Literature DB >> 18037607

Breakthroughs in genetic studies of ankylosing spondylitis.

M A Brown1.   

Abstract

Ankylosing spondylitis (AS), the prototypic seronegative arthropathy, is known to be highly heritable, with >90% of the risk of developing the disease determined genetically. As with most common heritable diseases, progress in identifying the genes involved using family-based or candidate gene approaches has been slow. The recent development of the genome-wide association study approach has revolutionized genetic studies of such diseases. Early studies in ankylosing spondylitis have produced two major breakthroughs in the identification of genes contributing roughly one third of the population attributable risk of the disease, and pointing directly to a potential therapy. These exciting findings highlight the potential of future more comprehensive genetic studies of determinants of disease risk and clinical manifestations, and are the biggest advance in our understanding of the causation of the disease since the discovery of the association with HLA-B27.

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Year:  2007        PMID: 18037607     DOI: 10.1093/rheumatology/kem269

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


  38 in total

1.  Four cases of ankylosing spondylitis in medieval skeletal series from Croatia.

Authors:  Mario Slaus; Mario Novak; Mislav Cavka
Journal:  Rheumatol Int       Date:  2011-12-31       Impact factor: 2.631

2.  Analysis on the interaction between IL-1F7 gene and environmental factors on patients with ankylosing spondylitis: a case-only study.

Authors:  Rui Ge; Faming Pan; Fangfang Liao; Guo Xia; Yang Mei; Beibei Shen; Tianchen Zhang; Jing Gao; Li Zhang; Zhenhua Duan; Shengqian Xu; Jianhua Xu
Journal:  Mol Biol Rep       Date:  2010-10-31       Impact factor: 2.316

Review 3.  Wnt/β-catenin signaling plays a key role in the development of spondyloarthritis.

Authors:  Wanqing Xie; Lijiang Zhou; Shan Li; Tianqian Hui; Di Chen
Journal:  Ann N Y Acad Sci       Date:  2015-12-02       Impact factor: 5.691

4.  Endoplasmic reticulum aminopeptidase-1 alleles associated with increased risk of ankylosing spondylitis reduce HLA-B27 mediated presentation of multiple antigens.

Authors:  Sergey S Seregin; David P W Rastall; Irini Evnouchidou; Charles F Aylsworth; Dionisia Quiroga; Ram P Kamal; Sarah Godbehere-Roosa; Christopher F Blum; Ian A York; Efstratios Stratikos; Andrea Amalfitano
Journal:  Autoimmunity       Date:  2013-09-13       Impact factor: 2.815

Review 5.  Genetic association between TAP1 and TAP2 polymorphisms and ankylosing spondylitis: a systematic review and meta-analysis.

Authors:  Yufeng Qian; Genlin Wang; Feng Xue; Lianghui Chen; Yan Wang; Liang Tang; Huilin Yang
Journal:  Inflamm Res       Date:  2017-04-12       Impact factor: 4.575

Review 6.  Revisiting the gut-joint axis: links between gut inflammation and spondyloarthritis.

Authors:  Eric Gracey; Lars Vereecke; Dermot McGovern; Mareike Fröhling; Georg Schett; Silvio Danese; Martine De Vos; Filip Van den Bosch; Dirk Elewaut
Journal:  Nat Rev Rheumatol       Date:  2020-07-13       Impact factor: 20.543

7.  Case-only designs for exploring the interaction between FCRL4 gene and suspected environmental factors in patients with ankylosing spondylitis.

Authors:  Ning Ding; Yanting Hu; Zhen Zeng; Si Liu; Li Liu; Ting Yang; Shanshan Wu; Dazhi Fan; Shengqian Xu; Jianhua Xu; Jing Wang; Faming Pan
Journal:  Inflammation       Date:  2015-04       Impact factor: 4.092

8.  Associations between interleukin-23 receptor polymorphisms and susceptibility to rheumatoid arthritis: a meta-analysis.

Authors:  Gwan Gyu Song; Sang-Cheol Bae; Sung Jae Choi; Jong Dae Ji; Young Ho Lee
Journal:  Mol Biol Rep       Date:  2012-10-05       Impact factor: 2.316

9.  Contribution of functional KIR3DL1 to ankylosing spondylitis.

Authors:  Ivan V Zvyagin; Ilgar Z Mamedov; Olga V Britanova; Dmitriy B Staroverov; Evgeni L Nasonov; Anna G Bochkova; Anna V Chkalina; Alexei A Kotlobay; Dmitriy O Korostin; Denis V Rebrikov; Sergey Lukyanov; Yuri B Lebedev; Dmitriy M Chudakov
Journal:  Cell Mol Immunol       Date:  2010-09-06       Impact factor: 11.530

10.  Optimization of an in-house PCR method for the detection of HLA-B*27 alleles.

Authors:  Noor Afshan; Mukarram Bashir; Hamid Nawaz Tipu; Mohammad Hussain
Journal:  Biomed Rep       Date:  2018-02-01
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