Genetic associations with childhood brain growth, defined in two longitudinal cohorts

dc.contributor.authorSzekely, Eszter
dc.contributor.authorSchwantes-An, Tae-Hwi Linus
dc.contributor.authorJustice, Cristina M.
dc.contributor.authorSabourin, Jeremy A.
dc.contributor.authorJansen, Philip R.
dc.contributor.authorMuetzel, Ryan L.
dc.contributor.authorSharp, Wendy
dc.contributor.authorTiemeier, Henning
dc.contributor.authorSung, Heejong
dc.contributor.authorWhite, Tonya J.
dc.contributor.authorWilson, Alexander F.
dc.contributor.authorShaw, Philip
dc.contributor.departmentMedical and Molecular Genetics, School of Medicineen_US
dc.date.accessioned2019-08-23T18:39:50Z
dc.date.available2019-08-23T18:39:50Z
dc.date.issued2018-06
dc.description.abstractGenome-wide association studies (GWASs) are unraveling the genetics of adult brain neuroanatomy as measured by cross-sectional anatomic magnetic resonance imaging (aMRI). However, the genetic mechanisms that shape childhood brain development are, as yet, largely unexplored. In this study we identify common genetic variants associated with childhood brain development as defined by longitudinal aMRI. Genome-wide single nucleotide polymorphism (SNP) data were determined in two cohorts: one enriched for attention-deficit/hyperactivity disorder (ADHD) (LONG cohort: 458 participants; 119 with ADHD) and the other from a population-based cohort (Generation R: 257 participants). The growth of the brain's major regions (cerebral cortex, white matter, basal ganglia, and cerebellum) and one region of interest (the right lateral prefrontal cortex) were defined on all individuals from two aMRIs, and a GWAS and a pathway analysis were performed. In addition, association between polygenic risk for ADHD and brain growth was determined for the LONG cohort. For white matter growth, GWAS meta-analysis identified a genome-wide significant intergenic SNP (rs12386571, P = 9.09 × 10-9 ), near AKR1B10. This gene is part of the aldo-keto reductase superfamily and shows neural expression. No enrichment of neural pathways was detected and polygenic risk for ADHD was not associated with the brain growth phenotypes in the LONG cohort that was enriched for the diagnosis of ADHD. The study illustrates the use of a novel brain growth phenotype defined in vivo for further study.en_US
dc.eprint.versionAuthor's manuscripten_US
dc.identifier.citationSzekely, E., Schwantes-An, T. L., Justice, C. M., Sabourin, J. A., Jansen, P. R., Muetzel, R. L., … Shaw, P. (2018). Genetic associations with childhood brain growth, defined in two longitudinal cohorts. Genetic epidemiology, 42(4), 405–414. doi:10.1002/gepi.22122en_US
dc.identifier.urihttps://hdl.handle.net/1805/20555
dc.language.isoen_USen_US
dc.publisherWileyen_US
dc.relation.isversionof10.1002/gepi.22122en_US
dc.relation.journalGenetic Epidemiologyen_US
dc.rightsPublisher Policyen_US
dc.sourcePMCen_US
dc.subjectADHDen_US
dc.subjectGWASen_US
dc.subjectBrain developmenten_US
dc.subjectChildrenen_US
dc.subjectPathway analysisen_US
dc.subjectPolygenic scoreen_US
dc.titleGenetic associations with childhood brain growth, defined in two longitudinal cohortsen_US
dc.typeArticleen_US
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