Genetic control of variability in subcortical and intracranial volumes

Aldo Cordova-Palomera*, Dennis van der Meer, Tobias Kaufmann, Francesco Bettella, Yunpeng Wang, Dag Alnaes, Nhat Trung Doan, Ingrid Agartz, Alessandro Bertolino, Jan K. Buitelaar, David Coynel, Srdjan Djurovic, Erlend S. Dorum, Thomas Espeseth, Leonardo Fazio, Barbara Franke, Oleksandr Frei, Asta Haberg, Stephanie Le Hellard, Erik G. JonssonKnut K. Kolskar, Martina J. Lund, Torgeir Moberget, Jan E. Nordvik, Lars Nyberg, Andreas Papassotiropoulos, Giulio Pergola, Dominique de Quervain, Antonio Rampino, Genevieve Richard, Jaroslav Rokicki, Anne-Marthe Sanders, Emanuel Schwarz, Olav B. Smeland, Vidar M. Steen, Jostein Starrfelt, Ida E. Sonderby, Kristine M. Ulrichsen, Ole A. Andreassen, Lars T. Westlye*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Web of Science)

Abstract

Sensitivity to external demands is essential for adaptation to dynamic environments, but comes at the cost of increased risk of adverse outcomes when facing poor environmental conditions. Here, we apply a novel methodology to perform genome-wide association analysis of mean and variance in ten key brain features (accumbens, amygdala, caudate, hippocampus, pallidum, putamen, thalamus, intracranial volume, cortical surface area, and cortical thickness), integrating genetic and neuroanatomical data from a large lifespan sample (n = 25,575 individuals; 8-89 years, mean age 51.9 years). We identify genetic loci associated with phenotypic variability in thalamus volume and cortical thickness. The variance-controlling loci involved genes with a documented role in brain and mental health and were not associated with the mean anatomical volumes. This proof-of-principle of the hypothesis of a genetic regulation of brain volume variability contributes to establishing the genetic basis of phenotypic variance (i.e., heritability), allows identifying different degrees of brain robustness across individuals, and opens new research avenues in the search for mechanisms controlling brain and mental health.

Original languageEnglish
Pages (from-to)3876-3883
Number of pages8
JournalMolecular Psychiatry
Volume26
Issue number8
Early online date11 Feb 2020
DOIs
Publication statusPublished - Aug 2021

Keywords

  • SCHIZOPHRENIA
  • ROBUSTNESS

Cite this