Expressive

rs112616980 - BCAM - NECTIN2

Magnitude 2.2 · 2 studies on file

Reported associations

  • Identification of 16 novel Alzheimer's disease loci using multi‐ancestry meta‐analyses - Unknown journal (n.d.) · Unknown authors · PubMed 39998322

    ABSTRACT: Abstract INTRODUCTION Alzheimer's disease (AD) is the most prevalent form of dementia. While many AD‐associated genetic determinants have been identified, few studies have analyzed individuals of non‐European ancestry. METHODS We conducted a multi‐ancestry genome‐wide association study (GWAS) of clinically diagnosed AD and AD‐by‐proxy using whole genome sequencing data from the National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site (NIAGADS), National Institute of Mental Health, UK Biobank (UKB), and All of Us (AoU) consisting of 49,149 cases (12,074 clinically diagnosed and 37,075 AD‐by‐proxy) and 383,225 controls. Nearly half of NIAGADS and AoU participants were of non‐European ancestry. RESULTS For clinically diagnosed AD, we identified

  • 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%

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