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. 2017 Jun 26;7:4237. doi: 10.1038/s41598-017-04109-6

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© The Author(s) 2017

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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The performance of the 17-gene signature in the validation cohorts. (A) The 17-gene signature based severity score differentiates the sarcoidosis patients from the healthy controls in the UCSF and Oregon cohorts. The violin plot indicates the distribution of the severity score in each category. (B) The ROC curves of the 17-gene signature in classifying the subjects in the UCSF and Oregon cohorts. (C) Superior predictive power of the 17-gene signature compared with random gene set. The dark grey area shows the distribution of the sum of AUC (both the validation cohorts) for the 1,000 resampled gene signatures (with the identical size as the 17-gene signature) randomly picked up from human genome. The light grey area shows the distribution of the sum of AUC for the 1,000 resampled gene signatures randomly selected from the pool of the sarcoidosis related genes. The black triangle stands for the sum of AUC of the 17-gene signature. Right-tailed P-values of the sampling distribution were calculated.