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. 2023 Apr 10;24:192. doi: 10.1186/s12864-023-09295-4

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© The Author(s) 2023

Open AccessThis 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, visit http://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. 2 — Fine mapping of six QTL detected by metaGWAS. A Manhattan plots from array (upper) and imputed sequence (bottom) variants in metaGWAS with 24 traits. B Linkage disequilibrium between the lead SNPs and all other variants. Black circles mark array SNPs, arrows point to previously proposed causal variants. The red line indicates the genome-wide Bonferroni-corrected significance threshold. C Variation explained (in % of the drEBV variance) by alternative alleles of the lead SNPs in the single traits. Production traits are in blue scale (ADFI—Average daily feed intake; DWG—Daily weight gain on test; LDWG—Lifetime daily weight gain; LMC—Lean meat content; BFT—Back fat thickness; IMF—Intramuscular fat content in loin), and conformation traits in red scale (CL—Carcass length; NT—Number of teats—both sides; NUT—Number of underdeveloped teats; BFL—Bent to pre-bent, front legs; XOH—X- to O-legged)