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Hang Zhou, PhD

Assistant Professor of Psychiatry, and of Biomedical Informatics and Data Science
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Assistant Professor of Psychiatry, and of Biomedical Informatics and Data Science

Biography

Hang Zhou, PhD, is Assistant Professor of Psychiatry and of Biomedical Informatics and Data Science, Yale School of Medicine. Dr. Zhou has a broad background in computational biology and psychiatric genetics with rich experience in genomic data analyses and inferences. The main research interest is to identify novel genetic risks and explore the biological etiology for alcohol use disorder, substance use disorders and the relationship with comorbidities, using large-scale human genetic data (SNP array, whole-exome sequencing and whole genome sequencing).

(Currently, we are looking for postdocs and students to join the lab!)

Last Updated on September 26, 2025.

Appointments

Other Departments & Organizations

Education & Training

Associate Research Scientist
Yale School of Medicine (2021)
Postdoctoral Associate
Yale School of Medicine (2018)
PhD
CAS-MPG Partner Institute for Computational Biology, Chinese Academy of Sciences, Computational Biology (2015)
BSc
Shanghai Jiao Tong University, Bioinformatics (2009)

Research

Overview

The central goal of my graduate and postdoctoral work is to understand the human genome and how it affects human traits and diseases. To reach this goal, I completed training in computational biology and population genetics during PhD and psychiatric genetics as a postdoc. I performed a series of genetic studies on natural selection in the human genome and genome-wide studies on substance use disorders (SUDs) and comorbid psychiatric diseases.

Over the past years, I led the analytic effort for several projects in the Million Veteran Program (MVP) using large-scale genomic data and electronic health records. We conducted the largest multi-ancestry genome-wide association study (GWAS) on alcohol consumption and AUD (Kranzler*, Zhou*, Kember* et al., Nature Communications, 2019). This study delivered a key message that changed this field: AUD differs from alcohol consumption genetically. Subsequently, we made significant contributions to this field (Zhou et al., Nature Neuroscience, 2020; Zhou et al., Neuropsychopharmacology, 2022; Zhou et al., Nature Medicine, 2023; Zhou et al., Journal of Clinical Investigation, 2024). We also conducted a large genetic study of opioid use disorder (OUD) and identified the functional coding variant Asn40Asp in OPRM1 associated with OUD (Zhou et al., JAMA Psychiatry, 2020). Collectively, these studies represent important advances in the field.

There is limited knowledge in the literature regarding the role of rare coding variants in SUDs. My lab developed analytical pipelines to process more than 4,500 in-house whole-exome sequencing (WES) samples—from raw sequencing reads to variant calling, quality control, annotation, and functional prediction. We then conducted single-variant and gene-based collapsing analyses, integrating these data with the UK Biobank WES data. Our work represents the first comprehensive WES studies of SUDs, leveraging cross-ancestry datasets to identify novel rare variants and genes (Wang et al., Biological Psychiatry, 2025; Wang et al., Translational Psychiatry, 2025).

Currently, my lab is working on whole-genome sequencing (WGS) projects integrating multi-ancestry biobank-level resources, including the MVP, UK Biobank, and All of Us Program. We aim to find novel rare, common, and structural variants associated with AUD and recover the missing heritability, improve causal variant identification and disease prediction using a novel whole-genome polygenic risk score framework, and identify cell subtypes and key cellular processes in the human brain.

Medical Research Interests

Computational Biology; Data Science; Exome Sequencing; Genetic Risk Score; Genome-Wide Association Study; Human Genetics; Medical Informatics; Substance-Related Disorders; Whole Genome Sequencing

Public Health Interests

Bioinformatics; Genetics, Genomics, Epigenetics; Mental Health; Substance Use, Addiction

Research at a Glance

Publications Timeline

A big-picture view of Hang Zhou's research output by year.
70Publications
3,836Citations

Publications

Featured Publications

2025

Academic Achievements & Community Involvement

Honors

  • honor

    R01

  • honor

    R21

  • honor

    Annual Pilot Award

  • honor

    AWS Cloud Credit for Research program

  • honor

    Annual Pilot Award

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