rs115583851 - LINC02529
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%
Auto-generated from study metadata. AI-synthesised commentary is added when this entry is regenerated through content-service's LLM mode.
Lifestyle context
Concrete actions anchored to the cited research. We do not prescribe, we describe.
Discuss with your doctor
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Genetic predisposition to elevated Lp(a) Moderate
Carriers of the T allele have significantly elevated Lp(a) levels from genetic predisposition; this is an independent cardiovascular risk factor not fully addressed by standard lipid management.
Discuss Lp(a)-specific cardiovascular risk and management options with physician.
Screening
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Lipoprotein A levels Moderate
The T allele at rs115583851 in LINC02529 is associated with significantly higher Lp(a) levels, a cardiovascular risk factor.
Obtain baseline Lp(a) level measurement; consider repeat screening every 3-5 years.