| Title |
GLI2 promoter hypermethylation in saliva of children with a respiratory allergy
|
|---|---|
| Published in |
Clinical Epigenetics, April 2018
|
| DOI | 10.1186/s13148-018-0484-1 |
| Pubmed ID | |
| Authors |
Sabine A. S. Langie, Matthieu Moisse, Katarzyna Szarc vel Szic, Ellen Van Der Plas, Gudrun Koppen, Sofie De Prins, Tijs Louwies, Vera Nelen, Guy Van Camp, Diether Lambrechts, Greet Schoeters, Wim Vanden Berghe, Patrick De Boever |
| Abstract |
The prevalence of respiratory allergy in children is increasing. Epigenetic DNA methylation changes are plausible underlying molecular mechanisms. Saliva samples collected in substudies of two longitudinal birth cohorts in Belgium (FLEHS1 & FLEHS2) were used to discover and confirm DNA methylation signatures that can differentiate individuals with respiratory allergy from healthy subjects. Genome-wide analysis with Illumina Methylation 450K BeadChips revealed 23 differentially methylated gene regions (DMRs) in saliva from 11y old allergic children (N=26) vs. controls (N=20) in FLEHS1. A subset of 7 DMRs was selected for confirmation by iPLEX MassArray analysis. First, iPLEX analysis was performed in the same 46 FLEHS1 samples for analytical confirmation of the findings obtained during the discovery phase. iPLEX results correlated significantly with the 450K array data (P <0.0001) and confirmed 4 out of the 7 DMRs. Aiming for additional biological confirmation, the 7 DMRs were analyzed using iPLEX in a substudy of an independent birth cohort (FLEHS2; N=19 cases vs. 20 controls, aged 5 years). One DMR in the GLI2 promoter region showed a consistent statistically significant hypermethylation in individuals with respiratory allergy across the two birth cohorts and technologies. In addition to its involvement in TGF-β signaling and T-helper differentiation, GLI2 has a regulating role in lung development. GLI2 is considered an interesting candidate DNA methylation marker for respiratory allergy. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 3 | 75% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 25% |
| Researcher | 5 | 21% |
| Student > Master | 3 | 13% |
| Student > Doctoral Student | 1 | 4% |
| Professor | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 5 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 17% |
| Medicine and Dentistry | 3 | 13% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Environmental Science | 2 | 8% |
| Nursing and Health Professions | 1 | 4% |
| Other | 5 | 21% |
| Unknown | 6 | 25% |
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 06 December 2018.
All research outputs
#13,207,462
of 23,379,207 outputs
Outputs from Clinical Epigenetics
#637
of 1,292 outputs
Outputs of similar age
#159,430
of 330,185 outputs
Outputs of similar age from Clinical Epigenetics
#18
of 31 outputs
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