Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease
Approximately 40 percent of people with type 1 diabetes develop kidney disease, but the risk factors are not well understood. Here, the authors identify DNA methylation signatures associated with diabetic kidney disease, of which 21 biomarkers predict the development of kidney failure.
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-12-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-022-34963-6 |
| _version_ | 1797977343889768448 |
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| author | Laura J. Smyth Emma H. Dahlström Anna Syreeni Katie Kerr Jill Kilner Ross Doyle Eoin Brennan Viji Nair Damian Fermin Robert G. Nelson Helen C. Looker Christopher Wooster Darrell Andrews Kerry Anderson Gareth J. McKay Joanne B. Cole Rany M. Salem Peter J. Conlon Matthias Kretzler Joel N. Hirschhorn Denise Sadlier Catherine Godson Jose C. Florez GENIE consortium Carol Forsblom Alexander P. Maxwell Per-Henrik Groop Niina Sandholm Amy Jayne McKnight |
| author_facet | Laura J. Smyth Emma H. Dahlström Anna Syreeni Katie Kerr Jill Kilner Ross Doyle Eoin Brennan Viji Nair Damian Fermin Robert G. Nelson Helen C. Looker Christopher Wooster Darrell Andrews Kerry Anderson Gareth J. McKay Joanne B. Cole Rany M. Salem Peter J. Conlon Matthias Kretzler Joel N. Hirschhorn Denise Sadlier Catherine Godson Jose C. Florez GENIE consortium Carol Forsblom Alexander P. Maxwell Per-Henrik Groop Niina Sandholm Amy Jayne McKnight |
| author_sort | Laura J. Smyth |
| collection | DOAJ |
| description | Approximately 40 percent of people with type 1 diabetes develop kidney disease, but the risk factors are not well understood. Here, the authors identify DNA methylation signatures associated with diabetic kidney disease, of which 21 biomarkers predict the development of kidney failure. |
| first_indexed | 2024-04-11T05:05:18Z |
| format | Article |
| id | doaj.art-777a9666411244d6bce4bb7f84d0b5c3 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-04-11T05:05:18Z |
| publishDate | 2022-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-777a9666411244d6bce4bb7f84d0b5c32022-12-25T12:22:16ZengNature PortfolioNature Communications2041-17232022-12-0113111610.1038/s41467-022-34963-6Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney diseaseLaura J. Smyth0Emma H. Dahlström1Anna Syreeni2Katie Kerr3Jill Kilner4Ross Doyle5Eoin Brennan6Viji Nair7Damian Fermin8Robert G. Nelson9Helen C. Looker10Christopher Wooster11Darrell Andrews12Kerry Anderson13Gareth J. McKay14Joanne B. Cole15Rany M. Salem16Peter J. Conlon17Matthias Kretzler18Joel N. Hirschhorn19Denise Sadlier20Catherine Godson21Jose C. Florez22GENIE consortiumCarol Forsblom23Alexander P. Maxwell24Per-Henrik Groop25Niina Sandholm26Amy Jayne McKnight27Molecular Epidemiology Research Group, Centre for Public Health, Queen’s University BelfastFolkhälsan Institute of Genetics, Folkhälsan Research CenterFolkhälsan Institute of Genetics, Folkhälsan Research CenterMolecular Epidemiology Research Group, Centre for Public Health, Queen’s University BelfastMolecular Epidemiology Research Group, Centre for Public Health, Queen’s University BelfastDiabetes Complications Research Centre, Conway Institute, School of Medicine, University College DublinDiabetes Complications Research Centre, Conway Institute, School of Medicine, University College DublinDepartment of Medicine-Nephrology, University of Michigan School of MedicineDepartment of Pediatrics-Nephrology, University of Michigan School of MedicineChronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney DiseasesChronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney DiseasesMolecular Epidemiology Research Group, Centre for Public Health, Queen’s University BelfastDiabetes Complications Research Centre, Conway Institute, School of Medicine, University College DublinMolecular Epidemiology Research Group, Centre for Public Health, Queen’s University BelfastMolecular Epidemiology Research Group, Centre for Public Health, Queen’s University BelfastPrograms in Metabolism and Medical & Population Genetics, Broad InstituteHerbert Wertheim School of Public Health and Human Longevity Science, University of California San DiegoDepartment of Nephrology and Transplantation, Beaumont Hospital and Department of Medicine Royal College of Surgeons in IrelandDepartment of Internal Medicine, University of MichiganPrograms in Metabolism and Medical & Population Genetics, Broad InstituteMater Misericordiae HospitalDiabetes Complications Research Centre, Conway Institute, School of Medicine, University College DublinPrograms in Metabolism and Medical & Population Genetics, Broad InstituteFolkhälsan Institute of Genetics, Folkhälsan Research CenterMolecular Epidemiology Research Group, Centre for Public Health, Queen’s University BelfastFolkhälsan Institute of Genetics, Folkhälsan Research CenterFolkhälsan Institute of Genetics, Folkhälsan Research CenterMolecular Epidemiology Research Group, Centre for Public Health, Queen’s University BelfastApproximately 40 percent of people with type 1 diabetes develop kidney disease, but the risk factors are not well understood. Here, the authors identify DNA methylation signatures associated with diabetic kidney disease, of which 21 biomarkers predict the development of kidney failure.https://doi.org/10.1038/s41467-022-34963-6 |
| spellingShingle | Laura J. Smyth Emma H. Dahlström Anna Syreeni Katie Kerr Jill Kilner Ross Doyle Eoin Brennan Viji Nair Damian Fermin Robert G. Nelson Helen C. Looker Christopher Wooster Darrell Andrews Kerry Anderson Gareth J. McKay Joanne B. Cole Rany M. Salem Peter J. Conlon Matthias Kretzler Joel N. Hirschhorn Denise Sadlier Catherine Godson Jose C. Florez GENIE consortium Carol Forsblom Alexander P. Maxwell Per-Henrik Groop Niina Sandholm Amy Jayne McKnight Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease Nature Communications |
| 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 |
| url | https://doi.org/10.1038/s41467-022-34963-6 |
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