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Development of next generation sequencing panel for UMOD and association with kidney disease
Chronic kidney disease (CKD) has a prevalence of approximately 10% in adult populations. CKD can progress to end-stage renal disease (ESRD) and this is usually fatal unless some form of renal replacement therapy (chronic dialysis or renal transplantation) is provided. There is an inherited predispos...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5469457/ https://www.ncbi.nlm.nih.gov/pubmed/28609449 http://dx.doi.org/10.1371/journal.pone.0178321 |
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author | Bailie, Caitlin Kilner, Jill Maxwell, Alexander P. McKnight, Amy Jayne |
author_facet | Bailie, Caitlin Kilner, Jill Maxwell, Alexander P. McKnight, Amy Jayne |
author_sort | Bailie, Caitlin |
collection | PubMed |
description | Chronic kidney disease (CKD) has a prevalence of approximately 10% in adult populations. CKD can progress to end-stage renal disease (ESRD) and this is usually fatal unless some form of renal replacement therapy (chronic dialysis or renal transplantation) is provided. There is an inherited predisposition to CKD with several genetic risk markers now identified. The UMOD gene has been associated with CKD of varying aetiologies. An AmpliSeq next generation sequencing panel was developed to facilitate comprehensive sequencing of the UMOD gene, covering exonic and regulatory regions. SNPs and CpG sites in the genomic region encompassing UMOD were evaluated for association with CKD in two studies; the UK Wellcome Trust Case-Control 3 Renal Transplant Dysfunction Study (n = 1088) and UK-ROI GENIE GWAS (n = 1726). A technological comparison of two Ion Torrent machines revealed 100% allele call concordance between S5 XL(™) and PGM(™) machines. One SNP (rs183962941), located in a non-coding region of UMOD, was nominally associated with ESRD (p = 0.008). No association was identified between UMOD variants and estimated glomerular filtration rate. Analysis of methylation data for over 480,000 CpG sites revealed differential methylation patterns within UMOD, the most significant of these was cg03140788 p = 3.7 x 10(−10). |
format | Online Article Text |
id | pubmed-5469457 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-54694572017-07-03 Development of next generation sequencing panel for UMOD and association with kidney disease Bailie, Caitlin Kilner, Jill Maxwell, Alexander P. McKnight, Amy Jayne PLoS One Research Article Chronic kidney disease (CKD) has a prevalence of approximately 10% in adult populations. CKD can progress to end-stage renal disease (ESRD) and this is usually fatal unless some form of renal replacement therapy (chronic dialysis or renal transplantation) is provided. There is an inherited predisposition to CKD with several genetic risk markers now identified. The UMOD gene has been associated with CKD of varying aetiologies. An AmpliSeq next generation sequencing panel was developed to facilitate comprehensive sequencing of the UMOD gene, covering exonic and regulatory regions. SNPs and CpG sites in the genomic region encompassing UMOD were evaluated for association with CKD in two studies; the UK Wellcome Trust Case-Control 3 Renal Transplant Dysfunction Study (n = 1088) and UK-ROI GENIE GWAS (n = 1726). A technological comparison of two Ion Torrent machines revealed 100% allele call concordance between S5 XL(™) and PGM(™) machines. One SNP (rs183962941), located in a non-coding region of UMOD, was nominally associated with ESRD (p = 0.008). No association was identified between UMOD variants and estimated glomerular filtration rate. Analysis of methylation data for over 480,000 CpG sites revealed differential methylation patterns within UMOD, the most significant of these was cg03140788 p = 3.7 x 10(−10). Public Library of Science 2017-06-13 /pmc/articles/PMC5469457/ /pubmed/28609449 http://dx.doi.org/10.1371/journal.pone.0178321 Text en © 2017 Bailie et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Bailie, Caitlin Kilner, Jill Maxwell, Alexander P. McKnight, Amy Jayne Development of next generation sequencing panel for UMOD and association with kidney disease |
title | Development of next generation sequencing panel for UMOD and association with kidney disease |
title_full | Development of next generation sequencing panel for UMOD and association with kidney disease |
title_fullStr | Development of next generation sequencing panel for UMOD and association with kidney disease |
title_full_unstemmed | Development of next generation sequencing panel for UMOD and association with kidney disease |
title_short | Development of next generation sequencing panel for UMOD and association with kidney disease |
title_sort | development of next generation sequencing panel for umod and association with kidney disease |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5469457/ https://www.ncbi.nlm.nih.gov/pubmed/28609449 http://dx.doi.org/10.1371/journal.pone.0178321 |
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