Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2020 Feb 25;10:3353. doi: 10.1038/s41598-020-60334-6

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s) 2020

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/.

PMC Copyright notice

Clustering of miRNA candidates and evaluation of each resulting cluster in predicting PTSD diagnosis. (a) Using a principal component analysis, three composite markers were derived in a data-driven manner, consisting of highly correlated miRNAs showing a similar expression profile within each subset. Asterisks (*) in the correlation matrices of the PTSD (right panel) and control (left panel) groups indicate significant correlations at Bonferroni-corrected P < 0.05. (b) A standardized expression value of each composite marker calculated by averaging the z scores of the relative expression values of the circulating exosomal miRNAs. Diagnostic performance of each composite marker to discriminate recently traumatized individuals with PTSD from trauma-unexposed healthy individuals was evaluated with the ROC curve analysis. AUC measures indicate the discriminatory power of each composite marker, which was internally validated using 1,000 bootstrap resampling, with AUC measures of individual miRNAs within each composite marker presented in radar charts. miRNA microRNA, PTSD posttraumatic stress disorder, ROC receiver operating characteristic, AUC area under the ROC curve.