? Diabetic nephropathy (DN) is undoubtedly a multifactoral disease, and a large proportion of patients affected with either type 1 or type 2 diabetes develop diabetic nephropathy and progress to end stage renal disease (ESRD). When poor prognostic factors such as hypertension and chronic hyperglycemia are aggressively treated, the rate of progression of diabetic nephropathy can be slowed. However, no interventions have been shown to reliably halt the progression of diabetic nephropathy. Numerous studies have suggested that genetic predisposition to diabetic nephropathy exists, but genes for nephropathy have not yet been isolated. It is anticipated that a comprehensive analysis of a large number of uniformly phenotyped ESRD families will be necessary to isolated genes for ESRD. Such a database of families may not be available at any single institution. The FIND study has established a centralized Genetic Analysis and Data Coordinating Center (GADCC) that, together with eight participating investigation centers (PICs), three minority recruitment centers, and the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), will use the emerging high-throughput genetic technologies to enable identification of diabetic nephropathy susceptibility or protection genes. The charge of the consortium is to acquire sets of families with well-characterized diabetic nephropathy, establish a secure master FIND database, and perform a genome scan to identify chromosomal regions linked with diabetic nephropathy ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01DK057292-08
Application #
7285710
Study Section
Special Emphasis Panel (ZDK1-GRB-3 (O1))
Program Officer
Rasooly, Rebekah S
Project Start
1999-09-30
Project End
2010-08-31
Budget Start
2007-09-01
Budget End
2008-08-31
Support Year
8
Fiscal Year
2007
Total Cost
$1,175,725
Indirect Cost
Name
Case Western Reserve University
Department
Public Health & Prev Medicine
Type
Schools of Medicine
DUNS #
077758407
City
Cleveland
State
OH
Country
United States
Zip Code
44106
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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
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
Thameem, Farook; Igo Jr, Robert P; Freedman, Barry I et al. (2013) A genome-wide search for linkage of estimated glomerular filtration rate (eGFR) in the Family Investigation of Nephropathy and Diabetes (FIND). PLoS One 8:e81888
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
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
Sivakumaran, Theru A; Igo Jr, Robert P; Kidd, Jeffrey M et al. (2011) A 32 kb critical region excluding Y402H in CFH mediates risk for age-related macular degeneration. PLoS One 6:e25598
Ochs-Balcom, Heather M; Guo, Xiuqing; Yonebayashi, Takashi et al. (2010) Program update and novel use of the DESPAIR program to design a genome-wide linkage study using relative pairs. Hum Hered 69:45-51

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