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. 2020 Jun 29;21:66. doi: 10.1186/s12863-020-00871-1

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© 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visithttp://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

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Fig. 3 — Sensitivity and specificity of testing SNP effects. ROC curve is based on 100 ×100 repeated simulations of genotypes and phenotypes in progeny generation comprising N=10 half-sib families (two QTL signals, h²=0.1). Optimal sample size suggested by the multi-SNP model was considered for setting up the progeny generation