BMC Medical Genomics (Jul 2019)

Copy number variation profiling in pharmacogenetics CYP-450 and GST genes in Colombian population

  • Brian Ramírez,
  • María José Niño-Orrego,
  • Daniel Cárdenas,
  • Kevin Enrique Ariza,
  • Karol Quintero,
  • Nora Constanza Contreras Bravo,
  • Caroll Tamayo-Agudelo,
  • María Alejandra González,
  • Paul Laissue,
  • Dora Janeth Fonseca Mendoza

DOI
https://doi.org/10.1186/s12920-019-0556-x
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 9

Abstract

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Abstract Background Copy Number variation (CNVs) in genes related to drug absorption, distribution, metabolism and excretion (ADME) are relevant in the interindividual variability of drug response. Studies of the CNVs in ADME genes in Latin America population are lacking. The objective of the study was to identify the genetic variability of CNVs in CYP-450 and GST genes in a subgroup of individuals of Colombian origin. Methods Genomic DNA was isolated from 123 healthy individuals from a Colombian population. Multiplex Ligation-Dependent Probe Amplification (MLPA) was performed for the identification of CNVs in 40 genomic regions of 11 CYP-450 and 3 GST genes. The genetic variability, allelic and genotypic frequencies were analyzed. Results We found that 13 out of 14 genes had CNVs: 5 (35.7%) exhibited deletions and duplications, while 8 (57.1%) presented either deletions or duplications.. 33.3% of individuals carried deletions and duplications while 49.6% had a unique type of CNV (deletion or duplication). The allelic frequencies of the CYP and GST genes were 0 to 47.6% (allele null), 0 to 17.5% (duplicated alleles) and 37 to 100% (normal alleles). Conclusions Our results describe, for the first time, the genomic profile of CNVs in a subgroup of Colombian population in GST and CYP-450 genes. GST genes indicated greater genetic variability than CYP-450 genes. The data obtained contributes to the knowledge of genetic profiles in Latin American subgroups. Although the clinical relevance of CNVs has not been fully established, it is a valuable source of pharmacogenetic variability data with potential involvement in the response to medications.

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