TY - JOUR
T1 - Clinical exome sequencing is a powerful tool in the diagnostic flow of monogenic kidney diseases
T2 - an Italian experience
AU - Vaisitti, Tiziana
AU - Sorbini, Monica
AU - Callegari, Martina
AU - Kalantari, Silvia
AU - Bracciamà, Valeria
AU - Arruga, Francesca
AU - Vanzino, Silvia Bruna
AU - Rendine, Sabina
AU - Togliatto, Gabriele
AU - Giachino, Daniela
AU - Pelle, Alessandra
AU - Cocchi, Enrico
AU - Benvenuta, Chiara
AU - Baldovino, Simone
AU - Rollino, Cristiana
AU - Fenoglio, Roberta
AU - Sciascia, Savino
AU - Tamagnone, Michela
AU - Vitale, Corrado
AU - Calabrese, Giovanni
AU - Biancone, Luigi
AU - Bussolino, Stefania
AU - Savoldi, Silvana
AU - Borzumati, Maurizio
AU - Cantaluppi, Vincenzo
AU - Chiappero, Fabio
AU - Ungari, Silvana
AU - Peruzzi, Licia
AU - Roccatello, Dario
AU - Amoroso, Antonio
AU - Deaglio, Silvia
N1 - Publisher Copyright:
© 2020, The Author(s).
PY - 2021/10
Y1 - 2021/10
N2 - 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.
AB - 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.
KW - Chronic kidney failure
KW - Next-generation sequencing
KW - Renal monogenic disease
KW - Transplantation
UR - http://www.scopus.com/inward/record.url?scp=85096455234&partnerID=8YFLogxK
U2 - 10.1007/s40620-020-00898-8
DO - 10.1007/s40620-020-00898-8
M3 - Article
SN - 1121-8428
VL - 34
SP - 1767
EP - 1781
JO - Journal of Nephrology
JF - Journal of Nephrology
IS - 5
ER -