广西师范大学学报（自然科学版） ›› 2022, Vol. 40 ›› Issue (1): 1-14.doi: 10.16088/j.issn.1001-6600.2021060904

• 综述 •    下一篇

多性状多位点遗传关联分析的统计方法研究及其应用进展

艾艳, 贾楠, 王媛, 郭静, 潘东东*   

  1. 云南大学 数学与统计学院, 云南 昆明 650500
  • 收稿日期:2021-06-09 修回日期:2021-08-04 出版日期:2022-01-25 发布日期:2022-01-24
  • 通讯作者: 潘东东(1983—), 男, 湖南冷水江人, 云南大学副教授, 博士。E-mail: ddpan@ynu.edu.cn
  • 基金资助:
    国家自然科学基金(11661080); 云南大学第十二届研究生科研创新项目(2020Z68)

Review of Statistical Methods and Applications of Genetic Association Analysis for Multiple Traits and Multiple Locus

AI Yan, JIA Nan, WANG Yuan, GUO Jing, PAN Dongdong*   

  1. School of Mathematics and Statistics, Yunnan University, Kunming Yunnan 650500, China
  • Received:2021-06-09 Revised:2021-08-04 Online:2022-01-25 Published:2022-01-24

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摘要： 首先,对罕见变异遗传关联分析领域存在的统计问题及相关研究前沿和热点进行梳理分析;其次,对单位点及多位点分析常用统计方法做系统概述,并讨论这些方法存在的问题及面临的挑战;最后,对多性状多位点关联分析方法的未来发展前景作展望。

关键词: 全基因组关联分析, 多性状, 多位点, 单核苷酸多态性

Abstract: In this review, the statistical issues of association of genetic variants are firstly analyzed. Secondly,the principles and basic assumptions of multiple traits test,single locus test and multiple loci analysis methods in recent years are systematically summarized, the existing problems and challenges of these methods are analyzed. Finally,the future possible development of the genetic method of multiple traits and multiple loci association analysis is pesented.

Key words: GWAS, multiple traits, multiple loci, SNP

中图分类号: 

  • R195.1
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