rs117239225 - ID1
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.
Bloodwork
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kidney function markers (creatinine, cystatin C, eGFR) Moderate
Regular monitoring of kidney function biomarkers allows early detection of decline in T allele carriers with elevated CST7
Annual or biennial testing; more frequent if baseline values abnormal
Discuss with your doctor
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kidney health and CST7 biomarker status with provider Moderate
Genetic predisposition to elevated CST7 warrants clinical evaluation and personalized monitoring strategy
Screening
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kidney function evaluation with baseline testing Moderate
Cystatin C (CST7) is a biomarker for glomerular filtration rate; T allele carriers have elevated CST7 indicating potentially reduced kidney function
Obtain baseline serum creatinine, cystatin C, and calculated eGFR if not recently measured