rs10939691 - WDR1
Magnitude 2.2 · 1 study on file
Reported associations
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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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Lifestyle context
Concrete actions anchored to the cited research. We do not prescribe, we describe.
Discuss with your doctor
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urate management strategy based on genetic predisposition Moderate
genetic variation suggests individual differences in urate metabolism that may warrant personalized prevention strategies
discuss lifetime risk of gout, kidney stones, cardiovascular effects; establish target urate level if appropriate
Screening
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serum urate levels Moderate
rs10939691 shows strong genome-wide association with serum urate concentration, indicating genetic influence on urate metabolism
measure serum urate at baseline and annually, more frequently if gout symptoms develop