Skip to main content

Advertisement

Log in

Substantial evidence for the clinical significance of missense variant BRCA1 c.5309G>T p.(Gly1770Val)

  • Brief Report
  • Published:
Breast Cancer Research and Treatment Aims and scope Submit manuscript

Abstract

Purpose

Classification of rare BRCA1 missense variants presents a major challenge for the counseling and treatment of patients. Variant classification can be complicated by conflicting lines of evidence. BRCA1 c.5309G>T p.(Gly1770Val) has been shown to abrogate BRCA1 protein homologous DNA repair; however, multiple sequence alignment demonstrates a lack of sequence conservation at this position, suggesting that glycine at position 1770 may not be essential for cellular maintenance in humans. We analyzed clinical information to resolve the classification of BRCA1 c.5309G>T p.(Gly1770Val).

Methods

We performed multifactorial likelihood analysis combining segregation data for 14 informative families, and breast tumor histopathological data for 17 variant carriers, ascertained through the ENIGMA consortium.

Results

Bayes segregation analysis gave a likelihood ratio of 101:1 in favor of pathogenicity. The vast majority of breast tumors showed features indicative of pathogenic variant carrier status, resulting in a likelihood ratio of 15800794:1 towards pathogenicity. Despite a low prior probability of pathogenicity (0.03) based on bioinformatic prediction, multifactorial likelihood analysis including segregation and histopathology analysis gave a posterior probability of > 0.99 and final classification of Pathogenic.

Conclusions

We provide evidence that BRCA1 c.5309G>T p.(Gly1770Val), previously described as a Moroccan founder variant, should be treated as a disease-causing variant despite a lack of evolutionary conservation at this amino acid position. Additionally, we stress that bioinformatic information should be used in combination with other data, either direct clinical evidence or some form of clinical calibration, to arrive at a final clinical classification.

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

References

  1. Grantham R (1974) Amino acid difference formula to help explain protein evolution. Science 185(4154):862–864

    Article  CAS  Google Scholar 

  2. Tavtigian SV, Deffenbaugh AM, Yin L, Judkins T, Scholl T, Samollow PB, de Silva D, Zharkikh A, Thomas A (2006) Comprehensive statistical study of 452 BRCA1 missense substitutions with classification of eight recurrent substitutions as neutral. J Med Genet 43(4):295–305. https://doi.org/10.1136/jmg.2005.033878

    Article  CAS  PubMed  Google Scholar 

  3. Tavtigian SV, Byrnes GB, Goldgar DE, Thomas A (2008) Classification of rare missense substitutions, using risk surfaces, with genetic- and molecular-epidemiology applications. Hum Mutat 29(11):1342–1354. https://doi.org/10.1002/humu.20896

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Goldgar DE, Easton DF, Byrnes GB, Spurdle AB, Iversen ES, Greenblatt MS, Group IUGVW (2008) Genetic evidence and integration of various data sources for classifying uncertain variants into a single model. Hum Mutat 29(11):1265–1272. https://doi.org/10.1002/humu.20897

    Article  PubMed  PubMed Central  Google Scholar 

  5. Quiles F, Fernandez-Rodriguez J, Mosca R, Feliubadalo L, Tornero E, Brunet J, Blanco I, Capella G, Pujana MA, Aloy P, Monteiro A, Lazaro C (2013) Functional and structural analysis of C-terminal BRCA1 missense variants. PLoS ONE 8(4):e61302. https://doi.org/10.1371/journal.pone.0061302

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Bouwman P, van der Gulden H, van der Heijden I, Drost R, Klijn CN, Prasetyanti P, Pieterse M, Wientjens E, Seibler J, Hogervorst FB, Jonkers J (2013) A high-throughput functional complementation assay for classification of BRCA1 missense variants. Cancer Discov 3(10):1142–1155. https://doi.org/10.1158/2159-8290.CD-13-0094

    Article  CAS  PubMed  Google Scholar 

  7. Quiles F, Teule A, Martinussen Tandstad N, Feliubadalo L, Tornero E, Del Valle J, Menendez M, Salinas M, Wethe Rognlien V, Velasco A, Izquierdo A, Capella G, Brunet J, Lazaro C (2016) Identification of a founder BRCA1 mutation in the Moroccan population. Clin Genet 90(4):361–365. https://doi.org/10.1111/cge.12747

    Article  CAS  PubMed  Google Scholar 

  8. Millot GA, Carvalho MA, Caputo SM, Vreeswijk MP, Brown MA, Webb M, Rouleau E, Neuhausen SL, Hansen T, Galli A, Brandao RD, Blok MJ, Velkova A, Couch FJ, Monteiro AN, Group ECFAW (2012) A guide for functional analysis of BRCA1 variants of uncertain significance. Hum Mutat 33(11):1526–1537. https://doi.org/10.1002/humu.22150

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Woods NT, Baskin R, Golubeva V, Jhuraney A, De-Gregoriis G, Vaclova T, Goldgar DE, Couch FJ, Carvalho MA, Iversen ES, Monteiro AN (2016) Functional assays provide a robust tool for the clinical annotation of genetic variants of uncertain significance. NPJ Genom Med 1. https://doi.org/10.1038/npjgenmed.2016.1

  10. Iversen ES Jr, Couch FJ, Goldgar DE, Tavtigian SV, Monteiro AN (2011) A computational method to classify variants of uncertain significance using functional assay data with application to BRCA1. Cancer Epidemiol Biomark Prev 20(6):1078–1088. https://doi.org/10.1158/1055-9965.EPI-10-1214

    Article  CAS  Google Scholar 

  11. Spurdle AB, Whiley PJ, Thompson B, Feng B, Healey S, Brown MA, Pettigrew C, kConFab, Van Asperen CJ, Ausems MG, Kattentidt-Mouravieva AA, van den Ouweland AM, Dutch Belgium UVC, Lindblom A, Pigg MH, Schmutzler RK, Engel C, Meindl A, German Consortium of Hereditary B, Ovarian C, Caputo S, Sinilnikova OM, Lidereau R, French Cgc, Couch FJ, Guidugli L, Hansen T, Thomassen M, Eccles DM, Tucker K, Benitez J, Domchek SM, Toland AE, Van Rensburg EJ, Wappenschmidt B, Borg A, Vreeswijk MP, Goldgar DE, Consortium E (2012) BRCA1 R1699Q variant displaying ambiguous functional abrogation confers intermediate breast and ovarian cancer risk. J Med Genet 49(8):525–532. https://doi.org/10.1136/jmedgenet-2012-101037

    Article  CAS  PubMed  Google Scholar 

  12. Lindor NM, Guidugli L, Wang X, Vallee MP, Monteiro AN, Tavtigian S, Goldgar DE, Couch FJ (2012) A review of a multifactorial probability-based model for classification of BRCA1 and BRCA2 variants of uncertain significance (VUS). Hum Mutat 33(1):8–21. https://doi.org/10.1002/humu.21627

    Article  CAS  Google Scholar 

  13. Easton DF, Deffenbaugh AM, Pruss D, Frye C, Wenstrup RJ, Allen-Brady K, Tavtigian SV, Monteiro AN, Iversen ES, Couch FJ, Goldgar DE (2007) A systematic genetic assessment of 1,433 sequence variants of unknown clinical significance in the BRCA1 and BRCA2 breast cancer-predisposition genes. Am J Hum Genet 81(5):873–883. https://doi.org/10.1086/521032

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Moghadasi S, Meeks HD, Vreeswijk MP, Janssen LA, Borg A, Ehrencrona H, Paulsson-Karlsson Y, Wappenschmidt B, Engel C, Gehrig A, Arnold N, Hansen TVO, Thomassen M, Jensen UB, Kruse TA, Ejlertsen B, Gerdes AM, Pedersen IS, Caputo SM, Couch F, Hallberg EJ, van den Ouweland AM, Collee MJ, Teugels E, Adank MA, van der Luijt RB, Mensenkamp AR, Oosterwijk JC, Blok MJ, Janin N, Claes KB, Tucker K, Viassolo V, Toland AE, Eccles DE, Devilee P, Van Asperen CJ, Spurdle AB, Goldgar DE, Garcia EG (2018) 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 55(1):15–20. https://doi.org/10.1136/jmedgenet-2017-104560

    Article  PubMed  Google Scholar 

  15. Spurdle AB, Couch FJ, Parsons MT, et al. (2014) Refined histopathological predictors of BRCA1 and BRCA2 mutation status: a large-scale analysis of breast cancer characteristics from the BCAC, CIMBA, and ENIGMA consortia. Breast Cancer Res 16(6):3419. https://doi.org/10.1186/s13058-014-0474-y

    Article  PubMed  PubMed Central  Google Scholar 

  16. Notredame C, Higgins DG, Heringa J (2000) T-Coffee: a novel method for fast and accurate multiple sequence alignment. J Mol Biol 302(1):205–217. https://doi.org/10.1006/jmbi.2000.4042

    Article  CAS  PubMed  Google Scholar 

  17. Keane TM, Goodstadt L, Danecek P, White MA, Wong K, Yalcin B, Heger A, Agam A, Slater G, Goodson M, Furlotte NA, Eskin E, Nellaker C, Whitley H, Cleak J, Janowitz D, Hernandez-Pliego P, Edwards A, Belgard TG, Oliver PL, McIntyre RE, Bhomra A, Nicod J, Gan X, Yuan W, van der Weyden L, Steward CA, Bala S, Stalker J, Mott R, Durbin R, Jackson IJ, Czechanski A, Guerra-Assuncao JA, Donahue LR, Reinholdt LG, Payseur BA, Ponting CP, Birney E, Flint J, Adams DJ (2011) Mouse genomic variation and its effect on phenotypes and gene regulation. Nature 477(7364):289–294. https://doi.org/10.1038/nature10413

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Aken BL, Achuthan P, Akanni W, Amode MR, Bernsdorff F, Bhai J, Billis K, Carvalho-Silva D, Cummins C, Clapham P, Gil L, Giron CG, Gordon L, Hourlier T, Hunt SE, Janacek SH, Juettemann T, Keenan S, Laird MR, Lavidas I, Maurel T, McLaren W, Moore B, Murphy DN, Nag R, Newman V, Nuhn M, Ong CK, Parker A, Patricio M, Riat HS, Sheppard D, Sparrow H, Taylor K, Thormann A, Vullo A, Walts B, Wilder SP, Zadissa A, Kostadima M, Martin FJ, Muffato M, Perry E, Ruffier M, Staines DM, Trevanion SJ, Cunningham F, Yates A, Zerbino DR, Flicek P (2017) Ensembl 2017. Nucleic Acids Res 45(D1):D635–D642. https://doi.org/10.1093/nar/gkw1104

    Article  CAS  PubMed  Google Scholar 

  19. Thompson D, Easton DF, Goldgar DE (2003) A full-likelihood method for the evaluation of causality of sequence variants from family data. Am J Hum Genet 73(3):652–655. https://doi.org/10.1086/378100

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Antoniou A, Pharoah PD, Narod S, Risch HA, Eyfjord JE, Hopper JL, Loman N, Olsson H, Johannsson O, Borg A, Pasini B, Radice P, Manoukian S, Eccles DM, Tang N, Olah E, Anton-Culver H, Warner E, Lubinski J, Gronwald J, Gorski B, Tulinius H, Thorlacius S, Eerola H, Nevanlinna H, Syrjakoski K, Kallioniemi OP, Thompson D, Evans C, Peto J, Lalloo F, Evans DG, Easton DF (2003) Average risks of breast and ovarian cancer associated with BRCA1 or BRCA2 mutations detected in case Series unselected for family history: a combined analysis of 22 studies. Am J Hum Genet 72(5):1117–1130. https://doi.org/10.1086/375033

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Plon SE, Eccles DM, Easton D, Foulkes WD, Genuardi M, Greenblatt MS, Hogervorst FB, Hoogerbrugge N, Spurdle AB, Tavtigian SV, Group IUGVW (2008) Sequence variant classification and reporting: recommendations for improving the interpretation of cancer susceptibility genetic test results. Hum Mutat 29(11):1282–1291. https://doi.org/10.1002/humu.20880

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Lek M, Karczewski KJ, Minikel EV, Samocha KE, Banks E, Fennell T, O’Donnell-Luria AH, Ware JS, Hill AJ, Cummings BB, Tukiainen T, Birnbaum DP, Kosmicki JA, Duncan LE, Estrada K, Zhao F, Zou J, Pierce-Hoffman E, Berghout J, Cooper DN, Deflaux N, DePristo M, Do R, Flannick J, Fromer M, Gauthier L, Goldstein J, Gupta N, Howrigan D, Kiezun A, Kurki MI, Moonshine AL, Natarajan P, Orozco L, Peloso GM, Poplin R, Rivas MA, Ruano-Rubio V, Rose SA, Ruderfer DM, Shakir K, Stenson PD, Stevens C, Thomas BP, Tiao G, Tusie-Luna MT, Weisburd B, Won HH, Yu D, Altshuler DM, Ardissino D, Boehnke M, Danesh J, Donnelly S, Elosua R, Florez JC, Gabriel SB, Getz G, Glatt SJ, Hultman CM, Kathiresan S, Laakso M, McCarroll S, McCarthy MI, McGovern D, McPherson R, Neale BM, Palotie A, Purcell SM, Saleheen D, Scharf JM, Sklar P, Sullivan PF, Tuomilehto J, Tsuang MT, Watkins HC, Wilson JG, Daly MJ, MacArthur DG, Exome Aggregation C (2016) Analysis of protein-coding genetic variation in 60,706 humans. Nature 536(7616):285–291. https://doi.org/10.1038/nature19057

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Lord CJ, Ashworth A (2017) PARP inhibitors: synthetic lethality in the clinic. Science 355(6330):1152–1158. https://doi.org/10.1126/science.aam7344

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Smith KL, Isaacs C (2011) BRCA mutation testing in determining breast cancer therapy. Cancer J 17(6):492–499. https://doi.org/10.1097/PPO.0b013e318238f579

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Betts MJ, Russell RB (2007) Amino-acid properties and consequences of substitutions. In: Barnes MR (ed) Bioinformatics for geneticists. Wiley, Chichester, pp 311–342. https://doi.org/10.1002/9780470059180.ch13

    Chapter  Google Scholar 

  26. Kast K, Rhiem K, Wappenschmidt B, Hahnen E, Hauke J, Bluemcke B, Zarghooni V, Herold N, Ditsch N, Kiechle M, Braun M, Fischer C, Dikow N, Schott S, Rahner N, Niederacher D, Fehm T, Gehrig A, Mueller-Reible C, Arnold N, Maass N, Borck G, de Gregorio N, Scholz C, Auber B, Varon-Manteeva R, Speiser D, Horvath J, Lichey N, Wimberger P, Stark S, Faust U, Weber BH, Emons G, Zachariae S, Meindl A, Schmutzler RK, Engel C, German Consortium for Hereditary B, Ovarian C (2016) Prevalence of BRCA1/2 germline mutations in 21 401 families with breast and ovarian cancer. J Med Genet 53(7):465–471. https://doi.org/10.1136/jmedgenet-2015-103672

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank the families who contributed to this study. We thank Sean Tavtigian for his helpful advice regarding sequence conservation comparisons and members of the ENIGMA steering committee for critique on this manuscript. We thank Kathleen Claes and Nora Martinussen Tandstad for contributing data from Belgium and Norway respectively. ET is supported by a grant from the National Health and Medical Research Council (ID1104808). SM was supported by the Netherlands Organization for Scientific Research (NWO), research program Mosaic (Grant 017.008.022) and Van de Kampfonds from Leiden University Medical Centre (Grant 30.925). MTP is supported by a grant from Newcastle University, UK and ABS by an NHMRC Senior Research Fellowship (ID1061779). CL wishes to thank the ICO Hereditary Cancer Program team led by Dr. Gabriel Capella. CL is supported by the Carlos III Health Institute funded by FEDER funds – a way to build Europe – [PI16/00563 and CIBERONC]; the Government of Catalonia [Pla estratègic de recerca i innovació en salut (PERIS), 2017SGR1282 and 2017SGR496]; and the Scientific Foundation Asociación Española Contra el Cáncer.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Amanda B. Spurdle or Conxi Lazaro.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

Families were ascertained as part of an ENIGMA consortium project. Each contributing center had ethical approval to recruit consenting individuals from families for the purpose of aiding variant classification. Informed consent was obtained from all individual participants included in the study. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tudini, E., Moghadasi, S., Parsons, M.T. et al. Substantial evidence for the clinical significance of missense variant BRCA1 c.5309G>T p.(Gly1770Val). Breast Cancer Res Treat 172, 497–503 (2018). https://doi.org/10.1007/s10549-018-4903-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10549-018-4903-y

Keywords

Navigation