Identification of therapeutic targets from genetic association studies using hierarchical component analysis.
Hao-Chih LeeOsamu IchikawaBenjamin S GlicksbergAparna A DivaraniyaChristine E BeckerPankaj AgarwalJoel T DudleyPublished in: BioData mining (2020)
We tested genome-wide associations of four disease phenotypes, including age-related macular degeneration, Crohn's disease, ulcerative colitis and rheumatoid arthritis, and demonstrated the proposed method could select more functional genes than S-PrediXcan, the previous single-step model for predicting gene-level associations from SNP-level associations.