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High Diagnostic Yield of Targeted Next-Generation Sequencing in a Cohort of Patients With Congenital Hypothyroidism Due to Dyshormonogenesis

OBJECTIVE: To elucidate the molecular cause in a well-characterized cohort of patients with Congenital Hypothyroidism (CH) and Dyshormonogenesis (DH) by using targeted next-generation sequencing (TNGS). STUDY DESIGN: We studied 19 well-characterized patients diagnosed with CH and DH by targeted NGS...

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Autores principales: Stoupa, Athanasia, Al Hage Chehade, Ghada, Chaabane, Rim, Kariyawasam, Dulanjalee, Szinnai, Gabor, Hanein, Sylvain, Bole-Feysot, Christine, Fourrage, Cécile, Nitschke, Patrick, Thalassinos, Caroline, Pinto, Graziella, Mnif, Mouna, Baron, Sabine, De Kerdanet, Marc, Reynaud, Rachel, Barat, Pascal, Hachicha, Mongia, Belguith, Neila, Polak, Michel, Carré, Aurore
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7937947/
https://www.ncbi.nlm.nih.gov/pubmed/33692749
http://dx.doi.org/10.3389/fendo.2020.545339
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author Stoupa, Athanasia
Al Hage Chehade, Ghada
Chaabane, Rim
Kariyawasam, Dulanjalee
Szinnai, Gabor
Hanein, Sylvain
Bole-Feysot, Christine
Fourrage, Cécile
Nitschke, Patrick
Thalassinos, Caroline
Pinto, Graziella
Mnif, Mouna
Baron, Sabine
De Kerdanet, Marc
Reynaud, Rachel
Barat, Pascal
Hachicha, Mongia
Belguith, Neila
Polak, Michel
Carré, Aurore
author_facet Stoupa, Athanasia
Al Hage Chehade, Ghada
Chaabane, Rim
Kariyawasam, Dulanjalee
Szinnai, Gabor
Hanein, Sylvain
Bole-Feysot, Christine
Fourrage, Cécile
Nitschke, Patrick
Thalassinos, Caroline
Pinto, Graziella
Mnif, Mouna
Baron, Sabine
De Kerdanet, Marc
Reynaud, Rachel
Barat, Pascal
Hachicha, Mongia
Belguith, Neila
Polak, Michel
Carré, Aurore
author_sort Stoupa, Athanasia
collection PubMed
description OBJECTIVE: To elucidate the molecular cause in a well-characterized cohort of patients with Congenital Hypothyroidism (CH) and Dyshormonogenesis (DH) by using targeted next-generation sequencing (TNGS). STUDY DESIGN: We studied 19 well-characterized patients diagnosed with CH and DH by targeted NGS including genes involved in thyroid hormone production. The pathogenicity of novel mutations was assessed based on in silico prediction tool results, functional studies when possible, variant location in important protein domains, and a review of the recent literature. RESULTS: TNGS with variant prioritization and detailed assessment identified likely disease-causing mutations in 10 patients (53%). Monogenic defects most often involved TG, followed by DUOXA2, DUOX2, and NIS and were usually homozygous or compound heterozygous. Our review shows the importance of the detailed phenotypic description of patients and accurate analysis of variants to provide a molecular diagnosis. CONCLUSIONS: In a clinically well-characterized cohort, TNGS had a diagnostic yield of 53%, in accordance with previous studies using a similar strategy. TG mutations were the most common genetic defect. TNGS identified gene mutations causing DH, thereby providing a rapid and cost-effective genetic diagnosis in patients with CH due to DH.
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spelling pubmed-79379472021-03-09 High Diagnostic Yield of Targeted Next-Generation Sequencing in a Cohort of Patients With Congenital Hypothyroidism Due to Dyshormonogenesis Stoupa, Athanasia Al Hage Chehade, Ghada Chaabane, Rim Kariyawasam, Dulanjalee Szinnai, Gabor Hanein, Sylvain Bole-Feysot, Christine Fourrage, Cécile Nitschke, Patrick Thalassinos, Caroline Pinto, Graziella Mnif, Mouna Baron, Sabine De Kerdanet, Marc Reynaud, Rachel Barat, Pascal Hachicha, Mongia Belguith, Neila Polak, Michel Carré, Aurore Front Endocrinol (Lausanne) Endocrinology OBJECTIVE: To elucidate the molecular cause in a well-characterized cohort of patients with Congenital Hypothyroidism (CH) and Dyshormonogenesis (DH) by using targeted next-generation sequencing (TNGS). STUDY DESIGN: We studied 19 well-characterized patients diagnosed with CH and DH by targeted NGS including genes involved in thyroid hormone production. The pathogenicity of novel mutations was assessed based on in silico prediction tool results, functional studies when possible, variant location in important protein domains, and a review of the recent literature. RESULTS: TNGS with variant prioritization and detailed assessment identified likely disease-causing mutations in 10 patients (53%). Monogenic defects most often involved TG, followed by DUOXA2, DUOX2, and NIS and were usually homozygous or compound heterozygous. Our review shows the importance of the detailed phenotypic description of patients and accurate analysis of variants to provide a molecular diagnosis. CONCLUSIONS: In a clinically well-characterized cohort, TNGS had a diagnostic yield of 53%, in accordance with previous studies using a similar strategy. TG mutations were the most common genetic defect. TNGS identified gene mutations causing DH, thereby providing a rapid and cost-effective genetic diagnosis in patients with CH due to DH. Frontiers Media S.A. 2021-02-22 /pmc/articles/PMC7937947/ /pubmed/33692749 http://dx.doi.org/10.3389/fendo.2020.545339 Text en Copyright © 2021 Stoupa, Al Hage Chehade, Chaabane, Kariyawasam, Szinnai, Hanein, Bole-Feysot, Fourrage, Nitschke, Thalassinos, Pinto, Mnif, Baron, De Kerdanet, Reynaud, Barat, Hachicha, Belguith, Polak and Carré 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 Endocrinology
Stoupa, Athanasia
Al Hage Chehade, Ghada
Chaabane, Rim
Kariyawasam, Dulanjalee
Szinnai, Gabor
Hanein, Sylvain
Bole-Feysot, Christine
Fourrage, Cécile
Nitschke, Patrick
Thalassinos, Caroline
Pinto, Graziella
Mnif, Mouna
Baron, Sabine
De Kerdanet, Marc
Reynaud, Rachel
Barat, Pascal
Hachicha, Mongia
Belguith, Neila
Polak, Michel
Carré, Aurore
High Diagnostic Yield of Targeted Next-Generation Sequencing in a Cohort of Patients With Congenital Hypothyroidism Due to Dyshormonogenesis
title High Diagnostic Yield of Targeted Next-Generation Sequencing in a Cohort of Patients With Congenital Hypothyroidism Due to Dyshormonogenesis
title_full High Diagnostic Yield of Targeted Next-Generation Sequencing in a Cohort of Patients With Congenital Hypothyroidism Due to Dyshormonogenesis
title_fullStr High Diagnostic Yield of Targeted Next-Generation Sequencing in a Cohort of Patients With Congenital Hypothyroidism Due to Dyshormonogenesis
title_full_unstemmed High Diagnostic Yield of Targeted Next-Generation Sequencing in a Cohort of Patients With Congenital Hypothyroidism Due to Dyshormonogenesis
title_short High Diagnostic Yield of Targeted Next-Generation Sequencing in a Cohort of Patients With Congenital Hypothyroidism Due to Dyshormonogenesis
title_sort high diagnostic yield of targeted next-generation sequencing in a cohort of patients with congenital hypothyroidism due to dyshormonogenesis
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7937947/
https://www.ncbi.nlm.nih.gov/pubmed/33692749
http://dx.doi.org/10.3389/fendo.2020.545339
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