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Email

zachary.gerring@unimelb.edu.au

Credentials


Position
Honorary (Fellow)
Department of Medical Biology (WEHI)
ORCID

0000-0002-2445-1266

Dr Zachary Gerring

Honorary (Fellow)
Department of Medical Biology (WEHI)

66 Scholarly works
0 Projects

HIGHLIGHTS

  • 2026

    Journal article

    F73. SYMPTOM-SPECIFIC GENOME-WIDE META-ANALYSIS REVEALS PERVASIVE GENETIC HETEROGENEITY IN DEPRESSION
    DOI: 10.1016/j.euroneuro.2026.113468
  • 2026

    Journal article

    T27. GENETIC INSIGHTS INTO THE SHARED AND DISTINCT BIOLOGY OF BIPOLAR DISORDER, MAJOR DEPRESSIVE DISORDER, AND SCHIZOPHRENIA
    DOI: 10.1016/j.euroneuro.2026.113284
  • 2026

    Journal article

    Genetic architecture of MRI-derived cervical spinal cord morphology reveals sensory-motor axis and systemic disease associations.
    DOI: 10.1038/s41467-026-77419-x
  • 2026

    Journal article

    Dissecting pleiotropy between major depressive disorder and physical disease comorbidities
    DOI: 10.1038/s41588-026-02735-3
  • 2026

    Journal article

    Are There Causal Associations Between Obsessive-Compulsive Disorder and Cardiometabolic Phenotypes? A Genetic Correlation and Bi-Directional Mendelian Randomization Study
    DOI: 10.1002/ajmgb.70003
  • 2025

    Journal article

    38. DISSECTING PLEIOTROPY IN MAJOR DEPRESSIVE DISORDER THROUGH INVESTIGATING PHYSICAL DISEASE COMORBIDITIES
    DOI: 10.1016/j.euroneuro.2025.08.143
  • 2025

    Journal article

    28. THE INTERNATIONAL CANNABIS CONSORTIUM: NEW FINDINGS FROM THE LARGEST GWASS ON EVER USE AND FREQUENCY OF USE
    DOI: 10.1016/j.euroneuro.2025.08.133
Zachary Gerring

RECENT SCHOLARLY WORKS

  • 2025

    Journal article

    O10 Acne polygenic risk score derived from genome-wide association metaregression enables prediction of severity
    DOI: 10.1093/bjd/ljaf085.025
  • 2025

    Journal article

    Genome-wide analyses identify 30 loci associated with obsessive–compulsive disorder
    DOI: 10.1038/s41588-025-02189-z
  • 2025

    Journal article

    Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies
    DOI: 10.1016/j.cell.2024.12.002

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