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Lack of replication of interactions between polymorphisms in rheumatoid arthritis susceptibility: case–control study

Overview of attention for article published in Arthritis Research & Therapy, September 2014
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Title
Lack of replication of interactions between polymorphisms in rheumatoid arthritis susceptibility: case–control study
Published in
Arthritis Research & Therapy, September 2014
DOI 10.1186/s13075-014-0436-x
Pubmed ID
Authors

Aida Ferreiro-Iglesias, Manuel Calaza, Eva Perez-Pampin, Francisco J Lopez Longo, Jose L Marenco, Francisco J Blanco, Javier Narvaez, Federico Navarro, Juan D Cañete, Arturo R de la Serna, Isidoro Gonzalez-Alvaro, Gabriel Herrero-Beaumont, Jose L Pablos, Alejandro Balsa, Benjamin Fernandez-Gutierrez, Rafael Caliz, Juan J Gomez-Reino, Antonio Gonzalez

Abstract

Approximately 100 loci have been definitively associated with rheumatoid arthritis (RA) susceptibility. However, they explain only a fraction of RA heritability. Interactions between polymorphisms could explain part of the remaining heritability. Multiple interactions have been reported, but only the shared epitope (SE) × protein tyrosine phosphatase nonreceptor type 22 (PTPN22) interaction has been replicated convincingly. Two recent studies deserve attention because of their quality, including their replication in a second sample collection. In one of them, researchers identified interactions between PTPN22 and seven single-nucleotide polymorphisms (SNPs). The other showed interactions between the SE and the null genotype of glutathione S-transferase Mu 1 (GSTM1) in the anti-cyclic citrullinated peptide-positive (anti-CCP+) patients. In the present study, we aimed to replicate association with RA susceptibility of interactions described in these two high-quality studies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 9%
South Africa 1 4%
Unknown 20 87%

Demographic breakdown

Readers by professional status Count As %
Other 4 17%
Researcher 4 17%
Professor 2 9%
Student > Master 2 9%
Student > Ph. D. Student 1 4%
Other 2 9%
Unknown 8 35%
Readers by discipline Count As %
Medicine and Dentistry 9 39%
Agricultural and Biological Sciences 3 13%
Biochemistry, Genetics and Molecular Biology 2 9%
Psychology 1 4%
Unknown 8 35%