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用于关联癌症风险的单核苷酸多态性(SNP)分析。

Single-nucleotide polymorphism (SNP) analysis to associate cancer risk.

作者信息

Earl Julie, Greenhalf William

机构信息

Division of Surgery and Oncology, University of Liverpool, Liverpool, UK.

出版信息

Methods Mol Biol. 2010;576:171-96. doi: 10.1007/978-1-59745-545-9_10.

DOI:10.1007/978-1-59745-545-9_10
PMID:19882263
Abstract

Identification of hereditary factors that predispose to cancer allows targeted cancer screening and better quantification of environmental risk factors. The ability to identify which single nucleotide polymorphisms (SNPs) are associated with cancer or segregate with disease in families allows high-risk loci to be identified. In this chapter, two platforms for analysing SNPs are discussed, the Affymetrix and Illumina systems. Application of both platforms requires the same principles of good laboratory practice but there are important differences in materials and methods, which will be discussed.

摘要

确定易患癌症的遗传因素有助于进行有针对性的癌症筛查,并能更好地量化环境风险因素。识别哪些单核苷酸多态性(SNP)与癌症相关或在家族中与疾病共分离的能力,有助于识别高危基因座。在本章中,将讨论两种分析SNP的平台,即Affymetrix和Illumina系统。两种平台的应用都需要遵循良好实验室规范的相同原则,但在材料和方法上存在重要差异,将对此进行讨论。

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