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About Me

Here is Honggang Lyu (Hugo, 吕洪港).

I am a Ph.D. Student (Year 2) majoring in Psychiatry and Mental Health at Renmin Hospital, Wuhan University, supervised by Dr. Zhongchun Liu.

Currently, I am a visiting student at the Department of Neurology and Neurosurgery, McGill University, co-supervised by Dr. Lan Xiong and Dr. Sirui Zhou.

My research focuses on identifying potential risk factors and biomarkers of common psychiatric disorders from a genetic perspective.

If you are interested in any aspect of me, I would love to chat and collaborate, please email me at - honggang.lyu[at]mail[dot]mcgill[dot]ca

Academic Background

  • Jan 2025 – Present: Visiting Student, McGill University
  • Sep 2023 – Present: Ph.D. Candidate, Psychiatry and Mental Health, Wuhan University
  • Sep 2020 – Jun 2023: M.S., Psychiatry and Mental Health, Jining Medical University
  • Sep 2015 – Jun 2020: M.B., Clinical Medicine, Binzhou Medical University

Research Interests

 The rapid emergence of high-quality genome-wide association studies (GWAS) for common psychiatric disorders provide insights into for understanding their biological underpinnings.
 However, mental illness manifests with remarkable clinical heterogeneity, with patients exhibiting diverse early clinical symptoms. For example, adolescent depression often presents with mood dysregulation, academic disengagement, and non-suicidal self-injurious behaviors, while geriatric depression frequently involves somatic complaints.
 Therefore, identifying potential risk factors and objective biomarkers specific to the early clinical profiles of common psychiatric disorders holds significant value for improving diagnosis and treatment of these debilitating conditions.

  • Conducting large-scale genome-wide association studies (GWAS) focused on early-stage psychiatric symptom dimensions in Asian populations. Leveraging population-scale biobanks (e.g., UK Biobank) to elucidate the genetic architecture underlying heterogeneous psychiatric phenotypes.

  • Integrating multi-omics data (e.g., transcriptomics, proteomics, single-cell and bulk RNA-seq) with statistical genetics approaches such as:Mendelian Randomization (MR), Transcriptome-/Proteome-Wide Association Studies (TWAS/PWAS),Genomic Structural Equation Modeling (Genomic SEM) - to identify potential risk factors and biomarkers associated with early-stage psychiatric symptom-level profiles.

  • Validating these findings through downstream experimental work and independent clinical cohorts, with a particular focus on the Chinese Han population.