Maternal genome-wide DNA methylation profiling in gestational diabetes shows distinctive disease-associated changes relative to matched healthy pregnancies
Several recent reports have described associations between gestational diabetes (GDM) and changes to the epigenomic landscape where the DNA samples were derived from either cord or placental sources. We employed genome-wide 450Karray analysis to determine changes to the epigenome in a unique cohort...
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| Format: | Article |
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Future Medicine
2016
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| Online Access: | https://eprints.nottingham.ac.uk/37929/ |
| _version_ | 1848795562846978048 |
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| author | Wu, Pensee Farrell, William E. Haworth, Kim E. Emes, Richard D. Kitchen, Mark O. Glossop, John R. Hanna, Fahmy W Fryer, Anthony A. |
| author_facet | Wu, Pensee Farrell, William E. Haworth, Kim E. Emes, Richard D. Kitchen, Mark O. Glossop, John R. Hanna, Fahmy W Fryer, Anthony A. |
| author_sort | Wu, Pensee |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Several recent reports have described associations between gestational diabetes (GDM) and changes to the epigenomic landscape where the DNA samples were derived from either cord or placental sources. We employed genome-wide 450Karray analysis to determine changes to the epigenome in a unique cohort of maternal blood DNA from 11 pregnant women prior to GDM development relative to matched controls. Hierarchical clustering segregated the samples into two distinct clusters comprising GDM and healthy pregnancies. Screening identified 100 CpGs with a mean β-value difference of ≥0.2 between cases and controls. Using stringent criteria, 5 CpGs (within COPS8, PIK3R5, HAAO, CCDC124, and C5orf34 genes) demonstrated potentials to be clinical biomarkers as revealed by differential methylation in 8 of 11 women who developed GDM relative to matched controls. We identified, for the first time, maternal methylation changes prior to the onset of GDM that may prove useful as biomarkers for early therapeutic intervention. |
| first_indexed | 2025-11-14T19:34:04Z |
| format | Article |
| id | nottingham-37929 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:34:04Z |
| publishDate | 2016 |
| publisher | Future Medicine |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-379292020-05-04T17:40:11Z https://eprints.nottingham.ac.uk/37929/ Maternal genome-wide DNA methylation profiling in gestational diabetes shows distinctive disease-associated changes relative to matched healthy pregnancies Wu, Pensee Farrell, William E. Haworth, Kim E. Emes, Richard D. Kitchen, Mark O. Glossop, John R. Hanna, Fahmy W Fryer, Anthony A. Several recent reports have described associations between gestational diabetes (GDM) and changes to the epigenomic landscape where the DNA samples were derived from either cord or placental sources. We employed genome-wide 450Karray analysis to determine changes to the epigenome in a unique cohort of maternal blood DNA from 11 pregnant women prior to GDM development relative to matched controls. Hierarchical clustering segregated the samples into two distinct clusters comprising GDM and healthy pregnancies. Screening identified 100 CpGs with a mean β-value difference of ≥0.2 between cases and controls. Using stringent criteria, 5 CpGs (within COPS8, PIK3R5, HAAO, CCDC124, and C5orf34 genes) demonstrated potentials to be clinical biomarkers as revealed by differential methylation in 8 of 11 women who developed GDM relative to matched controls. We identified, for the first time, maternal methylation changes prior to the onset of GDM that may prove useful as biomarkers for early therapeutic intervention. Future Medicine 2016-03-28 Article PeerReviewed Wu, Pensee, Farrell, William E., Haworth, Kim E., Emes, Richard D., Kitchen, Mark O., Glossop, John R., Hanna, Fahmy W and Fryer, Anthony A. (2016) Maternal genome-wide DNA methylation profiling in gestational diabetes shows distinctive disease-associated changes relative to matched healthy pregnancies. Epigenomics . ISSN 1750-192X Gestational diabetes epigenetics fetal programming biomarker 450 K array http://www.tandfonline.com/doi/full/10.1080/15592294.2016.1166321 doi:10.1080/15592294.2016.1166321 doi:10.1080/15592294.2016.1166321 |
| spellingShingle | Gestational diabetes epigenetics fetal programming biomarker 450 K array Wu, Pensee Farrell, William E. Haworth, Kim E. Emes, Richard D. Kitchen, Mark O. Glossop, John R. Hanna, Fahmy W Fryer, Anthony A. Maternal genome-wide DNA methylation profiling in gestational diabetes shows distinctive disease-associated changes relative to matched healthy pregnancies |
| title | Maternal genome-wide DNA methylation profiling in gestational diabetes shows distinctive disease-associated changes relative to matched healthy pregnancies |
| title_full | Maternal genome-wide DNA methylation profiling in gestational diabetes shows distinctive disease-associated changes relative to matched healthy pregnancies |
| title_fullStr | Maternal genome-wide DNA methylation profiling in gestational diabetes shows distinctive disease-associated changes relative to matched healthy pregnancies |
| title_full_unstemmed | Maternal genome-wide DNA methylation profiling in gestational diabetes shows distinctive disease-associated changes relative to matched healthy pregnancies |
| title_short | Maternal genome-wide DNA methylation profiling in gestational diabetes shows distinctive disease-associated changes relative to matched healthy pregnancies |
| title_sort | maternal genome-wide dna methylation profiling in gestational diabetes shows distinctive disease-associated changes relative to matched healthy pregnancies |
| topic | Gestational diabetes epigenetics fetal programming biomarker 450 K array |
| url | https://eprints.nottingham.ac.uk/37929/ https://eprints.nottingham.ac.uk/37929/ https://eprints.nottingham.ac.uk/37929/ |