Novel risk genes for systemic lupus erythematosus predicted by random forest classification

Genome-wide association studies have identified risk loci for SLE, but a large proportion of the genetic contribution to SLE still remains unexplained. To detect novel risk genes, and to predict an individual’s SLE risk we designed a random forest classifier using SNP genotype data generated on the...

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Detalles Bibliográficos
Autores principales: Almlöf, Jonas Carlsson, Alexsson, Andrei, Imgenberg-Kreuz, Juliana, Sylwan, Lina, Bäcklin, Christofer, Leonard, Dag, Nordmark, Gunnel, Tandre, Karolina, Eloranta, Maija-Leena, Padyukov, Leonid, Bengtsson, Christine, Jönsen, Andreas, Dahlqvist, Solbritt Rantapää, Sjöwall, Christopher, Bengtsson, Anders A., Gunnarsson, Iva, Svenungsson, Elisabet, Rönnblom, Lars, Sandling, Johanna K., Syvänen, Ann-Christine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5524838/
https://www.ncbi.nlm.nih.gov/pubmed/28740209
http://dx.doi.org/10.1038/s41598-017-06516-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5524838/
https://www.ncbi.nlm.nih.gov/pubmed/28740209
http://dx.doi.org/10.1038/s41598-017-06516-1

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