Expressive

rs11596664 - LINC02870 - LINC01165

Magnitude 2.2 · 2 studies on file

Reported associations

  • An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank - Unknown journal (n.d.) · Unknown authors · PubMed 33875891

    ABSTRACT: UK Biobank is a major prospective epidemiological study, including multimodal brain imaging, genetics and ongoing health outcomes. Previously, we published genome-wide associations of 3,144 brain imaging-derived phenotypes, with a discovery sample of 8,428 subjects. Here we present a new open resource of GWAS summary statistics, using the 2020 data release, almost tripling the discovery sample size. We now include the X chromosome, and new classes of image derived phenotypes (subcortical volumes and tissue contrast). Previously we had found 148 replicated clusters of associations between genetic variants and imaging phenotypes; here we find 692, including 12 on the X chromosome. We describe some of the newly found associations, focussing on the X chromosome and autosomal associat

  • Amplitudes of resting-state functional networks - investigation into their correlates and biophysical properties - Unknown journal (n.d.) · Unknown authors · PubMed 36462729

    ABSTRACT: Highlights Variability in amplitude of resting-state networks (RSNs) was assessed across 37,842 subjects. Network amplitudes are closely linked to functional connectivity between RSNs. Temporal synchrony between brain regions is a key factor determining RSN amplitudes. Sex effects on temporal synchrony differ between sensory and cognitive RSNs. Genetic variants associated with RSN amplitudes overlap with those associated with synchrony. Resting-state fMRI studies have shown that multiple functional networks, which consist of distributed brain regions that share synchronised spontaneous activity, co-exist in the brain. As these resting-state networks (RSNs) have been thought to reflect the brain's intrinsic functional organization, intersubject variability in the networks' spont

Auto-generated from study metadata. AI-synthesised commentary is added when this entry is regenerated through content-service's LLM mode.