Joint Analysis of multi-phenotype GWAS (JAGWAS)

Efficient multi-phenotype genome-wide analysis identifies genetic associations for unsupervised deep-learning-derived high-dimensional brain imaging phenotypes

Contributors: Bohong Guo, Ziqian Xie, Wei He, Sheikh Muhammad Saiful Islam, Assaf Gottlieb, Han Chen, Degui Zhi

MedRXiv Paper GitHub Repository

Result and supplementary table

• Loci table for discovery cohort
• Loci table for replication cohort
• Loci table for meta-analysis
• Genes identified by FUMA for T1 and T2
• Gene-set enrichment
• Tissue enrichment
• Clustering analysis
• Summary Statistics