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. 2019 Mar 14;2:100. doi: 10.1038/s42003-019-0341-6

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© The Author(s) 2019

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. 2 — Genetic relationships of gestation length and other dairy traits of economic importance. a Genetic correlations between gestation length and 35 dairy traits in the U.S. Holstein population. The genetic correlations are approximately computed using the effects of all tested variants in GWAS. b GWAS signal enrichment of gestation length based on the Cattle QTLdb (https://www.animalgenome.org/cgi-bin/QTLdb/BT/index). Each dot denotes a list of genes that are associated with a complex trait in Cattle QTLdb. The top 10 traits with the highest enrichments (i.e., −log₁₀P) are shown in the figure