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. 2018 Apr 12;8:5895. doi: 10.1038/s41598-018-24291-5

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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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The principal component analysis (PCA) illustrated Chinese population genetic structure among 28 Chinese populations. (A) PCA is built based on the variance of the first and second components; (B) PCA constructed on the basis of the first and the third components. Each population is represented by one graphic symbol and the color label corresponding to ethnicity origin.