Influence of age on the association of GIRK4 with metabolic syndrome
| Autor: | Hongmei Wang, Ju-hong Zhang, Zhi-tao Yan, Delian Zhang, Nan-fang Li, Jing Hong, Ling Zhou, Xin-ling Wang, Zufeiya A, Yan-ying Guo |
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| Rok vydání: | 2012 |
| Předmět: |
Adult
China Clinical Biochemistry Single-nucleotide polymorphism Biology Bioinformatics Exon Untranslated Regions Genetic variation medicine Humans Missense mutation Promoter Regions Genetic Gene Genotyping Metabolic Syndrome Genetics Reverse Transcriptase Polymerase Chain Reaction Age Factors General Medicine Middle Aged medicine.disease Obesity G Protein-Coupled Inwardly-Rectifying Potassium Channels Case-Control Studies Metabolic syndrome |
| Zdroj: | Annals of Clinical Biochemistry: International Journal of Laboratory Medicine. 49:369-376 |
| ISSN: | 1758-1001 0004-5632 |
| DOI: | 10.1258/acb.2011.011129 |
| Popis: | Background G protein-coupled inward rectifier K+ channel 4 (GIRK4) gene expressions have been implicated in the development of obesity, a key feature of metabolic syndrome (MetS). We investigated whether sequence variants of GIRK4 may represent metabolic risk factors for the Uygur Chinese population. Methods The entire GIRK4 gene, including all exons, the promoter and untranslated regions from 48 MetS individuals, was studied in order to identify genetic variations associated with the disorder. Targeted genotyping of four common single nucleotide polymorphisms (SNPs: rs11221497, rs6590357, rs4937391 and rs2604204) and one novel missense mutation (M210I) was performed using the TaqMan polymerase chain reaction method for 443 MetS and 786 non-MetS subjects. Results When all MetS cases were compared against all non-MetS controls, no significant association was found between the three SNPs (rs2604204, rs4937391 and rs6590357) and MetS status or metabolic traits. After adjustment, rs11221497 was associated with MetS (odds ratio (OR) [95% CI] = 0.731 [0.551–0.968], P= 0.029). Interestingly, when the MetS group was stratified into subclasses by age, an association was found for the three SNPs (rs2604204, rs4937391 and rs6590357) having estimated false discovery rates Conclusions GIRK4 sequence variants appear to associate with MetS in the Uygurian population, and this association may be influenced by age. |
| Databáze: | OpenAIRE |
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