<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>64(5)</volume><submitter>Costa-Riquetto AD</submitter><pubmed_abstract>&lt;h4>Objective&lt;/h4>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).&lt;h4>Methods&lt;/h4>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.&lt;h4>Results&lt;/h4>An accurate genetic diagnosis was stated for all nine patients. Four had pathogenic variants in &lt;i>AGPAT2&lt;/i> and three in &lt;i>BSCL2&lt;/i>. Three large homozygous deletions in &lt;i>AGPAT2&lt;/i> were identified by copy-number variant analysis.&lt;h4>Conclusion&lt;/h4>Although we have found allelic variants in on</pubmed_abstract><journal>Archives of endocrinology and metabolism</journal><pagination>559-566</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10118969</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Targeted massively parallel sequencing for congenital generalized lipodystrophy.</pubmed_title><pmcid>PMC10118969</pmcid><pubmed_authors>Correia-Deur JEM</pubmed_authors><pubmed_authors>Costa-Riquetto AD</pubmed_authors><pubmed_authors>Santana LS</pubmed_authors><pubmed_authors>Nery M</pubmed_authors><pubmed_authors>Jorge AAL</pubmed_authors><pubmed_authors>Teles MG</pubmed_authors><pubmed_authors>Caetano LA</pubmed_authors><pubmed_authors>Kim CA</pubmed_authors><pubmed_authors>Lerario AM</pubmed_authors><pubmed_authors>Bertola DR</pubmed_authors></additional><is_claimable>false</is_claimable><name>Targeted massively parallel sequencing for congenital generalized lipodystrophy.</name><description>&lt;h4>Objective&lt;/h4>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).&lt;h4>Methods&lt;/h4>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.&lt;h4>Results&lt;/h4>An accurate genetic diagnosis was stated for all nine patients. Four had pathogenic variants in &lt;i>AGPAT2&lt;/i> and three in &lt;i>BSCL2&lt;/i>. Three large homozygous deletions in &lt;i>AGPAT2&lt;/i> were identified by copy-number variant analysis.&lt;h4>Conclusion&lt;/h4>Although we have found allelic variants in on</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 May</publication><modification>2025-04-04T10:22:10.45Z</modification><creation>2025-02-19T02:38:39.966Z</creation></dates><accession>S-EPMC10118969</accession><cross_references><pubmed>34033296</pubmed><doi>10.20945/2359-3997000000278</doi></cross_references></HashMap>