rs10911271 - LAMC1 - LAMC2
Magnitude 2.0 · 2 studies on file
Reported associations
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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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Understanding the genetic determinants of the brain with MOSTest - Unknown journal (n.d.) · Unknown authors · PubMed 32665545
ABSTRACT: Regional brain morphology has a complex genetic architecture, consisting of many common polymorphisms with small individual effects. This has proven challenging for genome-wide association studies (GWAS). Due to the distributed nature of genetic signal across brain regions, multivariate analysis of regional measures may enhance discovery of genetic variants. Current multivariate approaches to GWAS are ill-suited for complex, large-scale data of this kind. Here, we introduce the Multivariate Omnibus Statistical Test (MOSTest), with an efficient computational design enabling rapid and reliable inference, and apply it to 171 regional brain morphology measures from 26,502 UK Biobank participants. At the conventional genome-wide significance threshold of α = 5 × 10−8, MOS
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