rs118117077 - CEACAM16, CEACAM16-AS1

Magnitude 2.2 · 1 study 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%


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Lifestyle context

Concrete actions anchored to the cited research. We do not prescribe, we describe.

Diet

  • emphasis on LDL-lowering dietary patterns Moderate

    Genetic predisposition to elevated LDL; increased fiber, plant sterols, and reduced saturated fat support healthy cholesterol levels.

    Emphasize whole grains, legumes, nuts, fatty fish; limit saturated fat and processed foods.

Exercise

  • regular aerobic exercise for cardiovascular health Moderate

    Exercise improves lipid profiles including LDL reduction; particularly beneficial given genetic predisposition to elevated LDL.

    150 minutes moderate-intensity or 75 minutes vigorous aerobic activity per week.

Screening

  • lipid panel screening Moderate

    Genetic predisposition to elevated LDL warrants monitoring to assess actual cholesterol levels and guide cardiovascular risk management.

    Lipid panel every 1-2 years, or annually if additional cardiovascular risk factors present.