Professor | Yan Sun | Asia Growth Partners

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Name	Yan Sun
Contact Information	sunyan@bjmu.edu.cn
Language ability	Chinese, English
Province	Beijing

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Name

Yan Sun

Contact Information

sunyan@bjmu.edu.cn

Language ability

Chinese, English

Province

Beijing

University/Lab Affiliation and Title	Peking University
Faculty	Basic Medical Sciences
Academic Background & Achievements	Visiting Scholar at King's College London Selected for the China Association for Science and Technology Youth Talent Lift Project
Work Experience	Director of the Youth Committee of the Professional Committee on Drug Dependence, Chinese Society of Toxicology Expert Member of the Dual Heart Rehabilitation Professional Committee, Beijing Chronic Disease Prevention and Health Education Society

University/Lab Affiliation and Title

Peking University

Faculty

Basic Medical Sciences

Academic Background & Achievements

Visiting Scholar at King's College London
Selected for the China Association for Science and Technology Youth Talent Lift Project

Work Experience

Director of the Youth Committee of the Professional Committee on Drug Dependence, Chinese Society of Toxicology
Expert Member of the Dual Heart Rehabilitation Professional Committee, Beijing Chronic Disease Prevention and Health Education Society

Areas of Focus	Addiction and related mental disorders: genetic and environmental interaction mechanisms and cohort studies Behavioral addiction (internet addiction, gaming addiction): pathogenesis and intervention methods Brain mechanisms of sleep and emotional disorders and closed-loop control interventions Integration of biomarkers related to adolescent mental health
Publications	Associations of DNA methylation with behavioral problems, grey matter volumes and negative life events across adolescence: Evidence from the longitudinal IMAGEN study, Sun Y, et al., 2022 Common and distinguishing genetic factors for substance use behavior and disorder: an integrated analysis of genomic and transcriptomic studies from both human and animal studies, Sun Y, et al., 2022 Genome-wide association meta-analyses identify novel genetic risk loci and polygenic phenotype associations for heroin, methamphetamine, and alcohol dependences, Sun Y, et al., 2022 Global Prevalence of Digital Addiction in General Population: A Systematic Review and Meta-Analysis, Sun Y, et al., 2022 Identification of novel risk loci with shared effects on alcoholism, heroin and methamphetamine dependence, Sun Y, et al., 2021 Internet Addiction Increases in the General Population During COVID‐19: Evidence From China, Sun Y, et al., 2021 Increased addictive Internet and substance use behaviour during the COVID19 pandemic in China, Sun Y, et al., 2020 Genome-wide association study of alcohol dependence in male Han Chinese and cross-ethnic polygenic risk score comparison, Sun Y, et al., 2019 Risk factors and an early prediction model for persistent methamphetamine-related psychiatric symptoms, Sun Y, et al., 2019 GABRA2 rs279858-linked variants are associated with disrupted structural connectome of reward circuits in heroin abusers, Sun Y, et al., 2018 A review of risk factors for methamphetamine-related psychiatric symptoms, Sun Y, et al., 2018

Areas of Focus

Addiction and related mental disorders: genetic and environmental interaction mechanisms and cohort studies
Behavioral addiction (internet addiction, gaming addiction): pathogenesis and intervention methods
Brain mechanisms of sleep and emotional disorders and closed-loop control interventions
Integration of biomarkers related to adolescent mental health

Publications

Associations of DNA methylation with behavioral problems, grey matter volumes and negative life events across adolescence: Evidence from the longitudinal IMAGEN study, Sun Y, et al., 2022
Common and distinguishing genetic factors for substance use behavior and disorder: an integrated analysis of genomic and transcriptomic studies from both human and animal studies, Sun Y, et al., 2022
Genome-wide association meta-analyses identify novel genetic risk loci and polygenic phenotype associations for heroin, methamphetamine, and alcohol dependences, Sun Y, et al., 2022
Global Prevalence of Digital Addiction in General Population: A Systematic Review and Meta-Analysis, Sun Y, et al., 2022
Identification of novel risk loci with shared effects on alcoholism, heroin and methamphetamine dependence, Sun Y, et al., 2021
Internet Addiction Increases in the General Population During COVID‐19: Evidence From China, Sun Y, et al., 2021
Increased addictive Internet and substance use behaviour during the COVID19 pandemic in China, Sun Y, et al., 2020
Genome-wide association study of alcohol dependence in male Han Chinese and cross-ethnic polygenic risk score comparison, Sun Y, et al., 2019
Risk factors and an early prediction model for persistent methamphetamine-related psychiatric symptoms, Sun Y, et al., 2019
GABRA2 rs279858-linked variants are associated with disrupted structural connectome of reward circuits in heroin abusers, Sun Y, et al., 2018
A review of risk factors for methamphetamine-related psychiatric symptoms, Sun Y, et al., 2018

Addiction Mental Disorders Genetics Environmental Interactions Cohort Studies Behavioral Addiction Internet Addiction Gaming Addiction Brain Mechanisms Biomarkers

Jun Zhou - Zhejiang University

Liu Yun - Fudan University

Chen Zhenwen - Capital Medical University

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