Akademik Veri Yönetim Sistemi
Agricultural Research, 2026 (ESCI, Scopus)
There is a regular need for quantitative summaries of literature data in some areas of animal research, such as nutrition, genetics and breeding. In such cases, meta-analyses must be used to analyze summary data. The aim of current systematic review and meta-analysis is to investigate effects of g.17,924 A > G SNP on some fatty acid composition in the muscle of cattle. A total of 11 studies from 2007 to 2023 were included in the comprehensive search. Three co-dominant models (AA versus AG), (AA versus GG), and (AG versus GG) were used to analyze data. The standardized mean difference (SMD) was used to measure the size effects of the A and G alleles of g.17,924 A > G polymorphism on fatty composition. 95% confidence intervals were calculated using random/fixed effect models. Heterogeneity among studies and statistical stability of overall estimates were assessed using I2 tests by Stata 11.2 software. Higher heterogeneity was observed among the studies showed higher genetic diversity. The results of this meta-analysis showed significant association between g.17,924 A > G SNP and Oleic acid (C18:1), myristic acid (14:00), myristoleic acid (14:0). and monounsaturated fatty acids (MUFA) (P < 0.01). No Significant association revealed between g.17,924 A > G SNP and linolenic acid (C18:3). It was concluded that g.17,924 A > G SNP of FASN gene polymorphisms could be utilized as good markers to improve fatty acid composition in the muscle of cattle breeds.