rs10420325 - SMARCA4

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%

• Alzheimer's disease multi‐ancestry genome‐wide interaction and stratified study with smoking - Unknown journal (n.d.) · Unknown authors · PubMed 41268768

  ABSTRACT: Abstract INTRODUCTION Alzheimer's disease (AD) has genetic and environmental risk factors, including cigarette smoking. Gene-environment interactions may explain AD missing heritability. METHODS Lifetime smoking data from 22,032 European ancestry and 3126 African ancestry participants from the Alzheimer's Disease Genetic Consortium and the Framingham Heart Study were used to conduct genome‐wide single nucleotide polymorphism (SNP)‐by‐smoking interaction and smoking‐stratified association studies. For top‐ranked loci, brain‐derived bulk and single nuclei RNA‐sequencing were used for differential expression and colocalization analyses. RESULTS Among smokers only, there was a genome‐wide significant association in the APAF1/ANKS1B region (rs12368451; odds ratio =

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