? End stage renal disease (ESRD) is a major clinical and public health problem, especially in African- Americans. This proposal is a renewal application for the NIH-NIDDK-funded Family Investigation of Diabetes and Nephropathy (FIND), an ongoing multicenter study to identify susceptibility genes for nephropathy. The overall objective of this proposal is to identify novel loci, and ultimately genes, that may partially account for excess risk of ESRD in African Americans compared to whites using Mapping by Admixture Linkage Disequilibrium (MALD) analysis. Our central hypothesis is that some renal disease susceptibility alleles are present at higher frequency in African-Americans than in whites and that specific regions of the genome in African-Americans contain marker alleles that are in admixture linkage disequilibrium with ESRD susceptibility alleles. ? MALD is a specialized form of linkage disequilibrium mapping and will be used to perform a genome-wide association study in approximately 1,500 African-American cases and 1,300 African-American controls from FIND and 250 similarly phenotyped African-American cases from the CHOICE study, also funded by NIH-NIDDK. In this proposal, we are requesting funds to recruit an additional 300 ESRD cases and 300 controls without renal disease to achieve a final sample size of approximately 3,000 cases and controls. ? The Johns Hopkins center differs from other FIND centers which use either a family-based linkage approach or MALD in Mexican Americans. Furthermore, it is the only FIND study site that has recruited nondiabetic ESRD cases, thus providing an opportunity to examine whether susceptibility genes are similar for diabetic and nondiabetic ESRD. Additional recruitment is justified by the need to have an adequate number of cases with nondiabetic ESRD. Genotyping for this study is funded by an RO-1 to Dr. Kao. ? Since FIND began, our team has developed a dense (about 3,000 markers) genome map of highly informative African-American MALD markers as well as new approaches to statistical analysis. The proposed genetic analyses are innovative and complementary to the more traditional linkage techniques used by other FIND study sites. This study will provide key insights into the genetic susceptibility of ESRD. ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01DK057304-07
Application #
7126729
Study Section
Special Emphasis Panel (ZDK1-GRB-3 (O1))
Program Officer
Rasooly, Rebekah S
Project Start
1999-09-30
Project End
2007-08-31
Budget Start
2006-09-01
Budget End
2007-08-31
Support Year
7
Fiscal Year
2006
Total Cost
$152,983
Indirect Cost
Name
Johns Hopkins University
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21218
Williams, Robert C; Elston, Robert C; Kumar, Pankaj et al. (2016) Selecting SNPs informative for African, American Indian and European Ancestry: application to the Family Investigation of Nephropathy and Diabetes (FIND). BMC Genomics 17:325
Hawkins, Gregory A; Friedman, David J; Lu, Lingyi et al. (2015) Re-Sequencing of the APOL1-APOL4 and MYH9 Gene Regions in African Americans Does Not Identify Additional Risks for CKD Progression. Am J Nephrol 42:99-106
Iyengar, Sudha K; Sedor, John R; Freedman, Barry I et al. (2015) Genome-Wide Association and Trans-ethnic Meta-Analysis for Advanced Diabetic Kidney Disease: Family Investigation of Nephropathy and Diabetes (FIND). PLoS Genet 11:e1005352
Ng, Maggie C Y; Shriner, Daniel; Chen, Brian H et al. (2014) Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes. PLoS Genet 10:e1004517
Sandholm, Niina; McKnight, Amy Jayne; Salem, Rany M et al. (2013) Chromosome 2q31.1 associates with ESRD in women with type 1 diabetes. J Am Soc Nephrol 24:1537-43
Bostrom, Meredith A; Kao, W H Linda; Li, Man et al. (2012) Genetic association and gene-gene interaction analyses in African American dialysis patients with nondiabetic nephropathy. Am J Kidney Dis 59:210-21
Sozio, Stephen M; Coresh, Josef; Jaar, Bernard G et al. (2011) Inflammatory markers and risk of cerebrovascular events in patients initiating dialysis. Clin J Am Soc Nephrol 6:1292-300
Igo Jr, Robert P; Iyengar, Sudha K; Nicholas, Susanne B et al. (2011) Genomewide linkage scan for diabetic renal failure and albuminuria: the FIND study. Am J Nephrol 33:381-9
Atkinson, Meredith A; Oberai, Pooja C; Neu, Alicia M et al. (2010) Predictors and consequences of higher estimated glomerular filtration rate at dialysis initiation. Pediatr Nephrol 25:1153-61
Estrella, Michelle M; Sperati, Chistopher J; Kao, Wen H L et al. (2010) Genetic epidemiology of chronic kidney disease. Curr Opin Nephrol Hypertens 19:283-91

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