SNPs rs10224002 in PRKAG2 may disturb gene expression and consequently affect hypertension.
Xing-Bo MoHuan ZhangZhengyuan ZhouZhengbao ZhuXinfeng HuangFuTan XuAili WangZhirong GuoYonghong ZhangPublished in: Molecular biology reports (2019)
Genome-wide association studies have identified a large number of genetic loci for blood pressure in European populations. The associations in other populations are needed to determine. The purpose of this study was to examine the associations between the single nucleotide polymorphisms (SNPs) identified in European populations and hypertension in the Chinese Han population, and highlight the potential roles. Seven tag-SNPs were genotyped in 857 hypertension cases and 927 controls to test the associations. The intronic SNP rs10224002 (PRKAG2) which could affect DNase and regulatory motif was associated with hypertension (P = 0.024). This SNP was also found to be associated with coronary artery disease and stroke. We searched for potential functional variants by bioinformatics analysis and found various kinds of variants such as missense mutations, phosphorylation-related SNPs and SNPs that have regulatory potentials in the blood pressure loci. We performed expression quantitative trait locus (eQTL) and differential expression analyses for the identified variants and genes. eQTL analysis found that rs10224002 was associated with PRKAG2 gene expression in peripheral blood (P = 0.0016). PRKAG2 was differentially expressed between hypertension cases and controls (P = 0.0133), coronary artery disease cases and controls (P = 0.02112) and stroke cases and controls (P = 0.0059). Our study demonstrated that SNPs rs10224002 may be associated with hypertension in the Chinese Han population and PRKAG2 may play a role in the etiology of hypertension and cardiovascular diseases.
Keyphrases
- blood pressure
- genome wide
- genome wide association
- dna methylation
- copy number
- gene expression
- coronary artery disease
- hypertensive patients
- heart rate
- cardiovascular disease
- peripheral blood
- percutaneous coronary intervention
- bioinformatics analysis
- poor prognosis
- aortic valve
- transcatheter aortic valve replacement
- metabolic syndrome
- type diabetes
- arterial hypertension
- blood glucose
- genome wide association study
- high density
- long non coding rna
- insulin resistance
- risk assessment
- skeletal muscle
- cardiovascular risk factors