Expressive

rs12291300 - BRSK2

Magnitude 2.0 · 2 studies on file

Reported associations

  • Distributed genetic effects of the corpus callosum subregions suggest links to neuropsychiatric disorders and related traits - Acta neuropsychiatrica (2025) · Campbell ML, Dalvie S, Shadrin A, van der Meer D, O'Connell K, Frei O, Andreassen OA, Stein DJ, Rokicki J · PubMed 37612147

    ABSTRACT: Background: The corpus callosum (CC) is a brain structure with a high heritability and potential role in psychiatric disorders. However, the genetic architecture of the CC and the genetic link with psychiatric disorders remain largely unclear. We investigated the genetic architectures of the volume of the CC and its subregions and the genetic overlap with psychiatric disorders. Methods: We applied multivariate genome-wide association study (GWAS) to genetic and T1-weighted magnetic resonance imaging (MRI) data of 40,894 individuals from the UK Biobank, aiming to boost genetic discovery and to assess the pleiotropic effects across volumes of the five subregions of the CC (posterior, mid-posterior, central, mid-anterior and anterior) obtained by FreeSurfer 7.1. Multivariate GWAS wa

  • The genetic architecture of the corpus callosum and its genetic overlap with common neuropsychiatric diseases. - Journal of affective disorders (2023) · Chen SJ, Wu BS, Ge YJ, Chen SD, Ou YN, Dong Q, Feng J, Cheng W, Yu JT · PubMed 37164063

    The corpus callosum (CC) is the main structure transferring information between the cerebral hemispheres. Although previous large-scale genome-wide association study (GWAS) has illustrated the genetic architecture of white matter integrity of CC, CC volume is less stressed. Using MRI data from 33,861 individuals in UK Biobank, we conducted univariate and multivariate GWAS for CC fractional anisotropy (FA) and volume with PLINK 2.0 and MOSTest. All discovered SNPs in the multivariate framework were functionally annotated in FUMA v1.3.8. In the meanwhile, a series of gene property analyses was conducted simultaneously. In addition, we estimated genetic relationship between CC metrics and other neuropsychiatric traits and diseases. We identified a total of 36 and 82 significant genomic loci f

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