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. 2016 Aug 9;6:31237. doi: 10.1038/srep31237

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Copyright © 2016, The Author(s)

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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(A) Principal components analysis (PCA) for ancestry and population stratification implemented in EIGENSOFT package. The blue dot represents controls and red dot represents patients. No or mild population stratification was found in this study population. (B) Quantile-Quantile (Q-Q) plots from Single Variant Test. Reported genomic inflation factor was calculated by MATLAB 7.0, based on P value, and the genomic control inflation factor (λ) was 1.018. (C) Manhattan plots for association analysis. Results from Single Variant Test (−log10 P values) were plotted against genomic position (GRCh37/hg19).