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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Distinct DNA methylation profiles in subtypes of orofacial cleft
|
|---|---|
| Published in |
Clinical Epigenetics, June 2017
|
| DOI | 10.1186/s13148-017-0362-2 |
| Pubmed ID | |
| Authors |
Gemma C. Sharp, Karen Ho, Amy Davies, Evie Stergiakouli, Kerry Humphries, Wendy McArdle, Jonathan Sandy, George Davey Smith, Sarah J. Lewis, Caroline L. Relton |
| Abstract |
Epigenetic data could help identify risk factors for orofacial clefts, either by revealing a causal role for epigenetic mechanisms in causing clefts or by capturing information about causal genetic or environmental factors. Given the evidence that different subtypes of orofacial cleft have distinct aetiologies, we explored whether children with different cleft subtypes showed distinct epigenetic profiles. In whole-blood samples from 150 children from the Cleft Collective cohort study, we measured DNA methylation at over 450,000 sites on the genome. We then carried out epigenome-wide association studies (EWAS) to test the association between methylation at each site and cleft subtype (cleft lip only (CLO) n = 50; cleft palate only (CPO) n = 50; cleft lip and palate (CLP) n = 50). We also compared methylation in the blood to methylation in the lip or palate tissue using genome-wide data from the same 150 children and conducted an EWAS of CLO compared to CLP in lip tissue. We found four genomic regions in blood differentially methylated in CLO compared to CLP, 17 in CPO compared to CLP and 294 in CPO compared to CLO. Several regions mapped to genes that have previously been implicated in the development of orofacial clefts (for example, TBX1, COL11A2, HOXA2, PDGFRA), and over 250 associations were novel. Methylation in blood correlated with that in lip/palate at some regions. There were 14 regions differentially methylated in the lip tissue from children with CLO and CLP, with one region (near KIAA0415) showing up in both the blood and lip EWAS. Our finding of distinct methylation profiles in different orofacial cleft (OFC) subtypes represents a promising first step in exploring the potential role of epigenetic modifications in the aetiology of OFCs and/or as clinically useful biomarkers of OFC subtypes. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 40% |
| Denmark | 1 | 20% |
| Spain | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 88 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 15% |
| Researcher | 9 | 10% |
| Student > Doctoral Student | 8 | 9% |
| Student > Postgraduate | 7 | 8% |
| Other | 5 | 6% |
| Other | 18 | 20% |
| Unknown | 28 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 30% |
| Biochemistry, Genetics and Molecular Biology | 16 | 18% |
| Unspecified | 3 | 3% |
| Computer Science | 3 | 3% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 8 | 9% |
| Unknown | 29 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 26 June 2017.
All research outputs
#1,354,902
of 22,979,862 outputs
Outputs from Clinical Epigenetics
#63
of 1,262 outputs
Outputs of similar age
#29,108
of 317,335 outputs
Outputs of similar age from Clinical Epigenetics
#1
of 29 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 95% 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 317,335 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 90% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.