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dc.contributor.authorSingh, Ashish Kumar
dc.contributor.authorMcPhillips, Mary
dc.contributor.authorTalseth-Palmer, Bente
dc.contributor.authorLavik, Liss Ane
dc.contributor.authorXavier, Alexandre
dc.contributor.authorDrabløs, Finn
dc.contributor.authorSjursen, Wenche
dc.date.accessioned2020-08-20T07:28:43Z
dc.date.available2020-08-20T07:28:43Z
dc.date.created2020-08-19T15:38:34Z
dc.date.issued2020
dc.identifier.citationPLOS ONE. 2020, 15 (7), .en_US
dc.identifier.issn1932-6203
dc.identifier.urihttps://hdl.handle.net/11250/2673083
dc.description.abstractGermline variants inactivating the mismatch repair (MMR) genes MLH1, MSH2, MSH6 and PMS2 cause Lynch syndrome that implies an increased cancer risk, where colon and endometrial cancer are the most frequent. Identification of these pathogenic variants is important to identify endometrial cancer patients with inherited increased risk of new cancers, in order to offer them lifesaving surveillance. However, several other genes are also part of the MMR pathway. It is therefore relevant to search for variants in additional genes that may be associated with cancer risk by including all known genes involved in the MMR pathway. Next-generation sequencing was used to screen 22 genes involved in the MMR pathway in constitutional DNA extracted from full blood from 199 unselected endometrial cancer patients. Bioinformatic pipelines were developed for identification and functional annotation of variants, using several different software tools and custom programs. This facilitated identification of 22 exonic, 4 UTR and 9 intronic variants that could be classified according to pathogenicity. This study has identified several germline variants in genes of the MMR pathway that potentially may be associated with an increased risk for cancer, in particular endometrial cancer, and therefore are relevant for further investigation. We have also developed bioinformatics strategies to analyse targeted sequencing data, including low quality data and genomic regions outside of the protein coding exons of the relevant genes.en_US
dc.language.isoengen_US
dc.publisherPublic Library of Science (PLOS)en_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleTargeted sequencing of genes associated with the mismatch repair pathway in patients with endometrial canceren_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber19en_US
dc.source.volume15en_US
dc.source.journalPLOS ONEen_US
dc.source.issue7en_US
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0235613
dc.identifier.cristin1824122
dc.description.localcodeCopyright: © 2020 Singh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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