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A roadmap for the genetic analysis of renal aging

Several studies show evidence for the genetic basis of renal disease, which renders some individuals more prone than others to accelerated renal aging. Studying the genetics of renal aging can help us to identify genes involved in this process and to unravel the underlying pathways. First, this opin...

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Autores principales: Noordmans, Gerda A, Hillebrands, Jan-Luuk, van Goor, Harry, Korstanje, Ron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4568960/
https://www.ncbi.nlm.nih.gov/pubmed/26219736
http://dx.doi.org/10.1111/acel.12378
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author Noordmans, Gerda A
Hillebrands, Jan-Luuk
van Goor, Harry
Korstanje, Ron
author_facet Noordmans, Gerda A
Hillebrands, Jan-Luuk
van Goor, Harry
Korstanje, Ron
author_sort Noordmans, Gerda A
collection PubMed
description Several studies show evidence for the genetic basis of renal disease, which renders some individuals more prone than others to accelerated renal aging. Studying the genetics of renal aging can help us to identify genes involved in this process and to unravel the underlying pathways. First, this opinion article will give an overview of the phenotypes that can be observed in age-related kidney disease. Accurate phenotyping is essential in performing genetic analysis. For kidney aging, this could include both functional and structural changes. Subsequently, this article reviews the studies that report on candidate genes associated with renal aging in humans and mice. Several loci or candidate genes have been found associated with kidney disease, but identification of the specific genetic variants involved has proven to be difficult. CUBN, UMOD, and SHROOM3 were identified by human GWAS as being associated with albuminuria, kidney function, and chronic kidney disease (CKD). These are promising examples of genes that could be involved in renal aging, and were further mechanistically evaluated in animal models. Eventually, we will provide approaches for performing genetic analysis. We should leverage the power of mouse models, as testing in humans is limited. Mouse and other animal models can be used to explain the underlying biological mechanisms of genes and loci identified by human GWAS. Furthermore, mouse models can be used to identify genetic variants associated with age-associated histological changes, of which Far2, Wisp2, and Esrrg are examples. A new outbred mouse population with high genetic diversity will facilitate the identification of genes associated with renal aging by enabling high-resolution genetic mapping while also allowing the control of environmental factors, and by enabling access to renal tissues at specific time points for histology, proteomics, and gene expression.
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spelling pubmed-45689602015-10-01 A roadmap for the genetic analysis of renal aging Noordmans, Gerda A Hillebrands, Jan-Luuk van Goor, Harry Korstanje, Ron Aging Cell Reviews Several studies show evidence for the genetic basis of renal disease, which renders some individuals more prone than others to accelerated renal aging. Studying the genetics of renal aging can help us to identify genes involved in this process and to unravel the underlying pathways. First, this opinion article will give an overview of the phenotypes that can be observed in age-related kidney disease. Accurate phenotyping is essential in performing genetic analysis. For kidney aging, this could include both functional and structural changes. Subsequently, this article reviews the studies that report on candidate genes associated with renal aging in humans and mice. Several loci or candidate genes have been found associated with kidney disease, but identification of the specific genetic variants involved has proven to be difficult. CUBN, UMOD, and SHROOM3 were identified by human GWAS as being associated with albuminuria, kidney function, and chronic kidney disease (CKD). These are promising examples of genes that could be involved in renal aging, and were further mechanistically evaluated in animal models. Eventually, we will provide approaches for performing genetic analysis. We should leverage the power of mouse models, as testing in humans is limited. Mouse and other animal models can be used to explain the underlying biological mechanisms of genes and loci identified by human GWAS. Furthermore, mouse models can be used to identify genetic variants associated with age-associated histological changes, of which Far2, Wisp2, and Esrrg are examples. A new outbred mouse population with high genetic diversity will facilitate the identification of genes associated with renal aging by enabling high-resolution genetic mapping while also allowing the control of environmental factors, and by enabling access to renal tissues at specific time points for histology, proteomics, and gene expression. John Wiley & Sons, Ltd 2015-10 2015-07-29 /pmc/articles/PMC4568960/ /pubmed/26219736 http://dx.doi.org/10.1111/acel.12378 Text en © 2015 The Authors. Aging Cell published by the Anatomical Society and John Wiley & Sons Ltd. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Reviews
Noordmans, Gerda A
Hillebrands, Jan-Luuk
van Goor, Harry
Korstanje, Ron
A roadmap for the genetic analysis of renal aging
title A roadmap for the genetic analysis of renal aging
title_full A roadmap for the genetic analysis of renal aging
title_fullStr A roadmap for the genetic analysis of renal aging
title_full_unstemmed A roadmap for the genetic analysis of renal aging
title_short A roadmap for the genetic analysis of renal aging
title_sort roadmap for the genetic analysis of renal aging
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4568960/
https://www.ncbi.nlm.nih.gov/pubmed/26219736
http://dx.doi.org/10.1111/acel.12378
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