Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds

Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds

Abstract Background Sequence-based genome-wide association studies (GWAS) provide high statistical power to identify candidate causal mutations when a large number of individuals with both sequence variant genotypes and phenotypes is available. A meta-analysis combines summary statistics from multip...

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Main Authors: Irene van den Berg, Ruidong Xiang, Janez Jenko, Hubert Pausch, Mekki Boussaha, Chris Schrooten, Thierry Tribout, Arne B. Gjuvsland, Didier Boichard, Øyvind Nordbø, Marie-Pierre Sanchez, Mike E. Goddard
Format: Article
Language:deu
Published: BMC 2020-07-01
Series:Genetics Selection Evolution
Online Access:http://link.springer.com/article/10.1186/s12711-020-00556-4

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http://link.springer.com/article/10.1186/s12711-020-00556-4

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