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Effect direction meta-analysis of GWAS identifies extreme, prevalent and shared pleiotropy in a large mammal.
Xiang, Ruidong; van den Berg, Irene; MacLeod, Iona M; Daetwyler, Hans D; Goddard, Michael E.
Affiliation
  • Xiang R; Faculty of Veterinary & Agricultural Science, The University of Melbourne, Parkville, 3052, Victoria, Australia. ruidong.xiang@unimelb.edu.au.
  • van den Berg I; Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, Victoria, 3083, Australia. ruidong.xiang@unimelb.edu.au.
  • MacLeod IM; Faculty of Veterinary & Agricultural Science, The University of Melbourne, Parkville, 3052, Victoria, Australia.
  • Daetwyler HD; Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, Victoria, 3083, Australia.
  • Goddard ME; Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, Victoria, 3083, Australia.
Commun Biol ; 3(1): 88, 2020 02 28.
Article in En | MEDLINE | ID: mdl-32111961
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cattle / Genome-Wide Association Study / Genetic Pleiotropy Type of study: Prognostic_studies / Systematic_reviews Limits: Animals Language: En Journal: Commun Biol Year: 2020 Document type: Article Affiliation country: Australia Country of publication: Reino Unido
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cattle / Genome-Wide Association Study / Genetic Pleiotropy Type of study: Prognostic_studies / Systematic_reviews Limits: Animals Language: En Journal: Commun Biol Year: 2020 Document type: Article Affiliation country: Australia Country of publication: Reino Unido