Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds-Reference-Cited by-同舟云学术

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

Published:2020-07-07 Issue:1 Volume:52 Page:
ISSN:1297-9686
Container-title:Genetics Selection Evolution
language:en
Short-container-title:Genet Sel Evol

Author:

van den Berg Irene^ORCID,Xiang Ruidong,Jenko Janez,Pausch Hubert,Boussaha Mekki,Schrooten Chris,Tribout Thierry,Gjuvsland Arne B.,Boichard Didier,Nordbø Øyvind,Sanchez Marie-Pierre,Goddard Mike E.

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Animal Science and Zoology,General Medicine,Ecology, Evolution, Behavior and Systematics

Link

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

Reference49 articles.

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2. van den Berg I, Boichard D, Lund MS. Sequence variants selected from a multi-breed GWAS can improve the reliability of genomic predictions in dairy cattle. Genet Sel Evol. 2016;48:83.

3. Begum F, Ghosh D, Tseng GC, Feingold E. Comprehensive literature review and statistical considerations for GWAS meta-analysis. Nucleic Acids Res. 2012;40:3777–84.

4. Evangelou E, Ioannidis JP. Meta-analysis methods for genome-wide association studies and beyond. Nat Rev Genet. 2013;14:379–89.

5. Bouwman AC, Daetwyler HD, Chamberlain AJ, Ponce CH, Sargolzaei M, Schenkel FS, et al. Meta-analysis of genome-wide association studies for cattle stature identifies common genes that regulate body size in mammals. Nat Genet. 2018;50:362–7.

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