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DNA methylation differences at growth related genes correlate with birth weight: a molecular signature linked to developmental origins of adult disease?

Overview of attention for article published in BMC Medical Genomics, April 2012
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Title
DNA methylation differences at growth related genes correlate with birth weight: a molecular signature linked to developmental origins of adult disease?
Published in
BMC Medical Genomics, April 2012
DOI 10.1186/1755-8794-5-10
Pubmed ID
Authors

Turan N, Ghalwash MF, Katari S, Coutifaris C, Obradovic Z, Sapienza C

Abstract

Infant birth weight is a complex quantitative trait associated with both neonatal and long-term health outcomes. Numerous studies have been published in which candidate genes (IGF1, IGF2, IGF2R, IGF binding proteins, PHLDA2 and PLAGL1) have been associated with birth weight, but these studies are difficult to reproduce in man and large cohort studies are needed due to the large inter individual variance in transcription levels. Also, very little of the trait variance is explained. We decided to identify additional candidates without regard for what is known about the genes. We hypothesize that DNA methylation differences between individuals can serve as markers of gene "expression potential" at growth related genes throughout development and that these differences may correlate with birth weight better than single time point measures of gene expression.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 1%
Netherlands 1 1%
Czechia 1 1%
Unknown 97 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 25%
Student > Ph. D. Student 21 21%
Student > Master 12 12%
Unspecified 8 8%
Professor 6 6%
Other 27 27%
Unknown 1 1%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 34%
Medicine and Dentistry 27 27%
Biochemistry, Genetics and Molecular Biology 11 11%
Unspecified 11 11%
Psychology 6 6%
Other 10 10%
Unknown 1 1%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 March 2013.
All research outputs
#9,675,264
of 12,099,160 outputs
Outputs from BMC Medical Genomics
#445
of 563 outputs
Outputs of similar age
#78,716
of 110,076 outputs
Outputs of similar age from BMC Medical Genomics
#6
of 6 outputs
Altmetric has tracked 12,099,160 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 563 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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