TS: a powerful truncated test to detect novel disease associated genes using publicly available gWAS summary data.

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第一作者： Jianjun,Zhang

第一单位： Department of Mathematics, University of North Texas, 1155 Union Circle #311430, Denton, 76203, TX, USA.

作者： Jianjun,Zhang ^[1] ; Xuan,Guo ^[2] ; Samantha,Gonzales ^[2] ; Jingjing,Yang ^[3] ; Xuexia,Wang ^[4]

作者单位： Department of Mathematics, University of North Texas, 1155 Union Circle #311430, Denton, 76203, TX, USA. ^[1] Department of Computer Science and Engineering, University of North Texas, Discovery Park 3940 N. Elm, Denton, 76203, TX, USA. ^[2] Center for Computational and Quantitative Genetics, Department of Human Genetics School of Medicine, Emory University, Whitehead Biomedical Research Building, Suite 305K, Atlanta, 30322, GA, USA. ^[3] Department of Mathematics, University of North Texas, 1155 Union Circle #311430, Denton, 76203, TX, USA. xuexia.wang@unt.edu. ^[4]

关键词 Burden tests Genome-wide association studies (GWAS)Quadratic test methods Truncated statistic method

主题词糖尿病, 2型(Diabetes Mellitus, Type 2);全基因组关联研究(Genome-Wide Association Study);人类(Humans);模型, 统计学(Models, Statistical);表型(Phenotype);多态性, 单核苷酸(Polymorphism, Single Nucleotide);精神分裂症(Schizophrenia)

DOI 10.1186/s12859-020-3511-0

PMID 32366212

发布时间 2024-03-28

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准确一般字义偏差语意偏离译文作用小提交