Targeted massively parallel sequencing for congenital generalized lipodystrophy
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Arquivos de Endocrinologia e Metabolismo (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972020000500559 |
Resumo: | ABSTRACT 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. |
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Arquivos de Endocrinologia e Metabolismo (Online) |
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Targeted massively parallel sequencing for congenital generalized lipodystrophyCongenital generalized lipodystrophyBerardinelli-Seip syndromemassively parallel sequencingdeep sequencingABSTRACT 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 Metabologia2020-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972020000500559Archives of Endocrinology and Metabolism v.64 n.5 2020reponame:Arquivos de Endocrinologia e Metabolismo (Online)instname:Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)instacron:SBEM10.20945/2359-3997000000278info:eu-repo/semantics/openAccessCosta-Riquetto,Aline D.Santana,Lucas S.Caetano,Lílian A.Lerário,Antônio M.Correia-Deur,Joya E. M.Bertola,Débora R.Kim,Chong A.Nery,MárciaJorge,Alexander A. L.Teles,Milena G.eng2020-10-19T00:00:00Zoai:scielo:S2359-39972020000500559Revistahttps://www.aem-sbem.com/https://old.scielo.br/oai/scielo-oai.php||aem.editorial.office@endocrino.org.br2359-42922359-3997opendoar:2020-10-19T00:00Arquivos de Endocrinologia e Metabolismo (Online) - Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)false |
dc.title.none.fl_str_mv |
Targeted massively parallel sequencing for congenital generalized lipodystrophy |
title |
Targeted massively parallel sequencing for congenital generalized lipodystrophy |
spellingShingle |
Targeted massively parallel sequencing for congenital generalized lipodystrophy Costa-Riquetto,Aline D. Congenital generalized lipodystrophy Berardinelli-Seip syndrome massively parallel sequencing deep sequencing |
title_short |
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_sort |
Targeted massively parallel sequencing for congenital generalized lipodystrophy |
author |
Costa-Riquetto,Aline D. |
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_role |
author |
author2 |
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. |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
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. |
dc.subject.por.fl_str_mv |
Congenital generalized lipodystrophy Berardinelli-Seip syndrome massively parallel sequencing deep sequencing |
topic |
Congenital generalized lipodystrophy Berardinelli-Seip syndrome massively parallel sequencing deep sequencing |
description |
ABSTRACT 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. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-10-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972020000500559 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972020000500559 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.20945/2359-3997000000278 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Endocrinologia e Metabologia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Endocrinologia e Metabologia |
dc.source.none.fl_str_mv |
Archives of Endocrinology and Metabolism v.64 n.5 2020 reponame:Arquivos de Endocrinologia e Metabolismo (Online) instname:Sociedade Brasileira de Endocrinologia e Metabologia (SBEM) instacron:SBEM |
instname_str |
Sociedade Brasileira de Endocrinologia e Metabologia (SBEM) |
instacron_str |
SBEM |
institution |
SBEM |
reponame_str |
Arquivos de Endocrinologia e Metabolismo (Online) |
collection |
Arquivos de Endocrinologia e Metabolismo (Online) |
repository.name.fl_str_mv |
Arquivos de Endocrinologia e Metabolismo (Online) - Sociedade Brasileira de Endocrinologia e Metabologia (SBEM) |
repository.mail.fl_str_mv |
||aem.editorial.office@endocrino.org.br |
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1752122517395341312 |