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

Abstract 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 generate...

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Bibliographic Details
Main Authors: Jonas Carlsson Almlöf, Andrei Alexsson, Juliana Imgenberg-Kreuz, Lina Sylwan, Christofer Bäcklin, Dag Leonard, Gunnel Nordmark, Karolina Tandre, Maija-Leena Eloranta, Leonid Padyukov, Christine Bengtsson, Andreas Jönsen, Solbritt Rantapää Dahlqvist, Christopher Sjöwall, Anders A. Bengtsson, Iva Gunnarsson, Elisabet Svenungsson, Lars Rönnblom, Johanna K. Sandling, Ann-Christine Syvänen
Format: Article
Language:English
Published: Nature Publishing Group 2017-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-06516-1