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dc.rights.licenseopenen_US
dc.contributor.authorPERRET, Claire
dc.contributor.authorPROUST, Carole
dc.contributor.authorESSLINGER, Ulrike
dc.contributor.authorADER, Flavie
dc.contributor.authorHAAS, Jan
dc.contributor.authorPRUNY, Jean-Francois
dc.contributor.authorISNARD, Richard
dc.contributor.authorRICHARD, Pascale
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorTREGOUET, David-Alexandre
dc.contributor.authorCHARRON, Philippe
dc.contributor.authorCAMBIEN, Francois
dc.contributor.authorVILLARD, Eric
dc.date.accessioned2024-01-16T16:00:47Z
dc.date.available2024-01-16T16:00:47Z
dc.date.issued2024-02
dc.identifier.issn1399-0004en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/187280
dc.description.abstractEnDilated cardiomyopathy (DCM) is a heart disease characterized by left ventricular dilatation and systolic dysfunction. In 30% of cases, pathogenic variants, essentially private to each patient, are identified in at least one of almost 50 reported genes. Thus, while costly, exons capture-based Next Generation Sequencing (NGS) of a targeted gene panel appears as the best strategy to genetically diagnose DCM. Here, we report a NGS strategy applied to pools of 8 DNAs from DCM patients and validate its robustness for rare variants detection at 4-fold reduced cost. Our pipeline uses Freebayes to detect variants with the expected 1/16 allele frequency. From the whole set of detected rare variants in 96 pools we set the variants quality parameters optimizing true positives calling. When compared to simplex DNA sequencing in a shared subset of 50 DNAs, 96% of SNVs/InsDel were accurately identified in pools. Extended to the 384 DNAs included in the study, we detected 100 variants (ACMG class 4 and 5), mostly in well-known morbid gene causing DCM such as TTN, MYH7, FLNC, and TNNT2. To conclude, we report an original pool-sequencing NGS method accurately detecting rare variants. This innovative approach is cost-effective for genetic diagnostic in rare diseases.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.encardiomyopathy
dc.subject.enDNAs-pool
dc.subject.engenetic diagnosis
dc.subject.enNext Generation Sequencing
dc.title.enDNA-pools targeted-sequencing as a robust cost-effective method to detect rare variants: Application to dilated cardiomyopathy genetic diagnosis
dc.title.alternativeClin Geneten_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1111/cge.14427en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed37904629en_US
bordeaux.journalClinical Geneticsen_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamELEANOR_BPHen_US
bordeaux.teamBIOSTAT_BPHen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Clinical%20Genetics&rft.date=2024-02&rft.eissn=1399-0004&rft.issn=1399-0004&rft.au=PERRET,%20Claire&PROUST,%20Carole&ESSLINGER,%20Ulrike&ADER,%20Flavie&HAAS,%20Jan&rft.genre=article


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