Using residual regressions to quantify and map signal leakage in genomic prediction

Genetics selection evolution (Paris), 2023-08, Vol.55 (1), p.57-57, Article 57 [Peer Reviewed Journal]

2023. ’Institut National de Recherche en Agriculture, Alimentation et Environnement (INRAE). ;COPYRIGHT 2023 BioMed Central Ltd. ;The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 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. ;Institut National de Recherche en Agriculture, Alimentation et Environnement (INRAE) 2023 ;ISSN: 1297-9686 ;ISSN: 0999-193X ;EISSN: 1297-9686 ;DOI: 10.1186/s12711-023-00830-1 ;PMID: 37550618

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