Integrating genetic risk factors into a clinical algorithm for multiple sclerosis susceptibility

BACKGROUND: Predicting susceptibility to multiple sclerosis may have important clinical applications either as part of a diagnostic algorithm or as a tool with which to identify high-risk individuals for prospective studies. Here, we examine the utility of an aggregate measure of risk of multiple sc...

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Bibliografische gegevens
Hoofdauteurs: De Jager, Philip L., Chibnik, Lori B., Cui, Jing, Reischl, Joachim, Lehr, Stephan, Simon, K. Claire, Aubin, Cristin, Bauer, David, Heubach, Jürgen F., Sandbrink, Rupert, Tyblova, Michaela, Lelkova, Petra, Havrdova, Eva, Pohl, Christoph, Horakova, Dana, Ascherio, Alberto, Hafler, David A., Karlson, Elizabeth W.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2009
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Article
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3099419/
https://ncbi.nlm.nih.gov/pubmed/19879194
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/S1474-4422(09)70275-3
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