Literature DB >> 22140022

Heritability of volumetric brain changes and height in children entering puberty.

Inge L C van Soelen1, Rachel M Brouwer, G Caroline M van Baal, Hugo G Schnack, Jiska S Peper, Lei Chen, René S Kahn, Dorret I Boomsma, Hilleke E Hulshoff Pol.   

Abstract

The human brain undergoes structural changes in children entering puberty, while simultaneously children increase in height. It is not known if brain changes are under genetic control, and whether they are related to genetic factors influencing the amount of overall increase in height. Twins underwent magnetic resonance imaging brain scans at age 9 (N = 190) and 12 (N = 125). High heritability estimates were found at both ages for height and brain volumes (49-96%), and high genetic correlation between ages were observed (r(g) > 0.89). With increasing age, whole brain (+1.1%), cerebellum (+4.2%), cerebral white matter (+5.1%), and lateral ventricle (+9.4%) volumes increased, and third ventricle (-4.0%) and cerebral gray matter (-1.6%) volumes decreased. Children increased on average 13.8 cm in height (9.9%). Genetic influences on individual difference in volumetric brain and height changes were estimated, both within and across traits. The same genetic factors influenced both cerebral (20% heritable) and cerebellar volumetric changes (45%). Thus, the extent to which changes in cerebral and cerebellar volumes are heritable in children entering puberty are due to the same genes that influence change in both structures. The increase in height was heritable (73%), and not associated with cerebral volumetric change, but positively associated with cerebellar volume change (r(p) = 0.24). This association was explained by a genetic correlation (r(g) = 0.48) between height and cerebellar change. Brain and body each expand at their own pace and through separate genetic pathways. There are distinct genetic processes acting on structural brain development, which cannot be explained by genetic increase in height.
Copyright © 2011 Wiley Periodicals, Inc.

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Year:  2011        PMID: 22140022      PMCID: PMC6870442          DOI: 10.1002/hbm.21468

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  56 in total

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3.  Temporal and spatial dynamics of brain structure changes during extensive learning.

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4.  A pediatric twin study of brain morphometry.

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Journal:  J Child Psychol Psychiatry       Date:  2006-10       Impact factor: 8.982

5.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data.

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6.  Variations in pattern of pubertal changes in girls.

Authors:  W A Marshall; J M Tanner
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7.  Dynamic mapping of human cortical development during childhood through early adulthood.

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Authors:  Karri Silventoinen; Meike Bartels; Daniëlle Posthuma; G Frederiek Estourgie-van Burk; Gonneke Willemsen; Toos C E M van Beijsterveldt; Dorret I Boomsma
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  17 in total

1.  Development of the brain's structural network efficiency in early adolescence: A longitudinal DTI twin study.

Authors:  Marinka M G Koenis; Rachel M Brouwer; Martijn P van den Heuvel; René C W Mandl; Inge L C van Soelen; René S Kahn; Dorret I Boomsma; Hilleke E Hulshoff Pol
Journal:  Hum Brain Mapp       Date:  2015-09-14       Impact factor: 5.038

2.  Genetic associations between intelligence and cortical thickness emerge at the start of puberty.

Authors:  Rachel M Brouwer; Inge L C van Soelen; Suzanne C Swagerman; Hugo G Schnack; Erik A Ehli; René S Kahn; Hilleke E Hulshoff Pol; Dorret I Boomsma
Journal:  Hum Brain Mapp       Date:  2013-12-31       Impact factor: 5.038

3.  Genetic effects on the cerebellar role in working memory: same brain, different genes?

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Journal:  Neuroimage       Date:  2013-10-12       Impact factor: 6.556

4.  Genetics and brain morphology.

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5.  Association between structural brain network efficiency and intelligence increases during adolescence.

Authors:  Marinka M G Koenis; Rachel M Brouwer; Suzanne C Swagerman; Inge L C van Soelen; Dorret I Boomsma; Hilleke E Hulshoff Pol
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Review 6.  Genetic influences on brain developmental trajectories on neuroimaging studies: from infancy to young adulthood.

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7.  Genetic influences on individual differences in longitudinal changes in global and subcortical brain volumes: Results of the ENIGMA plasticity working group.

Authors:  Rachel M Brouwer; Matthew S Panizzon; David C Glahn; Derrek P Hibar; Xue Hua; Neda Jahanshad; Lucija Abramovic; Greig I de Zubicaray; Carol E Franz; Narelle K Hansell; Ian B Hickie; Marinka M G Koenis; Nicholas G Martin; Karen A Mather; Katie L McMahon; Hugo G Schnack; Lachlan T Strike; Suzanne C Swagerman; Anbupalam Thalamuthu; Wei Wen; John H Gilmore; Nitin Gogtay; René S Kahn; Perminder S Sachdev; Margaret J Wright; Dorret I Boomsma; William S Kremen; Paul M Thompson; Hilleke E Hulshoff Pol
Journal:  Hum Brain Mapp       Date:  2017-06-05       Impact factor: 5.038

8.  Genetic and environmental influences on neuroimaging phenotypes: a meta-analytical perspective on twin imaging studies.

Authors:  Gabriëlla A M Blokland; Greig I de Zubicaray; Katie L McMahon; Margaret J Wright
Journal:  Twin Res Hum Genet       Date:  2012-06       Impact factor: 1.587

9.  White matter development in early puberty: a longitudinal volumetric and diffusion tensor imaging twin study.

Authors:  Rachel M Brouwer; René C W Mandl; Hugo G Schnack; Inge L C van Soelen; G Caroline van Baal; Jiska S Peper; René S Kahn; Dorret I Boomsma; H E Hulshoff Pol
Journal:  PLoS One       Date:  2012-04-13       Impact factor: 3.240

10.  The Speed of Development of Adolescent Brain Age Depends on Sex and Is Genetically Determined.

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Journal:  Cereb Cortex       Date:  2021-01-05       Impact factor: 5.357

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