| Title |
Perspectives on the Use of Multiple Sclerosis Risk Genes for Prediction
|
|---|---|
| Published in |
PLOS ONE, December 2011
|
| DOI | 10.1371/journal.pone.0026493 |
| Pubmed ID | |
| Authors |
Naghmeh Jafari, Linda Broer, Cornelia M. van Duijn, A. Cecile J. W. Janssens, Rogier Q. Hintzen |
| Abstract |
A recent collaborative genome-wide association study replicated a large number of susceptibility loci and identified novel loci. This increase in known multiple sclerosis (MS) risk genes raises questions about clinical applicability of genotyping. In an empirical set we assessed the predictive power of typing multiple genes. Next, in a modelling study we explored current and potential predictive performance of genetic MS risk models. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| United States | 1 | 33% |
| Australia | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 2% |
| Unknown | 50 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 22% |
| Researcher | 8 | 16% |
| Student > Master | 7 | 14% |
| Student > Bachelor | 4 | 8% |
| Other | 3 | 6% |
| Other | 9 | 18% |
| Unknown | 9 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 25% |
| Medicine and Dentistry | 10 | 20% |
| Biochemistry, Genetics and Molecular Biology | 6 | 12% |
| Computer Science | 2 | 4% |
| Neuroscience | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 11 | 22% |