245 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 244 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 18%
Researcher 36 15%
Student > Bachelor 30 12%
Student > Master 19 8%
Professor > Associate Professor 14 6%
Other 45 18%
Unknown 56 23%
Readers by discipline Count As %
Medicine and Dentistry 64 26%
Biochemistry, Genetics and Molecular Biology 28 11%
Agricultural and Biological Sciences 19 8%
Nursing and Health Professions 15 6%
Social Sciences 9 4%
Other 38 16%
Unknown 72 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 August 2018.
All research outputs
#1,115,831
of 25,302,890 outputs
Outputs from BMC Medicine
#797
of 3,981 outputs
Outputs of similar age
#22,301
of 314,350 outputs
Outputs of similar age from BMC Medicine
#17
of 66 outputs
Altmetric has tracked 25,302,890 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,981 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.6. This one has done well, scoring higher than 80% 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 314,350 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 92% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.