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dc.rights.licenseopenen_US
dc.contributor.authorBOCHER, Ozvan
dc.contributor.authorLUDWIG, Thomas E.
dc.contributor.authorOGLOBINSKY, Marie-Sophie
dc.contributor.authorMARENNE, Gaelle
dc.contributor.authorDELEUZE, Jean-Francois
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorSURYAKANT, Suryakant
dc.contributor.authorODEBERG, Jacob
dc.contributor.authorMORANGE, Pierre-Emmanuel
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorTREGOUET, David-Alexandre
dc.contributor.authorPERDRY, Herve
dc.contributor.authorGENIN, Emmanuelle
dc.date.accessioned2022-10-31T09:22:46Z
dc.date.available2022-10-31T09:22:46Z
dc.date.issued2022-09-16
dc.identifier.issn1553-7404 (Electronic) 1553-7390 (Linking)en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/170166
dc.description.abstractEnRare variant association tests (RVAT) have been developed to study the contribution of rare variants widely accessible through high-throughput sequencing technologies. RVAT require to aggregate rare variants in testing units and to filter variants to retain only the most likely causal ones. In the exome, genes are natural testing units and variants are usually filtered based on their functional consequences. However, when dealing with whole-genome sequence (WGS) data, both steps are challenging. No natural biological unit is available for aggregating rare variants. Sliding windows procedures have been proposed to circumvent this difficulty, however they are blind to biological information and result in a large number of tests. We propose a new strategy to perform RVAT on WGS data: "RAVA-FIRST" (RAre Variant Association using Functionally-InfoRmed STeps) comprising three steps. (1) New testing units are defined genome-wide based on functionally-adjusted Combined Annotation Dependent Depletion (CADD) scores of variants observed in the gnomAD populations, which are referred to as "CADD regions". (2) A region-dependent filtering of rare variants is applied in each CADD region. (3) A functionally-informed burden test is performed with sub-scores computed for each genomic category within each CADD region. Both on simulations and real data, RAVA-FIRST was found to outperform other WGS-based RVAT. Applied to a WGS dataset of venous thromboembolism patients, we identified an intergenic region on chromosome 18 enriched for rare variants in early-onset patients. This region that was missed by standard sliding windows procedures is included in a TAD region that contains a strong candidate gene. RAVA-FIRST enables new investigations of rare non-coding variants in complex diseases, facilitated by its implementation in the R package Ravages.
dc.description.sponsorshipMedical Genomics - ANR-10-LABX-0013en_US
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.title.enTesting for association with rare variants in the coding and non-coding genome: RAVA-FIRST, a new approach based on CADD deleteriousness score
dc.typeArticle de revueen_US
dc.identifier.doi10.1371/journal.pgen.1009923en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed36112662en_US
bordeaux.journalPLoS Geneticsen_US
bordeaux.volume18en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.issue9en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamELEANOR_BPHen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.identifier.funderIDAgence Nationale de la Rechercheen_US
hal.identifierhal-03834899
hal.version1
hal.date.transferred2022-10-31T09:22:55Z
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=PLoS%20Genetics&rft.date=2022-09-16&rft.volume=18&rft.issue=9&rft.eissn=1553-7404%20(Electronic)%201553-7390%20(Linking)&rft.issn=1553-7404%20(Electronic)%201553-7390%20(Linking)&rft.au=BOCHER,%20Ozvan&LUDWIG,%20Thomas%20E.&OGLOBINSKY,%20Marie-Sophie&MARENNE,%20Gaelle&DELEUZE,%20Jean-Francois&rft.genre=article


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