rs10499 - ATP2A1

Magnitude 2.2 · 2 studies on file

Reported associations

• GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal influence of schizophrenia - Unknown journal (n.d.) · Unknown authors · PubMed 30150663

  ABSTRACT: Cannabis use is a heritable trait that has been associated with adverse mental health outcomes. In the largest genome-wide association study for lifetime cannabis use to date (N=184,765), we identified 8 genome-wide significant independent single nucleotide polymorphisms in 6 regions. All measured genetic variants combined explained 11% of the variance. Gene-based tests revealed 35 significant genes in 16 regions, and S-PrediXcan analyses showed that 21 genes had different expression levels for cannabis users versus non-users. The strongest finding across the different analyses was CADM2, which has been associated with substance use and risk-taking. Significant genetic correlations were found with 14 of 25 tested substance use and mental health traits, including smoking, alcohol

• Genetic drivers of heterogeneity in type 2 diabetes pathophysiology - Unknown journal (n.d.) · Unknown authors · PubMed 38374256

  ABSTRACT: Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms that are often specific to cell type. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 × 10−8) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-sp

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