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 PMID:29871610  

Genomic predictions combining SNP markers and copy number variations in Nellore cattle.

El Hamidi A Hay | Yuri T Utsunomiya | Lingyang Xu | Yang Zhou | Haroldo H R Neves | Roberto Carvalheiro | Derek M Bickhart | Li Ma | Jose Fernando Garcia | George E Liu
BMC genomics | 2018

Due to the advancement in high throughput technology, single nucleotide polymorphism (SNP) is routinely being incorporated along with phenotypic information into genetic evaluation. However, this approach often cannot achieve high accuracy for some complex traits. It is possible that SNP markers are not sufficient to predict these traits due to the missing heritability caused by other genetic variations such as microsatellite and copy number variation (CNV), which have been shown to affect disease and complex traits in humans and other species.

Pubmed ID: 29871610

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FISHER (tool)

RRID:SCR_009181

THIS RESOURCE IS NO LONGER IN SERVICE, documented on February 1st, 2022. Software application for genetic analysis of classical biometric traits like blood pressure or height that are caused by a combination of polygenic inheritance and complex environmental forces. (entry from Genetic Analysis Software)

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