Literature DB >> 16769771

Mice, humans and haplotypes--the hunt for disease genes in SLE.

R J Rigby1, M M A Fernando, T J Vyse.   

Abstract

Defining the polymorphisms that contribute to the development of complex genetic disease traits is a challenging, although increasingly tractable problem. Historically, the technical difficulties in conducting association studies across the entire human genome are such that murine models have been used to generate candidate genes for analysis in human complex diseases, such as SLE. In this article we discuss the advantages and disadvantages of this approach and specifically address some assumptions made in the transition from studying one species to another, using lupus as an example. These issues include differences in genetic structure and genetic organisation which are a reflection on the population history. Clearly there are major differences in the histories of the human population and inbred laboratory strains of mice. Both human and murine genomes do exhibit structure at the genetic level. That is to say, they comprise haplotypes which are genomic regions that carry runs of polymorphisms that are not independently inherited. Haplotypes therefore reduce the number of combinations of the polymorphisms in the DNA in that region and facilitate the identification of disease susceptibility genes in both mice and humans. There are now novel means of generating candidate genes in SLE using mutagenesis (with ENU) in mice and identifying mice that generate antinuclear autoimmunity. In addition, murine models still provide a valuable means of exploring the functional consequences of genetic variation. However, advances in technology are such that human geneticists can now screen large fractions of the human genome for disease associations using microchip technologies that provide information on upwards of 100,000 different polymorphisms. These approaches are aimed at identifying haplotypes that carry disease susceptibility mutations and rely less on the generation of candidate genes.

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Year:  2006        PMID: 16769771     DOI: 10.1093/rheumatology/kel088

Source DB:  PubMed          Journal:  Rheumatology (Oxford)        ISSN: 1462-0324            Impact factor:   7.580


  4 in total

1.  Next-generation computational genetic analysis: multiple complement alleles control survival after Candida albicans infection.

Authors:  Gary Peltz; Aimee K Zaas; Ming Zheng; Norma V Solis; Mason X Zhang; Hong-Hsing Liu; Yajing Hu; Gayle M Boxx; Quynh T Phan; David Dill; Scott G Filler
Journal:  Infect Immun       Date:  2011-08-29       Impact factor: 3.441

2.  Linkage disequilibrium decay and haplotype block structure in the pig.

Authors:  Andreia J Amaral; Hendrik-Jan Megens; Richard P M A Crooijmans; Henri C M Heuven; Martien A M Groenen
Journal:  Genetics       Date:  2008-05       Impact factor: 4.562

Review 3.  Current status of lupus genetics.

Authors:  Andrea L Sestak; Swapan K Nath; Amr H Sawalha; John B Harley
Journal:  Arthritis Res Ther       Date:  2007       Impact factor: 5.156

Review 4.  Candidate gene identification approach: progress and challenges.

Authors:  Mengjin Zhu; Shuhong Zhao
Journal:  Int J Biol Sci       Date:  2007-10-25       Impact factor: 6.580

  4 in total

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