Novel polygenic risk score as a translational tool linking depression-related changes in the corticolimbic transcriptome with neural face processing and anhedonic symptoms.

Journal Article (Journal Article)

Convergent data from imaging and postmortem brain transcriptome studies implicate corticolimbic circuit (CLC) dysregulation in the pathophysiology of depression. To more directly bridge these lines of work, we generated a novel transcriptome-based polygenic risk score (T-PRS), capturing subtle shifts toward depression-like gene expression patterns in key CLC regions, and mapped this T-PRS onto brain function and related depressive symptoms in a nonclinical sample of 478 young adults (225 men; age 19.79 +/- 1.24) from the Duke Neurogenetics Study. First, T-PRS was generated based on common functional SNPs shifting CLC gene expression toward a depression-like state. Next, we used multivariate partial least squares regression to map T-PRS onto whole-brain activity patterns during perceptual processing of social stimuli (i.e., human faces). For validation, we conducted a comparative analysis with a PRS summarizing depression risk variants identified by the Psychiatric Genomics Consortium (PGC-PRS). Sex was modeled as moderating factor. We showed that T-PRS was associated with widespread reductions in neural response to neutral faces in women and to emotional faces and shapes in men (multivariate p < 0.01). This female-specific reductions in neural response to neutral faces was also associated with PGC-PRS (multivariate p < 0.03). Reduced reactivity to neutral faces was further associated with increased self-reported anhedonia. We conclude that women with functional alleles mimicking the postmortem transcriptomic CLC signature of depression have blunted neural activity to social stimuli, which may be expressed as higher anhedonia.

Full Text

Duke Authors

Cited Authors

  • Mareckova, K; Hawco, C; Dos Santos, FC; Bakht, A; Calarco, N; Miles, AE; Voineskos, AN; Sibille, E; Hariri, AR; Nikolova, YS

Published Date

  • November 2020

Published In

Volume / Issue

  • 10 / 1

Start / End Page

  • 410 -

PubMed ID

  • 33235204

Pubmed Central ID

  • PMC7686479

Electronic International Standard Serial Number (EISSN)

  • 2158-3188

International Standard Serial Number (ISSN)

  • 2158-3188

Digital Object Identifier (DOI)

  • 10.1038/s41398-020-01093-w


  • eng