dc.contributor.author
Toma, Claudio
dc.contributor.author
Díaz Gay, Marcos
dc.contributor.author
Franch Expósito, Sebastià
dc.contributor.author
Arnau Collell, Coral
dc.contributor.author
Overs, Bronwyn
dc.contributor.author
Muñoz, Jenifer
dc.contributor.author
Bonjoch Gassol, Laia
dc.contributor.author
Soares de Lima, Yasmin
dc.contributor.author
Ocaña, Teresa
dc.contributor.author
Cuatrecasas Freixas, Miriam
dc.contributor.author
Castells Garangou, Antoni
dc.contributor.author
Bujanda, Luis
dc.contributor.author
Balaguer Prunés, Francesc
dc.contributor.author
Cubiella, Joaquín
dc.contributor.author
Caldés, Trinidad
dc.contributor.author
Fullerton, Janice M.
dc.contributor.author
Castellví Bel, Sergi
dc.date.issued
2021-03-02T14:54:07Z
dc.date.issued
2021-03-02T14:54:07Z
dc.date.issued
2019-09-16
dc.date.issued
2021-03-02T14:54:07Z
dc.identifier
https://hdl.handle.net/2445/174559
dc.description.abstract
Colorectal 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
application/pdf
dc.relation
Reproducció del document publicat a: https://doi.org/10.1002/ijc.32683
dc.relation
International Journal of Cancer, 2019, vol. 146, num. 6, p. 1568-1577
dc.relation
https://doi.org/10.1002/ijc.32683
dc.relation
info:eu-repo/grantAgreement/EC/H2020/713673/EU//INPhINIT
dc.rights
(c) cc-by-nc, Toma et. al., 2019
dc.rights
http://creativecommons.org/licenses/by-nc/3.0/es/
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Fonaments Clínics)
dc.subject
Càncer colorectal
dc.subject
Colorectal cancer
dc.title
Using linkage studies combined with whole-exome sequencing to identify novel candidate genes for familial colorectal cancer
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/acceptedVersion
dc.type
info:eu-repo/semantics/publishedVersion