作者
Lauren A Baker, Mehdi Momen, Kore Chan, Nathan Bollig, Fernando Brito Lopes, Guilherme JM Rosa, Rory J Todhunter, Emily E Binversie, Susannah J Sample, Peter Muir
发表日期
2020/8/1
期刊
G3: Genes, genomes, genetics
卷号
10
期号
8
页码范围
2619-2628
出版商
Oxford University Press
简介
Anterior cruciate ligament (ACL) rupture is a common, debilitating condition that leads to early-onset osteoarthritis and reduced quality of human life. ACL rupture is a complex disease with both genetic and environmental risk factors. Characterizing the genetic basis of ACL rupture would provide the ability to identify individuals that have high genetic risk and allow the opportunity for preventative management. Spontaneous ACL rupture is also common in dogs and shows a similar clinical presentation and progression. Thus, the dog has emerged as an excellent genomic model for human ACL rupture. Genome-wide association studies (GWAS) in the dog have identified a number of candidate genetic variants, but research in genomic prediction has been limited. In this analysis, we explore several Bayesian and machine learning models for genomic prediction of ACL rupture in the Labrador Retriever dog. Our …
引用总数
2020202120222023202414553
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