Meta-analysis of SNP in growth hormone gene associated with milk traits in dairy cows

Bangar, Yogesh C.; Magotra, Ankit

doi:10.1007/s11250-021-02670-x

Cited by 7 publications

(2 citation statements)

References 28 publications

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“…Studies conducted on different cattle types and buffaloes have reported that GH-AluI gene polymorphisms affect meat yield, pre-slaughter body weight, carcass meat weight, slaughter weight and growth data (Pereira et al, 2005;Curi et al, 2006;Sedykh et al, 2020;El-Komy et al, 2021) Parallel to our research, polymorphic association studies analyzing somatotropic axis genes together have generally associated these genes with growth and reproduction data but not with milk yield, especially GH/AluI and IGFI/SnaBI (Balogh et al, 2008;Ulyanov et al, 2021). The two different META analysis studies show that the common L allele was dominant and no significant difference was found in the results of the meta-analysis and subgroup analysis for the milk yields in the LL, LV, and VV genotypes Akcay et al, 2020;Bangar et al, 2021). The results of the Z. SÖNMEZ, S. KOPUZLU, M. ÖZDEMIR meta-analysis on bGH/AluI and IGFI/SnaBI genetic variations in cattle confirm the results of our study.…”

Section: Discussionsupporting

confidence: 59%

Effects of Somatotropic Axis Gene Polymorphisms on Milk Yields in Simmental Cattle

Sonmez,

Kopuzlu,

Özdemir

2024

J Hellenic Vet Med Soc

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Due to the increasing world population, scientists aim to obtain high-yield products using new techniques and methods to meet needs in the fields of food, agriculture, and livestock. It is very important to selected the candidate genes and markers correctly, especially in the QTL and MAS techniques in livestock. Somatotropic axis genes affect yield traits, growth, reproduction, and milk production in cattle. In the study, we determined GH/AluI and IGFI/SnaBI gene polymorphisms using the PCR-RFLP technique in DNA samples obtained from 70 Simmental cattle. The allele frequencies of the genes were in the same proportion as 0.62 and 0.38, L and V for the GH gene and T and C for the IGFI gene. There was no significant relationship between the polymorphic genotypes of the genes we examined and lactation milk yields, 305-day milk yields, daily milk yields, and lactation periods of Simmental cattle. The probability of using bGH/AluI and IGFI/SnaBI genetic variations as markers in association studies with milk yield in cattle is extremely low. Keywords: Axis genes; RFLP; MAS; Simmental; milk yield

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Section: Discussionsupporting

confidence: 59%

Effects of Somatotropic Axis Gene Polymorphisms on Milk Yields in Simmental Cattle

Sonmez,

Kopuzlu,

Özdemir

2024

J Hellenic Vet Med Soc

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“…To verify these contradictory results, meta-analysis can use as a tool to address these contradictions by collecting different data and creating a large dataset to overcome the small samples size used in some studies (Lee 2015;Mahmoudi et al, 2019;Mahmoudi et al, 2020). A meta-analysis is a statistical application used to resolve inconsistencies in genetic association studies by integrating previous studies on the same topic (Bangar & Magotra 2021;Bangar et al, 2021a;Özdemir et al, 2018). Meta-analysis raises statistical ability and accuracy in detecting effects by integrating previous studies' results, therefore getting over the small sample size problems and the unsuitable statistical ability of complex genetic traits studies (Bangar et al, 2021b;Chong et al, 2019;Özdemir & Esenbuğa 2020).…”

Section: Introductionmentioning

confidence: 99%

A meta-analysis of the association between Growth Hormone (GH) gene polymorphism and growth traits in cattle breeds

Bayraktar

Özdemir²

2022

J Hellenic Vet Med Soc

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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).

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Meta-Analysis of Gene Polymorphism of Beta-Lactoglobulin Gene in Indian Dairy Cows

et al. 2021

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The aim of the present paper was to summarize the gene polymorphisms of beta-lactoglobulin (BLG) gene and its effects on milk yield in 1840 genotyped Indian dairy cows reported in 17 published studies. The meta-analysis was undertaken using gene frequencies of individual studies under random effects model, whereas for association analysis of genotypes with milk yield, standardized mean differences (SMDs) along with 95% confidence interval (CI) were obtained under four genetic models such as additive (AA vs. BB), dominant (AA+AB vs. BB), completely over dominant (AA+BB vs. AB) and recessive (AA vs. AB+BB). The heterogeneity index (I 2 ) was used to determine heterogeneity between studies. The results of meta-analysis suggested that the pooled allelic frequency of allele A was subsidiary as 0.29 (95% CI 0.24, 0.33, I 2 = 88.54%) in targeted population, and also, it was non-significantly (P > 0.05) different between Bos indicus (0.28) and Bos taurus/cross cows (0.30). Egger's test indicated no risk of publication bias (P > 0.05). The results also revealed that BLG gene variants have non-significant (P > 0.05) association with milk yield under all genetic models. Although positive effects of SMDs under some models were observed, however, they failed to meet statistical significance (P > 0.05) due to high heterogeneity between studies which lead to conclusion of only uncertain influences of SNP genotypes with milk yield. It was concluded that BLG markers may not be beneficial for improving milk yield in Indian dairy cows. However, it is suggested that the revalidation of the present results should be done by using more number of studies. Keywords Cow • Beta-lactoglobulin • Gene polymorphism • Meta-analysis Abbreviations BLGBeta-lactoglobulin * Yogesh C. Bangar

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Meta-analysis of SNP in growth hormone gene associated with milk traits in dairy cows

Cited by 7 publications

References 28 publications

Effects of Somatotropic Axis Gene Polymorphisms on Milk Yields in Simmental Cattle

Effects of Somatotropic Axis Gene Polymorphisms on Milk Yields in Simmental Cattle

A meta-analysis of the association between Growth Hormone (GH) gene polymorphism and growth traits in cattle breeds

Meta-Analysis of Gene Polymorphism of Beta-Lactoglobulin Gene in Indian Dairy Cows

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