Sequence-based GWAS meta-analyses for beef production traits

Sequence-based GWAS meta-analyses for beef production traits

Abstract Background Combining the results of within-population genome-wide association studies (GWAS) based on whole-genome sequences into a single meta-analysis (MA) is an accurate and powerful method for identifying variants associated with complex traits. As part of the H2020 BovReg project, we p...

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Bibliographic Details
Main Authors: Marie-Pierre Sanchez, Thierry Tribout, Naveen K. Kadri, Praveen K. Chitneedi, Steffen Maak, Chris Hozé, Mekki Boussaha, Pascal Croiseau, Romain Philippe, Mirjam Spengeler, Christa Kühn, Yining Wang, Changxi Li, Graham Plastow, Hubert Pausch, Didier Boichard
Format: Article
Language:deu
Published: BMC 2023-10-01
Series:Genetics Selection Evolution
Online Access:https://doi.org/10.1186/s12711-023-00848-5

Internet

https://doi.org/10.1186/s12711-023-00848-5

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