Dataset Information

A genome-wide search for linkage of estimated glomerular filtration rate (eGFR) in the Family Investigation of Nephropathy and Diabetes (FIND).

ABSTRACT:

Objective

Estimated glomerular filtration rate (eGFR), a measure of kidney function, is heritable, suggesting that genes influence renal function. Genes that influence eGFR have been identified through genome-wide association studies. However, family-based linkage approaches may identify loci that explain a larger proportion of the heritability. This study used genome-wide linkage and association scans to identify quantitative trait loci (QTL) that influence eGFR.

Methods

Genome-wide linkage and sparse association scans of eGFR were performed in families ascertained by probands with advanced diabetic nephropathy (DN) from the multi-ethnic Family Investigation of Nephropathy and Diabetes (FIND) study. This study included 954 African Americans (AA), 781 American Indians (AI), 614 European Americans (EA) and 1,611 Mexican Americans (MA). A total of 3,960 FIND participants were genotyped for 6,000 single nucleotide polymorphisms (SNPs) using the Illumina Linkage IVb panel. GFR was estimated by the Modification of Diet in Renal Disease (MDRD) formula.

Results

The non-parametric linkage analysis, accounting for the effects of diabetes duration and BMI, identified the strongest evidence for linkage of eGFR on chromosome 20q11 (log of the odds [LOD] = 3.34; P = 4.4 × 10(-5)) in MA and chromosome 15q12 (LOD = 2.84; P = 1.5 × 10(-4)) in EA. In all subjects, the strongest linkage signal for eGFR was detected on chromosome 10p12 (P = 5.5 × 10(-4)) at 44 cM near marker rs1339048. A subsequent association scan in both ancestry-specific groups and the entire population identified several SNPs significantly associated with eGFR across the genome.

Conclusion

The present study describes the localization of QTL influencing eGFR on 20q11 in MA, 15q21 in EA and 10p12 in the combined ethnic groups participating in the FIND study. Identification of causal genes/variants influencing eGFR, within these linkage and association loci, will open new avenues for functional analyses and development of novel diagnostic markers for DN.

SUBMITTER: Thameem F

PROVIDER: S-EPMC3866106 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Publications

A genome-wide search for linkage of estimated glomerular filtration rate (eGFR) in the Family Investigation of Nephropathy and Diabetes (FIND).

Thameem Farook F Igo Robert P RP Freedman Barry I BI Langefeld Carl C Hanson Robert L RL Schelling Jeffrey R JR Elston Robert C RC Duggirala Ravindranath R Nicholas Susanne B SB Goddard Katrina A B KA Divers Jasmin J Guo Xiuqing X Ipp Eli E Kimmel Paul L PL Meoni Lucy A LA Shah Vallabh O VO Smith Michael W MW Winkler Cheryl A CA Zager Philip G PG Knowler William C WC Nelson Robert G RG Pahl Madeline V MV Parekh Rulan S RS Kao W H Linda WH Rasooly Rebekah S RS Adler Sharon G SG Abboud Hanna E HE Iyengar Sudha K SK Sedor John R JR

PloS one 20131217 12

<h4>Objective</h4>Estimated glomerular filtration rate (eGFR), a measure of kidney function, is heritable, suggesting that genes influence renal function. Genes that influence eGFR have been identified through genome-wide association studies. However, family-based linkage approaches may identify loci that explain a larger proportion of the heritability. This study used genome-wide linkage and association scans to identify quantitative trait loci (QTL) that influence eGFR.<h4>Methods</h4>Genome-w ...[more]

PMID: 24358131

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Project description:Background and objectivesMarijuana use has become more widely accepted in the United States and has been legalized in many areas. Although it is biologically plausible that marijuana could affect kidney function, epidemiologic data are lacking.Design, setting, participants, & measurementsWe conducted a cohort study among young adults with preserved eGFR (i.e., eGFR?60 ml/min per 1.73 m2) using data from the Coronary Artery Risk Development in Young Adults (CARDIA) study. At scheduled examinations occurring every 5 years and starting at study year 10 (calendar years, 1995-1996), cystatin C was collected over a 10-year period, and urine albumin-to-creatinine ratio was collected over a 15-year period. We investigated the cross-sectional association between current and cumulative marijuana use (in marijuana-years; one marijuana-year equals 365 days of marijuana use) and eGFR by cystatin C (eGFRcys) at year 10. In longitudinal analyses, we investigated the association between cumulative marijuana use and eGFRcys change and rapid (?3%/year) eGFRcys decline over two 5-year intervals and prevalent albuminuria (urine albumin-to-creatinine ratio ?30 mg/g) over a 15-year period.ResultsPast or current marijuana use was reported by 83% (3131 of 3765) of the cohort, and the mean eGFRcys was 111 ml/min per 1.73 m2 at year 10. Over the following 10 years, 504 had rapid eGFRcys decline, and over the following 15 years, 426 had prevalent albuminuria. Compared with no use, daily current use and ?5 marijuana-years of cumulative use were associated with lower eGFRcys at year 10: -4.5% (95% confidence interval, -8.1 to -0.7%; P=0.02) and -3.0% (95% confidence interval, -5.6 to -0.4%; P=0.03), respectively. Marijuana use was not significantly associated with eGFRcys change, rapid eGFRcys decline, or prevalent albuminuria.ConclusionsAlthough we identified a modest cross-sectional association between higher marijuana exposure and lower eGFRcys among young adults with preserved eGFR, our findings were largely null and did not demonstrate a longitudinal association between marijuana use and eGFRcys change, rapid eGFRcys decline, or prevalent albuminuria.PodcastThis article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2017_08_24_CJASNPodcast_17_10.mp3.

Project description:BackgroundGlomerular filtration rate (GFR) is accepted as the best indicator of kidney function and is commonly estimated from serum creatinine (SCr)-based equations. Separate equations have been developed for children (Schwartz equation), younger and middle-age adults [Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation] and older adults [Berlin Initiative Study 1 (BIS1) equation], and these equations lack continuity with ageing. We developed and validated an equation for estimating the glomerular filtration rate that can be used across the full age spectrum (FAS).MethodsThe new FAS equation is based on normalized serum creatinine (SCr/Q), where Q is the median SCr from healthy populations to account for age and sex. Coefficients for the equation are mathematically obtained by requiring continuity during the paediatric-adult and adult-elderly transition. Research studies containing a total of 6870 healthy and kidney-diseased white individuals, including 735 children, <18 years of age, 4371 adults, between 18 and 70 years of age, and 1764 older adults, ?70 years of age with measured GFR (inulin, iohexol and iothalamate clearance) and isotope dilution mass spectrometry-equivalent SCr, were used for the validation. Bias, precision and accuracy (P30) were evaluated.ResultsThe FAS equation was less biased [-1.7 (95% CI -3.4, -0.2) versus 6.0 (4.5, 7.5)] and more accurate [87.5% (85.1, 89.9) versus 83.8% (81.1, 86.5)] than the Schwartz equation for children and adolescents; less biased [5.0 (4.5, 5.5) versus 6.3 (5.9, 6.8)] and as accurate [81.6% (80.4, 82.7) versus 81.9% (80.7, 83.0)] as the CKD-EPI equation for young and middle-age adults; and less biased [-1.1 (-1.6, -0.6) versus 5.6 (5.1, 6.2)] and more accurate [86.1% (84.4, 87.7) versus 81.8% (79.7, 84.0)] than CKD-EPI for older adults.ConclusionsThe FAS equation has improved validity and continuity across the full age-spectrum and overcomes the problem of implausible eGFR changes in patients which would otherwise occur when switching between more age-specific equations.

Project description:IntroductionDiabetes is a common cause of end-stage kidney disease leading to dialysis or kidney transplantation. Estimated glomerular filtration rate (eGFR) measures kidney function, and differences in the rate (slope) of eGFR decline can be used to assess treatment effects on kidney function over time. In the CREDENCE trial, the sodium glucose co-transporter 2 inhibitor canagliflozin slowed the rate of eGFR decline by 60% compared to placebo in patients with diabetes and chronic kidney disease. This analysis utilized eGFR slopes from CREDENCE to estimate the difference in time to dialysis by treatment arm and estimated the economic value of that delay.MethodsA linear decline in eGFR and maintenance of stable therapy were assumed for the canagliflozin and placebo arms in CREDENCE. Mean eGFR over time was calculated using acute (baseline to week 3) and chronic (week 3 onward) slopes. Reaching eGFR of 10 ml/min/1.73 m2 was assumed to represent the need for chronic dialysis. The difference in time to dialysis between treatments was calculated. Based on the average duration of dialysis, annual dialysis costs were determined, discounting 2020 US dollars at an inflation rate of 4%.ResultsFollowing the acute and chronic eGFR slopes, the projected time to dialysis was 22.85 years for canagliflozin and 9.90 years for placebo. Based on 95% confidence intervals from CREDENCE, the model-estimated difference in time to dialysis was 9.27-17.48 years. With a mean baseline participant age of 63 years, the delay in dialysis with canagliflozin would be associated with a reduction in dialysis costs of approximately $170,000 per patient in 2020 dollars.ConclusionUsing clinical trial data, canagliflozin treatment was projected to delay dialysis by approximately 13 years, which could translate to a substantial cost savings. More precise estimates should be investigated with considerations for nonlinear eGFR slope trajectory, competing risks, and patient characteristics.Trial registrationClinicalTrials.gov identifier, NCT02065791.

Dataset Information

A genome-wide search for linkage of estimated glomerular filtration rate (eGFR) in the Family Investigation of Nephropathy and Diabetes (FIND).

Objective

Methods

Results

Conclusion

Publications

A genome-wide search for linkage of estimated glomerular filtration rate (eGFR) in the Family Investigation of Nephropathy and Diabetes (FIND).

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