Mining the genome for susceptibility to diabetic nephropathy: the role of large-scale studies and consortia.

Mining the genome for susceptibility to diabetic nephropathy: the role of large-scale studies and consortia. Research Abstract Details 

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Mining the genome for susceptibility to diabetic nephropathy: the role of large-scale studies and consortia. Abstract Text:

Sudha K Iyengar,Barry I Freedman,John R Sedor,

Approximately 30% of individuals with type 1 and type 2 diabetes develop persistent albuminuria, lose renal function, and are at increased risk for cardiovascular and other microvascular complications. Diabetes and kidney diseases rank within the top 10 causes of death in Westernized countries and cause significant morbidity. Given these observations, genetic, genomic, and proteomic investigations have been initiated to better define basic mechanisms for disease initiation and progression, to identify individuals at risk for diabetic complications, and to develop more efficacious therapies. In this review we have focused on linkage analyses of candidate genes or chromosomal regions, or coarse genome-wide scans, which have mapped either categorical (chronic kidney disease or end-stage renal disease) or quantitative kidney traits (albuminuria/proteinuria or glomerular filtration rate). Most loci identified to date have not been replicated, however, several linked chromosomal regions are concordant between independent samples, suggesting the presence of a diabetic nephropathy gene. Two genes, carnosinase (CNDP1) on 18q, and engulfment and cell motility 1 (ELMO1) on 7p14, have been identified as diabetic nephropathy susceptibility genes, but these results require authentication. The availability of patient data sets with large sample sizes, improvements in informatics, genotyping technology, and statistical methodologies should accelerate the discovery of valid diabetic nephropathy susceptibility genes.

Mining the genome for susceptibility to diabetic nephropathy: the role of large-scale studies and consortia. Publishing Authors By Initials

SK Iyengar,BI Freedman,JR Sedor,

For similar diagnosis: prognosis research abstracts see: diagnosis: prognosis research

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Mining the genome for susceptibility to diabetic nephropathy: the role of large-scale studies and consortia. Journal Published:

PUBLICATION TYPE: Review

Journal: Seminars in nephrology

VOLUME: 27

Page Numbers: 208-22

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ISSN: 0270-9295

DAY: 3

MONTH: Mar

YEAR: 2007

Mining the genome for susceptibility to diabetic nephropathy: the role of large-scale studies and consortia. Information

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LANGUAGE: eng

NlmUniqueID: 8110298

Mining the genome for susceptibility to diabetic nephropathy: the role of large-scale studies and consortia. Keywords Mesh Terms:

KEYWORDS: Prognosis

MESH TERMS: genetics

Chemical & Substance for Abstract: Mining the genome for susceptibility to diabetic nephropathy: the role of large-scale studies and consortia. Information

Substance Name: aminoacyl-histidine dipeptidase

Registry Number: EC 3.4.13.3

Grant and Affiliation Information for Mining the genome for susceptibility to diabetic nephropathy: the role of large-scale studies and consortia.

AFFILIATION: Department of Epidemiology and Biostatistics, Case Western Reserve University, 2103 Cornell Road, Cleveland, OH 44106, USA. ski@case.edu

Country: United States

AGENCY: United States NIDDK

GRANT: U01 DK 57298

ACRONYM: DK

MEDLINETA: Semin Nephrol

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