A meta-analysis of the association between Growth Hormone (GH) gene polymorphism and growth traits in cattle breeds
Abstract
GH gene is one of the important genes that affect the productive and physiological traits in livestock. This study aimed to use a meta-analysis to determine the association of the GH gene with growth traits in cattle. Four different genetic models were used: dominant LL + LV versus VV, recessive LL versus LV + VV, complete over dominant LL+VV vs. LV and co-dominant LL vs. LV, LL vs. VV and LV vs. VV. The random-effect model was used in data analysis based on I2. Meta-analysis showed an effect of GH genotypes on the birth weight (BW) under the recessive (p<0.05) and complete over dominant (p<0.01) models. However, no association (p>0.05) was found under the dominant model. In terms of co-dominant model, the GH polymorphism showed a significant association with BW (SMD = 0.359, 95% CI = 0.119 to 0.599, p = 0.003) under LL vs. LV genotype combination patterns. No association was found between GH polymorphism and BW under LL vs. VV genotype combination. The results showed that the LL genotype had a significant effect on BW traits from LV and VV genotypes when comparing the models. The results showed an effect of the GH on ADG under four genetic models (p<0.05).
Article Details
- How to Cite
-
Bayraktar, M., & Özdemir, M. (2022). A meta-analysis of the association between Growth Hormone (GH) gene polymorphism and growth traits in cattle breeds. Journal of the Hellenic Veterinary Medical Society, 73(3), 4657–4666. https://doi.org/10.12681/jhvms.29407
- Issue
- Vol. 73 No. 3 (2022)
- Section
- Research Articles
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
· Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution Non-Commercial License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
· Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g. post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
· Authors are permitted and encouraged to post their work online (preferably in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.