Genetic and Environmental Influences on Neuroimaging Phenotypes: A Meta-Analytical Perspective on Twin Imaging Studies
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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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- 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
- Publisher
- Cambridge University Press (CUP)
- Published
- 2012-06
- Volume
- 15
- Issue
- 3
- Pages
- 351-371
- ISSN
- 1832-4274 (ISSN-L)
- 1839-2628
- PMC
- PMC4291185
- 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
- bronze
- doi.org
- 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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