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Estimation of SNP effects for health traits in Holstein-Friesian cow calibration groups: Comparison of random forest methodology with genome wide association studies
Naderi Darbaghshahi, Saeid; Yin, T.; König, S.
2016In Vortragstagung der DGfZ und GfT
Peer reviewed
 

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Abstract :
[en] Up to now, only a few studies used RF methodology to discover genetic variants spread over the genome with regard to disease resistance or disease susceptibility in dairy cattle. In consequence, the objective of our study was to screen the whole genome in order to identify SNP with large effects by applying a classical GWAS approach and RF, and to infer overlaps between identified SNP with genes according to the Ensembl database (www.ensembl.org/biomart/martview).
Disciplines :
Animal production & animal husbandry
Author, co-author :
Naderi Darbaghshahi, Saeid ;  Université de Liège - ULiège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Ingénierie des productions animales et nutrition
Yin, T.
König, S.
Language :
English
Title :
Estimation of SNP effects for health traits in Holstein-Friesian cow calibration groups: Comparison of random forest methodology with genome wide association studies
Publication date :
16 September 2016
Event name :
Vortragstagung der DGfZ und GfT 2016
Event organizer :
DGfZ and GfT
Event place :
Hanover, Germany
Event date :
16-17 September 2016
By request :
Yes
Audience :
International
Main work title :
Vortragstagung der DGfZ und GfT
Peer reviewed :
Peer reviewed
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since 07 December 2017

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