Expressive

rs11626929 - NYNRIN

Magnitude 2.2 · 3 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%

  • Genetic analysis in African American children supports ancestry specific neuroblastoma susceptibility - Unknown journal (n.d.) · Unknown authors · PubMed 35131881

    ABSTRACT: Background. Neuroblastoma is rarer in African American (AA) children compared to American children of European descent. AA children affected with neuroblastoma, however, more frequently develop the high-risk form of the disease. Methods. We have genotyped an AA cohort of 629 neuroblastoma cases (254 high-risk) and 2,990 controls to investigate genetic susceptibility to neuroblastoma in AAs. Results. We confirmed the known neuroblastoma susceptibility gene BARD1 at genome-wide significance in the subset of high-risk cases. We also estimated local admixture across the autosomal genome in the AA cases and controls and detected a signal at 4q31.22 where cases show an increase in European ancestry. A region at 17p13.1 showed increased African ancestry in the subgroup of high-risk case

  • The power of genetic diversity in genome-wide association studies of lipids - Unknown journal (n.d.) · Unknown authors · PubMed 34887591

    ABSTRACT: Elevated blood lipid levels are heritable risk factors of cardiovascular disease with varying prevalence worldwide due to differing dietary patterns and medication use. Despite advances in prevention and treatment, particularly through the lowering of low-density lipoprotein cholesterol levels, heart disease remains the leading cause of death worldwide. Genome-wide association studies (GWAS) of blood lipid levels have led to important biological and clinical insights, as well as new drug targets, for cardiovascular disease. However, most previous GWAS have been conducted in European ancestry populations and may have missed genetic variants contributing to lipid level variation in other ancestry groups due to differences in allele frequencies, effect sizes, and linkage-disequilibr

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