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. 2019 Mar 1;9:3266. doi: 10.1038/s41598-019-39796-w

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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VarClass improvement of Risk Production for Parkinson’s dataset. (A) ROC curve showing classification of Parkinson’s disease and normal samples. Black and red lines denote logistic binomial regression classification when including and excluding informative VarClass variants. The green dotted line shows prediction accuracy from including random variants to the baseline odds ratio variants for this dataset (B) Boxplot showing predicted risk mean and standard deviation for disease and control samples when including VarClass variants in the analysis. (C) Boxplot showing predicted risk mean and standard deviation for disease and control samples without including VarClass variants in the analysis. Boxplots discrimination slopes (Disc. Slope - difference between means of disease and normal populations) show a greater discrimination capacity between disease and normal samples when VarClass variants are included in the risk prediction model (0.482) and a drop in discrimination slope (0.426) when excluding the variants from the model. (D) The risk score distribution statistics for disease (black histogram) and control (grey histogram) including VarClass variants in the analysis.