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  • Bocher, OzvanUniv Brest, INSERM, EFS, UMR 1078,GGB, Brest, France.;Helmholtz Zentrum Munchen, Inst Translat Genom, Munich, Germany. (author)

Testing for association with rare variants in the coding and non-coding genome : RAVA-FIRST, a new approach based on CADD deleteriousness score

  • Article/chapterEnglish2022

Publisher, publication year, extent ...

  • 2022-09-16
  • Public Library of Science (PLoS),2022
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:kth-324754
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-324754URI
  • https://doi.org/10.1371/journal.pgen.1009923DOI

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  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • QC 20230315
  • Rare 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.

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  • Ludwig, Thomas E.Univ Brest, INSERM, EFS, UMR 1078,GGB, Brest, France.;CHU Brest, Brest, France. (author)
  • Oglobinsky, Marie-SophieUniv Brest, INSERM, EFS, UMR 1078,GGB, Brest, France. (author)
  • Marenne, GaeelleUniv Brest, INSERM, EFS, UMR 1078,GGB, Brest, France. (author)
  • Deleuze, Jean-FrancoisUniv Paris Saclay, Ctr Natl Rech Genom Humaine CNRGH, Inst Biol Francois Jacob, CEA, Evry, France. (author)
  • Suryakant, SuryakantUniv Bordeaux, INSERM, Bordeaux Populat Hlth Res Ctr, Team ELEANOR,UMR 1219, Bordeaux, France. (author)
  • Odeberg, Jacob,Professor,1963-KTH,Science for Life Laboratory, SciLifeLab,Proteinvetenskap,Arctic Univ Tromso, Dept Clin Med, Fac Hlth Sci, Tromso, Norway.(Swepub:kth)u1e4yljo (author)
  • Morange, Pierre-EmmanuelAix Marseille Univ, INSERM, INRAE, C2VN, Marseille, France. (author)
  • Tregoueet, David-AlexandreUniv Bordeaux, INSERM, Bordeaux Populat Hlth Res Ctr, Team ELEANOR,UMR 1219, Bordeaux, France. (author)
  • Perdry, HerveUniv Paris Saclay, Univ Paris Sud, UFR Med, CESP Inserm,U1018, Villejuif, France. (author)
  • Genin, EmmanuelleUniv Brest, INSERM, EFS, UMR 1078,GGB, Brest, France.;CHU Brest, Brest, France. (author)
  • Univ Brest, INSERM, EFS, UMR 1078,GGB, Brest, France.;Helmholtz Zentrum Munchen, Inst Translat Genom, Munich, Germany.Univ Brest, INSERM, EFS, UMR 1078,GGB, Brest, France.;CHU Brest, Brest, France. (creator_code:org_t)

Related titles

  • In:PLOS Genetics: Public Library of Science (PLoS)18:9, s. e1009923-1553-73901553-7404

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