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Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease
Type 1 diabetes affects over nine million individuals globally, with approximately 40% developing diabetic kidney disease. Emerging evidence suggests that epigenetic alterations, such as DNA methylation, are involved in diabetic kidney disease. Here we assess differences in blood-derived genome-wide...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780337/ https://www.ncbi.nlm.nih.gov/pubmed/36550108 http://dx.doi.org/10.1038/s41467-022-34963-6 |
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| author | Smyth, Laura J. Dahlström, Emma H. Syreeni, Anna Kerr, Katie Kilner, Jill Doyle, Ross Brennan, Eoin Nair, Viji Fermin, Damian Nelson, Robert G. Looker, Helen C. Wooster, Christopher Andrews, Darrell Anderson, Kerry McKay, Gareth J. Cole, Joanne B. Salem, Rany M. Conlon, Peter J. Kretzler, Matthias Hirschhorn, Joel N. Sadlier, Denise Godson, Catherine Florez, Jose C. Forsblom, Carol Maxwell, Alexander P. Groop, Per-Henrik Sandholm, Niina McKnight, Amy Jayne |
| author_facet | Smyth, Laura J. Dahlström, Emma H. Syreeni, Anna Kerr, Katie Kilner, Jill Doyle, Ross Brennan, Eoin Nair, Viji Fermin, Damian Nelson, Robert G. Looker, Helen C. Wooster, Christopher Andrews, Darrell Anderson, Kerry McKay, Gareth J. Cole, Joanne B. Salem, Rany M. Conlon, Peter J. Kretzler, Matthias Hirschhorn, Joel N. Sadlier, Denise Godson, Catherine Florez, Jose C. Forsblom, Carol Maxwell, Alexander P. Groop, Per-Henrik Sandholm, Niina McKnight, Amy Jayne |
| author_sort | Smyth, Laura J. |
| collection | PubMed |
| description | Type 1 diabetes affects over nine million individuals globally, with approximately 40% developing diabetic kidney disease. Emerging evidence suggests that epigenetic alterations, such as DNA methylation, are involved in diabetic kidney disease. Here we assess differences in blood-derived genome-wide DNA methylation associated with diabetic kidney disease in 1304 carefully characterised individuals with type 1 diabetes and known renal status from two cohorts in the United Kingdom-Republic of Ireland and Finland. In the meta-analysis, we identify 32 differentially methylated CpGs in diabetic kidney disease in type 1 diabetes, 18 of which are located within genes differentially expressed in kidneys or correlated with pathological traits in diabetic kidney disease. We show that methylation at 21 of the 32 CpGs predict the development of kidney failure, extending the knowledge and potentially identifying individuals at greater risk for diabetic kidney disease in type 1 diabetes. |
| format | Online Article Text |
| id | pubmed-9780337 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Nature Publishing Group UK |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-97803372022-12-24 Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease Smyth, Laura J. Dahlström, Emma H. Syreeni, Anna Kerr, Katie Kilner, Jill Doyle, Ross Brennan, Eoin Nair, Viji Fermin, Damian Nelson, Robert G. Looker, Helen C. Wooster, Christopher Andrews, Darrell Anderson, Kerry McKay, Gareth J. Cole, Joanne B. Salem, Rany M. Conlon, Peter J. Kretzler, Matthias Hirschhorn, Joel N. Sadlier, Denise Godson, Catherine Florez, Jose C. Forsblom, Carol Maxwell, Alexander P. Groop, Per-Henrik Sandholm, Niina McKnight, Amy Jayne Nat Commun Article Type 1 diabetes affects over nine million individuals globally, with approximately 40% developing diabetic kidney disease. Emerging evidence suggests that epigenetic alterations, such as DNA methylation, are involved in diabetic kidney disease. Here we assess differences in blood-derived genome-wide DNA methylation associated with diabetic kidney disease in 1304 carefully characterised individuals with type 1 diabetes and known renal status from two cohorts in the United Kingdom-Republic of Ireland and Finland. In the meta-analysis, we identify 32 differentially methylated CpGs in diabetic kidney disease in type 1 diabetes, 18 of which are located within genes differentially expressed in kidneys or correlated with pathological traits in diabetic kidney disease. We show that methylation at 21 of the 32 CpGs predict the development of kidney failure, extending the knowledge and potentially identifying individuals at greater risk for diabetic kidney disease in type 1 diabetes. Nature Publishing Group UK 2022-12-22 /pmc/articles/PMC9780337/ /pubmed/36550108 http://dx.doi.org/10.1038/s41467-022-34963-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
| spellingShingle | Article Smyth, Laura J. Dahlström, Emma H. Syreeni, Anna Kerr, Katie Kilner, Jill Doyle, Ross Brennan, Eoin Nair, Viji Fermin, Damian Nelson, Robert G. Looker, Helen C. Wooster, Christopher Andrews, Darrell Anderson, Kerry McKay, Gareth J. Cole, Joanne B. Salem, Rany M. Conlon, Peter J. Kretzler, Matthias Hirschhorn, Joel N. Sadlier, Denise Godson, Catherine Florez, Jose C. Forsblom, Carol Maxwell, Alexander P. Groop, Per-Henrik Sandholm, Niina McKnight, Amy Jayne Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease |
| title | Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease |
| title_full | Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease |
| title_fullStr | Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease |
| title_full_unstemmed | Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease |
| title_short | Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease |
| title_sort | epigenome-wide meta-analysis identifies dna methylation biomarkers associated with diabetic kidney disease |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780337/ https://www.ncbi.nlm.nih.gov/pubmed/36550108 http://dx.doi.org/10.1038/s41467-022-34963-6 |
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