Cargando…
Genome-wide association analysis identifies common variants influencing infant brain volumes
Genome-wide association studies (GWAS) of adolescents and adults are transforming our understanding of how genetic variants impact brain structure and psychiatric risk, but cannot address the reality that psychiatric disorders are unfolding developmental processes with origins in fetal life. To inve...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5611727/ https://www.ncbi.nlm.nih.gov/pubmed/28763065 http://dx.doi.org/10.1038/tp.2017.159 |
_version_ | 1783266008305238016 |
---|---|
author | Xia, K Zhang, J Ahn, M Jha, S Crowley, J J Szatkiewicz, J Li, T Zou, F Zhu, H Hibar, D Thompson, P Sullivan, P F Styner, M Gilmore, J H Knickmeyer, R C |
author_facet | Xia, K Zhang, J Ahn, M Jha, S Crowley, J J Szatkiewicz, J Li, T Zou, F Zhu, H Hibar, D Thompson, P Sullivan, P F Styner, M Gilmore, J H Knickmeyer, R C |
author_sort | Xia, K |
collection | PubMed |
description | Genome-wide association studies (GWAS) of adolescents and adults are transforming our understanding of how genetic variants impact brain structure and psychiatric risk, but cannot address the reality that psychiatric disorders are unfolding developmental processes with origins in fetal life. To investigate how genetic variation impacts prenatal brain development, we conducted a GWAS of global brain tissue volumes in 561 infants. An intronic single-nucleotide polymorphism (SNP) in IGFBP7 (rs114518130) achieved genome-wide significance for gray matter volume (P=4.15 × 10(−10)). An intronic SNP in WWOX (rs10514437) neared genome-wide significance for white matter volume (P=1.56 × 10(−8)). Additional loci with small P-values included psychiatric GWAS associations and transcription factors expressed in developing brain. Genetic predisposition scores for schizophrenia and ASD, and the number of genes impacted by rare copy number variants (CNV burden) did not predict global brain tissue volumes. Integration of these results with large-scale neuroimaging GWAS in adolescents (PNC) and adults (ENIGMA2) suggests minimal overlap between common variants impacting brain volumes at different ages. Ultimately, by identifying genes contributing to adverse developmental phenotypes, it may be possible to adjust adverse trajectories, preventing or ameliorating psychiatric and developmental disorders. |
format | Online Article Text |
id | pubmed-5611727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-56117272017-09-27 Genome-wide association analysis identifies common variants influencing infant brain volumes Xia, K Zhang, J Ahn, M Jha, S Crowley, J J Szatkiewicz, J Li, T Zou, F Zhu, H Hibar, D Thompson, P Sullivan, P F Styner, M Gilmore, J H Knickmeyer, R C Transl Psychiatry Original Article Genome-wide association studies (GWAS) of adolescents and adults are transforming our understanding of how genetic variants impact brain structure and psychiatric risk, but cannot address the reality that psychiatric disorders are unfolding developmental processes with origins in fetal life. To investigate how genetic variation impacts prenatal brain development, we conducted a GWAS of global brain tissue volumes in 561 infants. An intronic single-nucleotide polymorphism (SNP) in IGFBP7 (rs114518130) achieved genome-wide significance for gray matter volume (P=4.15 × 10(−10)). An intronic SNP in WWOX (rs10514437) neared genome-wide significance for white matter volume (P=1.56 × 10(−8)). Additional loci with small P-values included psychiatric GWAS associations and transcription factors expressed in developing brain. Genetic predisposition scores for schizophrenia and ASD, and the number of genes impacted by rare copy number variants (CNV burden) did not predict global brain tissue volumes. Integration of these results with large-scale neuroimaging GWAS in adolescents (PNC) and adults (ENIGMA2) suggests minimal overlap between common variants impacting brain volumes at different ages. Ultimately, by identifying genes contributing to adverse developmental phenotypes, it may be possible to adjust adverse trajectories, preventing or ameliorating psychiatric and developmental disorders. Nature Publishing Group 2017-08 2017-08-01 /pmc/articles/PMC5611727/ /pubmed/28763065 http://dx.doi.org/10.1038/tp.2017.159 Text en Copyright © 2017 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Original Article Xia, K Zhang, J Ahn, M Jha, S Crowley, J J Szatkiewicz, J Li, T Zou, F Zhu, H Hibar, D Thompson, P Sullivan, P F Styner, M Gilmore, J H Knickmeyer, R C Genome-wide association analysis identifies common variants influencing infant brain volumes |
title | Genome-wide association analysis identifies common variants influencing infant brain volumes |
title_full | Genome-wide association analysis identifies common variants influencing infant brain volumes |
title_fullStr | Genome-wide association analysis identifies common variants influencing infant brain volumes |
title_full_unstemmed | Genome-wide association analysis identifies common variants influencing infant brain volumes |
title_short | Genome-wide association analysis identifies common variants influencing infant brain volumes |
title_sort | genome-wide association analysis identifies common variants influencing infant brain volumes |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5611727/ https://www.ncbi.nlm.nih.gov/pubmed/28763065 http://dx.doi.org/10.1038/tp.2017.159 |
work_keys_str_mv | AT xiak genomewideassociationanalysisidentifiescommonvariantsinfluencinginfantbrainvolumes AT zhangj genomewideassociationanalysisidentifiescommonvariantsinfluencinginfantbrainvolumes AT ahnm genomewideassociationanalysisidentifiescommonvariantsinfluencinginfantbrainvolumes AT jhas genomewideassociationanalysisidentifiescommonvariantsinfluencinginfantbrainvolumes AT crowleyjj genomewideassociationanalysisidentifiescommonvariantsinfluencinginfantbrainvolumes AT szatkiewiczj genomewideassociationanalysisidentifiescommonvariantsinfluencinginfantbrainvolumes AT lit genomewideassociationanalysisidentifiescommonvariantsinfluencinginfantbrainvolumes AT zouf genomewideassociationanalysisidentifiescommonvariantsinfluencinginfantbrainvolumes AT zhuh genomewideassociationanalysisidentifiescommonvariantsinfluencinginfantbrainvolumes AT hibard genomewideassociationanalysisidentifiescommonvariantsinfluencinginfantbrainvolumes AT thompsonp genomewideassociationanalysisidentifiescommonvariantsinfluencinginfantbrainvolumes AT genomewideassociationanalysisidentifiescommonvariantsinfluencinginfantbrainvolumes AT sullivanpf genomewideassociationanalysisidentifiescommonvariantsinfluencinginfantbrainvolumes AT stynerm genomewideassociationanalysisidentifiescommonvariantsinfluencinginfantbrainvolumes AT gilmorejh genomewideassociationanalysisidentifiescommonvariantsinfluencinginfantbrainvolumes AT knickmeyerrc genomewideassociationanalysisidentifiescommonvariantsinfluencinginfantbrainvolumes |