Journal Article

FZJ-2018-02924

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Using coordinate-based meta-analyses to explore structural imaging genetics

Janouschek, H. ; Eickhoff, C.FZJ* ; Mühleisen, T.FZJ* ; Eickhoff, S.FZJ* ; Nickl-Jockschat, T. (Corresponding author)

2018
Springer Berlin

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Please use a persistent id in citations: http://hdl.handle.net/2128/21713  doi:10.1007/s00429-018-1670-9

Abstract: Imaging genetics has become a highly popular approach in the field of schizophrenia research. A frequently reported finding is that effects from common genetic variation are associated with a schizophrenia-related structural endophenotype. Genetic contributions to a structural endophenotype may be easier to delineate, when referring to biological rather than diagnostic criteria. We used coordinate-based meta-analyses, namely the anatomical likelihood estimation (ALE) algorithm on 30 schizophrenia-related imaging genetics studies, representing 44 single-nucleotide polymorphisms at 26 gene loci investigated in 4682 subjects. To test whether analyses based on biological information would improve the convergence of results, gene ontology (GO) terms were used to group the findings from the published studies. We did not find any significant results for the main contrast. However, our analysis enrolling studies on genotype × diagnosis interaction yielded two clusters in the left temporal lobe and the medial orbitofrontal cortex. All other subanalyses did not yield any significant results. To gain insight into possible biological relationships between the genes implicated by these clusters, we mapped five of them to GO terms of the category “biological process” (AKT1, CNNM2, DISC1, DTNBP1, VAV3), then five to “cellular component” terms (AKT1, CNNM2, DISC1, DTNBP1, VAV3), and three to “molecular function” terms (AKT1, VAV3, ZNF804A). A subsequent cluster analysis identified representative, non-redundant subsets of semantically similar terms that aided a further interpretation. We regard this approach as a new option to systematically explore the richness of the literature in imaging genetics.

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Contributing Institute(s):

1. Gehirn & Verhalten (INM-7)
2. Strukturelle und funktionelle Organisation des Gehirns (INM-1)

Research Program(s):

1. 574 - Theory, modelling and simulation (POF3-574) (POF3-574)

Appears in the scientific report 2018

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Database coverage:
; ; BIOSIS Previews ; Current Contents - Life Sciences ; Ebsco Academic Search ; IF >= 5 ; JCR ; NCBI Molecular Biology Database ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection ; Zoological Record

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