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Human Genetics|December 18, 2019
A powerful fine-mapping method for transcriptome-wide association studiesChong Wu, Wei PanGenetics|May 6, 2018
Integration of Enhancer-Promoter Interactions with GWAS Summary Results Identifies Novel Schizophrenia-Associated Genes and PathwaysChong Wu, Wei PanBioinformatics (Oxford, England)|March 10, 2019
Integration of methylation QTL and enhancer-target gene maps with schizophrenia GWAS summary results identifies novel genesChong Wu, Wei PanGenetic Epidemiology|February 8, 2018
Integrating eQTL data with GWAS summary statistics in pathway-based analysis with application to schizophreniaChong Wu, Wei PanNeuroimage|July 25, 2017
Imaging-wide association study: Integrating imaging endophenotypes in GWASZhiyuan Xu, Chong Wu, Wei Pan, et al.Genetic Epidemiology|July 18, 2020
Leveraging existing GWAS summary data of genetically correlated and uncorrelated traits to improve power for a new GWASHaoran Xue, Chong Wu, Wei PanBMC Genetics|September 27, 2018
An adaptive gene-level association test for pedigree dataJun Young Park, Chong Wu, Wei PanThe Annals of Applied Statistics|February 27, 2018
A NOVEL AND EFFICIENT ALGORITHM FOR DE NOVO DISCOVERY OF MUTATED DRIVER PATHWAYS IN CANCERBinghui Liu, Chong Wu, Xiaotong Shen, et al.Genome Medicine|May 21, 2016
An adaptive association test for microbiome dataChong Wu, Jun Chen, Junghi Kim, et al.Human Molecular Genetics|January 11, 2020
Integrating DNA sequencing and transcriptomic data for association analyses of low-frequency variants and lipid traitsTianzhong Yang, Chong Wu, Peng Wei, et al.Pageof 302