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Variants of Uncertain Significances in Hereditary Breast and Ovarian Cancer

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Hereditary Breast and Ovarian Cancer

Abstract

Hereditary breast and ovarian cancer syndrome is a BRCA1- or BRCA2-linked genetic disorder associated with a high risk of developing breast, ovarian, and other cancers. Detection of a BRCA1 or BRCA2 pathogenic variants by genetic testing triggers several clinical management approaches, such as surveillance and prophylactic surgery for healthy carriers, and chemotherapy using poly (ADP-ribose) polymerase (PARP) inhibitors for patients with cancer. Therefore, accurate diagnoses are critical for clinical decision-making and improvement of prognosis.

BRCA1 and BRCA2 variants, whose pathogenicity can be inferred from the genetic code, are classified as pathogenic, likely pathogenic, variants of uncertain significance (VUS), likely benign, or benign. Most variants established to be pathogenic are premature truncation variants, including nonsense or frameshift alterations. VUS are primarily missense and splicing variants and are sequence changes whose impact on function cannot be inferred. Recently, next-generation sequencing has been broadly applied in research and clinical diagnostics to aid both basic research and clinical patient management, where it has led to identification of a vast number of VUS that require interpretation. The pathogenicity of VUS can be evaluated by multifactorial likelihood models that use personal and family history of cancer, segregation data, functional assays, and in silico prediction tools.

Here, we focus on classification of variants in BRCA1 and BRCA2, and the use of functional assays in attempts to classify VUS, with the aim of improving the clinical management and prognosis of carriers and patients.

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References

  1. Miki Y, Swensen J, Shattuck-Eidens D, Futreal PA, Harshman K, Tavtigian S, et al. A strong candidate for the breast and ovarian cancer susceptibility gene BRCA1. Science. 1994;266(5182):66–71.

    Article  CAS  PubMed  Google Scholar 

  2. Wooster R, Bignell G, Lancaster J, Swift S, Seal S, Mangion J, et al. Identification of the breast cancer susceptibility gene BRCA2. Nature. 1995;378(6559):789–92.

    Article  CAS  PubMed  Google Scholar 

  3. Nielsen FC, van Overeem HT, Sorensen CS. Hereditary breast and ovarian cancer: new genes in confined pathways. Nat Rev Cancer. 2016;16(9):599–612.

    Article  CAS  PubMed  Google Scholar 

  4. McCabe N, Turner NC, Lord CJ, Kluzek K, Bialkowska A, Swift S, et al. Deficiency in the repair of DNA damage by homologous recombination and sensitivity to poly(ADP-ribose) polymerase inhibition. Cancer Res. 2006;66(16):8109–15.

    Google Scholar 

  5. Pilie PG, Tang C, Mills GB, Yap TA. State-of-the-art strategies for targeting the DNA damage response in cancer. Nat Rev Clin Oncol. 2019;16(2):81–104.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Balmana J, Digiovanni L, Gaddam P, Walsh MF, Joseph V, Stadler ZK, et al. Conflicting interpretation of genetic variants and cancer risk by commercial laboratories as assessed by the prospective registry of multiplex testing. J Clin Oncol. 2016;34(34):4071–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 2015;17(5):405–24.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Plon SE, Eccles DM, Easton D, Foulkes WD, Genuardi M, Greenblatt MS, et al. Sequence variant classification and reporting: recommendations for improving the interpretation of cancer susceptibility genetic test results. Hum Mutat. 2008;29(11):1282–91.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Lindor NM, Guidugli L, Wang X, Vallee MP, Monteiro AN, Tavtigian S, et al. A review of a multifactorial probability-based model for classification of BRCA1 and BRCA2 variants of uncertain significance (VUS). Hum Mutat. 2012;33(1):8–21.

    Article  CAS  PubMed  Google Scholar 

  10. Goldgar DE, Easton DF, Deffenbaugh AM, Monteiro AN, Tavtigian SV, Couch FJ, et al. Integrated evaluation of DNA sequence variants of unknown clinical significance: application to BRCA1 and BRCA2. Am J Hum Genet. 2004;75(4):535–44.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Goldgar DE, Easton DF, Byrnes GB, Spurdle AB, Iversen ES, Greenblatt MS, et al. Genetic evidence and integration of various data sources for classifying uncertain variants into a single model. Hum Mutat. 2008;29(11):1265–72.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Tavtigian SV, Greenblatt MS, Goldgar DE, Boffetta P, Group IUGVW. Assessing pathogenicity: overview of results from the IARC unclassified genetic variants working group. Hum Mutat. 2008;29(11):1261–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Tavtigian SV, Greenblatt MS, Lesueur F, Byrnes GB, Group IUGVW. In silico analysis of missense substitutions using sequence-alignment based methods. Hum Mutat. 2008;29(11):1327–36.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Landrum MJ, Lee JM, Riley GR, Jang W, Rubinstein WS, Church DM, et al. ClinVar: public archive of relationships among sequence variation and human phenotype. Nucleic Acids Res. 2014;42(Database issue):D980–5.

    Article  CAS  PubMed  Google Scholar 

  15. Landrum MJ, Lee JM, Benson M, Brown G, Chao C, Chitipiralla S, et al. ClinVar: public archive of interpretations of clinically relevant variants. Nucleic Acids Res. 2016;44(D1):D862–8.

    Article  CAS  PubMed  Google Scholar 

  16. Rehm HL, Berg JS, Brooks LD, Bustamante CD, Evans JP, Landrum MJ, et al. ClinGen--the clinical genome resource. N Engl J Med. 2015;372(23):2235–42.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Henrie A, Hemphill SE, Ruiz-Schultz N, Cushman B, DiStefano MT, Azzariti D, et al. ClinVar miner: demonstrating utility of a web-based tool for viewing and filtering ClinVar data. Hum Mutat. 2018;39(8):1051–60.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Fokkema IF, Taschner PE, Schaafsma GC, Celli J, Laros JF, den Dunnen JT. LOVD v.2.0: the next generation in gene variant databases. Hum Mutat. 2011;32(5):557–63.

    Article  CAS  PubMed  Google Scholar 

  19. Stenson PD, Ball EV, Mort M, Phillips AD, Shaw K, Cooper DN. The human gene mutation database (HGMD) and its exploitation in the fields of personalized genomics and molecular evolution. Curr Protoc Bioinformatics. 2012;Chapter 1:Unit1 13.

    PubMed  Google Scholar 

  20. Cline MS, Liao RG, Parsons MT, Paten B, Alquaddoomi F, Antoniou A, et al. BRCA challenge: BRCA exchange as a global resource for variants in BRCA1 and BRCA2. PLoS Genet. 2018;14(12):e1007752.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  21. Jhuraney A, Velkova A, Johnson RC, Kessing B, Carvalho RS, Whiley P, et al. BRCA1 Circos: a visualisation resource for functional analysis of missense variants. J Med Genet. 2015;52(4):224–30.

    Article  CAS  PubMed  Google Scholar 

  22. Lee K, Seifert BA, Shimelis H, Ghosh R, Crowley SB, Carter NJ, et al. Clinical validity assessment of genes frequently tested on hereditary breast and ovarian cancer susceptibility sequencing panels. Genet Med. 2019;21(7):1497–506.

    Article  CAS  PubMed  Google Scholar 

  23. Spurdle AB, Whiley PJ, Thompson B, Feng B, Healey S, Brown MA, et al. BRCA1 R1699Q variant displaying ambiguous functional abrogation confers intermediate breast and ovarian cancer risk. J Med Genet. 2012;49(8):525–32.

    Article  CAS  PubMed  Google Scholar 

  24. Parsons MT, Tudini E, Li H, Hahnen E, Wappenschmidt B, Feliubadalo L, et al. Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: an ENIGMA resource to support clinical variant classification. Hum Mutat. 2019;40(9):1557–78.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Spurdle AB, Healey S, Devereau A, Hogervorst FB, Monteiro AN, Nathanson KL, et al. ENIGMA--evidence-based network for the interpretation of germline mutant alleles: an international initiative to evaluate risk and clinical significance associated with sequence variation in BRCA1 and BRCA2 genes. Hum Mutat. 2012;33(1):2–7.

    Article  CAS  PubMed  Google Scholar 

  26. Lee JS, Oh S, Park SK, Lee MH, Lee JW, Kim SW, et al. Reclassification of BRCA1 and BRCA2 variants of uncertain significance: a multifactorial analysis of multicentre prospective cohort. J Med Genet. 2018;55(12):794–802.

    Article  CAS  PubMed  Google Scholar 

  27. Mesman RLS, Calleja F, Hendriks G, Morolli B, Misovic B, Devilee P, et al. The functional impact of variants of uncertain significance in BRCA2. Genet Med. 2019;21(2):293–302.

    Article  CAS  PubMed  Google Scholar 

  28. Eccles DM, Mitchell G, Monteiro AN, Schmutzler R, Couch FJ, Spurdle AB, et al. BRCA1 and BRCA2 genetic testing-pitfalls and recommendations for managing variants of uncertain clinical significance. Ann Oncol. 2015;26(10):2057–65.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Nakamura S, Takahashi M, Tozaki M, Nakayama T, Nomizu T, Miki Y, et al. Prevalence and differentiation of hereditary breast and ovarian cancers in Japan. Breast Cancer. 2015;22(5):462–8.

    Article  PubMed  Google Scholar 

  30. Arai M, Yokoyama S, Watanabe C, Yoshida R, Kita M, Okawa M, et al. Genetic and clinical characteristics in Japanese hereditary breast and ovarian cancer: first report after establishment of HBOC registration system in Japan. J Hum Genet. 2018;63(4):447–57.

    Article  PubMed  Google Scholar 

  31. Domchek SM, Tang J, Stopfer J, Lilli DR, Hamel N, Tischkowitz M, et al. Biallelic deleterious BRCA1 mutations in a woman with early-onset ovarian cancer. Cancer Discov. 2013;3(4):399–405.

    Article  CAS  PubMed  Google Scholar 

  32. Shimelis H, Mesman RLS, Von Nicolai C, Ehlen A, Guidugli L, Martin C, et al. BRCA2 Hypomorphic missense variants confer moderate risks of breast cancer. Cancer Res. 2017;77(11):2789–99.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Moghadasi S, Meeks HD, Vreeswijk MP, Janssen LA, Borg A, Ehrencrona H, et al. The BRCA1 c. 5096G>a p.Arg1699Gln (R1699Q) intermediate risk variant: breast and ovarian cancer risk estimation and recommendations for clinical management from the ENIGMA consortium. J Med Genet. 2018;55(1):15–20.

    Article  CAS  PubMed  Google Scholar 

  34. Meeks HD, Song H, Michailidou K, Bolla MK, Dennis J, Wang Q, et al. BRCA2 polymorphic stop codon K3326X and the risk of breast, prostate, and ovarian cancers. J Natl Cancer Inst. 2016;108(2):djv315.

    Article  PubMed  CAS  Google Scholar 

  35. Arbustini E, Sgarella A, Ferrari A, Grasso D, Cassani C, Lucioni M, et al. RE: BRCA2 polymorphic stop codon K3326X and the risk of breast, prostate, and ovarian cancers. J Natl Cancer Inst. 2016;108(12):djw172.

    Article  PubMed  Google Scholar 

  36. Takaoka M, Miki Y. BRCA1 gene: function and deficiency. Int J Clin Oncol. 2018;23(1):36–44.

    Article  CAS  PubMed  Google Scholar 

  37. Millot GA, Carvalho MA, Caputo SM, Vreeswijk MP, Brown MA, Webb M, et al. A guide for functional analysis of BRCA1 variants of uncertain significance. Hum Mutat. 2012;33(11):1526–37.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Iversen ES Jr, Couch FJ, Goldgar DE, Tavtigian SV, Monteiro AN. A computational method to classify variants of uncertain significance using functional assay data with application to BRCA1. Cancer Epidemiol Biomark Prev. 2011;20(6):1078–88.

    Article  CAS  Google Scholar 

  39. Woods NT, Baskin R, Golubeva V, Jhuraney A, De-Gregoriis G, Vaclova T, et al. Functional assays provide a robust tool for the clinical annotation of genetic variants of uncertain significance. NPJ Genom Med. 2016;1

    Google Scholar 

  40. Fernandes VC, Golubeva VA, Di Pietro G, Shields C, Amankwah K, Nepomuceno TC, et al. Impact of amino acid substitutions at secondary structures in the BRCT domains of the tumor suppressor BRCA1: implications for clinical annotation. J Biol Chem. 2019;294(15):5980–92.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Pierce AJ, Hu P, Han M, Ellis N, Jasin M. Ku DNA end-binding protein modulates homologous repair of double-strand breaks in mammalian cells. Genes Dev. 2001;15(24):3237–42.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Ransburgh DJ, Chiba N, Ishioka C, Toland AE, Parvin JD. Identification of breast tumor mutations in BRCA1 that abolish its function in homologous DNA recombination. Cancer Res. 2010;70(3):988–95.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Anantha RW, Simhadri S, Foo TK, Miao S, Liu J, Shen Z, et al. Functional and mutational landscapes of BRCA1 for homology-directed repair and therapy resistance. elife. 2017;6

    Google Scholar 

  44. Bouwman P, van der Gulden H, van der Heijden I, Drost R, Klijn CN, Prasetyanti P, et al. A high-throughput functional complementation assay for classification of BRCA1 missense variants. Cancer Discov. 2013;3(10):1142–55.

    Article  CAS  PubMed  Google Scholar 

  45. Wu LC, Wang ZW, Tsan JT, Spillman MA, Phung A, Xu XL, et al. Identification of a RING protein that can interact in vivo with the BRCA1 gene product. Nat Genet. 1996;14(4):430–40.

    Article  CAS  PubMed  Google Scholar 

  46. Wei L, Lan L, Hong Z, Yasui A, Ishioka C, Chiba N. Rapid recruitment of BRCA1 to DNA double-strand breaks is dependent on its association with Ku80. Mol Cell Biol. 2008;28(24):7380–93.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Findlay GM, Daza RM, Martin B, Zhang MD, Leith AP, Gasperini M, et al. Accurate classification of BRCA1 variants with saturation genome editing. Nature. 2018;562(7726):217–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Starita LM, Islam MM, Banerjee T, Adamovich AI, Gullingsrud J, Fields S, et al. A multiplex homology-directed DNA repair assay reveals the impact of more than 1,000 BRCA1 missense substitution variants on protein function. Am J Hum Genet. 2018;103(4):498–508.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Guidugli L, Carreira A, Caputo SM, Ehlen A, Galli A, Monteiro AN, et al. Functional assays for analysis of variants of uncertain significance in BRCA2. Hum Mutat. 2014;35(2):151–64.

    Article  CAS  PubMed  Google Scholar 

  50. Guidugli L, Shimelis H, Masica DL, Pankratz VS, Lipton GB, Singh N, et al. Assessment of the clinical relevance of BRCA2 missense variants by functional and computational approaches. Am J Hum Genet. 2018;102(2):233–48.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Tavtigian SV, Samollow PB, de Silva D, Thomas A. An analysis of unclassified missense substitutions in human BRCA1. Familial Cancer. 2006;5(1):77–88.

    Article  CAS  PubMed  Google Scholar 

  52. Ikegami M, Kohsaka S, Ueno T, Momozawa Y, Inoue S, Tamura K, et al. High-throughput functional evaluation of BRCA2 variants of unknown significance. Nat Commun. 2020;11(1):2573.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Rottenberg S, Jaspers JE, Kersbergen A, van der Burg E, Nygren AO, Zander SA, et al. High sensitivity of BRCA1-deficient mammary tumors to the PARP inhibitor AZD2281 alone and in combination with platinum drugs. Proc Natl Acad Sci U S A. 2008;105(44):17079–84.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Farmer H, McCabe N, Lord CJ, Tutt AN, Johnson DA, Richardson TB, et al. Targeting the DNA repair defect in BRCA mutant cells as a therapeutic strategy. Nature. 2005;434(7035):917–21.

    Article  CAS  PubMed  Google Scholar 

  55. Bryant HE, Schultz N, Thomas HD, Parker KM, Flower D, Lopez E, et al. Specific killing of BRCA2-deficient tumours with inhibitors of poly(ADP-ribose) polymerase. Nature. 2005;434(7035):913–7.

    Google Scholar 

  56. Klinakis A, Karagiannis D, Rampias T. Targeting DNA repair in cancer: current state and novel approaches. Cell Mol Life Sci. 2020;77(4):677–703.

    Article  CAS  PubMed  Google Scholar 

  57. Yoshino Y, Endo S, Chen Z, Qi H, Watanabe G, Chiba N. Evaluation of site-specific homologous recombination activity of BRCA1 by direct quantitation of gene editing efficiency. Sci Rep. 2019;9(1):1644.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  58. Hashizume R, Fukuda M, Maeda I, Nishikawa H, Oyake D, Yabuki Y, et al. The RING heterodimer BRCA1-BARD1 is a ubiquitin ligase inactivated by a breast cancer-derived mutation. J Biol Chem. 2001;276(18):14537–40.

    Article  CAS  PubMed  Google Scholar 

  59. Ruffner H, Joazeiro CA, Hemmati D, Hunter T, Verma IM. Cancer-predisposing mutations within the RING domain of BRCA1: loss of ubiquitin protein ligase activity and protection from radiation hypersensitivity. Proc Natl Acad Sci U S A. 2001;98(9):5134–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Mallery DL, Vandenberg CJ, Hiom K. Activation of the E3 ligase function of the BRCA1/BARD1 complex by polyubiquitin chains. EMBO J. 2002;21(24):6755–62.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Drost R, Bouwman P, Rottenberg S, Boon U, Schut E, Klarenbeek S, et al. BRCA1 RING function is essential for tumor suppression but dispensable for therapy resistance. Cancer Cell. 2011;20(6):797–809.

    Article  CAS  PubMed  Google Scholar 

  62. Konstantinopoulos PA, Ceccaldi R, Shapiro GI, D'Andrea AD. Homologous recombination deficiency: exploiting the fundamental vulnerability of ovarian cancer. Cancer Discov. 2015;5(11):1137–54.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Telli ML, Timms KM, Reid J, Hennessy B, Mills GB, Jensen KC, et al. Homologous recombination deficiency (HRD) score predicts response to platinum-containing neoadjuvant chemotherapy in patients with triple-negative breast cancer. Clin Cancer Res. 2016;22(15):3764–73.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Jin J, Zhang W, Ji W, Yang F, Guan X. Predictive biomarkers for triple negative breast cancer treated with platinum-based chemotherapy. Cancer Biol Ther. 2017;18(6):369–78.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  65. Ernst C, Hahnen E, Engel C, Nothnagel M, Weber J, Schmutzler RK, et al. Performance of in silico prediction tools for the classification of rare BRCA1/2 missense variants in clinical diagnostics. BMC Med Genet. 2018;11(1):35.

    Google Scholar 

  66. Hart SN, Hoskin T, Shimelis H, Moore RM, Feng B, Thomas A, et al. Comprehensive annotation of BRCA1 and BRCA2 missense variants by functionally validated sequence-based computational prediction models. Genet Med. 2019;21(1):71–80.

    Article  CAS  PubMed  Google Scholar 

  67. Ng PC, Henikoff S. Predicting deleterious amino acid substitutions. Genome Res. 2001;11(5):863–74.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  68. Adzhubei IA, Schmidt S, Peshkin L, Ramensky VE, Gerasimova A, Bork P, et al. A method and server for predicting damaging missense mutations. Nat Methods. 2010;7(4):248–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  69. Schwarz JM, Cooper DN, Schuelke M, Seelow D. MutationTaster2: mutation prediction for the deep-sequencing age. Nat Methods. 2014;11(4):361–2.

    Article  CAS  PubMed  Google Scholar 

  70. Adzhubei I, Jordan DM, Sunyaev SR. Predicting functional effect of human missense mutations using PolyPhen-2. Curr Protoc Hum Genet. 2013;Chapter 7:Unit7 20.

    Google Scholar 

  71. Monteiro AN, Bouwman P, Kousholt AN, Eccles DM, Millot GA, Masson JY, et al. Variants of uncertain clinical significance in hereditary breast and ovarian cancer genes: best practices in functional analysis for clinical annotation. J Med Genet. 2020;

    Google Scholar 

  72. Hart SN, Polley EC, Shimelis H, Yadav S, Couch FJ. Prediction of the functional impact of missense variants in BRCA1 and BRCA2 with BRCA-ML. NPJ Breast Cancer. 2020;6:13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  73. Easton DF, Pharoah PD, Antoniou AC, Tischkowitz M, Tavtigian SV, Nathanson KL, et al. Gene-panel sequencing and the prediction of breast-cancer risk. N Engl J Med. 2015;372(23):2243–57.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  74. Couch FJ, Shimelis H, Hu C, Hart SN, Polley EC, Na J, et al. Associations between cancer predisposition testing panel genes and breast cancer. JAMA Oncol. 2017;3(9):1190–6.

    Article  PubMed  PubMed Central  Google Scholar 

  75. Jones MR, Kamara D, Karlan BY, Pharoah PDP, Gayther SA. Genetic epidemiology of ovarian cancer and prospects for polygenic risk prediction. Gynecol Oncol. 2017;147(3):705–13.

    Article  CAS  PubMed  Google Scholar 

  76. Lilyquist J, LaDuca H, Polley E, Davis BT, Shimelis H, Hu C, et al. Frequency of mutations in a large series of clinically ascertained ovarian cancer cases tested on multi-gene panels compared to reference controls. Gynecol Oncol. 2017;147(2):375–80.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Yoshino, Y., Chiba, N. (2021). Variants of Uncertain Significances in Hereditary Breast and Ovarian Cancer. In: Nakamura, S., Aoki, D., Miki, Y. (eds) Hereditary Breast and Ovarian Cancer . Springer, Singapore. https://doi.org/10.1007/978-981-16-4521-1_4

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