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q-bio.GN2022
graph-GPA 2.0: A Graphical Model for Multi-disease Analysis of GWAS Results with Integration of Functional Annotation Data
Qiaolan Deng, Jin Hyun Nam, Ayse Selen Yilmaz +5
Genome-wide association studies (GWAS) have successfully identified a large number of genetic variants associated with traits and diseases. However, it still remains challenging to…
q-bio.GN2021
GPA-Tree: Statistical Approach for Functional-Annotation-Tree-Guided Prioritization of GWAS Results
Aastha Khatiwada, Bethany J. Wolf, Ayse Selen Yilmaz +6
Motivation: In spite of great success of genome-wide association studies (GWAS), multiple challenges still remain. First, complex traits are often associated with many single nucle…