| 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 |
Nahid Turan, Mohamed F Ghalwash, Sunita Katari, Christos Coutifaris, Zoran Obradovic, Carmen Sapienza |
| 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| Czechia | 1 | <1% |
| Italy | 1 | <1% |
| Unknown | 124 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 24% |
| Student > Ph. D. Student | 25 | 20% |
| Student > Master | 14 | 11% |
| Student > Bachelor | 12 | 9% |
| Professor > Associate Professor | 7 | 6% |
| Other | 24 | 19% |
| Unknown | 15 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 31% |
| Medicine and Dentistry | 28 | 22% |
| Biochemistry, Genetics and Molecular Biology | 15 | 12% |
| Psychology | 7 | 6% |
| Nursing and Health Professions | 5 | 4% |
| Other | 13 | 10% |
| Unknown | 20 | 16% |
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
#20,880,816
of 25,654,806 outputs
Outputs from BMC Medical Genomics
#1,690
of 2,455 outputs
Outputs of similar age
#136,367
of 174,584 outputs
Outputs of similar age from BMC Medical Genomics
#19
of 26 outputs
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