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Genetic and Non-Genetic Influences during Pregnancy on Infant Global and Site Specific DNA Methylation: Role for Folate Gene Variants and Vitamin B12

Overview of attention for article published in PLOS ONE, March 2012
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  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

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1 policy source

Citations

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130 Dimensions

Readers on

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174 Mendeley
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1 CiteULike
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Title
Genetic and Non-Genetic Influences during Pregnancy on Infant Global and Site Specific DNA Methylation: Role for Folate Gene Variants and Vitamin B12
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0033290
Pubmed ID
Authors

Jill A. McKay, Alexandra Groom, Catherine Potter, Lisa J. Coneyworth, Dianne Ford, John C. Mathers, Caroline L. Relton

Abstract

Inter-individual variation in patterns of DNA methylation at birth can be explained by the influence of environmental, genetic and stochastic factors. This study investigates the genetic and non-genetic determinants of variation in DNA methylation in human infants. Given its central role in provision of methyl groups for DNA methylation, this study focuses on aspects of folate metabolism. Global (LUMA) and gene specific (IGF2, ZNT5, IGFBP3) DNA methylation were quantified in 430 infants by Pyrosequencing®. Seven polymorphisms in 6 genes (MTHFR, MTRR, FOLH1, CβS, RFC1, SHMT) involved in folate absorption and metabolism were analysed in DNA from both infants and mothers. Red blood cell folate and serum vitamin B(12) concentrations were measured as indices of vitamin status. Relationships between DNA methylation patterns and several covariates viz. sex, gestation length, maternal and infant red cell folate, maternal and infant serum vitamin B(12), maternal age, smoking and genotype were tested. Length of gestation correlated positively with IGF2 methylation (rho = 0.11, p = 0.032) and inversely with ZNT5 methylation (rho = -0.13, p = 0.017). Methylation of the IGFBP3 locus correlated inversely with infant vitamin B(12) concentration (rho = -0.16, p = 0.007), whilst global DNA methylation correlated inversely with maternal vitamin B(12) concentrations (rho = 0.18, p = 0.044). Analysis of common genetic variants in folate pathway genes highlighted several associations including infant MTRR 66G>A genotype with DNA methylation (χ(2) = 8.82, p = 0.003) and maternal MTHFR 677C>T genotype with IGF2 methylation (χ(2) = 2.77, p = 0.006). These data support the hypothesis that both environmental and genetic factors involved in one-carbon metabolism influence DNA methylation in infants. Specifically, the findings highlight the importance of vitamin B(12) status, infant MTRR genotype and maternal MTHFR genotype, all of which may influence the supply of methyl groups for DNA methylation. In addition, gestational length appears to be an important determinant of infant DNA methylation patterns.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 2 1%
United Kingdom 1 <1%
Colombia 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 168 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 22%
Researcher 26 15%
Student > Bachelor 22 13%
Other 19 11%
Student > Master 18 10%
Other 34 20%
Unknown 17 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 27%
Medicine and Dentistry 42 24%
Biochemistry, Genetics and Molecular Biology 28 16%
Psychology 7 4%
Nursing and Health Professions 4 2%
Other 20 11%
Unknown 26 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 January 2015.
All research outputs
#7,431,619
of 22,719,618 outputs
Outputs from PLOS ONE
#88,311
of 193,931 outputs
Outputs of similar age
#52,556
of 160,614 outputs
Outputs of similar age from PLOS ONE
#1,486
of 3,722 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,931 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 160,614 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,722 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 52% of its contemporaries.