Targeted massively parallel sequencing for congenital generalized lipodystrophy

Detalhes bibliográficos
Autor(a) principal: Costa-Riquetto,Aline D.
Data de Publicação: 2020
Outros Autores: 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.
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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spelling 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
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972020000500559
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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
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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
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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)
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