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Genetic Epidemiology|July 13, 2021
InTACT: An adaptive and powerful framework for joint-tissue transcriptome-wide association studiesYe Eun Bae, Lang Wu, Chong Wu
Nature Communications|October 25, 2022
SUMMIT: An integrative approach for better transcriptomic data imputation improves causal gene identificationZichen Zhang, Ye Eun Bae, Jonathan R Bradley, et al.
Neurobiology of Disease|June 24, 2023
A splicing transcriptome-wide association study identifies novel altered splicing for Alzheimer's disease susceptibilityYanfa Sun, Ye Eun Bae, Jingjing Zhu, et al.
Carcinogenesis|September 28, 2023
Splicing transcriptome-wide association study to identify splicing events for pancreatic cancer riskDuo Liu, Ye Eun Bae, Jingjing Zhu, et al.
Omics : a Journal of Integrative Biology|July 24, 2023
A Splicing Transcriptome-Wide Association Study Identifies Candidate Altered Splicing for Prostate Cancer RiskYanfa Sun, Ye Eun Bae, Jingjing Zhu, et al.
The Journal of Infectious Diseases|October 21, 2020
Associations Between Genetically Predicted Protein Levels and COVID-19 SeverityJingjing Zhu, Chong Wu, Lang Wu
Genetics in Medicine : Official Journal of the American College of Medical Genetics|June 29, 2021
An integrative multiomics analysis identifies putative causal genes for COVID-19 severityLang Wu, Jingjing Zhu, Duo Liu, et al.
Bioinformatics (Oxford, England)|February 1, 2021
A gene-level methylome-wide association analysis identifies novel Alzheimer's disease genesChong Wu, Jonathan Bradley, Yanming Li, et al.
BMC Medicine|November 6, 2022
Polygenic risk score improves the accuracy of a clinical risk score for coronary artery diseaseAustin King, Lang Wu, Hong-Wen Deng, et al.
Medrxiv : the Preprint Server for Health Sciences|March 30, 2023
MIMOSA: A resource consisting of improved methylome imputation models increases power to identify DNA methylation-phenotype associationsHunter J Melton, Zichen Zhang, Hong-Wen Deng, et al.
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