Skip to main content

Advances in Genetic Testing for Hereditary Cancer Syndromes

  • Chapter
  • First Online:
Rare Hereditary Cancers

Part of the book series: Recent Results in Cancer Research ((RECENTCANCER,volume 205))

Abstract

The ability to identify genetic mutations causing an increased risk of cancer represents the first widespread example of personalised medicine, in which genetic information is used to inform patients of their cancer risks and direct an appropriate strategy to minimise those risks. Increasingly, an understanding of the genetic basis of many cancers also facilitates selection of the most effective therapeutic options. The technology underlying genetic testing has been revolutionised in the years since the completion of the Human Genome Project in 2001. This has advanced knowledge of the genetic factors underlying familial cancer risk, and has also improved genetic testing capacity allowing a larger number of patients to be tested for a constitutional cancer predisposition. To use these tests safely and effectively, they must be assessed for their ability to provide accurate and useful results, and be requested and interpreted by health professionals with an understanding of their strengths and limitations. Genetic testing is increasing in its scope and ambition with each year that passes, requiring a greater proportion of the healthcare workforce to acquire a working knowledge of genetics and genetic testing to manage their patients safely and sensitively.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • ACMG Board of Directors (2015) ACMG policy statement: updated recommendations regarding analysis and reporting of secondary findings in clinical genome-scale sequencing. Genet Med 17:68–69

    Article  Google Scholar 

  • Adzhubei IA, Schmidt S, Peshkin L et al (2010) A method and server for predicting damaging missense mutations. Nat Meth 7:248–249

    Article  CAS  Google Scholar 

  • Bentley DR, Balasubramanian S, Swerdlow HP et al (2008) Accurate whole human genome sequencing using reversible terminator chemistry. Nature 456:53–59

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Bergner AL, Bollinger J, Raraigh KS et al (2014) Informed consent for exome sequencing research in families with genetic disease: the emerging issue of incidental findings. Am J Med Genet Part A 164:2745–2752

    Article  Google Scholar 

  • Burke W, Matheny Antommaria AH, Bennett R, et al (2013) Recommendations for returning genomic incidental findings? We need to talk! Genet Med 15:854–859

    Google Scholar 

  • Forbes SA, Beare D, Gunasekaran P et al (2015) COSMIC: exploring the world’s knowledge of somatic mutations in human cancer. Nucleic Acids Res 43:D805–D811

    Article  PubMed  PubMed Central  Google Scholar 

  • González-Pérez A, López-Bigas N (2011) Improving the assessment of the outcome of nonsynonymous SNVs with a consensus deleteriousness score, Condel. Am J Hum Genet 88:440–449

    Article  PubMed  PubMed Central  Google Scholar 

  • Green RC, Berg JS, Grody WW et al (2013) ACMG recommendations for reporting of incidental findings in clinical exome and genome sequencing. Genet Med 15:565–574

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Haddow J, Palomaki G (2003) ACCE: a model process for evaluating data on emerging genetic tests. In: Khoury M, Little J, Burke W (eds) Human genome epidemiology: a scientific foundation for using genetic information to improve health and prevent disease. Oxford University Press, Oxford

    Google Scholar 

  • Hirschhorn JN, Gajdos ZKZ (2011) Genome-wide association studies: results from the first few years and potential implications for clinical medicine. Annu Rev Med 62:11–24

    Article  CAS  PubMed  Google Scholar 

  • Kumar P, Henikoff S, Ng PC (2009) Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm. Nat Protocols 4:1073–1081

    Article  CAS  PubMed  Google Scholar 

  • Lander ES, Linton LM, Birren B et al (2001) Initial sequencing and analysis of the human genome. Nature 409:860–921

    Article  CAS  PubMed  Google Scholar 

  • Lee J-M, Ledermann JA, Kohn EC (2014) PARP inhibitors for BRCA1/2 mutation-associated and BRCA-like malignancies. Ann Oncol 25:32–40

    Article  PubMed  PubMed Central  Google Scholar 

  • Margulies M, Egholm M, Altman WE et al (2005) Genome sequencing in microfabricated high-density picolitre reactors. Nature 437:376–380

    CAS  PubMed  PubMed Central  Google Scholar 

  • McKernan KJ, Peckham HE, Costa GL et al (2009) Sequence and structural variation in a human genome uncovered by short-read, massively parallel ligation sequencing using two-base encoding. Genome Res 19:1527–1541

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Ng SB, Turner EH, Robertson PD et al (2009) Targeted capture and massively parallel sequencing of 12 human exomes. Nature 461:272–276

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Peters BA, Kermani BG, Sparks AB et al (2012) Accurate whole-genome sequencing and haplotyping from 10 to 20 human cells. Nature 487:190–195

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • The Encode Project Consortium (2011) A user’s guide to the encyclopedia of DNA elements (ENCODE). PLoS Biol 9:e1001046

    Article  PubMed Central  Google Scholar 

  • The International HapMap Consortium (2005) A haplotype map of the human genome. Nature 437:1299–1320

    Article  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ellen Thomas .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Thomas, E., Mohammed, S. (2016). Advances in Genetic Testing for Hereditary Cancer Syndromes. In: Pichert, G., Jacobs, C. (eds) Rare Hereditary Cancers. Recent Results in Cancer Research, vol 205. Springer, Cham. https://doi.org/10.1007/978-3-319-29998-3_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-29998-3_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-29996-9

  • Online ISBN: 978-3-319-29998-3

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics