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Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk

Author

Listed:
  • Kevin M. Anderson

    (Yale University)

  • Meghan A. Collins

    (Yale University)

  • Rowena Chin

    (Yale University)

  • Tian Ge

    (Massachusetts General Hospital
    Harvard Medical School)

  • Monica D. Rosenberg

    (Yale University
    University of Chicago)

  • Avram J. Holmes

    (Yale University
    Harvard Medical School
    Yale University)

Abstract

Inhibitory interneurons orchestrate information flow across the cortex and are implicated in psychiatric illness. Although interneuron classes have unique functional properties and spatial distributions, the influence of interneuron subtypes on brain function, cortical specialization, and illness risk remains elusive. Here, we demonstrate stereotyped negative correlation of somatostatin and parvalbumin transcripts within human and non-human primates. Cortical distributions of somatostatin and parvalbumin cell gene markers are strongly coupled to regional differences in functional MRI variability. In the general population (n = 9,713), parvalbumin-linked genes account for an enriched proportion of heritable variance in in-vivo functional MRI signal amplitude. Single-marker and polygenic cell deconvolution establish that this relationship is spatially dependent, following the topography of parvalbumin expression in post-mortem brain tissue. Finally, schizophrenia genetic risk is enriched among interneuron-linked genes and predicts cortical signal amplitude in parvalbumin-biased regions. These data indicate that the molecular-genetic basis of brain function is shaped by interneuron-related transcripts and may capture individual differences in schizophrenia risk.

Suggested Citation

  • Kevin M. Anderson & Meghan A. Collins & Rowena Chin & Tian Ge & Monica D. Rosenberg & Avram J. Holmes, 2020. "Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk," Nature Communications, Nature, vol. 11(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-16710-x
    DOI: 10.1038/s41467-020-16710-x
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    Cited by:

    1. Loïc Labache & Tian Ge & B. T. Thomas Yeo & Avram J. Holmes, 2023. "Language network lateralization is reflected throughout the macroscale functional organization of cortex," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    2. Xiaolu Kong & Ru Kong & Csaba Orban & Peng Wang & Shaoshi Zhang & Kevin Anderson & Avram Holmes & John D. Murray & Gustavo Deco & Martijn Heuvel & B. T. Thomas Yeo, 2021. "Sensory-motor cortices shape functional connectivity dynamics in the human brain," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    3. Shile Qi & Jing Sui & Godfrey Pearlson & Juan Bustillo & Nora I. Perrone-Bizzozero & Peter Kochunov & Jessica A. Turner & Zening Fu & Wei Shao & Rongtao Jiang & Xiao Yang & Jingyu Liu & Yuhui Du & Jia, 2022. "Derivation and utility of schizophrenia polygenic risk associated multimodal MRI frontotemporal network," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    4. Stefano Berto & Alex H. Treacher & Emre Caglayan & Danni Luo & Jillian R. Haney & Michael J. Gandal & Daniel H. Geschwind & Albert A. Montillo & Genevieve Konopka, 2022. "Association between resting-state functional brain connectivity and gene expression is altered in autism spectrum disorder," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    5. Ang Li & Haiyang Liu & Xu Lei & Yini He & Qian Wu & Yan Yan & Xin Zhou & Xiaohan Tian & Yingjie Peng & Shangzheng Huang & Kaixin Li & Meng Wang & Yuqing Sun & Hao Yan & Cheng Zhang & Sheng He & Ruquan, 2023. "Hierarchical fluctuation shapes a dynamic flow linked to states of consciousness," Nature Communications, Nature, vol. 14(1), pages 1-20, December.

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