畜牧兽医学报 ›› 2017, Vol. 48 ›› Issue (7): 1173-1180.doi: 10.11843/j.issn.0366-6964.2017.07.001

• 综述 • 上一篇    下一篇

稀有变异关联分析研究进展及其在畜禽中的应用展望

苗健1,2, 常天鹏1, 史新平1, 夏江威1, 高会江1*, 李俊雅1*   

  1. 1. 中国农业科学院北京畜牧兽医研究所, 北京 100193;
    2. 福建农林大学动物科学学院, 福州 350002
  • 收稿日期:2017-02-16 出版日期:2017-07-23 发布日期:2017-07-23
  • 通讯作者: 高会江,研究员,E-mail:gaohj111@sina.com;李俊雅,研究员,E-mail:lijunya@caas.cn
  • 作者简介:苗健(1993-),男,江苏常州人,硕士生,主要从事动物遗传育种与繁殖研究,E-mail:miaojian6363@163.com
  • 基金资助:

    国家自然科学基金(31472079)

Study Progress on Rare Variants Association Studies and Its Application in Livestock

MIAO Jian1,2, CHANG Tian-peng1, SHI Xin-ping1, XIA Jiang-wei1, GAO Hui-jiang1*, LI Jun-ya1*   

  1. 1. Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China;
    2. College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China
  • Received:2017-02-16 Online:2017-07-23 Published:2017-07-23

摘要:

在过去十年里,全基因组关联分析成功鉴定了数以千计的常见变异与常见疾病(性状)的关联。尽管如此,缺失遗传力的问题逐渐引起了广泛关注。由于GWAS的目标是鉴定常见变异与表型的关联,稀有变异成为解释缺失遗传力的一个重要答案。随着测序技术的发展,人们得以研究稀有变异与复杂疾病(性状)的关联。一系列的稀有变异关联分析(RVAS)方法被提出并应用于人类复杂疾病中,然而在畜禽上鲜有研究。本文首先综述了RVAS中具有代表性的测序核关联检验(SKAT)及其家族;其后,总结了两种在稀有变异中常用的提高效力的方法:极端表型抽样和荟萃分析;然后,探讨了使用芯片数据研究RVAS的方法:基因型填充和稀有单倍型关联分析;最后展望了稀有变异关联分析在畜禽上的应用前景。

Abstract:

Genome-wide association studies have identified thousands of associations between common variants and common diseases(traits) in the last decade. Despite these discoveries, the missing heritability has attracted much concerns increasingly. Rare variants have become a key answer to explain the missing heritability, because GWAS focus on identifying the associations between common variants and phenotypes. The rapid advances in DNA sequence have made it possible to identify the associations between rare variants and common diseases(traits). A series of rare variants association analysis(RVAS) methods have been proposed and were applicated to many human diseases, however fewer investigations in livestock. In this review, we first briefly report the methods of sequence kernel association test(SKAT) and its family, which are representative. Then, we summary two methods which are used to improve the effectiveness in RVAS:extreme phenotype sampling and meta-analysis. Hereafter, we review the methods utilizing GWAS data to perform RVAS:imputation and rare haplotype associations analysis. Finally, we provide some guidelines for performing RVAS in livestock.

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