A meta-analysis on the relationship between IGF-1 gene polymorphism and milk production traits in cattle

This study aims to investigate whether a more reliable and common result can be obtained by using the meta-analysis method to analyze the yield results obtained from large ruminant animals, based on previous research findings related to insulin-like growth factor-1 (IGF-1). The results of this analysis can provide important contributions to breeding programs and animal husbandry practices and maximize the genetic potential of cattle and increase efficiency in milk production. The study employed the meta-analysis method and examined four genetic models for each genotype region of the data set: dominant (TT + CT vs. CC), recessive (TT vs. CT + TT), over-dominant (TT + CC vs. CT), and co-dominant (TT vs. CT, TT vs. CC, and CT vs. CC). Standard mean differences (SMD), standard errors, and 95% confidence intervals were calculated to assess the strength of the relationship between the yield trait averages of the gene variants. The fixed model was applied when study results were homogeneous, and the random-effects model was applied when they were heterogeneous. The estimation of heterogeneity was calculated based on the I2 statistic. For SMD results, Hedges' method was used for the number of studies was low. All statistical analyses were performed using STATA version 11.2. A p-value less than 0.05 was considered statistically significant. According to the results of the test applied in the published studies examining the relationship between IGF-1 polymorphism and milk yield traits, it is seen that there is no publication bias. The results of the evaluation according to genetic models indicate that the associations of the IGF-1 gene with other yield traits should generally be examined using a codominant genetic model. The IGF-1 gene polymorphism appears to have limited effects on lactation milk yield, fat yield, fat content, protein yield, and protein content in cattle. While there was generally no significant overall effect of the IGF-1 gene polymorphism on milk yield, significant differences were observed between TT-CT genotypes for fat yield and fat content, and between TT-CC and TT-CT genotypes for protein yield and protein content. The impact of IGF-1 gene polymorphism on milk yield traits may vary according to genotype and specific breeding traits.

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Publication Details

Journal
Journal of the Hellenic Veterinary Medical Society
Published
2025-04-18
DOI
https://doi.org/10.12681/jhvms.35938
Primary Topic
Growth Hormone and Insulin-like Growth Factors
Type
article
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article

A meta-analysis on the relationship between IGF-1 gene polymorphism and milk production traits in cattle

Siyami Karaca, Memiş Özdemir
Journal of the Hellenic Veterinary Medical Society
Growth Hormone and Insulin-like Growth Factors
article

A meta-analysis on the relationship between IGF-1 gene polymorphism and milk production traits in cattle

Siyami Karaca, Memiş Özdemir
article en

Abstract

This study aims to investigate whether a more reliable and common result can be obtained by using the meta-analysis method to analyze the yield results obtained from large ruminant animals, based on previous research findings related to insulin-like growth factor-1 (IGF-1). The results of this analysis can provide important contributions to breeding programs and animal husbandry practices and maximize the genetic potential of cattle and increase efficiency in milk production. The study employed the meta-analysis method and examined four genetic models for each genotype region of the data set: dominant (TT + CT vs. CC), recessive (TT vs. CT + TT), over-dominant (TT + CC vs. CT), and co-dominant (TT vs. CT, TT vs. CC, and CT vs. CC). Standard mean differences (SMD), standard errors, and 95% confidence intervals were calculated to assess the strength of the relationship between the yield trait averages of the gene variants. The fixed model was applied when study results were homogeneous, and the random-effects model was applied when they were heterogeneous. The estimation of heterogeneity was calculated based on the I2 statistic. For SMD results, Hedges' method was used for the number of studies was low. All statistical analyses were performed using STATA version 11.2. A p-value less than 0.05 was considered statistically significant. According to the results of the test applied in the published studies examining the relationship between IGF-1 polymorphism and milk yield traits, it is seen that there is no publication bias. The results of the evaluation according to genetic models indicate that the associations of the IGF-1 gene with other yield traits should generally be examined using a codominant genetic model. The IGF-1 gene polymorphism appears to have limited effects on lactation milk yield, fat yield, fat content, protein yield, and protein content in cattle. While there was generally no significant overall effect of the IGF-1 gene polymorphism on milk yield, significant differences were observed between TT-CT genotypes for fat yield and fat content, and between TT-CC and TT-CT genotypes for protein yield and protein content. The impact of IGF-1 gene polymorphism on milk yield traits may vary according to genotype and specific breeding traits.

Journal of the Hellenic Veterinary Medical SocietyVol. 76(1)
Atatürk University (TR)
Openalex Percentile: Top 88%
Growth Hormone and Insulin-like Growth Factors
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