Skip to main content

Advertisement

Log in

Implementation of next-generation sequencing for molecular diagnosis of hereditary breast and ovarian cancer highlights its genetic heterogeneity

  • Preclinical study
  • Published:
Breast Cancer Research and Treatment Aims and scope Submit manuscript

Abstract

Molecular diagnosis of hereditary breast and ovarian cancer (HBOC) by standard methodologies has been limited to the BRCA1 and BRCA2 genes. With the recent development of new sequencing methodologies, the speed and efficiency of DNA testing have dramatically improved. The aim of this work was to validate the use of next-generation sequencing (NGS) for the detection of BRCA1/BRCA2 point mutations in a diagnostic setting and to study the role of other genes associated with HBOC in Portuguese families. A cohort of 94 high-risk families was included in the study, and they were initially screened for the two common founder mutations with variant-specific methods. Fourteen index patients were shown to carry the Portuguese founder mutation BRCA2 c.156_157insAlu, and the remaining 80 were analyzed in parallel by Sanger sequencing for the BRCA1/BRCA2 genes and by NGS for a panel of 17 genes that have been described as involved in predisposition to breast and/or ovarian cancer. A total of 506 variants in the BRCA1/BRCA2 genes were detected by both methodologies, with a 100 % concordance between them. This strategy allowed the detection of a total of 39 deleterious mutations in the 94 index patients, namely 10 in BRCA1 (25.6 %), 21 in BRCA2 (53.8 %), four in PALB2 (10.3 %), two in ATM (5.1 %), one in CHEK2 (2.6 %), and one in TP53 (2.6 %), with 20.5 % of the deleterious mutations being found in genes other than BRCA1/BRCA2. These results demonstrate the efficiency of NGS for the detection of BRCA1/BRCA2 point mutations and highlight the genetic heterogeneity of HBOC.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Miki Y, Swensen J, Shattuck-Eidens D, Futreal PA, Harshman K, Tavtigian S, Liu Q, Cochran C, Bennett LM, Ding W, Bell R, Rosenthal J, Hussey C, Tran T, McClure M, Frye C, Hattier T, Phelps R, Haugen-Strano A, Katcher H, Yakumo K, Gholami Z, Shaffer D, Stone S, Bayer S, Wray C, Bogden R, Dayananth P, Ward J, Tonin P, Narod S, Bristow PK, Norris FH, Helvering L, Morrison P, Rosteck P, Lai M, Barrett JC, Lewis C, Neuhausen S, Cannon-Albright L, Goldgar D, Wiseman R, Kamb A, Skolnick MH (1994) A strong candidate for the breast and ovarian cancer susceptibility gene BRCA1. Science 266(5182):66–71

    Article  CAS  PubMed  Google Scholar 

  2. Wooster R, Bignell G, Lancaster J, Swift S, Seal S, Mangion J, Collins N, Gregory S, Gumbs C, Micklem G (1995) Identification of the breast cancer susceptibility gene BRCA2. Nature 378(6559):789–792. doi:10.1038/378789a0

    Article  CAS  PubMed  Google Scholar 

  3. Mavaddat N, Peock S, Frost D, Ellis S, Platte R, Fineberg E, Evans DG, Izatt L, Eeles RA, Adlard J, Davidson R, Eccles D, Cole T, Cook J, Brewer C, Tischkowitz M, Douglas F, Hodgson S, Walker L, Porteous ME, Morrison PJ, Side LE, Kennedy MJ, Houghton C, Donaldson A, Rogers MT, Dorkins H, Miedzybrodzka Z, Gregory H, Eason J, Barwell J, McCann E, Murray A, Antoniou AC, Easton DF, Embrace (2013) Cancer risks for BRCA1 and BRCA2 mutation carriers: results from prospective analysis of EMBRACE. J Natl Cancer Inst 105(11):812–822. doi:10.1093/jnci/djt095

    Article  CAS  PubMed  Google Scholar 

  4. National Comprehensive Cancer Network (2016) Genetic/Familial High-Risk Assessment: Breast and Ovarian (Version 2.2016). http://www.nccn.org/professionals/physician_gls/pdf/genetics_screening.pdf. Accessed May 2016

  5. Ledermann J, Harter P, Gourley C, Friedlander M, Vergote I, Rustin G, Scott CL, Meier W, Shapira-Frommer R, Safra T, Matei D, Fielding A, Spencer S, Dougherty B, Orr M, Hodgson D, Barrett JC, Matulonis U (2014) Olaparib maintenance therapy in patients with platinum-sensitive relapsed serous ovarian cancer: a preplanned retrospective analysis of outcomes by BRCA status in a randomised phase 2 trial. Lancet Oncol 15(8):852–861. doi:10.1016/S1470-2045(14)70228-1

    Article  CAS  PubMed  Google Scholar 

  6. Couch FJ, Nathanson KL, Offit K (2014) Two decades after BRCA: setting paradigms in personalized cancer care and prevention. Science 343(6178):1466–1470. doi:10.1126/science.1251827

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Peixoto A, Santos C, Pinto P, Pinheiro M, Rocha P, Pinto C, Bizarro S, Veiga I, Principe AS, Maia S, Castro F, Couto R, Gouveia A, Teixeira MR (2015) The role of targeted BRCA1/BRCA2 mutation analysis in hereditary breast/ovarian cancer families of Portuguese ancestry. Clin Genet 88(1):41–48. doi:10.1111/cge.12441

    Article  CAS  PubMed  Google Scholar 

  8. Wu CC, Shete S, Amos CI, Strong LC (2006) Joint effects of germ-line p53 mutation and sex on cancer risk in Li-Fraumeni syndrome. Cancer Res 66(16):8287–8292. doi:10.1158/0008-5472.CAN-05-4247

    Article  CAS  PubMed  Google Scholar 

  9. Pharoah PD, Guilford P, Caldas C, International Gastric Cancer Linkage C (2001) Incidence of gastric cancer and breast cancer in CDH1 (E-cadherin) mutation carriers from hereditary diffuse gastric cancer families. Gastroenterology 121(6):1348–1353

    Article  CAS  PubMed  Google Scholar 

  10. Hearle N, Schumacher V, Menko FH, Olschwang S, Boardman LA, Gille JJ, Keller JJ, Westerman AM, Scott RJ, Lim W, Trimbath JD, Giardiello FM, Gruber SB, Offerhaus GJ, de Rooij FW, Wilson JH, Hansmann A, Moslein G, Royer-Pokora B, Vogel T, Phillips RK, Spigelman AD, Houlston RS (2006) Frequency and spectrum of cancers in the Peutz-Jeghers syndrome. Clin Cancer Res 12(10):3209–3215. doi:10.1158/1078-0432.CCR-06-0083

    Article  CAS  PubMed  Google Scholar 

  11. Bubien V, Bonnet F, Brouste V, Hoppe S, Barouk-Simonet E, David A, Edery P, Bottani A, Layet V, Caron O, Gilbert-Dussardier B, Delnatte C, Dugast C, Fricker JP, Bonneau D, Sevenet N, Longy M, Caux F, French Cowden Disease N (2013) High cumulative risks of cancer in patients with PTEN hamartoma tumour syndrome. J Med Genet 50(4):255–263. doi:10.1136/jmedgenet-2012-101339

    Article  CAS  PubMed  Google Scholar 

  12. Antoniou AC, Casadei S, Heikkinen T, Barrowdale D, Pylkas K, Roberts J, Lee A, Subramanian D, De Leeneer K, Fostira F, Tomiak E, Neuhausen SL, Teo ZL, Khan S, Aittomaki K, Moilanen JS, Turnbull C, Seal S, Mannermaa A, Kallioniemi A, Lindeman GJ, Buys SS, Andrulis IL, Radice P, Tondini C, Manoukian S, Toland AE, Miron P, Weitzel JN, Domchek SM, Poppe B, Claes KB, Yannoukakos D, Concannon P, Bernstein JL, James PA, Easton DF, Goldgar DE, Hopper JL, Rahman N, Peterlongo P, Nevanlinna H, King MC, Couch FJ, Southey MC, Winqvist R, Foulkes WD, Tischkowitz M (2014) Breast-cancer risk in families with mutations in PALB2. N Engl J Med 371(6):497–506. doi:10.1056/NEJMoa1400382

    Article  PubMed  PubMed Central  Google Scholar 

  13. Cybulski C, Wokolorczyk D, Jakubowska A, Huzarski T, Byrski T, Gronwald J, Masojc B, Deebniak T, Gorski B, Blecharz P, Narod SA, Lubinski J (2011) Risk of breast cancer in women with a CHEK2 mutation with and without a family history of breast cancer. J Clin Oncol 29(28):3747–3752. doi:10.1200/JCO.2010.34.0778

    Article  CAS  PubMed  Google Scholar 

  14. Goldgar DE, Healey S, Dowty JG, Da Silva L, Chen X, Spurdle AB, Terry MB, Daly MJ, Buys SM, Southey MC, Andrulis I, John EM, Bcfr, kConFab, Khanna KK, Hopper JL, Oefner PJ, Lakhani S, Chenevix-Trench G (2011) Rare variants in the ATM gene and risk of breast cancer. Breast Cancer Res 13(4):R73. doi:10.1186/bcr2919

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Bogdanova N, Feshchenko S, Schurmann P, Waltes R, Wieland B, Hillemanns P, Rogov YI, Dammann O, Bremer M, Karstens JH, Sohn C, Varon R, Dork T (2008) Nijmegen Breakage Syndrome mutations and risk of breast cancer. Int J Cancer 122(4):802–806. doi:10.1002/ijc.23168

    Article  CAS  PubMed  Google Scholar 

  16. Bonadona V, Bonaiti B, Olschwang S, Grandjouan S, Huiart L, Longy M, Guimbaud R, Buecher B, Bignon YJ, Caron O, Colas C, Nogues C, Lejeune-Dumoulin S, Olivier-Faivre L, Polycarpe-Osaer F, Nguyen TD, Desseigne F, Saurin JC, Berthet P, Leroux D, Duffour J, Manouvrier S, Frebourg T, Sobol H, Lasset C, Bonaiti-Pellie C, French Cancer Genetics N (2011) Cancer risks associated with germline mutations in MLH1, MSH2, and MSH6 genes in Lynch syndrome. JAMA 305(22):2304–2310. doi:10.1001/jama.2011.743

    Article  CAS  PubMed  Google Scholar 

  17. Loveday C, Turnbull C, Ramsay E, Hughes D, Ruark E, Frankum JR, Bowden G, Kalmyrzaev B, Warren-Perry M, Snape K, Adlard JW, Barwell J, Berg J, Brady AF, Brewer C, Brice G, Chapman C, Cook J, Davidson R, Donaldson A, Douglas F, Greenhalgh L, Henderson A, Izatt L, Kumar A, Lalloo F, Miedzybrodzka Z, Morrison PJ, Paterson J, Porteous M, Rogers MT, Shanley S, Walker L, Breast Cancer Susceptibility C, Eccles D, Evans DG, Renwick A, Seal S, Lord CJ, Ashworth A, Reis-Filho JS, Antoniou AC, Rahman N (2011) Germline mutations in RAD51D confer susceptibility to ovarian cancer. Nat Genet 43(9):879–882. doi:10.1038/ng.893

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Loveday C, Turnbull C, Ruark E, Xicola RM, Ramsay E, Hughes D, Warren-Perry M, Snape K, Breast Cancer Susceptibility C, Eccles D, Evans DG, Gore M, Renwick A, Seal S, Antoniou AC, Rahman N (2012) Germline RAD51C mutations confer susceptibility to ovarian cancer. Nat Genet 44(5):475–476. doi:10.1038/ng.2224 (author reply 476)

    Article  CAS  PubMed  Google Scholar 

  19. Ramus SJ, Song H, Dicks E, Tyrer JP, Rosenthal AN, Intermaggio MP, Fraser L, Gentry-Maharaj A, Hayward J, Philpott S, Anderson C, Edlund CK, Conti D, Harrington P, Barrowdale D, Bowtell DD, Alsop K, Mitchell G, Group AS, Cicek, Cunningham JM, Fridley BL, Alsop J, Jimenez-Linan M, Poblete S, Lele S, Sucheston-Campbell L, Moysich KB, Sieh W, McGuire V, Lester J, Bogdanova N, Durst M, Hillemanns P, OvarianCancerAssociation C, Odunsi K, Whittemore AS, Karlan BY, Dork T, Goode EL, Menon U, Menon U, Jacobs IJ, Antoniou AC, Pharoah PD, Gayther SA (2015) Germline mutations in the BRIP1, BARD1, PALB2, and NBN genes in women with ovarian cancer. J Natl Cancer Inst. doi:10.1093/jnci/djv214

    Google Scholar 

  20. Easton DF, Pharoah PD, Antoniou AC, Tischkowitz M, Tavtigian SV, Nathanson KL, Devilee P, Meindl A, Couch FJ, Southey M, Goldgar DE, Evans DG, Chenevix-Trench G, Rahman N, Robson M, Domchek SM, Foulkes WD (2015) Gene-panel sequencing and the prediction of breast-cancer risk. N Engl J Med 372(23):2243–2257. doi:10.1056/NEJMsr1501341

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Dong C, Wei P, Jian X, Gibbs R, Boerwinkle E, Wang K, Liu X (2015) Comparison and integration of deleteriousness prediction methods for nonsynonymous SNVs in whole exome sequencing studies. Hum Mol Genet 24(8):2125–2137. doi:10.1093/hmg/ddu733

    Article  CAS  PubMed  Google Scholar 

  22. Kircher M, Witten DM, Jain P, O’Roak BJ, Cooper GM, Shendure J (2014) A general framework for estimating the relative pathogenicity of human genetic variants. Nat Genet 46(3):310–315. doi:10.1038/ng.2892

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Houdayer C, Caux-Moncoutier V, Krieger S, Barrois M, Bonnet F, Bourdon V, Bronner M, Buisson M, Coulet F, Gaildrat P, Lefol C, Leone M, Mazoyer S, Muller D, Remenieras A, Revillion F, Rouleau E, Sokolowska J, Vert JP, Lidereau R, Soubrier F, Sobol H, Sevenet N, Bressac-de Paillerets B, Hardouin A, Tosi M, Sinilnikova OM, Stoppa-Lyonnet D (2012) Guidelines for splicing analysis in molecular diagnosis derived from a set of 327 combined in silico/in vitro studies on BRCA1 and BRCA2 variants. Hum Mutat 33(8):1228–1238. doi:10.1002/humu.22101

    Article  CAS  PubMed  Google Scholar 

  24. Jian X, Boerwinkle E, Liu X (2014) In silico prediction of splice-altering single nucleotide variants in the human genome. Nucleic Acids Res 42(22):13534–13544. doi:10.1093/nar/gku1206

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Chrisanthar R, Knappskog S, Lokkevik E, Anker G, Ostenstad B, Lundgren S, Berge EO, Risberg T, Mjaaland I, Maehle L, Engebretsen LF, Lillehaug JR, Lonning PE (2008) CHEK2 mutations affecting kinase activity together with mutations in TP53 indicate a functional pathway associated with resistance to epirubicin in primary breast cancer. PLoS ONE 3(8):e3062. doi:10.1371/journal.pone.0003062

    Article  PubMed  PubMed Central  Google Scholar 

  26. Roeb W, Higgins J, King MC (2012) Response to DNA damage of CHEK2 missense mutations in familial breast cancer. Hum Mol Genet 21(12):2738–2744. doi:10.1093/hmg/dds101

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Sodha N, Mantoni TS, Tavtigian SV, Eeles R, Garrett MD (2006) Rare germ line CHEK2 variants identified in breast cancer families encode proteins that show impaired activation. Cancer Res 66(18):8966–8970. doi:10.1158/0008-5472.CAN-06-1990

    Article  CAS  PubMed  Google Scholar 

  28. Pinto C, Veiga I, Pinheiro M, Peixoto A, Pinto A, Lopes JM, Reis RM, Oliveira C, Baptista M, Roque L, Regateiro F, Cirnes L, Hofstra RM, Seruca R, Castedo S, Teixeira MR (2009) TP53 germline mutations in Portugal and genetic modifiers of age at cancer onset. Fam Cancer 8(4):383–390. doi:10.1007/s10689-009-9251-y

    Article  CAS  PubMed  Google Scholar 

  29. Chompret A, Abel A, Stoppa-Lyonnet D, Brugieres L, Pages S, Feunteun J, Bonaiti-Pellie C (2001) Sensitivity and predictive value of criteria for p53 germline mutation screening. J Med Genet 38(1):43–47

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Daber R, Sukhadia S, Morrissette JJ (2013) Understanding the limitations of next generation sequencing informatics, an approach to clinical pipeline validation using artificial data sets. Cancer Genet 206(12):441–448. doi:10.1016/j.cancergen.2013.11.005

    Article  CAS  PubMed  Google Scholar 

  31. Dacheva D, Dodova R, Popov I, Goranova T, Mitkova A, Mitev V, Kaneva R (2015) Validation of an NGS approach for diagnostic BRCA1/BRCA2 mutation testing. Mol Diagn Ther 19(2):119–130. doi:10.1007/s40291-015-0136-5

    Article  CAS  PubMed  Google Scholar 

  32. Castera L, Krieger S, Rousselin A, Legros A, Baumann JJ, Bruet O, Brault B, Fouillet R, Goardon N, Letac O, Baert-Desurmont S, Tinat J, Bera O, Dugast C, Berthet P, Polycarpe F, Layet V, Hardouin A, Frebourg T, Vaur D (2014) Next-generation sequencing for the diagnosis of hereditary breast and ovarian cancer using genomic capture targeting multiple candidate genes. Eur J Hum Genet 22(11):1305–1313. doi:10.1038/ejhg.2014.16

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Chong HK, Wang T, Lu HM, Seidler S, Lu H, Keiles S, Chao EC, Stuenkel AJ, Li X, Elliott AM (2014) The validation and clinical implementation of BRCAplus: a comprehensive high-risk breast cancer diagnostic assay. PLoS One 9(5):e97408. doi:10.1371/journal.pone.0097408

    Article  PubMed  PubMed Central  Google Scholar 

  34. Trujillano D, Weiss ME, Schneider J, Koster J, Papachristos EB, Saviouk V, Zakharkina T, Nahavandi N, Kovacevic L, Rolfs A (2015) Next-generation sequencing of the BRCA1 and BRCA2 genes for the genetic diagnostics of hereditary breast and/or ovarian cancer. J Mol Diagn 17(2):162–170. doi:10.1016/j.jmoldx.2014.11.004

    Article  CAS  PubMed  Google Scholar 

  35. Li J, Lupat R, Amarasinghe KC, Thompson ER, Doyle MA, Ryland GL, Tothill RW, Halgamuge SK, Campbell IG, Gorringe KL (2012) CONTRA: copy number analysis for targeted resequencing. Bioinformatics 28(10):1307–1313. doi:10.1093/bioinformatics/bts146

    Article  PubMed  PubMed Central  Google Scholar 

  36. Sathirapongsasuti JF, Lee H, Horst BA, Brunner G, Cochran AJ, Binder S, Quackenbush J, Nelson SF (2011) Exome sequencing-based copy-number variation and loss of heterozygosity detection: exomeCNV. Bioinformatics 27(19):2648–2654. doi:10.1093/bioinformatics/btr462

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Xie C, Tammi MT (2009) CNV-seq, a new method to detect copy number variation using high-throughput sequencing. BMC Bioinformatics 10:80. doi:10.1186/1471-2105-10-80

    Article  PubMed  PubMed Central  Google Scholar 

  38. Pertesi M, Narod S, Pinheiro M, Pinto P, Soares MJ, Rocha P, Gusmao L, Amorim A, van der Hout A, Gerdes AM, Thomassen M, Kruse TA, Cruger D, Sunde L, Bignon YJ, Uhrhammer N, Cornil L, Rouleau E, Lidereau R, Yannoukakos D, Pertesi M, Narod S, Royer R, Costa MM, Lazaro C, Feliubadalo L, Grana B, Blanco I, de la Hoya M, Caldes T, Maillet P, Benais-Pont G, Pardo B, Laitman Y, Friedman E, Velasco EA, Duran M, Miramar MD, Valle AR, Calvo MT, Vega A, Blanco A, Diez O, Gutierrez-Enriquez S, Balmana J, Ramon T, Cajal y, Alonso C, Baiget M, Foulkes W, Tischkowitz M, Kyle R, Sabbaghian N, Ashton-Prolla P, Ewald IP, Rajkumar T, Mota-Vieira L, Giannini G, Gulino A, Achatz MI, Carraro DM, de Paillerets BB, Remenieras A, Benson C, Casadei S, King MC, Teugels E, Teixeira (2011) International distribution and age estimation of the Portuguese BRCA2 c.156_157insAlu founder mutation. Breast Cancer Res Treat 127(3):671–679. doi:10.1007/s10549-010-1036-3

    Article  PubMed  Google Scholar 

  39. Santos C, Peixoto A, Rocha P, Pinto P, Bizarro S, Pinheiro M, Pinto C, Henrique R, Teixeira MR (2014) Pathogenicity evaluation of BRCA1 and BRCA2 unclassified variants identified in Portuguese breast/ovarian cancer families. J Mol Diagn 16(3):324–334. doi:10.1016/j.jmoldx.2014.01.005

    Article  CAS  PubMed  Google Scholar 

  40. Parsons MT, Whiley PJ, Beesley J, Drost M, de Wind N, Thompson BA, Marquart L, Hopper JL, Jenkins MA, Australasian Colorectal Cancer Family R, Brown MA, Tucker K, Warwick L, Buchanan DD, Spurdle AB (2015) Consequences of germline variation disrupting the constitutional translational initiation codon start sites of MLH1 and BRCA2: use of potential alternative start sites and implications for predicting variant pathogenicity. Mol Carcinog 54(7):513–522. doi:10.1002/mc.22116

    Article  CAS  PubMed  Google Scholar 

  41. Bougeard G, Renaux-Petel M, Flaman JM, Charbonnier C, Fermey P, Belotti M, Gauthier-Villars M, Stoppa-Lyonnet D, Consolino E, Brugieres L, Caron O, Benusiglio PR, Bressac-de Paillerets B, Bonadona V, Bonaiti-Pellie C, Tinat J, Baert-Desurmont S, Frebourg T (2015) Revisiting Li-Fraumeni syndrome from TP53 mutation carriers. J Clin Oncol 33(21):2345–2352. doi:10.1200/JCO.2014.59.5728

    Article  CAS  PubMed  Google Scholar 

  42. Seal S, Thompson D, Renwick A, Elliott A, Kelly P, Barfoot R, Chagtai T, Jayatilake H, Ahmed M, Spanova K, North B, McGuffog L, Evans DG, Eccles D, Breast Cancer Susceptibility C, Easton DF, Stratton MR, Rahman N (2006) Truncating mutations in the Fanconi anemia J gene BRIP1 are low-penetrance breast cancer susceptibility alleles. Nat Genet 38(11):1239–1241. doi:10.1038/ng1902

    Article  CAS  PubMed  Google Scholar 

  43. Easton DF, Lesueur F, Decker B, Michailidou K, Li J, Allen J, Luccarini C, Pooley KA, Shah M, Bolla MK, Wang Q, Dennis J, Ahmad J, Thompson ER, Damiola F, Pertesi M, Voegele C, Mebirouk N, Robinot N, Durand G, Forey N, Luben RN, Ahmed S, Aittomaki K, Anton-Culver H, Arndt V, Australian Ovarian Cancer Study G, Baynes C, Beckman MW, Benitez J, Van Den Berg D, Blot WJ, Bogdanova NV, Bojesen SE, Brenner H, Chang-Claude J, Chia KS, Choi JY, Conroy DM, Cox A, Cross SS, Czene K, Darabi H, Devilee P, Eriksson M, Fasching PA, Figueroa J, Flyger H, Fostira F, Garcia-Closas M, Giles GG, Glendon G, Gonzalez-Neira A, Guenel P, Haiman CA, Hall P, Hart SN, Hartman M, Hooning MJ, Hsiung CN, Ito H, Jakubowska A, James PA, John EM, Johnson N, Jones M, Kabisch M, Kang D, kConFab I, Kosma VM, Kristensen V, Lambrechts D, Li N, Lifepool I, Lindblom A, Long J, Lophatananon A, Lubinski J, Mannermaa A, Manoukian S, Margolin S, Matsuo K, Meindl A, Mitchell G, Muir K, Investigators N, Nevelsteen I, van den Ouweland A, Peterlongo P, Phuah SY, Pylkas K, Rowley SM, Sangrajrang S, Schmutzler RK, Shen CY, Shu XO, Southey MC, Surowy H, Swerdlow A, Teo SH, Tollenaar RA, Tomlinson I, Torres D, Truong T, Vachon C, Verhoef S, Wong-Brown M, Zheng W, Zheng Y, Nevanlinna H, Scott RJ, Andrulis IL, Wu AH, Hopper JL, Couch FJ, Winqvist R, Burwinkel B, Sawyer EJ, Schmidt MK, Rudolph A, Dork T, Brauch H, Hamann U, Neuhausen SL, Milne RL, Fletcher O, Pharoah PD, Campbell IG, Dunning AM, Le Calvez-Kelm DE, Goldgar DE, Tavtigian SV, Chenevix-Trench G (2016) No evidence that protein truncating variants in BRIP1 are associated with breast cancer risk: implications for gene panel testing. J Med Genet. doi:10.1136/jmedgenet-2015-103529

    PubMed  Google Scholar 

  44. Young EL, Feng BJ, Stark AW, Damiola F, Durand G, Forey N, Francy TC, Gammon A, Kohlmann WK, Kaphingst KA, McKay-Chopin S, Nguyen-Dumont T, Oliver J, Paquette AM, Pertesi M, Robinot N, Rosenthal JS, Vallee M, Voegele C, Hopper JL, Southey MC, Andrulis IL, John EM, Hashibe M, Gertz J, Breast Cancer Family R, Le Calvez-Kelm F, Lesueur F, Goldgar DE, Tavtigian SV (2016) Multigene testing of moderate-risk genes: be mindful of the missense. J Med Genet 53(6):366–376. doi:10.1136/jmedgenet-2015-103398

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Wu M, Wu J, Chen T, Jiang R (2015) Prioritization Of nonsynonymous single nucleotide variants for exome sequencing studies via integrative learning on multiple genomic data. Sci Rep 5:14955. doi:10.1038/srep14955

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Vallee MP, Sera TL, Nix DA, Paquette AM, Parsons MT, Bell R, Hoffman A, Hogervorst FB, Goldgar DE, Spurdle AB, Tavtigian SV (2016) Adding in silico assessment of potential splice aberration to the integrated evaluation of brca gene unclassified variants. Hum Mutat. doi:10.1002/humu.22973

    PubMed  PubMed Central  Google Scholar 

  47. Sweet K, Senter L, Pilarski R, Wei L, Toland AE (2010) Characterization of BRCA1 ring finger variants of uncertain significance. Breast Cancer Res Treat 119(3):737–743. doi:10.1007/s10549-009-0438-6

    Article  CAS  PubMed  Google Scholar 

  48. Whiley PJ, Parsons MT, Leary J, Tucker K, Warwick L, Dopita B, Thorne H, Lakhani SR, Goldgar DE, Brown MA, Spurdle AB (2014) Multifactorial likelihood assessment of BRCA1 and BRCA2 missense variants confirms that BRCA1:c.122A > G(p.His41Arg) is a pathogenic mutation. PLoS ONE 9(1):e86836. doi:10.1371/journal.pone.0086836

    Article  PubMed  PubMed Central  Google Scholar 

  49. Cybulski C, Carrot-Zhang J, Kluzniak W, Rivera B, Kashyap A, Wokolorczyk D, Giroux S, Nadaf J, Hamel N, Zhang S, Huzarski T, Gronwald J, Byrski T, Szwiec M, Jakubowska A, Rudnicka H, Lener M, Masojc B, Tonin PN, Rousseau F, Gorski B, Debniak T, Majewski J, Lubinski J, Foulkes WD, Narod SA, Akbari MR (2015) Germline RECQL mutations are associated with breast cancer susceptibility. Nat Genet 47(6):643–646. doi:10.1038/ng.3284

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

We would like to thank everyone involved in the TVI Solidary fundraising event, namely organizers, singers, and participants.

Funding

This work was partially supported by IPO Porto Research Center (CI-IPOP-16-2012), by the Portuguese television broadcasting channel TVI (Solidary fundraising event), and by Fundação para a Ciência e a Tecnologia (FCT; PEst-OE/SAU/UI0776/2014). PP was awarded a PhD grant (SFRH/BD/73719/2010) from FCT until 2015. PPa and MP are research fellows from FCT (UID/DTP/00776/2013 and SFRH/BPD/113014/2015). PP is a research fellow of the Núcleo Regional do Norte da Liga Portuguesa Contra o Cancro.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Manuel R. Teixeira.

Ethics declarations

Conflicts of interest

The authors declare no conflicts of interest.

Ethical standards

This study was performed according to the institutional review board approved guidelines and standard clinical practice, and informed consent was obtained from all individual participants included in the study.

Electronic supplementary material

Below is the link to the electronic supplementary material.

10549_2016_3948_MOESM1_ESM.tif

Supplementary material 1 (TIFF 460 kb) Pedigree of the individual with the MSH6 c.3848_3862del mutation. The index case is indicated by an arrow

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pinto, P., Paulo, P., Santos, C. et al. Implementation of next-generation sequencing for molecular diagnosis of hereditary breast and ovarian cancer highlights its genetic heterogeneity. Breast Cancer Res Treat 159, 245–256 (2016). https://doi.org/10.1007/s10549-016-3948-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10549-016-3948-z

Keywords

Navigation