Associations between antagonistic SNPs for neuropsychiatric disorders and human brain structure

A previously published genome-wide association study (GWAS) meta-analysis across eight neuropsychiatric disorders identified antagonistic single-nucleotide polymorphisms (SNPs) at eleven genomic loci where the same allele was protective against one neuropsychiatric disorder and increased the risk for another. Until now, these antagonistic SNPs have not been further investigated regarding their link to brain structural phenotypes. Here, we explored their associations with cortical surface area and cortical thickness (in 34 brain regions and one global measure each) as well as the volumes of eight subcortical structures using summary statistics of large-scale GWAS of brain structural phenotypes. We assessed if significantly associated brain structural phenotypes were previously reported to be associated with major neuropsychiatric disorders in large-scale case-control imaging studies by the ENIGMA consortium. We further characterized the effects of the antagonistic SNPs on gene expression in brain tissue and their association with additional cognitive and behavioral phenotypes, and performed an exploratory voxel-based whole-brain analysis in the FOR2107 study (n = 754 patients with major depressive disorder and n = 847 controls). We found that eight antagonistic SNPs were significantly associated with brain structural phenotypes in regions such as anterior parts of the cingulate cortex, the insula, and the superior temporal gyrus. Case-control differences in implicated brain structural phenotypes have previously been reported for bipolar disorder, major depressive disorder, and schizophrenia. In addition, antagonistic SNPs were associated with gene expression changes in brain tissue and linked to several cognitive-behavioral traits. In our exploratory whole-brain analysis, we observed significant associations of gray matter volume in the left superior temporal pole and left superior parietal region with the variants rs301805 and rs1933802, respectively. Our results suggest that multiple antagonistic SNPs for neuropsychiatric disorders are linked to brain structural phenotypes. However, to further elucidate these findings, future case-control genomic imaging studies are required.

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Publication Details

Journal
Translational Psychiatry
Published
2024-10-02
DOI
https://doi.org/10.1038/s41398-024-03098-1
Citations
2
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
1.10

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article

Associations between antagonistic SNPs for neuropsychiatric disorders and human brain structure

Katrin Amunts, Janik Goltermann, Lisa Sindermann, Thomas W. Mühleisen et al.
2 citations
Translational Psychiatry
Genetic Associations and Epidemiology
1.10
article

Associations between antagonistic SNPs for neuropsychiatric disorders and human brain structure

Katrin Amunts, Janik Goltermann, Lisa Sindermann, Thomas W. Mühleisen, Andreas J. Forstner, Frederike Stein, Dominique I. Pelzer, Tilo T. J. Kircher, Friederike Sophie David, Till F. M. Andlauer, Svenja Caspers, Katharina Brosch, Christiane Jockwitz, Markus M. Nöthen, Lydia M Federmann, Sven Cichon, Udo Dannlowski
article en
2 citations

Abstract

A previously published genome-wide association study (GWAS) meta-analysis across eight neuropsychiatric disorders identified antagonistic single-nucleotide polymorphisms (SNPs) at eleven genomic loci where the same allele was protective against one neuropsychiatric disorder and increased the risk for another. Until now, these antagonistic SNPs have not been further investigated regarding their link to brain structural phenotypes. Here, we explored their associations with cortical surface area and cortical thickness (in 34 brain regions and one global measure each) as well as the volumes of eight subcortical structures using summary statistics of large-scale GWAS of brain structural phenotypes. We assessed if significantly associated brain structural phenotypes were previously reported to be associated with major neuropsychiatric disorders in large-scale case-control imaging studies by the ENIGMA consortium. We further characterized the effects of the antagonistic SNPs on gene expression in brain tissue and their association with additional cognitive and behavioral phenotypes, and performed an exploratory voxel-based whole-brain analysis in the FOR2107 study (n = 754 patients with major depressive disorder and n = 847 controls). We found that eight antagonistic SNPs were significantly associated with brain structural phenotypes in regions such as anterior parts of the cingulate cortex, the insula, and the superior temporal gyrus. Case-control differences in implicated brain structural phenotypes have previously been reported for bipolar disorder, major depressive disorder, and schizophrenia. In addition, antagonistic SNPs were associated with gene expression changes in brain tissue and linked to several cognitive-behavioral traits. In our exploratory whole-brain analysis, we observed significant associations of gray matter volume in the left superior temporal pole and left superior parietal region with the variants rs301805 and rs1933802, respectively. Our results suggest that multiple antagonistic SNPs for neuropsychiatric disorders are linked to brain structural phenotypes. However, to further elucidate these findings, future case-control genomic imaging studies are required.

Translational PsychiatryVol. 14(1)
Feinstein Institute for Medical Research (US), University of Bonn (DE), Philipps University of Marburg (DE), Forschungszentrum Jülich (DE), University of Basel (CH), University of Münster (DE), University Hospital Bonn (DE), University Hospital of Basel (CH), TUM Klinikum (DE), Düsseldorf University Hospital (DE), Heinrich Heine University Düsseldorf (DE), Technical University of Munich (DE)
Deutsche Forschungsgemeinschaft, Gillings School of Public Health
Good health and well-being
Openalex Percentile: Top 19%
Genetic Associations and Epidemiology
1.10
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