ReviewVeterinary journal (London, England : 1997)2009
The long (and winding) road to gene discovery for canine hip dysplasia.
Review in Veterinary journal (London, England : 1997), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.
- Genome-wide association studies for canine hip dysplasia in single and multiple populations - implications and potential novel risk loci.BMC genomics · 2021Pooled it
- Across-breed genetic investigation of canine hip dysplasia, elbow dysplasia, and anterior cruciate ligament rupture using whole-genome sequencing.Frontiers in genetics · 2022Article
- Article
- Novel protective and risk loci in hip dysplasia in German Shepherds.PLoS genetics · 2019Article
- A retrospective study on findings of canine hip dysplasia screening in Kenya.Veterinary world · 2015Article
- Emerging insights into the genetic basis of canine hip dysplasia.Veterinary medicine (Auckland, N.Z.) · 2015Review
- A genetic predictive model for canine hip dysplasia: integration of Genome Wide Association Study (GWAS) and candidate gene approaches.PloS one · 2015Article
- Diagnosis, prevention, and management of canine hip dysplasia: a review.Veterinary medicine (Auckland, N.Z.) · 2015Review
- Article
- Estimated breeding values for canine hip dysplasia radiographic traits in a cohort of Australian German Shepherd dogs.PloS one · 2013Article
- Monitoring Hip and Elbow Dysplasia achieved modest genetic improvement of 74 dog breeds over 40 years in USA.PloS one · 2013Article
- Mixed linear model approach adapted for genome-wide association studies.Nature genetics · 2010Article
- Retrospective analysis for genetic improvement of hip joints of cohort labrador retrievers in the United States: 1970-2007.PloS one · 2010Article
Corrections and comments
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Authors and funding
13 authors at 1 institution in 1 country.
Funding
Abstract
Hip dysplasia is a common inherited trait of dogs that results in secondary osteoarthritis. In this article the methods used to uncover the mutations contributing to this condition are reviewed, beginning with hip phenotyping. Coarse, genome-wide, microsatellite-based screens of pedigrees of greyhounds and dysplastic Labrador retrievers were used to identify linked quantitative trait loci (QTL). Fine-mapping across two chromosomes (CFA11 and 29) was employed using single nucleotide polymorphism (SNP) genotyping. Power analyses and preferential selection of dogs for ongoing SNP-based genotyping is described with the aim of refining the QTL intervals to 1-2 megabases on these and several additional chromosomes prior to candidate gene screening. The review considers how a mutation or a genetic marker such as a SNP or haplotype of SNPs might be combined with pedigree and phenotype information to create a 'breeding value' that could improve the accuracy of predicting a dog's hip conformation.
Indexed as
Identifiers
What OpenQuestion holds
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.