Author

Perry B.M. Leung

King's College LondonORCID 0000-0002-5292-5641Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:GWAS / association mapping· 2 Research Focus:differential expression· 1 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Hon‐Cheong SoiD· 3 shared Pak Chung ShamiD· 3 shared Simon S. Y. LuiiD· 3 shared Karen K. Y. Ho· 2 shared Karen S. Y. Hung· 2 shared Kenneth Chi-Yin WongiD· 2 shared Shitao RaoiD· 2 shared Benedict Ka-Wa Lee· 1 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Hon‐Cheong SoORCID

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3 papers

Recent·Most cited

Unraveling Genetic Variants underlying Schizophrenia Phenotypes: An Original GWAS in Hong Kong Chinese with Cross-Ethnic Meta-Analysis and Predictive Modeling

ST Rao, Kenneth C.Y. Wong, Shuai Zhi, Zoe ZY Zheng, Perry BM Leung, Benedict KW Lee, E. M. T. CHEUNG, Raymond C. K. Chan, Karen K. Y. Ho, Karen S. Y. Hung, T H Hui, Tao Li, Pak Chung Sham, Simon S. Y. Lui, Hon‐Cheong So

This study conducts a GWAS and cross-ethnic meta-analysis of schizophrenia phenotypes in Hong Kong Chinese and European populations, identifying genetic variants and building predictive models for clinical outcomes.

medRxiv · Dec 31, 2025 · PreprintGenetic & Genomic Medicine

Pharmacogenetic Study of Antipsychotic-Induced Lipid and BMI Changes in Chinese Schizophrenia Patients: A Genome-Wide Association Study

Kenneth Chi-Yin Wong, Perry B.M. Leung, Benedict Ka-Wa Lee, Zoe Zi-Yu Zheng, Emily Man-Wah Tsang, Meng-Hui Liu, Kelly Wing-Kwan Lee, Shitao Rao, Pak Chung Sham, Simon S. Y. Lui, Hon‐Cheong So

This study identifies genetic variants associated with antipsychotic-induced lipid and BMI changes in schizophrenia patients using GWAS, offering potential for personalized treatment strategies.

Translational Psychiatry · Aug 19, 2025Peer-reviewedGenetic & Genomic Medicine

Pathway-Specific Polygenic Scores Improve Cross-Ancestry Prediction of Psychosis and Clinical Outcomes

Justin D. Tubbs, Perry B.M. Leung, Yuanxin Zhong, Na Zhan, Tomy C.K. Hui, Karen K. Y. Ho, Karen S. Y. Hung, Eric F.C. Cheung, Hon‐Cheong So, Simon S. Y. Lui, Pak Chung Sham

This study shows pathway-specific polygenic scores improve cross-ancestry prediction of psychosis risk and clinical outcomes compared to genome-wide polygenic scores.

medRxiv · Sep 1, 2023 · PreprintGenetic & Genomic Medicine