Article ; Online: Les grandes avancées en néphro-génétique pédiatrique.
2023 Volume 39, Issue 3, Page(s) 234–245
Abstract: The rise of genetics in the last decades has allowed major advances in the understanding of the mechanisms leading to inherited kidney diseases. From the first positional cloning studies to the advent of high-throughput sequencing (NGS), genome analysis ... ...
Title translation | Major advances in pediatric nephro-genetics. |
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Abstract | The rise of genetics in the last decades has allowed major advances in the understanding of the mechanisms leading to inherited kidney diseases. From the first positional cloning studies to the advent of high-throughput sequencing (NGS), genome analysis technologies have become increasingly efficient, with an extraordinary level of resolution. Moreover, sequencing prices have decreased from one million dollars for the sequencing of James Watson's genome in 2008, to a few hundred dollars for the sequencing of a genome today. Thus, molecular diagnosis has a central place in the diagnosis of these patients and influences the therapeutic management in many situations. However, although NGS is a powerful tool for the identification of variants involved in diseases, it also exposes to the risk of over-interpretation of certain variants, leading to erroneous diagnoses, requiring the use of specialists. In this review, we first propose a brief retrospective of the essential steps that led to the current knowledge and the development of NGS for the study of hereditary nephropathies in children. This review is then an opportunity to present the main hereditary nephropathies and the underlying molecular mechanisms. Among them, we emphasize ciliopathies, congenital anomalies of the kidney and urinary tract, podocytopathies and tubulopathies. |
MeSH term(s) | Child ; Humans ; Retrospective Studies ; High-Throughput Nucleotide Sequencing ; Ciliopathies |
Language | French |
Publishing date | 2023-03-21 |
Publishing country | France |
Document type | Review ; English Abstract ; Journal Article |
ZDB-ID | 632733-3 |
ISSN | 1958-5381 ; 0767-0974 |
ISSN (online) | 1958-5381 |
ISSN | 0767-0974 |
DOI | 10.1051/medsci/2023028 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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