rs11725397 - CWH43
Magnitude 2.2 · 1 study on file
Reported associations
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Discovery and prioritization of variants and genes for kidney function in >1.2 million individuals - Unknown journal (n.d.) · Unknown authors · PubMed 34272381
ABSTRACT: Genes underneath signals from genome-wide association studies (GWAS) for kidney function are promising targets for functional studies, but prioritizing variants and genes is challenging. By GWAS meta-analysis for creatinine-based estimated glomerular filtration rate (eGFR) from the Chronic Kidney Disease Genetics Consortium and UK Biobank (n = 1,201,909), we expand the number of eGFRcrea loci (424 loci, 201 novel; 9.8% eGFRcrea variance explained by 634 independent signal variants). Our increased sample size in fine-mapping (n = 1,004,040, European) more than doubles the number of signals with resolved fine-mapping (99% credible sets down to 1 variant for 44 signals, ≤5 variants for 138 signals). Cystatin-based eGFR and/or blood urea nitrogen association support 348 lo
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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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kidney disease risk assessment and screening frequency Moderate
Personalized assessment of CKD risk based on genetic findings and individual factors guides appropriate monitoring intervals.
discuss at next visit
Lifestyle
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kidney-protective habits Moderate
Hydration, blood pressure control, metabolic health, and regular activity support kidney function in carriers with genetic predisposition.
maintain hydration; monitor and control blood pressure; moderate regular exercise; maintain healthy weight
Screening
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kidney function via eGFR and creatinine Moderate
C allele associates with modestly altered eGFR in large GWAS; periodic monitoring tracks kidney function trajectory in carriers.
annual serum creatinine and eGFR; more frequently if values trend downward