Literature DB >> 16282702

Genetic studies of IgA nephropathy.

Patrick H Maxwell1, Yiming Wang.   

Abstract

IgA nephropathy is the commonest form of glomerulonephritis worldwide, but we still know relatively little about its pathogenesis. Potentially, genetic studies might provide new insights and suggest novel therapeutic approaches to this important cause of chronic kidney disease. Two approaches that are likely to yield new information are analysis of multiply affected pedigrees and large-scale, well-controlled association studies. 2006 S. Karger AG, Basel.

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Mesh:

Year:  2005        PMID: 16282702     DOI: 10.1159/000089685

Source DB:  PubMed          Journal:  Nephron Exp Nephrol        ISSN: 1660-2129


  5 in total

1.  HLA has strongest association with IgA nephropathy in genome-wide analysis.

Authors:  John Feehally; Martin Farrall; Anne Boland; Daniel P Gale; Ivo Gut; Simon Heath; Ashish Kumar; John F Peden; Patrick H Maxwell; David L Morris; Sandosh Padmanabhan; Timothy J Vyse; Anna Zawadzka; Andrew J Rees; Mark Lathrop; Peter J Ratcliffe
Journal:  J Am Soc Nephrol       Date:  2010-07-01       Impact factor: 10.121

2.  DQB1*060101 may contribute to susceptibility to immunoglobulin A nephropathy in southern Han Chinese.

Authors:  Wei Wang; Ming Li; Li Wang; Xueqing Yu
Journal:  Front Med       Date:  2016-12-23       Impact factor: 4.592

3.  Genome-wide association study of IgA nephropathy using 23 465 microsatellite markers in a Japanese population.

Authors:  Sanae Saka; Nobuhito Hirawa; Akira Oka; Keisuke Yatsu; Takeshi Hirukawa; Ryohei Yamamoto; Taiji Matsusaka; Enyu Imai; Ichiei Narita; Masayuki Endoh; Iekuni Ichikawa; Satoshi Umemura; Hidetoshi Inoko
Journal:  J Hum Genet       Date:  2015-07-23       Impact factor: 3.172

4.  Human leukocyte antigen DRB1 alleles predict risk and disease progression of immunoglobulin A nephropathy in Han Chinese.

Authors:  Hui-Xia Cao; Ming Li; Jing Nie; Wie Wang; Shu-Feng Zhou; Xue-Qing Yu
Journal:  Am J Nephrol       Date:  2008-03-26       Impact factor: 3.754

Review 5.  How benign is hematuria? Using genetics to predict prognosis.

Authors:  Daniel P Gale
Journal:  Pediatr Nephrol       Date:  2013-01-17       Impact factor: 3.714

  5 in total

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