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Gray matter volumetric correlates of the polygenic risk of depression: A study of the Human Connectome Project data.

Authors :
Fu, Xiaoya
Chen, Yu
Luo, Xingguang
Ide, Jaime S.
Li, Chiang-Shan R.
Source :
European Neuropsychopharmacology. Oct2024, Vol. 87, p2-12. 11p.
Publication Year :
2024

Abstract

Genetic factors confer risks for depression. Understanding the neural endophenotypes, including brain morphometrics, of genetic predisposition to depression would help in unraveling the pathophysiology of depression. We employed voxel-based morphometry (VBM) to examine how gray matter volumes (GMVs) were correlated with the polygenic risk score (PRS) for depression in 993 young adults of the Human Connectome Project. The phenotype of depression was quantified with a DSM-oriented scale of the Achenbach Adult Self-Report. The PRS for depression was computed for each subject using the Psychiatric Genomics Association Study as the base sample. In multiple regression with age, sex, race, drinking severity, and total intracranial volume as covariates, regional GMVs in positive correlation with the PRS were observed in bilateral hippocampi and right gyrus rectus. Regional GMVs in negative correlation with the PRS were observed in a wide swath of brain regions, including bilateral frontal and temporal lobes, anterior cingulate cortex, thalamus, lingual gyri, cerebellum, and the left postcentral gyrus, cuneus, and parahippocampal gyrus. We also found sex difference in anterior cingulate volumes in manifesting the genetic risk of depression. In addition, the GMV of the right cerebellum crus I partially mediated the link from PRS to depression severity. These findings add to the literature by highlighting 1) a more diverse pattern of the volumetric markers of depression, with most regions showing lower but others higher GMVs in association with the genetic risks of depression, and 2) the cerebellar GMV as a genetically informed neural phenotype of depression, in neurotypical individuals. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0924977X
Volume :
87
Database :
Academic Search Index
Journal :
European Neuropsychopharmacology
Publication Type :
Academic Journal
Accession number :
179498231
Full Text :
https://doi.org/10.1016/j.euroneuro.2024.06.004