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Heritability of subcortical brain measures

Authors :
René S. Kahn
Dorret I. Boomsma
Rachel M. Brouwer
Hilleke E. Hulshoff Pol
Anouk den Braber
Dennis van 't Ent
Eco J. C. de Geus
Marc M. Bohlken
Ryota Kanai
Neurology
Amsterdam Neuroscience - Neurodegeneration
Epidemiology and Data Science
Biological Psychology
Neuroscience Campus Amsterdam - Neurobiology of Mental Health
Neuroscience Campus Amsterdam - Brain Imaging Technology
Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease
Source :
Den Braber, A, Bohlken, M M, Brouwer, R M, van 't Ent, D, Kanai, R, Kahn, R S, de Geus, E J C, Hulshoff Pol, H E & Boomsma, D I 2013, ' Heritability of subcortical brain measures : A perspective for future genome-wide association studies ', NeuroImage, vol. 83, pp. 98-102 . https://doi.org/10.1016/j.neuroimage.2013.06.027, den Braber, A, Bohlken, M M, Brouwer, R M, van t Ent, D, Kanai, R, Kahn, R S, de Geus, E J C, Hulshoff Pol, H E & Boomsma, D I 2013, ' Heritability of subcortical brain measures: A perspective for future genome-wide association studies ', NeuroImage, vol. 83, pp. 98-102 . https://doi.org/10.1016/j.neuroimage.2013.06.027, NeuroImage, 83, 98-102. Academic Press Inc.
Publication Year :
2013

Abstract

Several large imaging-genetics consortia aim to identify genetic variants influencing subcortical brain volumes. We investigated the extent to which genetic variation accounts for the variation in subcortical volumes, including thalamus, amygdala, putamen, caudate nucleus, globus pallidus and nucleus accumbens and obtained the stability of these brain volumes over a five-year period. The heritability estimates for all subcortical regions were high, with the highest heritability estimates observed for the thalamus (80) and caudate nucleus (88) and lowest for the left nucleus accumbens (44). Five-year stability was substantial and higher for larger [e.g., thalamus (88), putamen (86), caudate nucleus (87)] compared to smaller [nucleus accumbens (45)] subcortical structures. These results provide additional evidence that subcortical structures are promising starting points for identifying genetic variants that influence brain structure. © 2013 Elsevier Inc.

Details

Language :
English
ISSN :
10538119
Volume :
83
Database :
OpenAIRE
Journal :
NeuroImage
Accession number :
edsair.doi.dedup.....7e93c26e8552de267b10f385110caa00
Full Text :
https://doi.org/10.1016/j.neuroimage.2013.06.027