4 citations · 6 across the 6 of their papers we have counts for
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stat.ME2023
multi-GPA-Tree: Statistical Approach for Pleiotropy Informed and Functional Annotation Tree Guided Prioritization of GWAS Results
Aastha Khatiwada, Ayse Selen Yilmaz, Bethany J. Wolf +2
Genome-wide association studies (GWAS) have successfully identified over two hundred thousand genotype-trait associations. Yet some challenges remain. First, complex traits are oft…
stat.ME2014★ 2 cited
GPA: A statistical approach to prioritizing GWAS results by integrating pleiotropy information and annotation data
Dongjun Chung, Can Yang, Cong Li +2
Genome-wide association studies (GWAS) suggests that a complex disease is typically affected by many genetic variants with small or moderate effects. Identification of these risk v…