RT Journal Article
SR Electronic
T1 Genetic control of variability in subcortical and intracranial volumes
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 443549
DO 10.1101/443549
A1 Aldo Córdova-Palomera
A1 Dennis van der Meer
A1 Tobias Kaufmann
A1 Francesco Bettella
A1 Yunpeng Wang
A1 Dag Alnæs
A1 Nhat Trung Doan
A1 Ingrid Agartz
A1 Alessandro Bertolino
A1 Jan K. Buitelaar
A1 David Coynel
A1 Srdjan Djurovic
A1 Erlend S. Dørum
A1 Thomas Espeseth
A1 Leonardo Fazio
A1 Barbara Franke
A1 Oleksandr Frei
A1 Asta Håberg
A1 Stephanie Le Hellard
A1 Erik G. Jönsson
A1 Knut K. Kolskår
A1 Martina J. Lund
A1 Torgeir Moberget
A1 Jan E. Nordvik
A1 Lars Nyberg
A1 Andreas Papassotiropoulos
A1 Giulio Pergola
A1 Dominique de Quervain
A1 Antonio Rampino
A1 Genevieve Richard
A1 Jaroslav Rokicki
A1 Anne-Marthe Sanders
A1 Emanuel Schwarz
A1 Olav B. Smeland
A1 Vidar M. Steen
A1 Jostein Starrfelt
A1 Ida E. Sønderby
A1 Kristine M. Ulrichsen
A1 Ole A. Andreassen
A1 Lars T. Westlye
YR 2019
UL http://biorxiv.org/content/early/2019/04/19/443549.abstract
AB 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 nine key brain features (accumbens, amygdala, caudate, hippocampus, pallidum, putamen, thalamus, intracranial volume and cortical thickness), integrating genetic and neuroanatomical data from a large lifespan sample (n=25,575 individuals; 8 to 89 years, mean age 51.9 years). We identify genetic loci associated with phenotypic variability in cortical thickness, thalamus, pallidum, and intracranial volumes. The variance-controlling loci included 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.