ArticleG3 (Bethesda, Md.)2020
Bayesian and Machine Learning Models for Genomic Prediction of Anterior Cruciate Ligament Rupture in the Canine Model.
Article in G3 (Bethesda, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
15 citing papers in PubMed, 29 citations in OpenAlex.
- Influence of homozygosity on genomic structural variation analyses for predicting ACL rupture risk in the Labrador Retriever and Rottweiler.Frontiers in genetics · 2026Article
- Canine Cranial Cruciate Ligament Disease (CCLD): A Concise Review of the Recent Literature.Animals : an open access journal from MDPI · 2025Review
- Deep Learning Models to Detect Anterior Cruciate Ligament Injury on MRI: A Comprehensive Review.Diagnostics (Basel, Switzerland) · 2025Review
- Cross-species analysis of genetic architecture and polygenic risk scores for non-contact ACL rupture in dogs and humans.Communications biology · 2025Article
- Accuracy of genome-enabled polygenic risk score prediction of cruciate ligament rupture risk in the Labrador Retriever.Frontiers in veterinary science · 2025Article
- Benchmarking machine learning and parametric methods for genomic prediction of feed efficiency-related traits in Nellore cattle.Scientific reports · 2024Article
- Outcome in 12 Dogs with Chronic Radiographic Cranial Tibial Subluxation after Tibial Plateau Leveling Osteotomy (2019-2021).Case reports in veterinary medicine · 2024Article
- Genome-wide association studies of ischemic stroke based on interpretable machine learning.PeerJ. Computer science · 2024Article
- Evaluation of eight Bayesian genomic prediction models for three micronutrient traits in bread wheat (Triticum aestivum L.).The plant genome · 2023Article
- Identification of genetic variants associated with anterior cruciate ligament rupture and AKC standard coat color in the Labrador Retriever.BMC genomic data · 2023Article
- Genomic analysis and prediction of genomic values for distichiasis in Staffordshire bull terriers.Canine medicine and genetics · 2023Article
- Canine ACL rupture: a spontaneous large animal model of human ACL rupture.BMC musculoskeletal disorders · 2022Review
- Heterotic quantitative trait loci analysis and genomic prediction of seedling biomass-related traits in maize triple testcross populations.Plant methods · 2021Article
- Genomic Prediction of Two Complex Orthopedic Traits Across Multiple Pure and Mixed Breed Dogs.Frontiers in genetics · 2021Article
- Biologically Enhanced Genome-Wide Association Study Provides Further Evidence for Candidate Loci and Discovers Novel Loci That Influence Risk of Anterior Cruciate Ligament Rupture in a Dog Model.Frontiers in genetics · 2021Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
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 work demonstrates the feasibility of predicting ACL rupture from SNPs in the Labrador Retriever model with and without consideration of non-genetic risk factors. Genomic prediction including non-genetic risk factors approached clinical relevance using multiple linear Bayesian and non-linear models. This analysis represents the first steps toward development of a predictive algorithm for ACL rupture in the Labrador Retriever model. Future work may extend this algorithm to other high-risk breeds of dog. The ability to accurately predict individual dogs at high risk for ACL rupture would identify candidates for clinical trials that would benefit both veterinary and human medicine.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.