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. 2016 Oct 4;17:773. doi: 10.1186/s12864-016-3120-5

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© The Author(s). 2016

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 4 — Power (PO) and false positives rate (FPR) with 25 QTL and 50 % missing rate, for major and minor QTL to evaluate the GWAS performance based on simulated matrix with a Bonferroni threshold corrected by the effective number of independent markers. Each parameter was calculated for the combinations of: heritabilties (h ²), marker score matrices to simulate the QTL (i.e. Y_sim-NImp, Y_sim-MVN-EM, Y_sim-Mean and Y_sim-RF), and marker score matrices to perform the GWAS analysis (i.e. G_NImp, G_MVN-EM, G_Mean and G_RF)