46 citations · 57 across the 8 of their papers we have counts for
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q-bio.GN2016★ 4 cited
Controlling the joint local false discovery rate is more powerful than meta-analysis methods in joint analysis of summary statistics from multiple genome-wide association studies
Wei Jiang, Weichuan Yu
In genome-wide association studies (GWASs) of common diseases/traits, we often analyze multiple GWASs with the same phenotype together to discover associated genetic variants with…
q-bio.GN2015★ 1 cited
Estimating Reproducibility in Genome-Wide Association Studies
Wei Jiang, Jing-Hao Xue, Weichuan Yu
Genome-wide association studies (GWAS) are widely used to discover genetic variants associated with diseases. To control false positives, all findings from GWAS need to be verified…
q-bio.GN2010
BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies
Xiang Wan, Can Yang, Qiang Yang +4
Gene-gene interactions have long been recognized to be fundamentally important to understand genetic causes of complex disease traits. At present, identifying gene-gene interaction…