Genetics of Diabetic Nephropathy: Are There Clues to the Understanding of Common Kidney Diseases?

B. R. Conway, A. P. Maxwell

Research output: Contribution to journalLiterature reviewpeer-review

Abstract / Description of output

Diabetic nephropathy is the most common cause of end-stage renal disease in the Western world. There is evidence for a genetic susceptibility to diabetic kidney disease, but despite intensive research efforts it has proved difficult to identify the causative genes. Improvements in genotyping technologies have made genome-wide association studies (GWAS), employing hundreds of thousands of single nucleotide polymorphisms, affordable. Recently, such scans have advanced understanding of the genetics of common complex diseases, finding more than 100 novel susceptibility variants for diverse disorders including type 1 and 2 diabetes, coronary heart disease, Crohn's disease and rheumatoid arthritis. In this review, type 2 diabetes is highlighted to illustrate how genome-wide association studies have been used to study the genetics of complex multifactorial conditions; in addition, diabetic nephropathy will be used to demonstrate how similar scans could be employed to detect genetic factors predisposing to kidney disease. The identification of such variants would permit early identification of at-risk patients, enabling targeting of therapy and a move towards primary prevention. In addition, these powerful research methodologies may identify genes that were not previously known to predispose to nephropathy, thereby enhancing our understanding of the pathophysiology of renal disorders and potentially leading to novel therapeutic approaches. Copyright (C) 2009 S. Karger AG, Basel

Original languageEnglish
Pages (from-to)C213-C220
Number of pages8
JournalNephron Clinical Practice
Volume112
Issue number4
DOIs
Publication statusPublished - 2009

Fingerprint

Dive into the research topics of 'Genetics of Diabetic Nephropathy: Are There Clues to the Understanding of Common Kidney Diseases?'. Together they form a unique fingerprint.

Cite this