Yogesh C. Bangar, Ankit Magotra, A.S. Yadav, C.S. Patil
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The heterogeneity between effects sizes across studies was estimated using I<sup>2</sup> Index (%).</p></div><div><h3>Results</h3><p>The common effect size for gene frequency of allele C (224, 105 bp) was significantly (<em>P</em> < 0.05) higher in 2881 <span><em>Bos taurus</em></span>/cross cows (0.82; 95% CI: 0.74, 0.89; I<sup>2</sup> = 97.81%) than 1283 <span><em>Bos indicus</em></span> cows (0.15; 95% CI: 0.12, 0.18; I<sup>2</sup> = 71.90%), with overall gene frequency was 0.33 (95% CI: 0.21, 0.46; I<sup>2</sup> = 99.29%). Additive (CC vs. DD) and dominant (CC + CD vs. DD) did not revealed significant (<em>P</em> > 0.05) association with milk yield. However, completely over dominant (CC + DD vs. CD) and recessive (CC vs. CD + DD) models showed significant (<em>P</em><span> < 0.05) and positive SMDs with milk yield specially at early lactations. There was no evidence of heterogeneity (I</span><sup>2</sup> = 0.00%) between SMDs across studies.</p></div><div><h3>Conclusions</h3><p>This meta-analysis suggested potential association of C allele for enhancing milk production of dairy cows.</p></div>","PeriodicalId":12803,"journal":{"name":"Growth Hormone & Igf Research","volume":"63 ","pages":"Article 101459"},"PeriodicalIF":1.6000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Meta-analysis of MspI derived variants of growth hormone gene associated with milk yield in dairy cattle\",\"authors\":\"Yogesh C. Bangar, Ankit Magotra, A.S. Yadav, C.S. 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引用次数: 0
摘要
目的研究奶牛生长激素(GH)基因MspI衍生变异的基因频率及其与产奶量的关系。方法:我们对2000年至2020年文献检索中已发表的35项研究(n = 4164)进行了系统回顾和荟萃分析。这些研究是针对基因型的片段大小(329)进行的，即CC (224, 105 bp)， CD (329, 224, 105 bp)和DD (329 bp)。利用不同的遗传模型推导出等位基因对间的效应大小。使用I2指数(%)估计各研究间效应大小的异质性。结果等位基因C基因频率的共同效应量(224,105 bp)显著(P <2881头牛/杂交牛(0.82;95% ci: 0.74, 0.89;I2 = 97.81%)高于1283头母牛(0.15;95% ci: 0.12, 0.18;I2 = 71.90%)，总基因频率为0.33 (95% CI: 0.21, 0.46;i2 = 99.29%)。加性(CC vs. DD)和显性(CC + CD vs. DD)无显著差异(P >0.05)与产奶量相关。然而，完全过显性(CC + DD vs. CD)和隐性(CC vs. CD + DD)模型显示显著(P <0.05)， smd阳性与泌乳量有关，尤其是在泌乳早期。没有证据表明不同研究的smd之间存在异质性(I2 = 0.00%)。结论本荟萃分析提示C等位基因与奶牛产奶量的潜在关联。
Meta-analysis of MspI derived variants of growth hormone gene associated with milk yield in dairy cattle
Objective
The present work aimed to obtain common effect sizes for the gene frequency and association of MspI derived variants of growth hormone (GH) gene with milk yield in dairy cows.
Methods
We performed a systematic review and meta-analysis of 35 published studies identified in literature search from 2000 to 2020 (n = 4164). These studies were specific to fragment size (329) for genotypes viz., CC (224, 105 bp), CD (329, 224, 105 bp) and DD (329 bp). Pooled standard mean differences (SMDs) as effect sizes between allele pairs were derived using different genetic models. The heterogeneity between effects sizes across studies was estimated using I2 Index (%).
Results
The common effect size for gene frequency of allele C (224, 105 bp) was significantly (P < 0.05) higher in 2881 Bos taurus/cross cows (0.82; 95% CI: 0.74, 0.89; I2 = 97.81%) than 1283 Bos indicus cows (0.15; 95% CI: 0.12, 0.18; I2 = 71.90%), with overall gene frequency was 0.33 (95% CI: 0.21, 0.46; I2 = 99.29%). Additive (CC vs. DD) and dominant (CC + CD vs. DD) did not revealed significant (P > 0.05) association with milk yield. However, completely over dominant (CC + DD vs. CD) and recessive (CC vs. CD + DD) models showed significant (P < 0.05) and positive SMDs with milk yield specially at early lactations. There was no evidence of heterogeneity (I2 = 0.00%) between SMDs across studies.
Conclusions
This meta-analysis suggested potential association of C allele for enhancing milk production of dairy cows.
期刊介绍：
Growth Hormone & IGF Research is a forum for research on the regulation of growth and metabolism in humans, animals, tissues and cells. It publishes articles on all aspects of growth-promoting and growth-inhibiting hormones and factors, with particular emphasis on insulin-like growth factors (IGFs) and growth hormone. This reflects the increasing importance of growth hormone and IGFs in clinical medicine and in the treatment of diseases.
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