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Single-Nucleotide Polymorphism to Associate Cancer Risk

  • Victoria Shaw
  • Katie Bullock
  • William GreenhalfEmail author
Protocol
Part of the Methods in Molecular Biology book series (MIMB, volume 1381)

Abstract

Genetic heterogeneity explains variation in predisposition for cancer. Whole-genome analysis allows risk to be quantified, giving better targeted screening and quantification of the personalized risk posed by environmental factors. Array-based approaches to whole-genome analysis are rapidly being overtaken by next-generation sequencing (NGS). In this review the different platforms currently available for NGS are compared and the opportunities and risks of this approach are discussed: including the informatics packages required and the ethical issues. Methods applicable to the personal genome machine (PGM) are given as an example of workflows.

Key words

Single-nucleotide polymorphism (SNP) Next Generation Sequencing (NGS) 

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Victoria Shaw
    • 1
  • Katie Bullock
    • 1
  • William Greenhalf
    • 1
    Email author
  1. 1.NIHR Pancreatic Biomedical Research Unit, Molecular and Clinical Cancer MedicineRoyal Liverpool University HospitalLiverpoolUK

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