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A coronary artery disease-associated SNP rs6903956 contributed to asymptomatic hyperuricemia susceptibility in Han Chinese

Overview of attention for article published in Lipids in Health and Disease, April 2015
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Title
A coronary artery disease-associated SNP rs6903956 contributed to asymptomatic hyperuricemia susceptibility in Han Chinese
Published in
Lipids in Health and Disease, April 2015
DOI 10.1186/s12944-015-0026-1
Pubmed ID
Authors

Jianfen Meng, Wenfeng Tan, Yujing Zhu, Fang Wang, Xinli Li, Miaojia Zhang

Abstract

To investigate the association of a coronary artery disease (CAD) risk SNP rs6903956 with asymptomatic hyperuricemia (aHU) susceptibility in Han Chinese. Two hundred and twenty one patients with aHU and 447 healthy controls were recruited for this study. SNP rs6903956 were genotyped using TaqMan probe. The overall genotype and allele frequency distribution of the rs6903956 showed significant difference between aHU cases and controls (p <0.001 for genotype and allele, respectively). AA genotype of rs6903956 was significantly associated with aHU (OR = 8.672, 95% CI 2.811-26.753, p <0.001) in our Han Chinese aHU cohort. Multivariate logistic regression analysis indicated that rs6903956 might be an independent risk factor for aHU susceptibility (OR = 10.642 [2.671- 42.400], p = 0.001 for codominant model and OR = 9.205 [2.336-36.280], p = 0.002 for recessive model) after adjustment for some well- known CAD risk factors including age, gender, body mass index, smoking, hypertension, diabetes mellitus, abnormal glycometabolism, lipid abnormality and alcohol intake. No significant genotype-specific difference in uric acid levels was observed in aHU patients and controls. Our findings are the first to establish a genetic link of a CAD-associated rs6903956 with aHU in a Han Chinese population, providing the genetic evidence to support the close relationship between hyperuricemia and CAD.

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The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 26%
Student > Doctoral Student 2 11%
Researcher 2 11%
Student > Master 2 11%
Professor 1 5%
Other 3 16%
Unknown 4 21%
Readers by discipline Count As %
Medicine and Dentistry 8 42%
Biochemistry, Genetics and Molecular Biology 1 5%
Agricultural and Biological Sciences 1 5%
Nursing and Health Professions 1 5%
Psychology 1 5%
Other 1 5%
Unknown 6 32%