Introduction:

It is important to identify the polymorphisms of clinical interest in complex pathologies such as Metabolic Syndrome. Therefore, the methodologies for its evaluation must be designed and validated correctly, this permits optimization of resources and time in genotyping and correct detection of the alleles present in individuals.

Objective:

To design and validate a multiplex PCR, followed by detection by minisequencing, for the genotyping of eight single nucleotide polymorphisms located in the Beta 3-Adrenergic Receptor gene (rs4994 and rs4998), Apolipoprotein A5 gene (rs3135506 and rs2075291), Adiponectin gene (rs1501299 and rs2241766) and gamma-type Peroxisome Proliferation Activating Receptor gene (rs1801282 and rs1800571), associated with metabolic syndrome.

Materials and methods:

Twenty-four primers were designed for the amplification and detection of eight single nucleotide polymorphisms located in four candidate genes to be associated with the metabolic syndrome, using the Primer3® software. Sixteen were designed to amplify the polymorphisms and eight to detect them by minisequencing. The secondary structures between the primers were verified with Autodimer software. The polymorphisms were simultaneously amplified, and the amplified fragments were coupled to probes designed to minisequence the present allele using fluorochrome-labeled bases. Finally, the alleles were detected by capillary electrophoresis using an ABI 310 genetic analyzer and analyzed with the GeneMapper® software. The validation of the multiplex was performed by genotyping 20 individual samples, each of them authorized this procedure through informed consent.

Results:

The genetic profiles of the 20 genotyped controls were obtained, from multiple amplification, followed by minisequencing, designed and validated to detect the eight polymorphisms.

Conclusion:

An essay was designed and validated for the simultaneous detection of polymorphisms, located in four genes associated with metabolic syndrome, and can used as a reference for future population studies.