Dr Pang Yao
Contact information
Research groups
- Adiposity, mechanisms of action and long-term health risks
- Assessing the roles of inflammatory markers in cardiometabolic diseases
- Characterising the metabolomic profiles of IHD and associated traits
- Correlates and consequences of hip fracture in Chinese adults
- Identification of biomarkers and drug targets for diabetes using proteo-genomic approaches in diverse populations
Pang Yao
PhD
Senior Molecular Epidemiologist
Pang Yao is a Senior Molecular Epidemiologist and co-leader of the Diabetes Theme in the China Kadoorie Biobank (CKB). He completed his PhD in Biochemistry and Molecular Biology at the Chinese Academy of Sciences.
His research is centered on developing upstream high-throughput multi-omics discovery pipelines—such as genomics, proteomics, metabolomics, serolomics, and phenomics—and downstream screening methodologies using bioinformatics and machine learning approaches. These efforts are applied to diverse populations, including those in the CKB and UK Biobank (UKB), with the goal of identifying novel pathways and potential therapeutic targets for adiposity and cardiometabolic diseases, such as type 2 diabetes, stroke, heart failure, and ischemic heart disease.
Recent publications
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Associations between circulating proteins and cardiometabolic diseases: a systematic review and meta-analysis of observational and Mendelian randomisation studies.
Journal article
Wu T. et al, (2024), Heart
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Prospective evaluation of the relevance of Epstein-Barr virus antibodies for early detection of nasopharyngeal carcinoma in Chinese adults.
Journal article
Yang L. et al, (2024), Int J Epidemiol, 53
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Proteomic Analyses in Diverse Populations Improved Risk Prediction and Identified New Drug Targets for Type 2 Diabetes.
Journal article
Yao P. et al, (2024), Diabetes Care, 47, 1012 - 1019
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Infectious pathogens and risk of esophageal, gastric and duodenal cancers and ulcers in China: A case-cohort study.
Journal article
Kartsonaki C. et al, (2024), Int J Cancer, 154, 1423 - 1432
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Conventional and genetic associations of adiposity with 1463 proteins in relatively lean Chinese adults.
Journal article
Yao P. et al, (2023), Eur J Epidemiol, 38, 1089 - 1103