| Title |
Genome-wide DNA methylation map of human neutrophils reveals widespread inter-individual epigenetic variation
|
|---|---|
| Published in |
Scientific Reports, November 2015
|
| DOI | 10.1038/srep17328 |
| Pubmed ID | |
| Authors | |
| Abstract |
The extent of variation in DNA methylation patterns in healthy individuals is not yet well documented. Identification of inter-individual epigenetic variation is important for understanding phenotypic variation and disease susceptibility. Using neutrophils from a cohort of healthy individuals, we generated base-resolution DNA methylation maps to document inter-individual epigenetic variation. We identified 12851 autosomal inter-individual variably methylated fragments (iVMFs). Gene promoters were the least variable, whereas gene body and upstream regions showed higher variation in DNA methylation. The iVMFs were relatively enriched in repetitive elements compared to non-iVMFs, and were associated with genome regulation and chromatin function elements. Further, variably methylated genes were disproportionately associated with regulation of transcription, responsive function and signal transduction pathways. Transcriptome analysis indicates that iVMF methylation at differentially expressed exons has a positive correlation and local effect on the inclusion of that exon in the mRNA transcript. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 9 | 24% |
| United Kingdom | 6 | 16% |
| United States | 3 | 8% |
| France | 2 | 5% |
| New Zealand | 2 | 5% |
| Australia | 1 | 3% |
| El Salvador | 1 | 3% |
| Ireland | 1 | 3% |
| Greece | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 11 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 70% |
| Scientists | 8 | 22% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 82 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 23% |
| Researcher | 15 | 18% |
| Student > Master | 8 | 10% |
| Professor | 5 | 6% |
| Student > Doctoral Student | 4 | 5% |
| Other | 14 | 17% |
| Unknown | 17 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 28% |
| Agricultural and Biological Sciences | 19 | 23% |
| Medicine and Dentistry | 9 | 11% |
| Immunology and Microbiology | 7 | 9% |
| Environmental Science | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 19 | 23% |