نتایج جستجو برای: receptor 22 ptpn22

تعداد نتایج: 790456  

2015
Yongheng Chen Chunxia Chen Zhe Zhang Chun-Chi Liu Matthew E. Johnson Celso A. Espinoza Lee E. Edsall Bing Ren Xianghong Jasmine Zhou Struan F.A. Grant Andrew D. Wells Lin Chen

FOXP3 is a lineage-specific transcription factor that is required for regulatory T cell development and function. In this study, we determined the crystal structure of the FOXP3 forkhead domain bound to DNA. The structure reveals that FOXP3 can form a stable domain-swapped dimer to bridge DNA in the absence of cofactors, suggesting that FOXP3 may play a role in long-range gene interactions. To ...

Journal: :BMC Proceedings 2007
Mathieu Bourgey Hervé Perdry Françoise Clerget-Darpoux

In order to model the effect of PTPN22 on rheumatoid arthritis (RA), we determined the combination of single-nucleotide-polymorphisms (SNPs) showing the strongest association with RA. Three SNPs (rs2476601-rs12730735-rs11102685) were selected for which we estimated the genotypic relative risks (GRRs) of the corresponding genotypes. On the basis of these GRRs we defined four at-risk genotypic cl...

2009
Bo Qiao Chien Hsun Huang Lei Cong Jun Xie Shaw-Hwa Lo Tian Zheng

The genes PTPN22 and HLA-DRB1 have been found by a number of studies to confer an increased risk for rheumatoid arthritis (RA), which indicates that both genes play an important role in RA etiology. It is believed that they not only have strong association with RA individually, but also interact with other related genes that have not been found to have predisposing RA mutations. In this paper, ...

2009
Xiaoqi Cui Qiuying Sha Shuanglin Zhang Huann-Sheng Chen

Rheumatoid arthritis is inherited in a complex manner. So far several single susceptibility genes, such as PTPN22, STAT4, and TRAF1-C5, have been identified. However, it is presumed that some genes may interact to have a significant effect on the disease, while each of them only plays a modest role. We propose a new combinatorial association test to detect the gene-gene interaction in the rheum...

Journal: :PloS one 2016
Lucia Vernerova Frantisek Spoutil Miroslav Vlcek Katarina Krskova Adela Penesova Milada Meskova Andrea Marko Katarina Raslova Branislav Vohnout Jozef Rovensky Zdenko Killinger Ivana Jochmanova Ivica Lazurova Guenter Steiner Josef Smolen Richard Imrich

INTRODUCTION The aim of the study was to analyse genetic architecture of RA by utilizing multiparametric statistical methods such as linear discriminant analysis (LDA) and redundancy analysis (RDA). METHODS A total of 1393 volunteers, 499 patients with RA and 894 healthy controls were included in the study. The presence of shared epitope (SE) in HLA-DRB1 and 11 SNPs (PTPN22 C/T (rs2476601), S...

Journal: :The New England journal of medicine 2007
Robert M Plenge Mark Seielstad Leonid Padyukov Annette T Lee Elaine F Remmers Bo Ding Anthony Liew Houman Khalili Alamelu Chandrasekaran Leela R L Davies Wentian Li Adrian K S Tan Carine Bonnard Rick T H Ong Anbupalam Thalamuthu Sven Pettersson Chunyu Liu Chao Tian Wei V Chen John P Carulli Evan M Beckman David Altshuler Lars Alfredsson Lindsey A Criswell Christopher I Amos Michael F Seldin Daniel L Kastner Lars Klareskog Peter K Gregersen

BACKGROUND Rheumatoid arthritis has a complex mode of inheritance. Although HLA-DRB1 and PTPN22 are well-established susceptibility loci, other genes that confer a modest level of risk have been identified recently. We carried out a genomewide association analysis to identify additional genetic loci associated with an increased risk of rheumatoid arthritis. METHODS We genotyped 317,503 single...

2009
Zhong-Yin Zhang Andrew Funk Jane H. Buckner Adrian F. Arechiga Tania Habib Yantao He Xian Zhang

2016
Wen-Hua Wei John Bowes Darren Plant Sebastien Viatte Annie Yarwood Jonathan Massey Jane Worthington Stephen Eyre

Genotypic variability based genome-wide association studies (vGWASs) can identify potentially interacting loci without prior knowledge of the interacting factors. We report a two-stage approach to make vGWAS applicable to diseases: firstly using a mixed model approach to partition dichotomous phenotypes into additive risk and non-additive environmental residuals on the liability scale and secon...

2010
Vasanth Konda Mohan Nalini Ganesan Rajasekhar Gopalakrishnan Vasanthi Pallinti Vettriselvi Venkatesan

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