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Genetic architecture of subcortical brain regions: common and region‐specific genetic contributions

Overview of attention for article published in Genes, Brain & Behavior, October 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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9 X users
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1 patent
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1 Facebook page

Citations

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Title
Genetic architecture of subcortical brain regions: common and region‐specific genetic contributions
Published in
Genes, Brain & Behavior, October 2014
DOI 10.1111/gbb.12177
Pubmed ID
Authors

M. E. Rentería, N. K. Hansell, L. T. Strike, K. L. McMahon, G. I. de Zubicaray, I. B. Hickie, P. M. Thompson, N. G. Martin, S. E. Medland, M. J. Wright

Abstract

Understanding the aetiology of patterns of variation within and covariation across brain regions is key to advancing our understanding of the functional, anatomical and developmental networks of the brain. Here we applied multivariate twin modelling and principal component analysis (PCA) to investigate the genetic architecture of the size of seven subcortical regions (caudate nucleus, thalamus, putamen, pallidum, hippocampus, amygdala and nucleus accumbens) in a genetically informative sample of adolescents and young adults (N = 1038; mean age = 21.6 ± 3.2 years; including 148 monozygotic and 202 dizygotic twin pairs) from the Queensland Twin IMaging (QTIM) study. Our multivariate twin modelling identified a common genetic factor that accounts for all the heritability of intracranial volume (0.88) and a substantial proportion of the heritability of all subcortical structures, particularly those of the thalamus (0.71 out of 0.88), pallidum (0.52 out of 0.75) and putamen (0.43 out of 0.89). In addition, we also found substantial region-specific genetic contributions to the heritability of the hippocampus (0.39 out of 0.79), caudate nucleus (0.46 out of 0.78), amygdala (0.25 out of 0.45) and nucleus accumbens (0.28 out of 0.52). This provides further insight into the extent and organization of subcortical genetic architecture, which includes developmental and general growth pathways, as well as the functional specialization and maturation trajectories that influence each subcortical region.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hong Kong 1 2%
Australia 1 2%
Unknown 45 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 23%
Researcher 10 21%
Professor 4 9%
Student > Postgraduate 4 9%
Student > Master 4 9%
Other 8 17%
Unknown 6 13%
Readers by discipline Count As %
Neuroscience 10 21%
Psychology 9 19%
Agricultural and Biological Sciences 6 13%
Biochemistry, Genetics and Molecular Biology 5 11%
Medicine and Dentistry 4 9%
Other 2 4%
Unknown 11 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 January 2023.
All research outputs
#3,689,213
of 25,374,917 outputs
Outputs from Genes, Brain & Behavior
#187
of 1,153 outputs
Outputs of similar age
#40,730
of 267,605 outputs
Outputs of similar age from Genes, Brain & Behavior
#2
of 24 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 267,605 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.