Depression genetic risk score is associated with anhedonia-related markers across units of analysis

Guia Guffanti, Poornima Kumar, Roee Admon, Michael T. Treadway, Mei H. Hall, Malavika Mehta, Samuel Douglas, Amanda R. Arulpragasam, Diego A. Pizzagalli

Research output: Contribution to journalArticlepeer-review

Abstract

Investigations of pathophysiological mechanisms implicated in vulnerability to depression have been negatively impacted by the significant heterogeneity characteristic of psychiatric syndromes. Such challenges are also reflected in numerous null findings emerging from genome-wide association studies (GWAS) of depression. Bolstered by increasing sample sizes, recent GWAS studies have identified genetics variants linked to MDD. Among them, Okbay and colleagues (Nat. Genet. 2016 Jun;48(6):624–33) identified genetic variants associated with three well-validated depression-related phenotypes: subjective well-being, depressive symptoms, and neuroticism. Despite this progress, little is known about psychopathological and neurobiological mechanisms underlying such risk. To fill this gap, a genetic risk score (GRS) was computed from the Okbay’s study for a sample of 88 psychiatrically healthy females. Across two sessions, participants underwent two well-validated psychosocial stressors, and performed two separate tasks probing reward learning both before and after stress. Analyses tested whether GRS scores predicted anhedonia-related phenotypes across three units of analyses: self-report (Snaith Hamilton Pleasure Scale), behavior (stress-induced changes in reward learning), and circuits (stress-induced changes in striatal reward prediction error; striatal volume). GRS scores were negatively associated with anhedonia-related phenotypes across all units of analyses but only circuit-level variables were significant. In addition, the amount of explained variance was systematically larger as variables were putatively closer to the effects of genes (self-report < behavior < neural circuitry). Collectively, findings implicate anhedonia-related phenotypes and neurobiological mechanisms in increased depression vulnerability, and highlight the value of focusing on fundamental dimensions of functioning across different units of analyses.

Original languageEnglish
Article number236
JournalTranslational Psychiatry
Volume9
Issue number1
DOIs
StatePublished - 1 Dec 2019

Bibliographical note

Funding Information:
This project was supported by R01 MH101521 and R37 MH068376 from the National Institute of Mental Health (Dr. Pizzagalli). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The funding organization had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the paper; and decision to submit the paper for publication. Drs. Guffanti and Pizzagalli conducted and are responsible for the data analysis. Dr. Guffanti and Pizzagalli had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Publisher Copyright:
© 2019, The Author(s).

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Cellular and Molecular Neuroscience
  • Biological Psychiatry

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