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Updated: Mar 3, 2026

Investigating the Pathogenesis of MYH7 Mutation Gly823Glu in Familial Hypertrophic Cardiomyopathy using a Mouse Model
Published on: August 8, 2022
The association of eight potentially functional polymorphisms in five adrenergic receptor-encoding genes with
Kun Xia1, Rongjing Ding2, Zhiyong Zhang1
1Heart Center, Beijing Chao Yang Hospital, Capital Medical University, Beijing, China.
Abstract:
Adrenergic receptors play a key role in activating the sympathetic nervous system, which often accompanies with the development of myocardial infarction (MI). Here, we aimed to test the association of eight potentially functional polymorphisms in five adrenergic receptor-encoding genes with MI risk. Genotypes were available for 717 MI patients and 612 controls. There were no detectable deviations from the Hardy-Weinberg equilibrium for all study polymorphisms. Allele frequencies differed remarkably for ADRA2B D/I (P<0.001), ADRB1 Ser49Gly (P=0.002), ADRB2 Gln27Glu (P=0.005), and ADRB3 Trp64Arg (P<0.001) polymorphisms, even after the Bonferroni correction. Systolic blood pressure was significantly lower in ADRA2B II genotype carriers than in the DD genotype carriers (P=0.006), while plasma high-density lipoprotein cholesterol was significantly higher in patients carrying ADRA2B I allele and ADRB1 49Ser allele than in patients with the DD genotype and 49Gly/49Gly genotype, respectively (P=0.018 and 0.033). Overall best interaction model consisted of ADRA2B D/I, ADRB1 Ser49Gly, dyslipidemia and hypertension, with the highest testing accuracy of 0.627 and the maximal 10-fold cross-validation consistency (P=0.017). Finally, a nomogram was depicted based on four significant polymorphisms and metabolic risk factors, and it had a better predictive utility and was internally validated with a discrimination C-index of 0.723 (P<0.001). Altogether, we identified two polymorphisms, ADRA2B D/I and ADRB1 Ser49Arg, which not only altered genetic susceptibility to MI, but also impacted on blood pressure and plasma lipid changes, and their combination with metabolic risk factors constituted the overall best interaction model.
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