ArticleAnimals : an open access journal from MDPI2020
Identification and Functional Annotation of Genes Related to Horses' Performance: From GWAS to Post-GWAS.
Article in Animals : an open access journal from MDPI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
The trial behind it
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Who cites it
14 citing papers in PubMed, 21 citations in OpenAlex.
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- Research Trends and Emerging Frontiers in Racehorse Genetics: A Bibliometric Analysis.Animals : an open access journal from MDPI · 2026Article
- Advances in Equine Genomics: Decoding the Genetic Architecture of Morphology, Performance, Behavior, and Adaptation.Molecular biotechnology · 2026Review
- Review: Genomic insights into the adaptive traits and stress resistance in modern horses.Stress biology · 2026Review
- Weight Gain and Tenderness in Nelore Cattle: Genetic Association and a Potential Pleiotropic Role of Transcription Factors and Genes.Animals : an open access journal from MDPI · 2025Article
- Identification and functional annotation of candidate genes and transcription factors associated with reproductive traits to Nelore bulls: new insights from GWAS and post-GWAS analysis.Tropical animal health and production · 2025Article
- Selection signatures and inbreeding: exploring genetic diversity in five native horse breeds.BMC veterinary research · 2025Article
- Genomic-Inbreeding Landscape and Selection Signatures in the Polo Argentino Horse Breed.International journal of molecular sciences · 2024Article
- Genomic prediction and genome-wide association studies of morphological traits and distraction index in Korean Sapsaree dogs.PloS one · 2024Article
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- Isothermal Nucleic Acid Amplification Technologies for the Detection of Equine Viral Pathogens.Animals : an open access journal from MDPI · 2021Review
- Toward Genome-Based Selection in Asian Seabass: What Can We Learn From Other Food Fishes and Farm Animals?Frontiers in genetics · 2021Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
Integration of genomic data with gene network analysis can be a relevant strategy for unraveling genetic mechanisms. It can be used to explore shared biological processes between genes, as well as highlighting transcription factors (TFs) related to phenotypes of interest. Unlike other species, gene-TF network analyses have not yet been well applied to horse traits. We aimed to (1) identify candidate genes associated with horse performance via systematic review, and (2) build biological processes and gene-TF networks from the identified genes aiming to highlight the most candidate genes for horse performance. Our systematic review considered peer-reviewed articles using 20 combinations of keywords. Nine articles were selected and placed into groups for functional analysis via gene networks. A total of 669 candidate genes were identified. From that, gene networks of biological processes from each group were constructed, highlighting processes associated with horse performance (e.g., regulation of systemic arterial blood pressure by vasopressin and regulation of actin polymerization and depolymerization). Transcription factors associated with candidate genes were also identified. Based on their biological processes and evidence from the literature, we identified the main TFs related to horse performance traits, which allowed us to construct a gene-TF network highlighting TFs and the most candidate genes for horse performance.
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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.