Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Autoimmunity Reviewsarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Autoimmunity Reviews
Article . 2011 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
versions View all 2 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Immunogenetics of systemic sclerosis

Authors: P, Dieudé; C, Boileau; Y, Allanore;

Immunogenetics of systemic sclerosis

Abstract

In the field of genetics of SSc, we are currently reaching a period of rapid data production. Several themes are already rising from the first wave of results. First, some genetic variants clearly predispose to multiple autoimmune diseases, thus providing evidence for a shared autoimmune genetic background. Second, multiple genes are involved in the SSc predisposition and as expected the genetic associations are quite modest. Third, unless for a small number of exceptions, the causative genetic variations have not been definitively identified yet. Lastly, to date, the most convincing associations detected relate to genes playing a pivotal role in both innate and adaptative immunity. Indeed, additionally to the MHC, candidate gene studies have convincingly and reproducibly identified PTPN22, IRF5, STAT4, C8orf13-BLK, BANK1 and TNFSF4 as SSc susceptibility genes. Although these results have substantially advanced our understanding of the SSc pathogenesis, both gene-gene and gene-environment studies are now awaited in order to further improve our understanding of this multifacet disease. Finally, we should keep in mind that SSc is a very severe that is until now unfortunately free of effective therapy. Therefore, the identification of new susceptibility genes may offer a rich source of new hypotheses and experimental directions to follow that we should try to assembly in a near future to generate innovative therapies to fight this dramatic disease.

Keywords

Scleroderma, Systemic, Gene Expression, Membrane Proteins, Genetic Pleiotropy, OX40 Ligand, Protein Tyrosine Phosphatase, Non-Receptor Type 22, STAT4 Transcription Factor, Polymorphism, Single Nucleotide, Autoimmune Diseases, Interferon Regulatory Factors, Immunogenetics, Humans, Genetic Predisposition to Disease, Molecular Targeted Therapy, Adaptor Proteins, Signal Transducing

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    38
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
38
Top 10%
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!