Truncated tests for combining evidence of summary statistics

doi:10.1002/gepi.22330

CSpace

	Truncated tests for combining evidence of summary statistics
	Bu, Deliang 1,2; Yang, Qinglong 3; Meng, Zhen 4; Zhang, Sanguo 1,2; Li, Qizhai 1,4
	2020-06-24
发表期刊	GENETIC EPIDEMIOLOGY
ISSN	0741-0395
页码	15
摘要	To date, thousands of genetic variants to be associated with numerous human traits and diseases have been identified by genome-wide association studies (GWASs). The GWASs focus on testing the association between single trait and genetic variants. However, the analysis of multiple traits and single nucleotide polymorphisms (SNPs) might reflect physiological process of complex diseases and the corresponding study is called pleiotropy association analysis. Modern day GWASs report only summary statistics instead of individual-level phenotype and genotype data to avoid logistical and privacy issues. Existing methods for combining multiple phenotypes GWAS summary statistics mainly focus on low-dimensional phenotypes while lose power in high-dimensional cases. To overcome this defect, we propose two kinds of truncated tests to combine multiple phenotypes summary statistics. Extensive simulations show that the proposed methods are robust and powerful when the dimension of the phenotypes is high and only part of the phenotypes are associated with the SNPs. We apply the proposed methods to blood cytokines data collected from Finnish population. Results show that the proposed tests can identify additional genetic markers that are missed by single trait analysis.
关键词	high-dimensional phenotypes pleiotropy summary statistics truncated test
DOI	10.1002/gepi.22330
收录类别	SCI
语种	英语
资助项目	National Nature Science Foundation of China[11722113] ; National Nature Science Foundation of China[11671311] ; National Nature Science Foundation of China[11971324] ; National Nature Science Foundation of China[U19B2040] ; University of Chinese Academy of Sciences[Y95401TXX2] ; Beijing Natural Science Foundation[Z180006] ; Beijing Natural Science Foundation[Z190004] ; China Institute of Marine Technology and Economy[2019A128] ; Ministry of education of Humanities and Social Science project[19YJC910008]
WOS研究方向	Genetics & Heredity ; Mathematical & Computational Biology
WOS类目	Genetics & Heredity ; Mathematical & Computational Biology
WOS记录号	WOS:000542579800001
出版者	WILEY
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/51694
专题	中国科学院数学与系统科学研究院
通讯作者	Li, Qizhai
作者单位	1.Univ Chinese Acad Sci, Sch Math Sci, Beijing, Peoples R China 2.Chinese Acad Sci, Key Lab Big Data Min & Knowledge Management, Beijing, Peoples R China 3.Zhongnan Univ Econ & Law, Sch Stat & Math, Wuhan, Peoples R China 4.Chinese Acad Sci, Acad Math & Syst Sci, NCMIS, LSC, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Bu, Deliang,Yang, Qinglong,Meng, Zhen,et al. Truncated tests for combining evidence of summary statistics[J]. GENETIC EPIDEMIOLOGY,2020:15.
APA	Bu, Deliang,Yang, Qinglong,Meng, Zhen,Zhang, Sanguo,&Li, Qizhai.(2020).Truncated tests for combining evidence of summary statistics.GENETIC EPIDEMIOLOGY,15.
MLA	Bu, Deliang,et al."Truncated tests for combining evidence of summary statistics".GENETIC EPIDEMIOLOGY (2020):15.