rs11130078 - FYCO1

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%

  • The genetic basis of dermatophytosis skin infection susceptibility - Unknown journal (n.d.) · Unknown authors · PubMed 41792138

    ABSTRACT: Dermatophytosis is a fungal infection affecting keratinized tissues such as skin, nails, and hair, presenting as red and itchy patches, nail thickening, or hair loss. It affects around 20% of the global population but the genetic architecture remains poorly understood. We performed a genome-wide association meta-analysis of over 250,000 cases and 1.37 million controls from FinnGen, Estonian Biobank, UK Biobank, and the Million Veteran Program and identified 30 genome-wide significant loci, including seven missense variants and two loci in high linkage disequilibrium with missense variants. Top associations were near ZNF646, HLA-DQB1, FLG, FTO, SLURP2, and KRT77. Additionally, dermatophytosis subtype analyses revealed 44 signals. Our results highlight the role of disrupted keratin


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