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A transcriptome-wide association study of Alzheimer's disease using prediction models of relevant tissues identifies novel candidate susceptibility genes.
Yanfa Sun, Jingjing Zhu, Dan Zhou, Saranya Canchi, Chong Wu, Nancy J Cox, Robert A Rissman, Eric R Gamazon, Lang Wu
Oct 02, 2021
Alzheimer’s disease etiology susceptibility genes transcriptome-wide association study Alleles Alzheimer Disease Chromosome Mapping Computational Biology Databases Genetic Gene Expression Profiling Gene Expression Regulation Genetic Predisposition to Disease Genome-Wide Association Study Humans Models Biological Organ Specificity Polymorphism Single Nucleotide Prognosis Resorcinols Signal Transduction Transcriptome
Accurate error control in high-dimensional association testing using conditional false discovery rates.
High-dimensional hypothesis testing is ubiquitous in the biomedical sciences, and informative covariates may be employed to improve power. The conditional false discovery rate (cFDR) is a widely used approach suited to the...