Literature DB >> 11532887

Quantitative genetic modeling of variation in human brain morphology.

W F Baaré1, H E Hulshoff Pol, D I Boomsma, D Posthuma, E J de Geus, H G Schnack, N E van Haren, C J van Oel, R S Kahn.   

Abstract

The degree to which individual variation in brain structure in humans is genetically or environmentally determined is as yet not well understood. We studied the brains of 54 monozygotic (33 male, 21 female) and 58 dizygotic (17 male, 20 female, 21 opposite sex) pairs of twins and 34 of their full siblings (19 male, 15 female) by means of high resolution magnetic resonance imaging scans. Structural equation modeling was used to quantify the genetic and environmental contributions to phenotypic (co)variance in whole brain, gray and white matter volume of the cerebrum, lateral ventricle volume and associated variables such as intracranial volume and height. Because the cerebral cortex makes up more that two-thirds of the brain mass and almost three-quarters of its synapses, our data predominantly concerns the telencephalon. Genetic factors accounted for most of the individual differences in whole brain (90%), gray (82%) and white (88%) matter volume. Individual differences in lateral ventricle volume were best explained by a model containing common (58%) and unique (42%) environmental factors, indicating genes to be of no or minor influence. In our sample, genetic or environmental influences were not different for males and females. The same genes influenced brain volumes and intracranial volume and almost completely explained their high phenotypic correlation. Genes influencing gray and white matter overlapped to a large extent and completely determined their phenotypic correlation. The high heritability estimates that were found indicate that brain volumes may be useful as intermediate phenotypes in behavioral genetic research.

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Year:  2001        PMID: 11532887     DOI: 10.1093/cercor/11.9.816

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  116 in total

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

Authors:  Inge L C van Soelen; 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
Journal:  Hum Brain Mapp       Date:  2011-12-03       Impact factor: 5.038

2.  Genetic influence on quantitative features of neocortical architecture.

Authors:  Matthias Kaschube; Fred Wolf; Theo Geisel; Siegrid Löwel
Journal:  J Neurosci       Date:  2002-08-15       Impact factor: 6.167

3.  Longitudinal development of cortical and subcortical gray matter from birth to 2 years.

Authors:  John H Gilmore; Feng Shi; Sandra L Woolson; Rebecca C Knickmeyer; Sarah J Short; Weili Lin; Hongtu Zhu; Robert M Hamer; Martin Styner; Dinggang Shen
Journal:  Cereb Cortex       Date:  2011-11-22       Impact factor: 5.357

4.  Brain structure in young and old East Asians and Westerners: comparisons of structural volume and cortical thickness.

Authors:  Michael Wei Liang Chee; Hui Zheng; Joshua Oon Soo Goh; Denise Park; Bradley P Sutton
Journal:  J Cogn Neurosci       Date:  2010-04-30       Impact factor: 3.225

5.  Intracranial volume and dementia: some evidence in support of the cerebral reserve hypothesis.

Authors:  D F Tate; E S Neeley; M C Norton; J T Tschanz; M J Miller; L Wolfson; C Hulette; C Leslie; K A Welsh-Bohmer; B Plassman; Erin D Bigler
Journal:  Brain Res       Date:  2010-12-21       Impact factor: 3.252

Review 6.  Genetic architecture of declarative memory: implications for complex illnesses.

Authors:  Carrie E Bearden; Katherine H Karlsgodt; Peter Bachman; Theo G M van Erp; Anderson M Winkler; David C Glahn
Journal:  Neuroscientist       Date:  2011-08-10       Impact factor: 7.519

7.  TwinMARM: two-stage multiscale adaptive regression methods for twin neuroimaging data.

Authors:  Yimei Li; John H Gilmore; Jiaping Wang; Martin Styner; Weili Lin; Hongtu Zhu
Journal:  IEEE Trans Med Imaging       Date:  2012-01-24       Impact factor: 10.048

8.  Does risk of brain cancer increase with intracranial volume? A population-based case control study.

Authors:  Even Hovig Fyllingen; Tor Ivar Hansen; Asgeir Store Jakola; Asta Kristine Håberg; Øyvind Salvesen; Ole Solheim
Journal:  Neuro Oncol       Date:  2018-08-02       Impact factor: 12.300

9.  Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies.

Authors:  Anderson M Winkler; Peter Kochunov; John Blangero; Laura Almasy; Karl Zilles; Peter T Fox; Ravindranath Duggirala; David C Glahn
Journal:  Neuroimage       Date:  2009-12-16       Impact factor: 6.556

10.  Heritability of regional and global brain structure at the onset of puberty: a magnetic resonance imaging study in 9-year-old twin pairs.

Authors:  Jiska S Peper; Hugo G Schnack; Rachel M Brouwer; G Caroline M Van Baal; Eneda Pjetri; Eszter Székely; Marieke van Leeuwen; Stéphanie M van den Berg; D Louis Collins; Alan C Evans; Dorret I Boomsma; René S Kahn; Hilleke E Hulshoff Pol
Journal:  Hum Brain Mapp       Date:  2009-07       Impact factor: 5.038

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