3 papers
stat.ME2022
An Adaptive and Robust Method for Multi-trait Analysis of Genome-wide Association Studies Using Summary Statistics
Qiaolan Deng, Chi Song, Shili Lin
Genome-wide association studies (GWAS) have identified thousands of genetic variants associated with human traits or diseases in the past decade. Nevertheless, much of the heritabi…
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…
stat.ME2020
Multiple-trait Adaptive Fisher's Method for Genome-wide Association Studies
Qiaolan Deng, Chi Song
In genome-wide association studies (GWASs), there is an increasing need for detecting the associations between a genetic variant and multiple traits. In studies of complex diseases…