Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Jul 20;11(1):14763.
doi: 10.1038/s41598-021-93926-x.

A search for modifying genetic factors in CHEK2:c.1100delC breast cancer patients

Affiliations

A search for modifying genetic factors in CHEK2:c.1100delC breast cancer patients

Camilla Wendt et al. Sci Rep. .

Abstract

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.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Flowchart describing the working process of evaluating genotype data in search of variants that specifically modify breast cancer risk in CHEK2:c.1100del carriers. *Breast Cancer Association Consortium.

References

    1. Antoniou AC, et al. Predicting the likelihood of carrying a BRCA1 or BRCA2 mutation: validation of BOADICEA, BRCAPRO, IBIS, Myriad and the Manchester scoring system using data from UK genetics clinics. J. Med. Genet. 2008;45(7):425–431. doi: 10.1136/jmg.2007.056556. - DOI - PubMed
    1. Stratton MR, Rahman N. The emerging landscape of breast cancer susceptibility. Nat. Genet. 2008;40(1):17–22. doi: 10.1038/ng.2007.53. - DOI - PubMed
    1. Apostolou P, Fostira F. Hereditary breast cancer: the era of new susceptibility genes. Biomed. Res. Int. 2013;2013:747318. doi: 10.1155/2013/747318. - DOI - PMC - PubMed
    1. Mavaddat N, et al. Polygenic risk scores for prediction of breast cancer and breast cancer subtypes. Am. J. Hum. Genet. 2019;104(1):21–34. doi: 10.1016/j.ajhg.2018.11.002. - DOI - PMC - PubMed
    1. Michailidou K, et al. Association analysis identifies 65 new breast cancer risk loci. Nature. 2017;551(7678):92–94. doi: 10.1038/nature24284. - DOI - PMC - PubMed

Publication types

Supplementary concepts