This subproject is one of many research subprojects utilizing theresources provided by a Center grant funded by NIH/NCRR. The subproject andinvestigator (PI) may have received primary funding from another NIH source,and thus could be represented in other CRISP entries. The institution listed isfor the Center, which is not necessarily the institution for the investigator.The major goals of the Family Investigation of Nephropathy and Diabetes (FIND) study are to acquire sets of families as well as case-control sets with well-characterized diabetic nephropathy, establish a secure master database, and to localize and identify genes that influence susceptibility to diabetic nephropathy and end stage renal disease. FIND recruits European American (EA), African American (AA), Mexican American (MA) and American Indian (AI) populations to assess genetic contributions that may be specific to various populations. Genetic strategies include genome-wide linkage analyses and Mapping by Admixture Linkage Disequilibrium (MALD). In addition, most of the clinical centers conduct a separate sub-study for diabetic retinopathy. Enrollment of new families for the genome-wide linkage analyses is closed as of 2005. Enrollment of AA and MA case control sets was completed in February 2007. In the years of the recruitment phase for both the family and case-control studies the FIND study screened more than 9500 participants. In order to determine enrollment eligibility, Medical Record Review, Self Reported Medical Questionnaire and biochemical results were reviewed. More than 8600 provided biological samples (blood and urine) for biochemical assay and genetic analysis. B-cells, serum, plasma and urine have been preserved in an archive for future studies. Identification of genes that influence susceptibility to diabetic nephropathy and/or kidney failure will lead to a better understanding of how serious kidney disease develops. This should eventually lead to improved treatment and prevention. Currently, the FIND study is performing genotyping and data analysis on the datasets collected.
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