Genetic Studies of IgA Nephropathy

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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.

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Most cited references 18

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Association of NOD2 leucine-rich repeat variants with susceptibility to Crohn's disease.

J Hugot, M Chamaillard, H Zouali … (2001)

Crohn's disease and ulcerative colitis, the two main types of chronic inflammatory bowel disease, are multifactorial conditions of unknown aetiology. A susceptibility locus for Crohn's disease has been mapped to chromosome 16. Here we have used a positional-cloning strategy, based on linkage analysis followed by linkage disequilibrium mapping, to identify three independent associations for Crohn's disease: a frameshift variant and two missense variants of NOD2, encoding a member of the Apaf-1/Ced-4 superfamily of apoptosis regulators that is expressed in monocytes. These NOD2 variants alter the structure of either the leucine-rich repeat domain of the protein or the adjacent region. NOD2 activates nuclear factor NF-kB; this activating function is regulated by the carboxy-terminal leucine-rich repeat domain, which has an inhibitory role and also acts as an intracellular receptor for components of microbial pathogens. These observations suggest that the NOD2 gene product confers susceptibility to Crohn's disease by altering the recognition of these components and/or by over-activating NF-kB in monocytes, thus documenting a molecular model for the pathogenic mechanism of Crohn's disease that can now be further investigated.

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Genome-wide association studies: theoretical and practical concerns.

William Wang, Bryan Barratt, David G Clayton … (2005)

To fully understand the allelic variation that underlies common diseases, complete genome sequencing for many individuals with and without disease is required. This is still not technically feasible. However, recently it has become possible to carry out partial surveys of the genome by genotyping large numbers of common SNPs in genome-wide association studies. Here, we outline the main factors - including models of the allelic architecture of common diseases, sample size, map density and sample-collection biases - that need to be taken into account in order to optimize the cost efficiency of identifying genuine disease-susceptibility loci.

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Population stratification and spurious allelic association.

Lon Cardon, Lyle J Palmer (2003)

Great efforts and expense have been expended in attempts to detect genetic polymorphisms contributing to susceptibility to complex human disease. Concomitantly, technology for detection and scoring of single nucleotide polymorphisms (SNPs) has undergone rapid development, extensive catalogues of SNPs across the genome have been constructed, and SNPs have been increasingly used as a means for investigation of the genetic causes of complex human diseases. For many diseases, population-based studies of unrelated individuals--in which case-control and cohort studies serve as standard designs for genetic association analysis--can be the most practical and powerful approach. However, extensive debate has arisen about optimum study design, and considerable concern has been expressed that these approaches are prone to population stratification, which can lead to biased or spurious results. Over the past decade, a great shift has been noted, away from case-control and cohort studies, towards family-based association designs. These designs have fewer problems with population stratification but have greater genotyping and sampling requirements, and data can be difficult or impossible to gather. We discuss past evidence for population stratification on genotype-phenotype association studies, review methods to detect and account for it, and present suggestions for future study design and analysis.

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Author and article information

Journal

Journal ID (publisher-id): NEE

Journal ID (nlm-ta): Nephron Exp Nephrol

Journal ID (doi): 10.1159/issn.1660-2129

Title: Cardiorenal Medicine

Publisher: S. Karger AG

ISSN (Electronic): 1660-2129

Publication date Subscription-year: 2006

Publication date (Print): February 2006

Publication date (Electronic): 11 November 2005

Volume: 102

Issue: 3-4

Pages: e76-e80

Affiliations

^aRenal Section, Hammersmith Hospital, Imperial College, London, UK; ^bDepartment of Medical Genetics, Zhongshan Medical College, Guangzhou, PR China

Article

Publisher ID: 89685 Other ID: Nephron Exp Nephrol 2006;102:e76–e80

DOI: 10.1159/000089685

PubMed ID: 16282702

SO-VID: c7886492-f687-4f22-90c9-79abfdd072e1

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Genetic Studies of IgA Nephropathy

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Abstract

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Karger: Nephrology

Most cited references 18

Association of NOD2 leucine-rich repeat variants with susceptibility to Crohn's disease.

Genome-wide association studies: theoretical and practical concerns.

Population stratification and spurious allelic association.

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