Primer: strategies for identifying genes involved in renal disease

被引:16
作者
de Borst, Martin H. [1 ]
Benigni, Ariela [1 ]
Remuzzi, Giuseppe [1 ]
机构
[1] Mario Negri Inst Pharmacol Res, I-24125 Bergamo, Italy
来源
NATURE CLINICAL PRACTICE NEPHROLOGY | 2008年 / 4卷 / 05期
关键词
candidate gene; epigenetic regulation; genetic analysis; microarray; quantitative trait locus;
D O I
10.1038/ncpneph0785
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页码:265 / 276
页数:12
相关论文
共 116 条
[1]   Analysis of shotgun proteomics and RNA profiling data from Arabidopsis thaliana chloroplasts [J].
Baginsky, S ;
Kleffmann, T ;
von Zychlinski, A ;
Gruissem, W .
JOURNAL OF PROTEOME RESEARCH, 2005, 4 (02) :637-640
[2]   Experimental comparison and cross-validation of the Affymetrix and Illumina gene expression analysis platforms [J].
Barnes, M ;
Freudenberg, J ;
Thompson, S ;
Aronow, B ;
Pavlidis, P .
NUCLEIC ACIDS RESEARCH, 2005, 33 (18) :5914-5923
[3]   CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING [J].
BENJAMINI, Y ;
HOCHBERG, Y .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) :289-300
[4]   Genetic heterogeneity in Italian families with IgA nephropathy: Suggestive linkage for two novel IgA nephropathy loci [J].
Bisceglia, Luigi ;
Cerullo, Giuseppina ;
Forabosco, Paola ;
Torres, Diletta Domenica ;
Scolari, Francesco ;
Di Perna, Michele ;
Foramitti, Marina ;
Amoroso, Antonio ;
Bertok, Sara ;
Floege, Juergen ;
Mertens, Peter Rene ;
Zerres, Klaus ;
Alexopoulos, Efstathios ;
Kirmizis, Dimitrios ;
Ermelinda, Mazzucco ;
Zelante, Leopoldo ;
Schena, Francesco Paolo .
AMERICAN JOURNAL OF HUMAN GENETICS, 2006, 79 (06) :1130-1134
[5]   Discovering genotypes underlying human phenotypes: past successes for mendelian disease, future approaches for complex disease [J].
Botstein, D ;
Risch, N .
NATURE GENETICS, 2003, 33 (Suppl 3) :228-237
[6]   NPHS2, encoding the glomerular protein podocin, is mutated in autosomal recessive steroid-resistant nephrotic syndrome [J].
Boute, N ;
Gribouval, O ;
Roselli, S ;
Benessy, F ;
Lee, H ;
Fuchshuber, A ;
Dahan, K ;
Gubler, MC ;
Niaudet, P ;
Antignac, C .
NATURE GENETICS, 2000, 24 (04) :349-354
[7]   Evaluation of DNA microarray results with quantitative gene expression platforms [J].
Canales, Roger D. ;
Luo, Yuling ;
Willey, James C. ;
Austermiller, Bradley ;
Barbacioru, Catalin C. ;
Boysen, Cecilie ;
Hunkapiller, Kathryn ;
Jensen, Roderick V. ;
Knight, Charles R. ;
Lee, Kathleen Y. ;
Ma, Yunqing ;
Maqsodi, Botoul ;
Papallo, Adam ;
Peters, Elizabeth Herness ;
Poulter, Karen ;
Ruppel, Patricia L. ;
Samaha, Raymond R. ;
Shi, Leming ;
Yang, Wen ;
Zhang, Lu ;
Goodsaid, Federico M. .
NATURE BIOTECHNOLOGY, 2006, 24 (09) :1115-1122
[8]   Genetics of HUS:: the impact of MCP, CFH, and IF mutations on clinical presentation, response to treatment, and outcome [J].
Caprioli, Jessica ;
Noris, Marina ;
Brioschi, Simona ;
Pianetti, Gaia ;
Castelletti, Federica ;
Bettinaglio, Paola ;
Mele, Caterina ;
Bresin, Elena ;
Cassis, Linda ;
Gamba, Sara ;
Porrati, Francesca ;
Bucchioni, Sara ;
Monteferrante, Giuseppe ;
Fang, Celia J. ;
Liszewski, M. K. ;
Kavanagh, David ;
Atkinson, John P. ;
Remuzzi, Giuseppe .
BLOOD, 2006, 108 (04) :1267-1279
[9]   X-inactivation profile reveals extensive variability in X-linked gene expression in females [J].
Carrel, L ;
Willard, HF .
NATURE, 2005, 434 (7031) :400-404
[10]   A panoramic view of gene expression in the human kidney [J].
Chabardès-Garonne, D ;
Méjean, A ;
Aude, JC ;
Cheval, L ;
Di Stefano, A ;
Gaillard, MC ;
Imbert-Teboul, M ;
Wittner, M ;
Balian, C ;
Anthouard, V ;
Roberts, C ;
Ségurens, B ;
Wincker, P ;
Weissenbach, J ;
Doucet, A ;
Elalouf, JM .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2003, 100 (23) :13710-13715