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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...

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Autores principales: Bailie, Caitlin, Kilner, Jill, Maxwell, Alexander P., McKnight, Amy Jayne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
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).
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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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