Estimating driver-tissues by robust selective expression of genes associated with complex diseases or traits
Estimating driver-tissues by robust selective expression of genes associated with complex diseases or traits
Abstract The driver tissues or cell-types of many human diseases, in which susceptibility genes cause the diseases, remain elusive. We developed a framework to detect the causal-tissues of complex diseases or traits according to selective expression of disease-associated genes in genome-wide association study (GWAS). The core method of the framework is a new robust z-score to estimate genes’ expression selectivity. Through extensive computing simulations and comparative analyses in a large-scale schizophrenia GWAS, we demonstrate the robust z-score is more sensitive than existing methods to detect multiple selectively expressed tissues, which further lead to the estimation of more biological sensible driver tissues. The effectiveness of this framework is further validated in five representative complex diseases with the usage of GWAS summary statistics and transcript-level expression in GTEx project. Finally, we also demonstrate that the prioritized tissues and the robust selective expression can enhance characterization of directly associated genes of a disease as well. Interesting results include the estimation of lung as a driver tissue of rheumatoid arthritis, consistent with clinical observations of morbidity between rheumatoid arthritis and lung diseases.
Jiang Lin、Dai Sheng、Chen Peikai、Sham Pak Chung、Wang Haijun、Chen Shangzhen、Xue Chao、Li Miaoxin
Zhongshan School of Medicine, Center for Disease Genomics, Sun Yat-sen UniversityZhongshan School of Medicine, Center for Disease Genomics, Sun Yat-sen UniversityThe Centre for Genomic Sciences, Department of Psychiatry, State Key Laboratory of Brain and Cognitive Sciences, the University of Hong KongThe Centre for Genomic Sciences, Department of Psychiatry, State Key Laboratory of Brain and Cognitive Sciences, the University of Hong KongDepartment of Pituitary Tumour Center, The First Affiliated Hospital, Sun Yat-sen UniversityZhongshan School of Medicine, Center for Disease Genomics, Sun Yat-sen UniversityZhongshan School of Medicine, Center for Disease Genomics, Sun Yat-sen UniversityZhongshan School of Medicine, Center for Disease Genomics, Sun Yat-sen University||Key Laboratory of Tropical Disease Control (SYSU), Ministry of Education||The Centre for Genomic Sciences, Department of Psychiatry, State Key Laboratory of Brain and Cognitive Sciences, the University of Hong Kong
医学研究方法基础医学生物科学研究方法、生物科学研究技术
Measures of tissue selective expressiondisease driver tissues or cell typesassociated genes of complex diseasesgenome-wide association study
Jiang Lin,Dai Sheng,Chen Peikai,Sham Pak Chung,Wang Haijun,Chen Shangzhen,Xue Chao,Li Miaoxin.Estimating driver-tissues by robust selective expression of genes associated with complex diseases or traits[EB/OL].(2025-03-28)[2025-08-02].https://www.biorxiv.org/content/10.1101/491878.点此复制
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