Heritability of the shape of subcortical brain structures in the general population

Journal Article (2016)
Author(s)

Gennady V. Roshchupkin (Erasmus MC)

Boris A. Gutman (University of Southern California)

Meike W. Vernooij (Erasmus MC)

Neda Jahanshad (University of Southern California)

Nicholas G. Martin (Queensland Institute of Medical Research)

Albert Hofman (Harvard T.H. Chan School of Public Health, Erasmus MC)

Katie L. McMahon (University of Queensland)

Sven J. Van Der Lee (Erasmus MC)

Cornelia M. van Duijn (Universiteit Leiden, Erasmus MC)

Greig I. De Zubicaray (Queensland University of Technology)

André G. Uitterlinden (Erasmus MC)

Margaret J. Wright (University of Queensland)

Wiro J. Niessen (TU Delft - ImPhys/Quantitative Imaging, Erasmus MC)

Paul M. Thompson (University of Southern California)

M. Arfan Ikram (Erasmus MC)

Hieab H. Adams (Erasmus MC)

Research Group
ImPhys/Quantitative Imaging
DOI related publication
https://doi.org/10.1038/ncomms13738
More Info
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Publication Year
2016
Language
English
Research Group
ImPhys/Quantitative Imaging
Journal title
Nature Communications
Volume number
7
Article number
13738
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Abstract

The volumes of subcortical brain structures are highly heritable, but genetic underpinnings of their shape remain relatively obscure. Here we determine the relative contribution of genetic factors to individual variation in the shape of seven bilateral subcortical structures: the nucleus accumbens, amygdala, caudate, hippocampus, pallidum, putamen and thalamus. In 3,686 unrelated individuals aged between 45 and 98 years, brain magnetic resonance imaging and genotyping was performed. The maximal heritability of shape varies from 32.7 to 53.3% across the subcortical structures. Genetic contributions to shape extend beyond influences on intracranial volume and the gross volume of the respective structure. The regional variance in heritability was related to the reliability of the measurements, but could not be accounted for by technical factors only. These findings could be replicated in an independent sample of 1,040 twins. Differences in genetic contributions within a single region reveal the value of refined brain maps to appreciate the genetic complexity of brain structures.

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