天津医药 ›› 2017, Vol. 45 ›› Issue (6): 660-662.doi: 10.11958/20161587

• 综述 • 上一篇    下一篇

全外显子组测序在遗传性乳腺癌易感基因发掘中的应用

周楠 1,杨康 2△   

  1. 1 内蒙古医科大学附属医院放疗科(邮编 010050);2 天津大学生命科学学院
  • 收稿日期:2016-12-27 修回日期:2017-04-21 出版日期:2017-06-15 发布日期:2017-07-05
  • 通讯作者: △通讯作者 E-mail: Sunny20160826@163.com E-mail:384851866@qq.com
  • 作者简介:周楠(1986),女,本科,护师,主要从事肿瘤方向研究
  • 基金资助:
    内蒙古青年创新科技计划项目(2015FB051);天津市自然科学基金青年项目(16JCQMJC09800)

Whole exome sequencing in the application of hereditary breast cancer susceptibility gene discovery

ZHOU Nan1, YANG Kang2△   

  1. 1 Department of Radiotherapy, the Affiliated Hospital of Inner Mongolia Medical University, Huhehaote 010050, China; 2 School of Life Science, Tianjin University
  • Received:2016-12-27 Revised:2017-04-21 Published:2017-06-15 Online:2017-07-05
  • Contact: △Corresponding Author E-mail: Sunny20160826@163.com E-mail:384851866@qq.com

摘要: 遗传易感因素是诱发乳腺癌的重要原因之一。乳腺癌易感变异根据个体发病率可分为低外显率、中外显 率和高外显率 3 种。传统方法限制了中外显率和高外显率乳腺癌易感基因的发掘,而全外显子测序技术为乳腺癌 易感基因的发掘提供了快速高效的方法。目前,利用全外显子组测序发现了一些此前未发现的乳腺癌易感基因,这 些易感基因对遗传性乳腺癌发病的危险评估和发病机制的研究提供了有益指导。本文对遗传性乳腺癌的全外显子 组测序研究进行综述,对试验设计、数据过滤策略、统计意义和关联分析进行讨论。

关键词: 乳腺肿瘤, 疾病遗传易感性, 序列分析, 全外显子组测序

Abstract: Genetic susceptibility factor is one of the important reasons to induce breast cancer. Breast cancer risk variants are divided into three categories including high, moderate and low penetrances. Traditional BC susceptibility gene discovery approaches limit the search for breast cancer susceptibility genes with high and moderate risk variants. Whole exome sequencing technology provides a quick and efficient method to discover breast cancer susceptibility genes. At present, a number of breast cancer susceptibility genes have been identified by whole exome sequencing method, which provides useful guidance for the risk assessment and pathogenesis of hereditary breast cancer. In this paper, we reviewed the whole exome sequencing technology and discussed the experimental design, data filtering strategy, statistical significance and correlation analysis.

Key words: breast neoplasms, genetic predisposition to disease, sequence analysis, whole exome sequencing