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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, Laia
dc.contributor.authorSoares de Lima, Yasmin
dc.contributor.authorOcaña, Teresa
dc.contributor.authorCuatrecasas, Miriam
dc.contributor.authorCastells, Antoni
dc.contributor.authorBujanda Fernández de Pierola, Luis ORCID
dc.contributor.authorBalaguer, Francesc
dc.contributor.authorCubiella, Joaquín
dc.contributor.authorCaldés, Trinidad
dc.contributor.authorFullerton, Janice M.
dc.contributor.authorCastellví Bel, Sergi
dc.date.accessioned2020-02-28T09:23:54Z
dc.date.available2020-02-28T09:23:54Z
dc.date.issued2019-11
dc.identifier.citationInternational Journal of Cancer 146(6) : 1568-1577 (2019)es_ES
dc.identifier.issn0020-7136
dc.identifier.urihttp://hdl.handle.net/10810/41846
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.es_ES
dc.description.sponsorshipGrant sponsor: "la Caixa" Foundation; Grant number: LCF/BQ/DI18/11660058; Grant sponsor: Agencia de Gestio d'Ajuts Universitaris i de Recerca; Grant numbers: 2018FI_B1_00213, GRPRE 2017SGR21, GRC 2017SGR653; Grant sponsor: Australian National Health and Medical Research; Grant numbers: 1063960, 1066177; Grant sponsor: COST (European Cooperation in Science and Technology); Grant number: CA17118; Grant sponsor: Departament d'Universitats, Recerca i Societat de la Informacio; Grant sponsor: Fondo de Investigacion Sanitaria/FEDER; Grant number: 17/00878; Grant sponsor: Fundacion Cientifica de la Asociacion Espanola contra el Cancer; Grant number: GCB13131592CAST; Grant sponsor: Generalitat de Catalunya, Salut; Grant number: PERIS SLT002/16/00398; Grant sponsor: Instituto de Salud Carlos III; Grant sponsor: Juan de la Cierva postdoctoral contract; Grant number: FJCI-2017-32593es_ES
dc.language.isoenges_ES
dc.publisherWileyes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectcolorectal canceres_ES
dc.subjectwhole-exome sequencinges_ES
dc.subjectlinkage analysises_ES
dc.subjectgenetic predisposition to diseasees_ES
dc.subjectcopy number variantses_ES
dc.subjectrare variantses_ES
dc.subjectpredispositiones_ES
dc.subjectmutationes_ES
dc.subjectgeneticses_ES
dc.subjectpathwayes_ES
dc.titleUsing linkage studies combined with whole-exome sequencing to identify novel candidate genes for familial colorectal canceres_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holderThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.es_ES
dc.rights.holderAtribución-NoComercial-SinDerivadas 3.0 España*
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/doi/full/10.1002/ijc.32683es_ES
dc.identifier.doi10.1002/ijc.32683
dc.departamentoesMedicinaes_ES
dc.departamentoeuMedikuntzaes_ES


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This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Except where otherwise noted, this item's license is described as This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.