Title |
Genome-wide association analysis of anti-TNF drug response in patients with rheumatoid arthritis
|
---|---|
Published in |
Annals of the Rheumatic Diseases, December 2012
|
DOI | 10.1136/annrheumdis-2012-202405 |
Pubmed ID | |
Authors |
Maša Umiċeviċ Mirkov, Jing Cui, Sita H Vermeulen, Eli A Stahl, Erik J M Toonen, Remco R Makkinje, Annette T Lee, Tom W J Huizinga, Renee Allaart, Anne Barton, Xavier Mariette, Corinne Richard Miceli, Lindsey A Criswell, Paul P Tak, Niek de Vries, Saedis Saevarsdottir, Leonid Padyukov, S Louis Bridges, Dirk-Jan van Schaardenburg, Tim L Jansen, Ellen A J Dutmer, Mart A F J van de Laar, Pilar Barrera, Timothy R D J Radstake, Piet L C M van Riel, Hans Scheffer, Barbara Franke, Han G Brunner, Robert M Plenge, Peter K Gregersen, Henk-Jan Guchelaar, Marieke J H Coenen |
Abstract |
Treatment strategies blocking tumour necrosis factor (anti-TNF) have proven very successful in patients with rheumatoid arthritis (RA). However, a significant subset of patients does not respond for unknown reasons. Currently, there are no means of identifying these patients before treatment. This study was aimed at identifying genetic factors predicting anti-TNF treatment outcome in patients with RA using a genome-wide association approach. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 25% |
India | 1 | 25% |
Australia | 1 | 25% |
Peru | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Scientists | 1 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Denmark | 1 | <1% |
France | 1 | <1% |
Germany | 1 | <1% |
Thailand | 1 | <1% |
Unknown | 101 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 22 | 21% |
Researcher | 22 | 21% |
Student > Master | 11 | 10% |
Other | 10 | 10% |
Professor > Associate Professor | 6 | 6% |
Other | 20 | 19% |
Unknown | 14 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 41 | 39% |
Agricultural and Biological Sciences | 13 | 12% |
Biochemistry, Genetics and Molecular Biology | 12 | 11% |
Pharmacology, Toxicology and Pharmaceutical Science | 4 | 4% |
Computer Science | 3 | 3% |
Other | 12 | 11% |
Unknown | 20 | 19% |