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Principal Investigator  
Principal Investigator's Name: Katie Chan
Institution: City University of Hong Kong
Department: Biomedical Sciences / Electrical Engineering
Country:
Proposed Analysis: 1) identify shared and ethnic-specific biological pathways and gene networks between complex traits e.g. diabetes and Alzheimer's diseases 2) evaluate the modification of medication use on biomarker-related genetic variants with risk of complex traits 3) assess the causal association between biomarkers and risk of complex traits using mendelian randomization approach 4) identify shared and ethnic-specific biological pathways and gene networks that are perturbed by genetic risks of complex traits between ethnic groups 5) identify shared and ethnic-specific gene network x environmental risk factors interactions that contribute to risk of complex traits between ethnic groups 6) identify shared and ethnic-specific biological pathways and gene networks that are perturbed by genetic effect of medication use between ethnic groups. 7) assess the association between potential biomarkers targeted by medication use and risk of complex traits using Mendelian Randomization with medication related genetic loci as instruments 8) build diseases risk prediction models 9) identify omics variants related to demographic, lifestyle, biomarkers, and environmental risk factors of complex traits 10) assess the association between early life factors with risk of complex traits 11) apply various methodologies e.g. mendelian randomization, mediation, polygenic score, etc. to investigate the molecular and physiologic mechanism of complex traits 12) incorporate various types of data e.g. genomics, demographic, lifestyle, biomarkers, questionnaire as well as imaging data to improve the understanding of complex traits
Additional Investigators