Expressive

rs12148488 - PPCDC

Magnitude 2.2 · 3 studies on file

Reported associations

  • Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci - Unknown journal (n.d.) · Unknown authors · PubMed 27618448

    ABSTRACT: Meta-analyses of association results for blood pressure using exome-centric single-variants and gene-based tests identified 31 novel loci in discovery among 146,562 individuals with follow-up and meta-analysis in 180,726 additional individuals (Ntotal=327,288). These blood pressure loci are enriched for known cardiometabolic trait variants. Associations were also observed for the aggregation of rare/low-frequency missense variants in three genes, NPR1, DBH, and PTPMT1. In addition, blood pressure associations at 39 previously reported loci were confirmed. The identified variants implicate biological pathways related to cardiometabolic traits, vascular function, and development. Several new variants are inferred to have roles in transcription or as hubs in protein-protein interact

  • Genome-Wide Meta-Analysis Identifies Regions on 7p21 (AHR) and 15q24 (CYP1A2) As Determinants of Habitual Caffeine Consumption - Unknown journal (n.d.) · Unknown authors · PubMed 21490707

    ABSTRACT: We report the first genome-wide association study of habitual caffeine intake. We included 47,341 individuals of European descent based on five population-based studies within the United States. In a meta-analysis adjusted for age, sex, smoking, and eigenvectors of population variation, two loci achieved genome-wide significance: 7p21 (P = 2.4×10−19), near AHR, and 15q24 (P = 5.2×10−14), between CYP1A1 and CYP1A2. Both the AHR and CYP1A2 genes are biologically plausible candidates as CYP1A2 metabolizes caffeine and AHR regulates CYP1A2. Author Summary Caffeine is the most widely consumed psychoactive substance in the world. Although demographic and social factors have been linked to habitual caffeine consumption, twin studies report a large heritable component. Thro

  • Genetic associations with ratios between protein levels detect new pQTLs and reveal protein-protein interactions - Unknown journal (n.d.) · Unknown authors · PubMed 38412862

    ABSTRACT: Summary Protein quantitative trait loci (pQTLs) are an invaluable source of information for drug target development because they provide genetic evidence to support protein function, suggest relationships between cis- and trans-associated proteins, and link proteins to disease endpoints. Using Olink proteomics data for 1,463 proteins measured in over 54,000 samples of the UK Biobank, we identified 4,248 associations with 2,821 ratios between protein levels (rQTLs). rQTLs were 7.6-fold enriched in known protein-protein interactions, suggesting that their ratios reflect biological links between the implicated proteins. Conducting a GWAS on ratios increased the number of discovered genetic signals by 24.7%. The approach can identify novel loci of clinical relevance, support causal g

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