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Michael J. Gandal

Michael J. Gandal

University of Pennsylvania · Rehabilitation Medicine

Active 1997–2026

h-index60
Citations30.2k
Papers262160 last 5y
Funding$6.5M1 active

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Michael J. Gandal, MD, Ph.D., is the William & Noreen Hetznecker Associate Professor in Psychiatry at the University of Pennsylvania's Perelman School of Medicine. He is a Faculty Investigator at the Lifespan Brain Institute (LIBI) at Penn Med and the Children’s Hospital Philadelphia (CHOP). His research integrates computational biology and functional genomics to understand the genetic mechanisms contributing to neurodevelopmental and psychiatric disorders, with a focus on identifying novel therapeutic targets. Dr. Gandal's expertise encompasses psychiatric genetics, functional genomics, transcriptomics, and human brain development. His work involves leveraging genome-wide association studies (GWAS), whole genome sequencing, and gene network biology to study conditions such as Autism Spectrum Disorder (ASD), ADHD, bipolar disorder, and schizophrenia. He is actively involved in investigating the genetic landscape across multiple psychiatric disorders and translating these findings into biological understanding, contributing significantly to the field of neurogenomics.

Research topics

  • Biology
  • Genetics
  • Neuroscience
  • Medicine
  • Psychology
  • Psychiatry
  • Clinical psychology
  • Computer Science
  • Computational biology
  • Immunology

Selected publications

  • Mapping genomic loci implicates genes and synaptic biology in schizophrenia

    Nature · 2022 · 2693 citations

    , much of which is attributable to common risk alleles. Here, in a two-stage genome-wide association study of up to 76,755 individuals with schizophrenia and 243,649 control individuals, we report common variant associations at 287 distinct genomic loci. Associations were concentrated in genes that are expressed in excitatory and inhibitory neurons of the central nervous system, but not in other tissues or cell types. Using fine-mapping and functional genomic data, we identify 120 genes (106 pro…

  • Single-cell multi-cohort dissection of the schizophrenia transcriptome

    Science · 2024 · 125 citations

    The complexity and heterogeneity of schizophrenia have hindered mechanistic elucidation and the development of more effective therapies. Here, we performed single-cell dissection of schizophrenia-associated transcriptomic changes in the human prefrontal cortex across 140 individuals in two independent cohorts. Excitatory neurons were the most affected cell group, with transcriptional changes converging on neurodevelopment and synapse-related molecular pathways. Transcriptional alterations includ…

  • A data-driven single-cell and spatial transcriptomic map of the human prefrontal cortex

    Science · 2024-05-23 · 64 citations

    articleOpen access

    The molecular organization of the human neocortex historically has been studied in the context of its histological layers. However, emerging spatial transcriptomic technologies have enabled unbiased identification of transcriptionally defined spatial domains that move beyond classic cytoarchitecture. We used the Visium spatial gene expression platform to generate a data-driven molecular neuroanatomical atlas across the anterior-posterior axis of the human dorsolateral prefrontal cortex. Integrat…

  • Massively parallel characterization of regulatory elements in the developing human cortex

    Science · 2024-05-23 · 61 citations

    articleOpen access

    Nucleotide changes in gene regulatory elements are important determinants of neuronal development and diseases. Using massively parallel reporter assays in primary human cells from mid-gestation cortex and cerebral organoids, we interrogated the cis-regulatory activity of 102,767 open chromatin regions, including thousands of sequences with cell type-specific accessibility and variants associated with brain gene regulation. In primary cells, we identified 46,802 active enhancer sequences and 164…

  • Identification of Novel, Replicable Genetic Risk Loci for Suicidal Thoughts and Behaviors Among US Military Veterans

    JAMA Psychiatry · 2022 · 55 citations

    Importance: Suicide is a leading cause of death; however, the molecular genetic basis of suicidal thoughts and behaviors (SITB) remains unknown. Objective: To identify novel, replicable genomic risk loci for SITB. Design, Setting, and Participants: This genome-wide association study included 633 778 US military veterans with and without SITB, as identified through electronic health records. GWAS was performed separately by ancestry, controlling for sex, age, and genetic substructure. Cross-ances…

Recent grants

Frequent coauthors

  • Daniel H. Geschwind

    Center for Autism and Related Disorders

    184 shared
  • Chunyu Liu

    Changchun Institute of Optics, Fine Mechanics and Physics

    130 shared
  • Daniel Vo

    Center for Autism and Related Disorders

    125 shared
  • Andrew E. Jaffe

    Johns Hopkins Medicine

    81 shared
  • Hyejung Won

    Lieber Institute for Brain Development

    77 shared
  • Thomas G. Schulze

    National Institute of Mental Health

    74 shared
  • Thomas M. Hyde

    Johns Hopkins University

    71 shared
  • Thomas Werge

    69 shared

Labs

  • Gandal LabPI

Education

  • Residency, Adult Psychiatry

    University of California, Los Angeles

    2017
  • MD

    University of Pennsylvania

    2013
  • PhD, Bioengineering

    University of Pennsylvania

    2011

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