Cited by 221Genetic Associations and EpidemiologyCognitive Abilities and TestingAdvanced Neuroimaging Techniques and Applications

Genetic and Environmental Influences on Neuroimaging Phenotypes: A Meta-Analytical Perspective on Twin Imaging Studies

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Blokland, Gabriëlla A. M., de Zubicaray, Greig I., McMahon, Katie L., Wright, Margaret J.·2012·Twin Research and Human Genetics

Abstract

Because brain structure and function are affected in neurological and psychiatric disorders, it is important to disentangle the sources of variation in these phenotypes. Over the past 15 years, twin studies have found evidence for both genetic and environmental influences on neuroimaging phenotypes, but considerable variation across studies makes it difficult to draw clear conclusions about the relative magnitude of these influences. Here we performed the first meta-analysis of structural MRI data from 48 studies on >1,250 twin pairs, and diffusion tensor imaging data from 10 studies on 444 twin pairs. The proportion of total variance accounted for by genes (A), shared environment (C), and unshared environment (E), was calculated by averaging A, C, and E estimates across studies from independent twin cohorts and weighting by sample size. The results indicated that additive genetic estimates were significantly different from zero for all meta-analyzed phenotypes, with the exception of fractional anisotropy (FA) of the callosal splenium, and cortical thickness (CT) of the uncus, left parahippocampal gyrus, and insula. For many phenotypes there was also a significant influence of C. We now have good estimates of heritability for many regional and lobar CT measures, in addition to the global volumes. Confidence intervals are wide and number of individuals small for many of the other phenotypes. In conclusion, while our meta-analysis shows that imaging measures are strongly influenced by genes, and that novel phenotypes such as CT measures, FA measures, and brain activation measures look especially promising, replication across independent samples and demographic groups is necessary.

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  • In adults, females show stronger positive amygdala connectivity with areas for face monitoring and discrimination, sensory processing, and emotional processing.

    “females showing stronger positive connectivity between the amygdala and areas associated with face monitoring and discrimination (middle temporal gyrus and inferior frontal gyrus), sensory processing (postcentral gyrus), and emotional processing (hippocampus)”
  • In adults, males show greater amygdala connectivity with areas involved in acquisition of conditioned fear, extinction learning, and extinction memory.

    “males showing greater connectivity between the amygdala and areas involved in the acquisition of conditioned fear, extinction learning and extinction memory 139, 140”

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  1. Neale, M. C., Baker, S. M., Xie, G., & Maes, H. H. (2002). Mx: Statistical modeling (6th ed.). Richmond, VA: Department of Psychiatry, University of Virginia.
  2. van Soelen, I. L. C., Brouwer, R. M., Schnack, H. G., Kahn, R. S., Hulshoff Pol, H. E., & Boomsma, D. I. (2011b). Associations between intelligence and cortical thickness emerge at the start of puberty. In Genetics of structural brain development and cognition in childhood and early adolescence (Doctoral dissertation). Vrije Universiteit, Amsterdam.

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Authors
Blokland, G. A. M., de Zubicaray, G. I., McMahon, K. L., & Wright, M. J.
Affiliations
  • QIMR Berghofer Medical Research Institute (AU)
  • The University of Queensland (AU)
Corresponding author
Blokland, Gabriëlla A. M.
Venue
Twin Research and Human Genetics
Published
2012-06
Volume
15
Issue
3
Pages
351-371
ISSN
  • 1832-4274 (ISSN-L)
  • 1839-2628
OpenAlex
W1864565846
Cited by
221
References
104
Citations by year
2026: 8 · 2025: 7 · 2024: 11 · 2023: 18 · 2022: 12 · 2021: 8 · 2020: 17 · 2019: 17 · 2018: 18 · 2017: 20 · 2016: 27 · 2015: 26 · 2014: 16 · 2013: 15 · 2012: 1
FWCI
2.27
Type
journal article
Language
en
Open access
Locations
  • Twin Research and Human Genetics (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • QUT ePrints (Queensland University of Technology) (submittedVersion)
Funders
Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD050735)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords
heritability, twin studies, neuroimaging phenotypes, genetic factors, shared environment, nonshared environment, structural MRI, diffusion tensor imaging, fractional anisotropy, cortical thickness, brain structure, uncus, parahippocampal gyrus, insula, brain activation
MeSH terms
Adolescent, Adult, Aged, Brain, Brain Mapping, Child, Child, Preschool, Humans, Magnetic Resonance Imaging, Middle Aged, Organ Size, Phenotype, Tomography, X-Ray Computed, Twins, Quantitative Trait, Heritable, Young Adult, Diffusion Tensor Imaging, Gene-Environment Interaction, Neuroimaging

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