文献类型： 外文期刊
作者： Hao, Zhiyu 3 ; Jiang, Li 2 ; Gao, Jin 2 ; Ye, Jinhua 4 ; Zhao, Jingli 2 ; Li, Shuling 1 ; Yang, Runqing 2 ;
作者机构： 1.Northeast Agr Univ, Coll Life Sci, Harbin 150030, Peoples R China
2.Chinese Acad Fishery Sci, Res Ctr Aquat Biotechnol, Beijing 100141, Peoples R China
3.Northeast Agr Univ, Coll Anim Sci & Technol, Harbin, Peoples R China
4.Heilongjiang Bayi Agr Univ, Dept Math, Harbin, Peoples R China
关键词： genome-wide association study; multiple testing; critical threshold; quick approximation
期刊名称：BRIEFINGS IN BIOINFORMATICS （ 影响因子：11.622； 五年影响因子：10.288 ）
ISSN： 1467-5463
年卷期： 2019 年 20 卷 6 期
页码：
收录情况： SCI
摘要： Standard normal statistics, chi-squared statistics, Student's t statistics and F statistics are used to map quantitative trait nucleotides for both small and large sample sizes. In genome-wide association studies (GWASs) of single-nucleotide polymorphisms (SNPs), the statistical distributions depend on both genetic effects and SNPs but are independent of SNPs under the null hypothesis of no genetic effects. Therefore, hypothesis testing when a nuisance parameter is present only under the alternative was introduced to quickly approximate the critical thresholds of these test statistics for GWASs. When only the statistical probabilities are available for high-throughput SNPs, the approximate critical thresholds can be estimated with chi-squared statistics, formulated by statistical probabilities with a degree of freedom of two. High similarities in the critical thresholds between the accurate and approximate estimations were demonstrated by extensive simulations and real data analysis.
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