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

Kevin M. Anderson, Meghan A. Collins, Rowena Chin, Tian Ge, Monica D. Rosenberg and Avram J. Holmes ()
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Kevin M. Anderson: Yale University
Meghan A. Collins: Yale University
Rowena Chin: Yale University
Tian Ge: Massachusetts General Hospital
Monica D. Rosenberg: Yale University
Avram J. Holmes: Yale University

Nature Communications, 2020, vol. 11, issue 1, 1-15

Abstract: 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.

Date: 2020
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DOI: 10.1038/s41467-020-16710-x

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