Literature DB >> 18364721

Primer: strategies for identifying genes involved in renal disease.

Martin H de Borst1, Ariela Benigni, Giuseppe Remuzzi.   

Abstract

The globally increasing number of patients with end-stage renal disease urges the identification of molecular pathways involved in renal pathophysiology, to serve as targets for intervention. Moreover, the identification of genetic risk factors or protective genes can aid tailored therapy. Tools that can be used to identify genes involved in renal disease include gene expression arrays, linkage analysis and association studies. Arrays are a powerful and widely used approach to the analysis of gene transcription and protein expression, whereas linkage analysis and association studies link disease susceptibility to particular genetic regions. Animal models are available to pinpoint the disease-associated genes. Candidate genes so far identified in renal disease include those encoding the podocyte proteins nephrin and podocin, the transcription factor WT1, the calcium channel TRPC6 and the enzyme phospholipase C-epsilon-1 (in congenital nephrotic syndrome and focal segmental glomerulosclerosis), and carnosinase (in diabetic nephropathy). In addition, linkage studies have identified chromosomal regions implicated in systemic lupus erythematosus, diabetic nephropathy and familial IgA nephropathy. Future studies will elucidate the emerging role of epigenetic regulation of gene expression in renal disease.

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Year:  2008        PMID: 18364721     DOI: 10.1038/ncpneph0785

Source DB:  PubMed          Journal:  Nat Clin Pract Nephrol        ISSN: 1745-8323


  9 in total

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Review 2.  Endothelin and the glomerulus in chronic kidney disease.

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Review 3.  Integrating human and rodent data to identify the genetic factors involved in chronic kidney disease.

Authors:  Michael R Garrett; Marcus G Pezzolesi; Ron Korstanje
Journal:  J Am Soc Nephrol       Date:  2010-02-04       Impact factor: 10.121

Review 4.  Defining human diabetic nephropathy on the molecular level: integration of transcriptomic profiles with biological knowledge.

Authors:  Sebastian Martini; Felix Eichinger; Viji Nair; Matthias Kretzler
Journal:  Rev Endocr Metab Disord       Date:  2008-12       Impact factor: 6.514

5.  Variation in genes that regulate blood pressure are associated with glomerular filtration rate in Chinese.

Authors:  May E Montasser; Lawrence C Shimmin; Dongfeng Gu; Jing Chen; Charles Gu; Tanika N Kelly; Cashell E Jaquish; Treva K Rice; Dabeeru C Rao; Jie Cao; Jichun Chen; Paul K Whelton; Lotuce Lee Hamm; Jiang He; James E Hixson
Journal:  PLoS One       Date:  2014-03-21       Impact factor: 3.240

6.  Tissue compartment analysis for biomarker discovery by gene expression profiling.

Authors:  Antoine Disset; Lydie Cheval; Olga Soutourina; Jean-Paul Duong Van Huyen; Guorong Li; Christian Genin; Jacques Tostain; Alexandre Loupy; Alain Doucet; Rabary Rajerison
Journal:  PLoS One       Date:  2009-11-10       Impact factor: 3.240

7.  Pilot study of an association between a common variant in the non-muscle myosin heavy chain 9 (MYH9) gene and type 2 diabetic nephropathy in a Taiwanese population.

Authors:  Chang-Hsun Hsieh; Yi-Jen Hung; Dee Pei; Shi-Wen Kuo; Eugene Lin
Journal:  Appl Clin Genet       Date:  2010-03-16

8.  Association between family members of dialysis patients and chronic kidney disease: a multicenter study in China.

Authors:  Xianglei Kong; Li Liu; Li Zuo; Ping Yuan; Zhongxin Li; Wenge Li; Meishun Cai; Xiangmei Chen; Aili Jiang; Gang Long; Jinsheng Xu; Hongli Lin; Shixiang Wang; Wen Huang; Yiping Wang; Yidan Guo; Po Cao; Hua Wu; Qiang Jia; Luxia Zhang; Mei Wang; Haiyan Wang
Journal:  BMC Nephrol       Date:  2013-01-18       Impact factor: 2.388

9.  5. Hereditary Kidney Disorders.

Authors:  Ana Stavljenić-Rukavina
Journal:  EJIFCC       Date:  2009-04-20
  9 in total

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