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Genetic Susceptibility to Chronic Kidney Disease – Some More Pieces for the Heritability Puzzle

Chronic kidney disease (CKD) is a major global health problem with an increasing prevalence partly driven by aging population structure. Both genomic and environmental factors contribute to this complex heterogeneous disease. CKD heritability is estimated to be high (30–75%). Genome-wide association...

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Autores principales: Cañadas-Garre, Marisa, Anderson, Kerry, Cappa, Ruaidhri, Skelly, Ryan, Smyth, Laura Jane, McKnight, Amy Jayne, Maxwell, Alexander Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6554557/
https://www.ncbi.nlm.nih.gov/pubmed/31214239
http://dx.doi.org/10.3389/fgene.2019.00453
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author Cañadas-Garre, Marisa
Anderson, Kerry
Cappa, Ruaidhri
Skelly, Ryan
Smyth, Laura Jane
McKnight, Amy Jayne
Maxwell, Alexander Peter
author_facet Cañadas-Garre, Marisa
Anderson, Kerry
Cappa, Ruaidhri
Skelly, Ryan
Smyth, Laura Jane
McKnight, Amy Jayne
Maxwell, Alexander Peter
author_sort Cañadas-Garre, Marisa
collection PubMed
description Chronic kidney disease (CKD) is a major global health problem with an increasing prevalence partly driven by aging population structure. Both genomic and environmental factors contribute to this complex heterogeneous disease. CKD heritability is estimated to be high (30–75%). Genome-wide association studies (GWAS) and GWAS meta-analyses have identified several genetic loci associated with CKD, including variants in UMOD, SHROOM3, solute carriers, and E3 ubiquitin ligases. However, these genetic markers do not account for all the susceptibility to CKD, and the causal pathways remain incompletely understood; other factors must be contributing to the missing heritability. Less investigated biological factors such as telomere length; mitochondrial proteins, encoded by nuclear genes or specific mitochondrial DNA (mtDNA) encoded genes; structural variants, such as copy number variants (CNVs), insertions, deletions, inversions and translocations are poorly covered and may explain some of the missing heritability. The sex chromosomes, often excluded from GWAS studies, may also help explain gender imbalances in CKD. In this review, we outline recent findings on molecular biomarkers for CKD (telomeres, CNVs, mtDNA variants, sex chromosomes) that typically have received less attention than gene polymorphisms. Shorter telomere length has been associated with renal dysfunction and CKD progression, however, most publications report small numbers of subjects with conflicting findings. CNVs have been linked to congenital anomalies of the kidney and urinary tract, posterior urethral valves, nephronophthisis and immunoglobulin A nephropathy. Information on mtDNA biomarkers for CKD comes primarily from case reports, therefore the data are scarce and diverse. The most consistent finding is the A3243G mutation in the MT-TL1 gene, mainly associated with focal segmental glomerulosclerosis. Only one GWAS has found associations between X-chromosome and renal function (rs12845465 and rs5987107). No loci in the Y-chromosome have reached genome-wide significance. In conclusion, despite the efforts to find the genetic basis of CKD, it remains challenging to explain all of the heritability with currently available methods and datasets. Although additional biomarkers have been investigated in less common suspects such as telomeres, CNVs, mtDNA and sex chromosomes, hidden heritability in CKD remains elusive, and more comprehensive approaches, particularly through the integration of multiple –“omics” data, are needed.
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spelling pubmed-65545572019-06-18 Genetic Susceptibility to Chronic Kidney Disease – Some More Pieces for the Heritability Puzzle Cañadas-Garre, Marisa Anderson, Kerry Cappa, Ruaidhri Skelly, Ryan Smyth, Laura Jane McKnight, Amy Jayne Maxwell, Alexander Peter Front Genet Genetics Chronic kidney disease (CKD) is a major global health problem with an increasing prevalence partly driven by aging population structure. Both genomic and environmental factors contribute to this complex heterogeneous disease. CKD heritability is estimated to be high (30–75%). Genome-wide association studies (GWAS) and GWAS meta-analyses have identified several genetic loci associated with CKD, including variants in UMOD, SHROOM3, solute carriers, and E3 ubiquitin ligases. However, these genetic markers do not account for all the susceptibility to CKD, and the causal pathways remain incompletely understood; other factors must be contributing to the missing heritability. Less investigated biological factors such as telomere length; mitochondrial proteins, encoded by nuclear genes or specific mitochondrial DNA (mtDNA) encoded genes; structural variants, such as copy number variants (CNVs), insertions, deletions, inversions and translocations are poorly covered and may explain some of the missing heritability. The sex chromosomes, often excluded from GWAS studies, may also help explain gender imbalances in CKD. In this review, we outline recent findings on molecular biomarkers for CKD (telomeres, CNVs, mtDNA variants, sex chromosomes) that typically have received less attention than gene polymorphisms. Shorter telomere length has been associated with renal dysfunction and CKD progression, however, most publications report small numbers of subjects with conflicting findings. CNVs have been linked to congenital anomalies of the kidney and urinary tract, posterior urethral valves, nephronophthisis and immunoglobulin A nephropathy. Information on mtDNA biomarkers for CKD comes primarily from case reports, therefore the data are scarce and diverse. The most consistent finding is the A3243G mutation in the MT-TL1 gene, mainly associated with focal segmental glomerulosclerosis. Only one GWAS has found associations between X-chromosome and renal function (rs12845465 and rs5987107). No loci in the Y-chromosome have reached genome-wide significance. In conclusion, despite the efforts to find the genetic basis of CKD, it remains challenging to explain all of the heritability with currently available methods and datasets. Although additional biomarkers have been investigated in less common suspects such as telomeres, CNVs, mtDNA and sex chromosomes, hidden heritability in CKD remains elusive, and more comprehensive approaches, particularly through the integration of multiple –“omics” data, are needed. Frontiers Media S.A. 2019-05-31 /pmc/articles/PMC6554557/ /pubmed/31214239 http://dx.doi.org/10.3389/fgene.2019.00453 Text en Copyright © 2019 Cañadas-Garre, Anderson, Cappa, Skelly, Smyth, McKnight and Maxwell. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Cañadas-Garre, Marisa
Anderson, Kerry
Cappa, Ruaidhri
Skelly, Ryan
Smyth, Laura Jane
McKnight, Amy Jayne
Maxwell, Alexander Peter
Genetic Susceptibility to Chronic Kidney Disease – Some More Pieces for the Heritability Puzzle
title Genetic Susceptibility to Chronic Kidney Disease – Some More Pieces for the Heritability Puzzle
title_full Genetic Susceptibility to Chronic Kidney Disease – Some More Pieces for the Heritability Puzzle
title_fullStr Genetic Susceptibility to Chronic Kidney Disease – Some More Pieces for the Heritability Puzzle
title_full_unstemmed Genetic Susceptibility to Chronic Kidney Disease – Some More Pieces for the Heritability Puzzle
title_short Genetic Susceptibility to Chronic Kidney Disease – Some More Pieces for the Heritability Puzzle
title_sort genetic susceptibility to chronic kidney disease – some more pieces for the heritability puzzle
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6554557/
https://www.ncbi.nlm.nih.gov/pubmed/31214239
http://dx.doi.org/10.3389/fgene.2019.00453
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