title: Let-7 related genetic variation and risk of metabolic syndrome in a Chinese population.
abstract: MicroRNA (miRNA) related genetic variation may change miRNA binding affinity and mRNA expression levels of the target genes, thus leading to altered metabolic parameters. This study explored the influence of let-7 related single nucleotide polymorphisms (SNPs) on individual susceptibility to metabolic syndrome (MetS) in a Chinese population. Seven SNPs located at the pri-let-7 gene region, pre-let-7 gene region or 3'-UTR of the KRAS gene were selected. The SNPs were genotyped in 503 MetS patients and 529 normal controls using the high-throughput Sequenom genotyping platform. Unconditional logistic regression analysis was utilized to estimate the association between these SNPs and the risk of MetS. There are three SNPs significantly associated with MetS. The A allele of rs17276588 was associated with an increased risk effect for MetS (Adjusted OR=1.75, 95%CI 1.37-2.25, P<0.001). Rs10993081 AG genotype was significantly associated with an increased risk of MetS compared with AA genotypes (Adjusted OR=1.42, 95%CI 1.11-1.83, P=0.006). Rs10877887 TC genotype was significantly associated with an increased risk of MetS compared with TT genotypes (Adjusted OR=1.52, 95% CI 1.16-1.99, P=0.002). Additionally, interactions between rs7045890 and rs712, rs17276588 and rs10877887 were significantly associated with risk of MetS. In conclusion, our study found that let-7 related genetic variation is associated with MetS and may contribute to the susceptibility of MetS. Larger, prospective studies are warranted to validate our findings.
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China.
authors.forename: Yu-Xiang
authors.initials: YX
authors.lastname: Yan
authors.forename: Li-Juan
authors.initials: LJ
authors.lastname: Wu
authors.forename: Jie
authors.initials: J
authors.lastname: Zhang
authors.forename: Shuo
authors.initials: S
authors.lastname: Wang
authors.forename: Wei
authors.initials: W
authors.lastname: Wang
authors.forename: Jing
authors.initials: J
authors.lastname: Dong
authors.forename: Yan
authors.initials: Y
authors.lastname: He
mesh_terms: D000328:Adult; D000368:Aged; D000483:Alleles; D000068476:Beijing; D016022:Case-Control Studies; D002881:Chromosomes, Human, Pair 12; D002899:Chromosomes, Human, Pair 9; D041321:Chromosomes, Human, X; D005260:Female; D056726:Genetic Association Studies; D020022:Genetic Predisposition to Disease; D059014:High-Throughput Nucleotide Sequencing; D006785:Hospitals, University; D006801:Humans; D016015:Logistic Models; D008297:Male; D024821:Metabolic Syndrome / Q000235:genetics* / Q000378:metabolism; D035683:MicroRNAs / Q000737:chemistry / Q000378:metabolism*; D008875:Middle Aged; D020641:Polymorphism, Single Nucleotide
chemical_list: D035683:MicroRNAs; C487931:mirnlet7 microRNA, human