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dc.contributor.authorSingh, Ashish Kumar
dc.contributor.authorTalseth-Palmer, Bente Anita
dc.contributor.authorXavier, Alexandre
dc.contributor.authorScott, Rodney J.
dc.contributor.authorDrabløs, Finn Sverre
dc.contributor.authorSjursen, Wenche
dc.date.accessioned2023-11-03T13:31:36Z
dc.date.available2023-11-03T13:31:36Z
dc.date.created2023-08-17T08:47:24Z
dc.date.issued2023
dc.identifier.citationBMC Medical Genomics. 2023, 16 (1), .en_US
dc.identifier.issn1755-8794
dc.identifier.urihttps://hdl.handle.net/11250/3100563
dc.description.abstractBackground Hereditary genetic mutations causing predisposition to colorectal cancer are accountable for approximately 30% of all colorectal cancer cases. However, only a small fraction of these are high penetrant mutations occurring in DNA mismatch repair genes, causing one of several types of familial colorectal cancer (CRC) syndromes. Most of the mutations are low-penetrant variants, contributing to an increased risk of familial colorectal cancer, and they are often found in additional genes and pathways not previously associated with CRC. The aim of this study was to identify such variants, both high-penetrant and low-penetrant ones. Methods We performed whole exome sequencing on constitutional DNA extracted from blood of 48 patients suspected of familial colorectal cancer and used multiple in silico prediction tools and available literature-based evidence to detect and investigate genetic variants. Results We identified several causative and some potentially causative germline variants in genes known for their association with colorectal cancer. In addition, we identified several variants in genes not typically included in relevant gene panels for colorectal cancer, including CFTR, PABPC1 and TYRO3, which may be associated with an increased risk for cancer. Conclusions Identification of variants in additional genes that potentially can be associated with familial colorectal cancer indicates a larger genetic spectrum of this disease, not limited only to mismatch repair genes. Usage of multiple in silico tools based on different methods and combined through a consensus approach increases the sensitivity of predictions and narrows down a large list of variants to the ones that are most likely to be significant.en_US
dc.language.isoengen_US
dc.publisherBMCen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleDetection of germline variants with pathogenic potential in 48 patients with familial colorectal cancer by using whole exome sequencingen_US
dc.title.alternativeDetection of germline variants with pathogenic potential in 48 patients with familial colorectal cancer by using whole exome sequencingen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber0en_US
dc.source.volume16en_US
dc.source.journalBMC Medical Genomicsen_US
dc.source.issue1en_US
dc.identifier.doi10.1186/s12920-023-01562-3
dc.identifier.cristin2167556
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal