rs11725397 - CWH43

Magnitude 2.2 · 1 study on file

Reported associations

  • 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

  • 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

  • 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

  • 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