TY  - JOUR
AU  - Janouschek, Hildegard
AU  - Eickhoff, Claudia
AU  - Mühleisen, Thomas
AU  - Eickhoff, Simon
AU  - Nickl-Jockschat, Thomas
TI  - Using coordinate-based meta-analyses to explore structural imaging genetics
JO  - Brain structure & function
VL  - 223
IS  - 7
SN  - 1863-2661
CY  - Berlin
PB  - Springer
M1  - FZJ-2018-02924
SP  - 3045–3061
PY  - 2018
AB  - 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.
LB  - PUB:(DE-HGF)16
C6  - pmid:29730826
UR  - <Go to ISI:>//WOS:000443296300002
DO  - DOI:10.1007/s00429-018-1670-9
UR  - https://juser.fz-juelich.de/record/845712
ER  -