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Clinical exome sequencing is a powerful tool in the diagnostic flow of monogenic kidney diseases: an Italian experience

BACKGROUND: A considerable minority of patients on waiting lists for kidney transplantation either have no diagnosis (and fall into the subset of undiagnosed cases) because kidney biopsy was not performed or histological findings were non-specific, or do not fall into any well-defined clinical categ...

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Autores principales: Vaisitti, Tiziana, Sorbini, Monica, Callegari, Martina, Kalantari, Silvia, Bracciamà, Valeria, Arruga, Francesca, Vanzino, Silvia Bruna, Rendine, Sabina, Togliatto, Gabriele, Giachino, Daniela, Pelle, Alessandra, Cocchi, Enrico, Benvenuta, Chiara, Baldovino, Simone, Rollino, Cristiana, Fenoglio, Roberta, Sciascia, Savino, Tamagnone, Michela, Vitale, Corrado, Calabrese, Giovanni, Biancone, Luigi, Bussolino, Stefania, Savoldi, Silvana, Borzumati, Maurizio, Cantaluppi, Vincenzo, Chiappero, Fabio, Ungari, Silvana, Peruzzi, Licia, Roccatello, Dario, Amoroso, Antonio, Deaglio, Silvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494711/
https://www.ncbi.nlm.nih.gov/pubmed/33226606
http://dx.doi.org/10.1007/s40620-020-00898-8
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author Vaisitti, Tiziana
Sorbini, Monica
Callegari, Martina
Kalantari, Silvia
Bracciamà, Valeria
Arruga, Francesca
Vanzino, Silvia Bruna
Rendine, Sabina
Togliatto, Gabriele
Giachino, Daniela
Pelle, Alessandra
Cocchi, Enrico
Benvenuta, Chiara
Baldovino, Simone
Rollino, Cristiana
Fenoglio, Roberta
Sciascia, Savino
Tamagnone, Michela
Vitale, Corrado
Calabrese, Giovanni
Biancone, Luigi
Bussolino, Stefania
Savoldi, Silvana
Borzumati, Maurizio
Cantaluppi, Vincenzo
Chiappero, Fabio
Ungari, Silvana
Peruzzi, Licia
Roccatello, Dario
Amoroso, Antonio
Deaglio, Silvia
author_facet Vaisitti, Tiziana
Sorbini, Monica
Callegari, Martina
Kalantari, Silvia
Bracciamà, Valeria
Arruga, Francesca
Vanzino, Silvia Bruna
Rendine, Sabina
Togliatto, Gabriele
Giachino, Daniela
Pelle, Alessandra
Cocchi, Enrico
Benvenuta, Chiara
Baldovino, Simone
Rollino, Cristiana
Fenoglio, Roberta
Sciascia, Savino
Tamagnone, Michela
Vitale, Corrado
Calabrese, Giovanni
Biancone, Luigi
Bussolino, Stefania
Savoldi, Silvana
Borzumati, Maurizio
Cantaluppi, Vincenzo
Chiappero, Fabio
Ungari, Silvana
Peruzzi, Licia
Roccatello, Dario
Amoroso, Antonio
Deaglio, Silvia
author_sort Vaisitti, Tiziana
collection PubMed
description BACKGROUND: A considerable minority of patients on waiting lists for kidney transplantation either have no diagnosis (and fall into the subset of undiagnosed cases) because kidney biopsy was not performed or histological findings were non-specific, or do not fall into any well-defined clinical category. Some of these patients might be affected by a previously unrecognised monogenic disease. METHODS: Through a multidisciplinary cooperative effort, we built an analytical pipeline to identify patients with chronic kidney disease (CKD) with a clinical suspicion of a monogenic condition or without a well-defined diagnosis. Following the stringent phenotypical and clinical characterization required by the flowchart, candidates meeting these criteria were further investigated by clinical exome sequencing followed by in silico analysis of 225 kidney-disease-related genes. RESULTS: By using an ad hoc web-based platform, we enrolled 160 patients from 13 different Nephrology and Genetics Units located across the Piedmont region over 15 months. A preliminary “remote” evaluation based on well-defined inclusion criteria allowed us to define eligibility for NGS analysis. Among the 138 recruited patients, 52 (37.7%) were children and 86 (62.3%) were adults. Up to 48% of them had a positive family history for kidney disease. Overall, applying this workflow led to the identification of genetic variants potentially explaining the phenotype in 78 (56.5%) cases. CONCLUSIONS: These results underline the importance of clinical exome sequencing as a versatile and highly useful, non-invasive tool for genetic diagnosis of kidney diseases. Identifying patients who can benefit from targeted therapies, and improving the management of organ transplantation are further expected applications. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40620-020-00898-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-84947112021-10-19 Clinical exome sequencing is a powerful tool in the diagnostic flow of monogenic kidney diseases: an Italian experience Vaisitti, Tiziana Sorbini, Monica Callegari, Martina Kalantari, Silvia Bracciamà, Valeria Arruga, Francesca Vanzino, Silvia Bruna Rendine, Sabina Togliatto, Gabriele Giachino, Daniela Pelle, Alessandra Cocchi, Enrico Benvenuta, Chiara Baldovino, Simone Rollino, Cristiana Fenoglio, Roberta Sciascia, Savino Tamagnone, Michela Vitale, Corrado Calabrese, Giovanni Biancone, Luigi Bussolino, Stefania Savoldi, Silvana Borzumati, Maurizio Cantaluppi, Vincenzo Chiappero, Fabio Ungari, Silvana Peruzzi, Licia Roccatello, Dario Amoroso, Antonio Deaglio, Silvia J Nephrol Original Article BACKGROUND: A considerable minority of patients on waiting lists for kidney transplantation either have no diagnosis (and fall into the subset of undiagnosed cases) because kidney biopsy was not performed or histological findings were non-specific, or do not fall into any well-defined clinical category. Some of these patients might be affected by a previously unrecognised monogenic disease. METHODS: Through a multidisciplinary cooperative effort, we built an analytical pipeline to identify patients with chronic kidney disease (CKD) with a clinical suspicion of a monogenic condition or without a well-defined diagnosis. Following the stringent phenotypical and clinical characterization required by the flowchart, candidates meeting these criteria were further investigated by clinical exome sequencing followed by in silico analysis of 225 kidney-disease-related genes. RESULTS: By using an ad hoc web-based platform, we enrolled 160 patients from 13 different Nephrology and Genetics Units located across the Piedmont region over 15 months. A preliminary “remote” evaluation based on well-defined inclusion criteria allowed us to define eligibility for NGS analysis. Among the 138 recruited patients, 52 (37.7%) were children and 86 (62.3%) were adults. Up to 48% of them had a positive family history for kidney disease. Overall, applying this workflow led to the identification of genetic variants potentially explaining the phenotype in 78 (56.5%) cases. CONCLUSIONS: These results underline the importance of clinical exome sequencing as a versatile and highly useful, non-invasive tool for genetic diagnosis of kidney diseases. Identifying patients who can benefit from targeted therapies, and improving the management of organ transplantation are further expected applications. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40620-020-00898-8) contains supplementary material, which is available to authorized users. Springer International Publishing 2020-11-23 2021 /pmc/articles/PMC8494711/ /pubmed/33226606 http://dx.doi.org/10.1007/s40620-020-00898-8 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Vaisitti, Tiziana
Sorbini, Monica
Callegari, Martina
Kalantari, Silvia
Bracciamà, Valeria
Arruga, Francesca
Vanzino, Silvia Bruna
Rendine, Sabina
Togliatto, Gabriele
Giachino, Daniela
Pelle, Alessandra
Cocchi, Enrico
Benvenuta, Chiara
Baldovino, Simone
Rollino, Cristiana
Fenoglio, Roberta
Sciascia, Savino
Tamagnone, Michela
Vitale, Corrado
Calabrese, Giovanni
Biancone, Luigi
Bussolino, Stefania
Savoldi, Silvana
Borzumati, Maurizio
Cantaluppi, Vincenzo
Chiappero, Fabio
Ungari, Silvana
Peruzzi, Licia
Roccatello, Dario
Amoroso, Antonio
Deaglio, Silvia
Clinical exome sequencing is a powerful tool in the diagnostic flow of monogenic kidney diseases: an Italian experience
title Clinical exome sequencing is a powerful tool in the diagnostic flow of monogenic kidney diseases: an Italian experience
title_full Clinical exome sequencing is a powerful tool in the diagnostic flow of monogenic kidney diseases: an Italian experience
title_fullStr Clinical exome sequencing is a powerful tool in the diagnostic flow of monogenic kidney diseases: an Italian experience
title_full_unstemmed Clinical exome sequencing is a powerful tool in the diagnostic flow of monogenic kidney diseases: an Italian experience
title_short Clinical exome sequencing is a powerful tool in the diagnostic flow of monogenic kidney diseases: an Italian experience
title_sort clinical exome sequencing is a powerful tool in the diagnostic flow of monogenic kidney diseases: an italian experience
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494711/
https://www.ncbi.nlm.nih.gov/pubmed/33226606
http://dx.doi.org/10.1007/s40620-020-00898-8
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