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学術論文

Early developmental gene enhancers affect subcortical volumes in the adult human brain

MPS-Authors
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Becker,  Martin
International Max Planck Research School for Language Sciences, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL;
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;

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Guadalupe,  Tulio
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;

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Francks,  Clyde
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;
Donders Institute for Brain, Cognition and Behaviour, External Organizations;
Imaging Genomics, MPI for Psycholinguistics, Max Planck Society;

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Vernes,  Sonja C.
Neurogenetics of Vocal Communication Group, MPI for Psycholinguistics, Max Planck Society;
Donders Institute for Brain, Cognition and Behaviour, External Organizations;

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Fisher,  Simon E.
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;
Donders Institute for Brain, Cognition and Behaviour, External Organizations;

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フルテキスト (公開)

Becker_etal_2016.pdf
(出版社版), 318KB

付随資料 (公開)

hbm23136-sup-0001-suppfig1.docx
(付録資料), 87KB

hbm23136-sup-0002-supptables.xlsx
(付録資料), 647KB

引用

Becker, M., Guadalupe, T., Franke, B., Hibar, D. P., Renteria, M. E., Stein, J. L., Thompson, P. M., Francks, C., Vernes, S. C., & Fisher, S. E. (2016). Early developmental gene enhancers affect subcortical volumes in the adult human brain. Human Brain Mapping, 37(5), 1788-1800. doi:10.1002/hbm.23136.


引用: https://hdl.handle.net/11858/00-001M-0000-0029-75B9-E
要旨
Genome-wide association screens aim to identify common genetic variants contributing to the phenotypic variability of complex traits, such as human height or brain morphology. The identified genetic variants are mostly within noncoding genomic regions and the biology of the genotype–phenotype association typically remains unclear. In this article, we propose a complementary targeted strategy to reveal the genetic underpinnings of variability in subcortical brain volumes, by specifically selecting genomic loci that are experimentally validated forebrain enhancers, active in early embryonic development. We hypothesized that genetic variation within these enhancers may affect the development and ultimately the structure of subcortical brain regions in adults. We tested whether variants in forebrain enhancer regions showed an overall enrichment of association with volumetric variation in subcortical structures of >13,000 healthy adults. We observed significant enrichment of genomic loci that affect the volume of the hippocampus within forebrain enhancers (empirical P = 0.0015), a finding which robustly passed the adjusted threshold for testing of multiple brain phenotypes (cutoff of P < 0.0083 at an alpha of 0.05). In analyses of individual single nucleotide polymorphisms (SNPs), we identified an association upstream of the ID2 gene with rs7588305 and variation in hippocampal volume. This SNP-based association survived multiple-testing correction for the number of SNPs analyzed but not for the number of subcortical structures. Targeting known regulatory regions offers a way to understand the underlying biology that connects genotypes to phenotypes, particularly in the context of neuroimaging genetics. This biology-driven approach generates testable hypotheses regarding the functional biology of identified associations.