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Targeted massively parallel sequencing for congenital generalized lipodystrophy
OBJECTIVE: Our aim is to establish genetic diagnosis of congenital generalized lipodystrophy (CGL) using targeted massively parallel sequencing (MPS), also known as next-generation sequencing (NGS). SUBJECTS AND METHODS: Nine unrelated individuals with a clinical diagnosis of CGL were recruited. We...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Endocrinologia e Metabologia
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10118969/ https://www.ncbi.nlm.nih.gov/pubmed/34033296 http://dx.doi.org/10.20945/2359-3997000000278 |
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author | Costa-Riquetto, Aline D. Santana, Lucas S. Caetano, Lílian A. Lerário, Antônio M. Correia-Deur, Joya E. M. Bertola, Débora R. Kim, Chong A. Nery, Márcia Jorge, Alexander A. L. Teles, Milena G. |
author_facet | Costa-Riquetto, Aline D. Santana, Lucas S. Caetano, Lílian A. Lerário, Antônio M. Correia-Deur, Joya E. M. Bertola, Débora R. Kim, Chong A. Nery, Márcia Jorge, Alexander A. L. Teles, Milena G. |
author_sort | Costa-Riquetto, Aline D. |
collection | PubMed |
description | OBJECTIVE: Our aim is to establish genetic diagnosis of congenital generalized lipodystrophy (CGL) using targeted massively parallel sequencing (MPS), also known as next-generation sequencing (NGS). SUBJECTS AND METHODS: Nine unrelated individuals with a clinical diagnosis of CGL were recruited. We used a customized panel to capture genes related to genetic lipodystrophies. DNA libraries were generated, sequenced using the Illumina MiSeq, and bioinformatics analysis was performed. RESULTS: An accurate genetic diagnosis was stated for all nine patients. Four had pathogenic variants in AGPAT2 and three in BSCL2. Three large homozygous deletions in AGPAT2 were identified by copy-number variant analysis. CONCLUSIONS: Although we have found allelic variants in only 2 genes related to CGL, the panel was able to identify different variants including deletions that would have been missed by Sanger sequencing. We believe that MPS is a valuable tool for the genetic diagnosis of multi-genes related diseases, including CGL. |
format | Online Article Text |
id | pubmed-10118969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Sociedade Brasileira de Endocrinologia e Metabologia |
record_format | MEDLINE/PubMed |
spelling | pubmed-101189692023-04-21 Targeted massively parallel sequencing for congenital generalized lipodystrophy Costa-Riquetto, Aline D. Santana, Lucas S. Caetano, Lílian A. Lerário, Antônio M. Correia-Deur, Joya E. M. Bertola, Débora R. Kim, Chong A. Nery, Márcia Jorge, Alexander A. L. Teles, Milena G. Arch Endocrinol Metab Original Article OBJECTIVE: Our aim is to establish genetic diagnosis of congenital generalized lipodystrophy (CGL) using targeted massively parallel sequencing (MPS), also known as next-generation sequencing (NGS). SUBJECTS AND METHODS: Nine unrelated individuals with a clinical diagnosis of CGL were recruited. We used a customized panel to capture genes related to genetic lipodystrophies. DNA libraries were generated, sequenced using the Illumina MiSeq, and bioinformatics analysis was performed. RESULTS: An accurate genetic diagnosis was stated for all nine patients. Four had pathogenic variants in AGPAT2 and three in BSCL2. Three large homozygous deletions in AGPAT2 were identified by copy-number variant analysis. CONCLUSIONS: Although we have found allelic variants in only 2 genes related to CGL, the panel was able to identify different variants including deletions that would have been missed by Sanger sequencing. We believe that MPS is a valuable tool for the genetic diagnosis of multi-genes related diseases, including CGL. Sociedade Brasileira de Endocrinologia e Metabologia 2020-08-24 /pmc/articles/PMC10118969/ /pubmed/34033296 http://dx.doi.org/10.20945/2359-3997000000278 Text en https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Costa-Riquetto, Aline D. Santana, Lucas S. Caetano, Lílian A. Lerário, Antônio M. Correia-Deur, Joya E. M. Bertola, Débora R. Kim, Chong A. Nery, Márcia Jorge, Alexander A. L. Teles, Milena G. Targeted massively parallel sequencing for congenital generalized lipodystrophy |
title | Targeted massively parallel sequencing for congenital generalized lipodystrophy |
title_full | Targeted massively parallel sequencing for congenital generalized lipodystrophy |
title_fullStr | Targeted massively parallel sequencing for congenital generalized lipodystrophy |
title_full_unstemmed | Targeted massively parallel sequencing for congenital generalized lipodystrophy |
title_short | Targeted massively parallel sequencing for congenital generalized lipodystrophy |
title_sort | targeted massively parallel sequencing for congenital generalized lipodystrophy |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10118969/ https://www.ncbi.nlm.nih.gov/pubmed/34033296 http://dx.doi.org/10.20945/2359-3997000000278 |
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