Genomics of Skeletal Disorders

Distl, O.

doi:10.1002/9781118522158.ch12

Cited by 2 publications

(2 citation statements)

References 60 publications

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“…In addition, this TF regulates chondrocyte proliferation and differentiation [86], and an irregularity of chondrocyte development and maturation can alter endochondral ossification, leading to osteochondrosis [87]. In this context, The most important causes of poor performance and reduced usefulness of athlete horses are The diseases of The locomotor system [88]. These diseases may be related with stress on immature bones and joints, and are observed mainly in racehorses, since they start training for competitions very young [89].…”

Section: Gene-tf Networkmentioning

confidence: 99%

Identification and Functional Annotation of Genes Related to Horses’ Performance: From GWAS to Post-GWAS

Littiere

Castro

Rodriguez

et al. 2020

Animals

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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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Section: Gene-tf Networkmentioning

confidence: 99%

Identification and Functional Annotation of Genes Related to Horses’ Performance: From GWAS to Post-GWAS

Littiere

Castro

Rodriguez

et al. 2020

Animals

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“…to condition of osteochondrosis [36]. According to Distl [37] diseases of the locomotor system are the most important causes of reduced performance and premature retirement of horses. Racehorses start training very young and the stress on immature bones and joints can cause breakdown and unsoundness [38].…”

Section: Accepted Manuscript 10mentioning

confidence: 99%

Speed Index in the Racing Quarter Horse: A Genome-wide Association Study

Meira¹,

Fortes²,

Farah³

et al. 2014

Journal of Equine Veterinary Science

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The racing line of Quarter Horses is characterized by great sprinting speed over short distances on straight tracks. To perform selection on racing horses, the speed index (SI) and conformation traits are often used. A genome-wide association study (GWAS) on 112 racing Quarter Horses was performed for the SI trait and markers and genes associated were reported. The GWAS was carried out using the Qxpak.5 software and the genotyping data obtained from the Equine SNP50 BeadChip. A total of eight significant SNPs (P < .0001; Qvalue of 0.25) distributed on ECA 2, 4, 10, 18 and 27 were found and served as markers for genomic regions mined for candidate genes associated with SI. For candidate gene annotation was considered 100Kb windows upstream and downstream to each important SNP. The highlighted genes were GRM8, GRIK2, NEB, ANK1 and KAT6A, since their function could be related to racing performance. Future studies should consider a validation study with an independent population and sequencing of these candidate genes should be done to identify causal alleles.

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Genomics of Skeletal Disorders

Cited by 2 publications

References 60 publications

Identification and Functional Annotation of Genes Related to Horses’ Performance: From GWAS to Post-GWAS

Identification and Functional Annotation of Genes Related to Horses’ Performance: From GWAS to Post-GWAS

Speed Index in the Racing Quarter Horse: A Genome-wide Association Study

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