Identification and Functional Annotation of Genes Related to Horses’ Performance: From GWAS to Post-GWAS Article Swipe
Thayssa de Oliveira Littiere
,
Gustavo Castro‐Olvera
,
Maria Del Pilar Rodriguez Rodriguez
,
Cristina Moreira Bonafé
,
Ana Fabrícia Braga Magalhães
,
Rafael Resende Faleiros
,
João Inácio Gomes Vieira
,
Cassiane Gomes dos Santos
,
Lucas Lima Verardo
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/ani10071173
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/ani10071173
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.
Related Topics
Concepts
Genome-wide association study
Identification (biology)
Computational biology
Annotation
Gene
Biology
Genetics
Single-nucleotide polymorphism
Genotype
Botany
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/ani10071173
- https://www.mdpi.com/2076-2615/10/7/1173/pdf?version=1594378124
- OA Status
- gold
- Cited By
- 19
- References
- 106
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3041481945
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3041481945Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/ani10071173Digital Object Identifier
- Title
-
Identification and Functional Annotation of Genes Related to Horses’ Performance: From GWAS to Post-GWASWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-07-10Full publication date if available
- Authors
-
Thayssa de Oliveira Littiere, Gustavo Castro‐Olvera, Maria Del Pilar Rodriguez Rodriguez, Cristina Moreira Bonafé, Ana Fabrícia Braga Magalhães, Rafael Resende Faleiros, João Inácio Gomes Vieira, Cassiane Gomes dos Santos, Lucas Lima VerardoList of authors in order
- Landing page
-
https://doi.org/10.3390/ani10071173Publisher landing page
- PDF URL
-
https://www.mdpi.com/2076-2615/10/7/1173/pdf?version=1594378124Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2076-2615/10/7/1173/pdf?version=1594378124Direct OA link when available
- Concepts
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Genome-wide association study, Identification (biology), Computational biology, Annotation, Gene, Biology, Genetics, Single-nucleotide polymorphism, Genotype, BotanyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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19Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 7, 2023: 4, 2022: 2, 2021: 3Per-year citation counts (last 5 years)
- References (count)
-
106Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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