ArticleBMC genetics2015
Associations of SNPs located at candidate genes to bovine growth traits, prioritized with an interaction networks construction approach.
Article in BMC genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- ERC2.0 evolutionary rate covariation update improves inference of functional interactions across large phylogenies.Genome research · 2025Article
- Genome-Wide Association Studies in Japanese Quails of the FInternational journal of molecular sciences · 2025Article
- ERC 2.0 - evolutionary rate covariation update improves inference of functional interactions across large phylogenies.bioRxiv : the preprint server for biology · 2025Article
- Assessing the Genetic Background and Selection Signatures of Huaxi Cattle Using High-Density SNP Array.Animals : an open access journal from MDPI · 2021Article
- Genetic Architecture of Carcass and Meat Quality Traits in Montana TropicalFrontiers in genetics · 2020Article
- Copy Number Variation Mapping and Genomic Variation of Autochthonous and Commercial Turkey Populations.Frontiers in genetics · 2019Article
- Association of SNPs in dopamine and serotonin pathway genes and their interacting genes with temperament traits in Charolais cows.Journal of applied genetics · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFor most domestic animal species, including bovines, it is difficult to identify causative genetic variants involved in economically relevant traits. The candidate gene approach is efficient because it investigates genes that are expected to be associated with the expression of a trait and defines whether the genetic variation present in a population is associated with phenotypic diversity. A potential limitation of this approach is the identification of candidates. This study used a bioinformatics approach to identify candidate genes via a search guided by a functional interaction network.
resultsA functional interaction network tool, BosNet, was constructed for Bos taurus. Predictions for candidate genes were performed using the guilt-by-association principle in BosNet. Association analyses identified five novel markers within BosNet-prioritized genes that had significant effects on different growth traits in Charolais and Brahman cattle.
conclusionsBosNet is an excellent tool for the identification of single nucleotide polymorphisms that are potentially associated with complex traits.
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