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. 2018 Oct 2;8:205. doi: 10.1038/s41398-018-0217-4

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© The Author(s) 2018

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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Fig. 3 — Loadings of psychopathology traits on the first unrotated principal component for each of the four types of genetic data. GCTA Genome-wide Complex Trait Analysis, LDSC Linkage-Disequilibrium Score Regression, GPS Genome-wide Polygenic Score, SCZ Schizophrenia, BIP Bipolar Disorder, MDD Major Depressive Disorder, ASD Autism Spectrum Disorder, ADHD Attention-Deficit/Hyperactivity Disorder, ANX Anxiety, OCD Obsessive-Compulsive Disorder, AN Anorexia Nervosa, PTSD Post-Traumatic Stress Disorder; Drug = Drug Abuse; Alcohol = Alcohol Abuse; Crime = Convictions of Violent Crimes. * = reached statistical significance of p ≤ 1.65 × 10⁻⁴¹; it was only possible to test the statistical significance for the loadings relating to GPS and family data (see Methods section for details)