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Psychological Medicine|April 25, 2020
Causal relationships between blood lipids and depression phenotypes: a Mendelian randomisation analysisHon-Cheong So, Carlos Kwan-Long Chau, Yu-Ying Cheng, et al.American Journal of Human Genetics|May 3, 2011
Risk prediction of complex diseases from family history and known susceptibility loci, with applications for cancer screeningHon-Cheong So, Johnny S H Kwan, Stacey S Cherny, et al.American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics : the Official Publication of the International Society of Psychiatric Genetics|August 28, 2007
An association study of RGS4 polymorphisms with clinical phenotypes of schizophrenia in a Chinese populationHon-Cheong So, Ronald Y L Chen, Eric Y H Chen, et al.Computational and Structural Biotechnology Journal|July 17, 2020
Turning genome-wide association study findings into opportunities for drug repositioningAlexandria Lau, Hon-Cheong SoIEEE Journal of Biomedical and Health Informatics|July 17, 2018
Drug Repositioning for Schizophrenia and Depression/Anxiety Disorders: A Machine Learning Approach Leveraging Expression DataKai Zhao, Hon-Cheong SoMethods in Molecular Biology (Clifton, N.J.)|December 15, 2018
Using Drug Expression Profiles and Machine Learning Approach for Drug RepurposingKai Zhao, Hon-Cheong SoJournal of Psychiatric Research|January 1, 2019
Implications of de novo mutations in guiding drug discovery: A study of four neuropsychiatric disordersHon-Cheong So, Yui-Hang WongBrain, Behavior, and Immunity|February 14, 2024
Bidirectional two-sample Mendelian randomization study of differential white blood cell counts and schizophreniaPerry B M Leung, Zipeng Liu, Yuanxin Zhong, et al.Diabetes Care|May 21, 2020
Exploring Diseases/Traits and Blood Proteins Causally Related to Expression of ACE2, the Putative Receptor of SARS-CoV-2: A Mendelian Randomization Analysis Highlights Tentative Relevance of Diabetes-Related TraitsShitao Rao, Alexandria Lau, Hon-Cheong SoPharmaceutics|February 26, 2022
Prediction of Drug Targets for Specific Diseases Leveraging Gene Perturbation Data: A Machine Learning ApproachKai Zhao, Yujia Shi, Hon-Cheong SoPageof 28