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A search for modifying genetic factors in CHEK2:c.1100delC breast cancer patients
Department of Clinical Science and Education, Karolinska Institutet, Södersjukhuset, Stockholm, Sweden.
Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland.
Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland.
Department of Molecular Medicine and Surgery, Karolinska Institutet, Solna, Stockholm, Sweden.
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2021 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 11, no 1, article id 14763Article in journal (Refereed) Published
Abstract [en]

The risk of breast cancer associated with CHEK2:c.1100delC is 2–threefold but higher in carriers with a family history of breast cancer than without, suggesting that other genetic loci in combination with CHEK2:c.1100delC confer an increased risk in a polygenic model. Part of the excess familial risk has been associated with common low-penetrance variants. This study aimed to identify genetic loci that modify CHEK2:c.1100delC-associated breast cancer risk by searching for candidate risk alleles that are overrepresented in CHEK2:c.1100delC carriers with breast cancer compared with controls. We performed whole-exome sequencing in 28 breast cancer cases with germline CHEK2:c.1100delC, 28 familial breast cancer cases and 70 controls. Candidate alleles were selected for validation in larger cohorts. One recessive synonymous variant, rs16897117, was suggested, but no overrepresentation of homozygous CHEK2:c.1100delC carriers was found in the following validation. Furthermore, 11 non-synonymous candidate alleles were suggested for further testing, but no significant difference in allele frequency could be detected in the validation in CHEK2:c.1100delC cases compared with familial breast cancer, sporadic breast cancer and controls. With this method, we found no support for a CHEK2:c.1100delC-specific genetic modifier. Further studies of CHEK2:c.1100delC genetic modifiers are warranted to improve risk assessment in clinical practice.

Place, publisher, year, edition, pages
Nature Research , 2021. Vol. 11, no 1, article id 14763
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Cancer and Oncology
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URN: urn:nbn:se:umu:diva-191030DOI: 10.1038/s41598-021-93926-xISI: 000692201200023PubMedID: 34285278Scopus ID: 2-s2.0-85111079800OAI: oai:DiVA.org:umu-191030DiVA, id: diva2:1624948
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Region StockholmAvailable from: 2022-01-05 Created: 2022-01-05 Last updated: 2023-03-23Bibliographically approved

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Melin, Beatrice S.

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