Genetic polymorphisms of the @entity310 @entity15646 are associated with @entity209 in XXXX @entity1 from Hebei province, China.

@entity748 @entity1 @entity40610 @entity28 @entity310 @entity565 @entity15646 @entity209 @entity165
@entity565 is a complex inflammatory disease involving the critical actions of several important cytokines. Epidemiological data show that @entity28 could increase the risk of @entity565 , and insulin resistance, or @entity209 are an important risk factor for @entity28 @entity565 . Some studies identified that upstream of the transcription start site within the @entity310 gene promoter region-308 polymorphism was associated insulin resistance or @entity209 , while this site was closely related to @entity565 . But no research was performed to evaluate the influence of @entity310 @entity15646 polymorphism on @entity209 in @entity748 @entity1 . Here, we recruited 248 @entity748 @entity1 , who were separated into @entity565 with Mets/ @entity565 without Mets groups and 226 matched healthy controls from Hebei Province to evaluate the influence of @entity310 @entity15646 polymorphism on @entity209 in @entity748 @entity1 . Single nucleotide polymorphism of @entity310 -308 locus was genotyped using PCR-RFLP. Some biochemical variables were also determined. Our result showed that the genotypic and allelic frequency of @entity40610 did not show significant difference between @entity748 @entity1 and normal controls. However, the frequency of A allele was signi   cantly higher in @entity565 group with Mets (22.36%) than in controls (15.71%) (P = 0.02; OR = 0.647; 95% CI = 0.447-0.936). After analyzing the relationship between biochemical features of @entity1 and genotype of @entity310 @entity15646 , we found levels of LDL @entity165 , @entity310 and insulin, and HOMA-IR were significantly higher in the @entity748 @entity1 carrying the GA and AA genotypes than in the carriers of GG genotype of @entity40610 (P = 0.029, P = 0.022, P = 0.043, respectively). Thus, our data suggested that @entity310 @entity15646 variation was related to metabolic phenotype in @entity565 @entity1 . Furthermore, we first identified @entity310 -308 A allele was the risk factor for @entity748 @entity1 with Mets in Hebei population, China.
