Literature DB >> 18525349

The contribution of genes outside the major histocompatibility complex to susceptibility to ankylosing spondylitis.

Tamar F Brionez1, John D Reveille.   

Abstract

PURPOSE OF REVIEW: Recent data have presented several new nonmajor histocompatibility complex genes in predisposition to ankylosing spondylitis, which will be summarized here. RECENT
FINDINGS: A retrospective meta-analysis of three previous whole genome linkage scans confirmed a strong linkage at chromosome 16q and moderate linkage at sites on chromosomes 3, 10, and 19q, and a meta-analysis of studies of the interleukin-1 (IL-1) region genes in ankylosing spondylitis suggested the susceptibility to be conferred by the IL-1A gene. More recently, the use of genotyping chips, derived from the International Hapmap resource, which provides an extensive genomic coverage of large disease cohorts, have made it possible to conduct successful genome-wide association studies. One such study has led to the identification and validation of two new genes, IL23R and ARTS1, in ankylosing spondylitis pathogenesis.
SUMMARY: A tremendous amount of progress has been made with respect to understanding the genetic basis of ankylosing spondylitis. The recent identification of two new genes, ARTS1 and IL23R, and confirmation of IL-1A association further substantiate that ankylosing spondylitis is determined to a large extent by genes outside the major histocompatibility complex.

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Year:  2008        PMID: 18525349     DOI: 10.1097/BOR.0b013e32830460fe

Source DB:  PubMed          Journal:  Curr Opin Rheumatol        ISSN: 1040-8711            Impact factor:   5.006


  12 in total

Review 1.  Recent studies on the genetic basis of ankylosing spondylitis.

Authors:  John D Reveille
Journal:  Curr Rheumatol Rep       Date:  2009-10       Impact factor: 4.592

2.  ANTXR2 and IL-1R2 polymorphisms are not associated with ankylosing spondylitis in Chinese Han population.

Authors:  Chao Chen; Xuesong Zhang; Yan Wang
Journal:  Rheumatol Int       Date:  2010-07-21       Impact factor: 2.631

3.  What epidemiology has told us about risk factors and aetiopathogenesis in rheumatic diseases.

Authors:  Jacqueline E Oliver; Alan J Silman
Journal:  Arthritis Res Ther       Date:  2009-05-19       Impact factor: 5.156

4.  Usage of Conventional PCR Technology for the Detection of HLA-B27 Allele: A Significant Molecular Marker of Ankylosing Spondylitis.

Authors:  Narotam Sharma; Veena Sharma; Tariq Masood; Satish Chandra Nautiyal; Shivani Sailwal; Rajesh K Singh; Rajeev K Kushwaha; R K Singh
Journal:  Indian J Clin Biochem       Date:  2012-09-26

Review 5.  Regulation of interleukin-12/interleukin-23 production and the T-helper 17 response in humans.

Authors:  Lyudmila Lyakh; Giorgio Trinchieri; Lisa Provezza; Giuseppe Carra; Franca Gerosa
Journal:  Immunol Rev       Date:  2008-12       Impact factor: 12.988

6.  Whole blood transcriptional profiling in ankylosing spondylitis identifies novel candidate genes that might contribute to the inflammatory and tissue-destructive disease aspects.

Authors:  Fernando M Pimentel-Santos; Dário Ligeiro; Mafalda Matos; Ana F Mourão; José Costa; Helena Santos; Anabela Barcelos; Fátima Godinho; Patricia Pinto; Margarida Cruz; João E Fonseca; Henrique Guedes-Pinto; Jaime C Branco; Matthew A Brown; Gethin P Thomas
Journal:  Arthritis Res Ther       Date:  2011-04-07       Impact factor: 5.156

7.  A Genome-Wide SNP Linkage Analysis Suggests a Susceptibility Locus on 6p21 for Ankylosing Spondylitis and Inflammatory Back Pain Trait.

Authors:  Yanli Zhang; Zetao Liao; Qiujing Wei; Yunfeng Pan; Xinwei Wang; Shuangyan Cao; Zishi Guo; Yuqiong Wu; Ju Rong; Ou Jin; Manlong Xu; Zhiming Lin; Jieruo Gu
Journal:  PLoS One       Date:  2016-12-14       Impact factor: 3.240

8.  Evaluation of the comorbidity burden in patients with ankylosing spondylitis treated with tumour necrosis factor inhibitors using a large administrative claims data set.

Authors:  Jessica A Walsh; Xue Song; Gilwan Kim; Yujin Park
Journal:  J Pharm Health Serv Res       Date:  2018-01-16

9.  Predicting pathway cross-talks in ankylosing spondylitis through investigating the interactions among pathways.

Authors:  Xiang Gu; Cong-Jian Liu; Jian-Jie Wei
Journal:  Braz J Med Biol Res       Date:  2017-11-13       Impact factor: 2.590

10.  Co-expression Network Analysis Reveals Key Genes Related to Ankylosing spondylitis Arthritis Disease: Computational and Experimental Validation.

Authors:  Leila Najafzadeh; Mahdi Mahmoudi; Mostafa Ebadi; Marzieh Dehghan Shasaltaneh
Journal:  Iran J Biotechnol       Date:  2021-01-01       Impact factor: 1.671

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