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Front Genet. 2018 Nov 28;9:560. doi: 10.3389/fgene.2018.00560. eCollection 2018.

Beta 1, Beta 2 and Beta 3 Adrenergic Receptor Gene Polymorphisms in a Southeastern European Population.

Author information

1
Research Group of Clinical Pharmacology and Pharmacogenomics, Faculty of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Zografou, Greece.
2
Department of Computer Science, University of Illinois at Urbana-Champaign, Champaign, IL, United States.
3
Division of Endocrinology, Metabolism and Diabetes, First Department of Pediatrics, "Aghia Sophia" Children's Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece.
4
Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY, United States.
5
Laboratory of Toxicology, Medical School, University of Crete, Crete, Greece.

Abstract

Genetic polymorphisms in β1-, β2- and β3-adrenergic receptors (β-ARs) have been associated with chronic non-communicable disorders, such as cardiovascular diseases, asthma, chronic obstructive pulmonary disease (COPD) and obesity, as well as β-agonists and antagonists response and toxicity. The purpose of this study was to determine the frequency distribution of ADRB1 genetic variants Ser49Gly and Arg389Gly, ADRB2 variants Gly16Arg and Gln27Glu, ADRB3 variant Trp64Arg in a Southeastern European Caucasian (SEC) population sample and to establish a comparison with existing data from other human populations. A sample of 431 men and 590 women volunteered to participate in this genotyping analysis after anonymization and de-identification. Real Time PCR (Melting Curve Analysis) followed DNA extraction from buccal swabs and statistical analysis of the results was performed. The allele frequencies in the SEC population were Ser49 (90.3%), Arg389 (69.49%), Gly16 (61.61%), Gln27 (65.72%), and Trp64 (94.52%), while a Hardy-Weinberg Equilibrium (HWE) was detected in the population studied. Comparisons for the Ser49Gly, Gln27Glu, and Trp64Arg allele distributions demonstrated significant differences between SEC and the European group. European subgroups comparisons showed that allele distributions were similar for four of the five SNPs between SEC and Southwestern European Caucasians (SWC), while they were quite distinct from the Northwestern European Caucasians (NWC). These data underline the importance of interethnic variability of β-ARs genetic polymorphisms.

KEYWORDS:

Arg389Gly; Gln27Glu; Gly16Arg; Ser49Gly; Trp64Arg; personalized medicine; pharmacogenomics; single nucleotide polymorphisms

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