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

Becker, M., Guadalupe, T., Franke, B., Hibar, D. P., Renteria, M. E., Stein, J. L., et al. (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.

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 Creators:
Becker, Martin1, 2, Author           
Guadalupe, Tulio2, Author           
Franke, Barbara3, 4, 5, Author
Hibar, Derrek P.6, Author
Renteria, Miguel E.7, Author
Stein, Jason L.6, 8, Author
Thompson, Paul M.6, Author
Francks, Clyde2, 3, 9, Author           
Vernes, Sonja C.3, 10, Author           
Fisher, Simon E.2, 3, Author           
Affiliations:
1International Max Planck Research School for Language Sciences, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL, ou_1119545              
2Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society, ou_792549              
3Donders Institute for Brain, Cognition and Behaviour, External Organizations, ou_55236              
4Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands, ou_persistent22              
5Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands, ou_persistent22              
6Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, California, ou_persistent22              
7Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Australia, ou_persistent22              
8Department of Neurology, Neurogenetics Program, UCLA School of Medicine, Los Angeles, California, ou_persistent22              
9Imaging Genomics, MPI for Psycholinguistics, Max Planck Society, Wundtlaan 1, 6525 XD Nijmegen, NL, ou_2579692              
10Neurogenetics of Vocal Communication Group, MPI for Psycholinguistics, Max Planck Society, ou_2231636              

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 Abstract: 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.

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Language(s): eng - English
 Dates: 201620162016
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1002/hbm.23136
 Degree: -

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Title: Human Brain Mapping
Source Genre: Journal
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Publ. Info: New York : Wiley-Liss
Pages: - Volume / Issue: 37 (5) Sequence Number: - Start / End Page: 1788 - 1800 Identifier: ISSN: 1065-9471
CoNE: https://pure.mpg.de/cone/journals/resource/954925601686