Using linkage studies combined with whole-exome sequencing to identify novel candidate genes for familial colorectal cancer

dc.contributor.authorToma, Claudio
dc.contributor.authorDíaz Gay, Marcos
dc.contributor.authorFranch Expósito, Sebastià
dc.contributor.authorArnau Collell, Coral
dc.contributor.authorOvers, Bronwyn
dc.contributor.authorMuñoz, Jenifer
dc.contributor.authorBonjoch Gassol, Laia
dc.contributor.authorSoares de Lima, Yasmin
dc.contributor.authorOcaña, Teresa
dc.contributor.authorCuatrecasas Freixas, Miriam
dc.contributor.authorCastells Garangou, Antoni
dc.contributor.authorBujanda, Luis
dc.contributor.authorBalaguer Prunés, Francesc
dc.contributor.authorCubiella, Joaquín
dc.contributor.authorCaldés, Trinidad
dc.contributor.authorFullerton, Janice M.
dc.contributor.authorCastellví Bel, Sergi
dc.date.accessioned2021-03-02T14:54:07Z
dc.date.available2021-03-02T14:54:07Z
dc.date.issued2019-09-16
dc.date.updated2021-03-02T14:54:07Z
dc.description.abstractColorectal cancer (CRC) is a complex disorder for which the majority of the underlying germline predisposition factors remain still unidentified. Here, we combined whole‐exome sequencing (WES) and linkage analysis in families with multiple relatives affected by CRC to identify candidate genes harboring rare variants with potential high‐penetrance effects. Forty‐seven affected subjects from 18 extended CRC families underwent WES. Genome‐wide linkage analysis was performed under linear and exponential models. Suggestive linkage peaks were identified on chromosomes 1q22-q24.2 (maxSNP = rs2134095; LODlinear = 2.38, LODexp = 2.196), 7q31.2-q34 (maxSNP = rs6953296; LODlinear = 2.197, LODexp = 2.149) and 10q21.2-q23.1 (maxSNP = rs1904589; LODlinear = 1.445, LODexp = 2.195). These linkage signals were replicated in 10 independent sets of random markers from each of these regions. To assess the contribution of rare variants predicted to be pathogenic, we performed a family‐based segregation test with 89 rare variants predicted to be deleterious from 78 genes under the linkage intervals. This analysis showed significant segregation of rare variants with CRC in 18 genes (weighted p‐value > 0.0028). Protein network analysis and functional evaluation were used to suggest a plausible candidate gene for germline CRC predisposition. Etiologic rare variants implicated in cancer germline predisposition may be identified by combining traditional linkage with WES data. This approach can be used with already available NGS data from families with several sequenced members to further identify candidate genes involved germline predisposition to disease. This approach resulted in one candidate gene associated with increased risk of CRC but needs evidence from further studies.
dc.format.extent10 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec695494
dc.identifier.issn0020-7136
dc.identifier.pmid31525256
dc.identifier.urihttps://hdl.handle.net/2445/174559
dc.language.isoeng
dc.publisherWiley
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1002/ijc.32683
dc.relation.ispartofInternational Journal of Cancer, 2019, vol. 146, num. 6, p. 1568-1577
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/713673/EU//INPhINIT
dc.relation.urihttps://doi.org/10.1002/ijc.32683
dc.rights(c) cc-by-nc, Toma et. al., 2019
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/es/*
dc.sourceArticles publicats en revistes (Fonaments Clínics)
dc.subject.classificationCàncer colorectal
dc.subject.classificationGenomes
dc.subject.otherColorectal cancer
dc.subject.otherGenomes
dc.titleUsing linkage studies combined with whole-exome sequencing to identify novel candidate genes for familial colorectal cancer
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typeinfo:eu-repo/semantics/publishedVersion

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