Literature DB >> 23932088

Association of a cystatin C gene variant with cystatin C levels, CKD, and risk of incident cardiovascular disease and mortality.

Conall M O'Seaghdha1, Adrienne Tin2, Qiong Yang3, Ronit Katz4, Yongmei Liu5, Tamara Harris6, Brad Astor7, Josef Coresh8, Caroline S Fox9, W H Linda Kao2, Michael G Shlipak10.   

Abstract

BACKGROUND: Carriers of the T allele of the single-nucleotide polymorphism rs13038305 tend to have lower cystatin C levels and higher cystatin C-based estimated glomerular filtration rate (eGFRcys). Adjusting for this genetic effect on cystatin C concentrations may improve GFR estimation, reclassify cases of chronic kidney disease (CKD), and strengthen risk estimates for cardiovascular disease (CVD) and mortality. STUDY
DESIGN: Observational. SETTING &amp; POPULATION: 4 population-based cohorts: Atherosclerosis Risk in Communities (ARIC), Cardiovascular Health (CHS), Framingham Heart (FHS), and Health, Aging, and Body Composition (Health ABC) studies. PREDICTORS: We estimated the association of rs13038305 with eGFRcys and serum creatinine-based eGFR (eGFRcr) and performed longitudinal analyses of the associations of eGFRcys with mortality and cardiovascular events following adjustment for rs13038305. OUTCOMES: We assessed reclassification by genotype-adjusted eGFRcys across CKD categories: <45, 45-59, 60-89, and ≥ 90 mL/min/1.73 m(2). We compared mortality and CVD outcomes in those reclassified to a worse eGFRcys category with those unaffected. Results were combined using fixed-effect inverse-variance meta-analysis.
RESULTS: In 14,645 participants, each copy of the T allele of rs13038305 (frequency, 21%) was associated with a 6.4% lower cystatin C concentration, 5.5-mL/min/1.73 m(2) higher eGFRcys, and 36% [95% CI, 29%-41%] lower odds of CKD. Associations with CVD (HR, 1.17; 95% CI, 1.14-1.20) and mortality (HR, 1.22; 95% CI, 1.19-1.24) per 10-mL/min/1.73 m(2) lower eGFRcys were similar with or without rs13038305 adjustment. 1,134 (7.7%) participants were reclassified to a worse CKD category following rs13038305 adjustment, and rates of CVD and mortality were higher in individuals who were reclassified. However, the overall net reclassification index was not significant for either outcome, at 0.009 (95% CI, -0.003 to 0.022) for mortality and 0.014 (95% CI, 0.0 to 0.028) for CVD. LIMITATIONS: rs13038305 explains only a small proportion of cystatin C variation.
CONCLUSIONS: Statistical adjustment can correct a genetic bias in GFR estimates based on cystatin C in carriers of the T allele of rs13038305 and result in changes in disease classification. However, on a population level, the effects on overall reclassification of CKD status are modest. Published by Elsevier Inc.

Entities:  

Keywords:  Cystatin C; chronic kidney disease; genetics; net reclassification improvement; single-nucleotide polymorphism

Mesh:

Substances:

Year:  2013        PMID: 23932088      PMCID: PMC3872167          DOI: 10.1053/j.ajkd.2013.06.015

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   8.860


  22 in total

1.  Chronic kidney disease as a risk factor for cardiovascular disease and all-cause mortality: a pooled analysis of community-based studies.

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2.  Expressing the Modification of Diet in Renal Disease Study equation for estimating glomerular filtration rate with standardized serum creatinine values.

Authors:  Andrew S Levey; Josef Coresh; Tom Greene; Jane Marsh; Lesley A Stevens; John W Kusek; Frederick Van Lente
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Review 4.  Friends and relations of the cystatin superfamily--new members and their evolution.

Authors:  W M Brown; K M Dziegielewska
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5.  Cystatin C and the risk of death and cardiovascular events among elderly persons.

Authors:  Michael G Shlipak; Mark J Sarnak; Ronit Katz; Linda F Fried; Stephen L Seliger; Anne B Newman; David S Siscovick; Catherine Stehman-Breen
Journal:  N Engl J Med       Date:  2005-05-19       Impact factor: 91.245

6.  Cystatin C and prognosis for cardiovascular and kidney outcomes in elderly persons without chronic kidney disease.

Authors:  Michael G Shlipak; Ronit Katz; Mark J Sarnak; Linda F Fried; Anne B Newman; Catherine Stehman-Breen; Stephen L Seliger; Brian Kestenbaum; Bruce Psaty; Russell P Tracy; David S Siscovick
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7.  A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group.

Authors:  A S Levey; J P Bosch; J B Lewis; T Greene; N Rogers; D Roth
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8.  Genome-wide significant locus of beta-trace protein, a novel kidney function biomarker, identified in European and African Americans.

Authors:  Adrienne Tin; Brad C Astor; Eric Boerwinkle; Ron C Hoogeveen; Josef Coresh; W H Linda Kao
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9.  Estimating GFR using serum cystatin C alone and in combination with serum creatinine: a pooled analysis of 3,418 individuals with CKD.

Authors:  Lesley A Stevens; Josef Coresh; Christopher H Schmid; Harold I Feldman; Marc Froissart; John Kusek; Jerome Rossert; Frederick Van Lente; Robert D Bruce; Yaping Lucy Zhang; Tom Greene; Andrew S Levey
Journal:  Am J Kidney Dis       Date:  2008-03       Impact factor: 8.860

10.  A genome-wide association for kidney function and endocrine-related traits in the NHLBI's Framingham Heart Study.

Authors:  Shih-Jen Hwang; Qiong Yang; James B Meigs; Elizabeth N Pearce; Caroline S Fox
Journal:  BMC Med Genet       Date:  2007-09-19       Impact factor: 2.103

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3.  Sequencing of LRP2 reveals multiple rare variants associated with urinary trefoil factor-3.

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4.  Metabolomic profiling to improve glomerular filtration rate estimation: a proof-of-concept study.

Authors:  Josef Coresh; Lesley A Inker; Yingying Sang; Jingsha Chen; Tariq Shafi; Wendy S Post; Michael G Shlipak; Lisa Ford; Kelli Goodman; Regis Perichon; Tom Greene; Andrew S Levey
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Review 7.  Cystatin C is a disease-associated protein subject to multiple regulation.

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8.  Cardiovascular biomarkers predict post-discharge re-hospitalization risk and mortality among Swedish heart failure patients.

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9.  Detection of cystatin C biomarker for clinical measurement of renal disease by developed ELISA diagnostic kits.

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10.  Cystatin C and Risk of Diabetes and the Metabolic Syndrome - Biomarker and Genotype Association Analyses.

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