Objective: To investigate the distribution characters and linkage disequilibrium of single nucleotide polymorphisms (SNPs) -148C/T, -455G/A and -854G/A in the promoter region of fibrinogen B(FGB) beta gene.
Methods: Genotype and allele frequencies of FGB beta gene were examined by polymerase chain reaction-restriction fragment length polymorphism and nucleotide sequencing methods in 377 Chinese southern Han individuals. Three FGB beta SNPs Hardy-Weinberg equilibrium and linkage disequilibrium were analyzed with population genetics methods.
Results: The allele frequencies of 3 SNPs are in good agreement with Hardy-Weinberg equilibrium. A total of 9 genotypes among the 377 individuals were identified in 3 SNPs. The genotype frequencies of -148CC, CT and TT were 0.597, 0.358 and 0.045, respectively; the -455G/A genotype frequencies were the same as that of -148C/T SNP; the genotype frequencies of -854GG,GA, AA were 0.820,0.178,0.002, respectively. The frequencies of rare allele -148T, -455A and -854A were 0.224,0.224 and 0.092, respectively, while the common allele frequencies were 0.776 for -148C, 0.776 for -455G, and 0.908 for -854G. There were no statistically significant differences in genotype and allele frequencies between the male and female groups (P>0.05). The relationship between -455G and -148C was completely concordant, but there was a random distribution between -854 and -148 (-445) SNPs.
Conclusion: The results show there is a complete linkage disequilibrium between -148C/T and -455G/A and a negative linkage disequilibrium between -854G/A and -148C/T, as well as between -854G/A and -455G/A. This study has provided population genetics data on FGB beta gene promoter in Chinese southern Han population.
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Horses are animals traditionally playing prominent role as both food source and working animals for Kazakh people. Zhabe horses are traditional type of indigenous Kazakh horses characterized by versatility and adaptation to conditions of Central Asia. The present work focuses on examination of genetic structure of Zhabe horses using SNP genotyping with addition of previously published data.
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