rs1008953 - SDC4 - SYS1

Magnitude 2.2 · 2 studies on file

Reported associations

  • A scalable variational inference approach for increased mixed-model association power - Unknown journal (n.d.) · Unknown authors · PubMed 39789286

    ABSTRACT: The rapid growth of modern biobanks is creating new opportunities for large-scale genome-wide association studies (GWASs) and the analysis of complex traits. However, performing GWASs on millions of samples often leads to trade-offs between computational efficiency and statistical power, reducing the benefits of large-scale data collection efforts. We developed Quickdraws, a method that increases association power in quantitative and binary traits without sacrificing computational efficiency, leveraging a spike-and-slab prior on variant effects, stochastic variational inference and graphics processing unit acceleration. We applied Quickdraws to 79 quantitative and 50 binary traits in 405,088 UK Biobank samples, identifying 4.97% and 3.25% more associations than REGENIE and 22.71%

  • Genome-wide association analysis identifies three psoriasis susceptibility loci - Unknown journal (n.d.) · Unknown authors · PubMed 20953189

    ABSTRACT: To identify novel psoriasis susceptibility loci, we carried out a meta-analysis of two recent genome-wide association studies, yielding a discovery sample of 1,831 cases and 2,546 controls. 102 of the most promising loci in the discovery analysis were followed up in a three-stage replication study using 4,064 cases and 4,685 controls from Michigan, Toronto, Newfoundland, and Germany. Association at a genome-wide level of significance for the combined discovery and replication samples was found for three genomic regions. One contains NOS2 (rs4795067, p = 4 × 10−11), another contains FBXL19 (rs10782001, p = 9 × 10−10), and a third contains PSMA6 and NFKBIA (rs12586317, p = 2 × 10−8). All three loci were also strongly associated with the subphenotypes of psoriatic arthritis


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