Article
A statistical framework to identify cell types whose genetically regulated proportions are associated with complex diseases.
PLoS genetics - 1 Jul 2023
Liu Wei, Deng Wenxuan, Chen Ming, Dong Zihan, Zhu Biqing, Yu Zhaolong, Tang Daiwei, Sauler Maor, Lin Chen, Wain Louise V, Cho Michael H, Kaminski Naftali, Zhao Hongyu
Abstract excerpt
Finding disease-relevant tissues and cell types can facilitate the identification and investigation of functional genes and variants. In particular, cell type proportions can serve as potential disease predictive biomarkers. In this manuscript, we introduce a novel statistical framework, cell-type Wide Association Study (cWAS), that integrates genetic data with transcriptomics data to identify cell types whose...
Topics
- Humans
- Female
- Genetic Predisposition to Disease
- Lung
- Gene Expression Profiling
- Pulmonary Disease, Chronic Obstructive
- Breast Neoplasms
- Genome-Wide Association Study
- Polymorphism, Single Nucleotide