CYP2C19 and ABCB1 gene polymorphisms are differently distributed according to ethnicity in the Brazilian general population

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79
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article
Data de publicação
2011
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BIOMED CENTRAL LTD
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BMC MEDICAL GENETICS, v.12, article ID 13, 7p, 2011
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Background: Recent studies have reported the clinical importance of CYP2C19 and ABCB1 polymorphisms in an individualized approach to clopidogrel treatment. The aims of this study were to evaluate the frequencies of CYP2C19 and ABCB1 polymorphisms and to identify the clopidogrel-predicted metabolic phenotypes according to ethnic groups in a sample of individuals representative of a highly admixtured population. Methods: One hundred and eighty-three Amerindians and 1,029 subjects of the general population of 4 regions of the country were included. Genotypes for the ABCB1c.C3435T (rs1045642), CYP2C19*2 (rs4244285), CYP2C19*3 (rs4986893), CYP2C19*4 (rs28399504), CYP2C19*5 (rs56337013), and CYP2C19*17 (rs12248560) polymorphisms were detected by polymerase chain reaction followed by high resolution melting analysis. The CYP2C19*3, CYP2C19*4 and CYP2C19*5 variants were genotyped in a subsample of subjects (300 samples randomly selected). Results: The CYP2C19*3 and CYP2C19*5 variant alleles were not detected and the CYP2C19*4 variant allele presented a frequency of 0.3%. The allelic frequencies for the ABCB1c.C3435T, CYP2C19*2 and CYP2C19*17 polymorphisms were differently distributed according to ethnicity: Amerindian (51.4%, 10.4%, 15.8%); Caucasian descent (43.2%, 16.9%, 18.0%); Mulatto (35.9%, 16.5%, 21.3%); and African descent (32.8%, 20.2%, 26.3%) individuals, respectively. As a result, self-referred ethnicity was able to predict significantly different clopidogrel-predicted metabolic phenotypes prevalence even for a highly admixtured population. Conclusion: Our findings indicate the existence of inter-ethnic differences in the ABCB1 and CYP2C19 variant allele frequencies in the Brazilian general population plus Amerindians. This information could help in stratifying individuals from this population regarding clopidogrel-predicted metabolic phenotypes and design more cost-effective programs towards individualization of clopidogrel therapy.
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Referências
  1. ALVIM RO, LIPIDS HLTH DIS, V9, P128
  2. Ramsjo M, 2010, EUR J CLIN PHARMACOL, V66, P871, DOI 10.1007/s00228-010-0835-0
  3. Sugimoto K, 2008, BRIT J CLIN PHARMACO, V65, P437, DOI 10.1111/j.1365-2125.2007.03057.x
  4. Hoffmeyer S, 2000, P NATL ACAD SCI USA, V97, P3473, DOI 10.1073/pnas.050585397
  5. Geisler T, 2008, PHARMACOGENOMICS, V9, P1251, DOI 10.2217/14622416.9.9.1251
  6. Mega JL, 2009, NEW ENGL J MED, V360, P354, DOI 10.1056/NEJMoa0809171
  7. Sibbing D, 2009, EUR HEART J, V30, P916, DOI 10.1093/eurheartj/ehp041
  8. Bernal ML, 2003, THER DRUG MONIT, V25, P107, DOI 10.1097/00007691-200302000-00016
  9. Sim SC, 2006, CLIN PHARMACOL THER, V79, P103, DOI 10.1016/j.clpt.2005.10.002
  10. Gladding P, 2008, JACC-CARDIOVASC INTE, V1, P620, DOI 10.1016/j.jcin.2008.09.008
  11. MILLER SA, 1988, NUCLEIC ACIDS RES, V16, P1215, DOI 10.1093/nar/16.3.1215
  12. Chang M, 1995, PHARMACOGENETICS, V5, P358, DOI 10.1097/00008571-199512000-00004
  13. Scordo MG, 2004, PHARMACOL RES, V50, P195, DOI 10.1016/j.phrs.2004.01.004
  14. Simon T, 2009, NEW ENGL J MED, V360, P363, DOI 10.1056/NEJMoa0808227
  15. Makdisse M, 2008, ARQ BRAS CARDIOL, V91, P370
  16. Ragia G, 2009, PHARMACOGENOMICS, V10, P43, DOI 10.2217/14622416.10.1.43
  17. Ameyaw MM, 2001, PHARMACOGENETICS, V11, P217, DOI 10.1097/00008571-200104000-00005
  18. Aynacioglu AS, 1999, CLIN PHARMACOL THER, V66, P185, DOI 10.1053/cp.1999.v66.100072001
  19. Collet JP, 2009, LANCET, V373, P309, DOI 10.1016/S0140-6736(08)61845-0
  20. Taubert D, 2006, CLIN PHARMACOL THER, V80, P486, DOI 10.1016/j.clpt.2006.07.007
  21. Goldstein JA, 1997, PHARMACOGENETICS, V7, P59, DOI 10.1097/00008571-199702000-00008
  22. Kazui M, DRUG METAB DISPOS, V38, P92
  23. Li YH, 2006, SWISS MED WKLY, V136, P377
  24. Limdi NA, BLOOD, V115, P3827
  25. MICHELSON AD, NAT REV DRUG DISCOV, V9, P154
  26. Mrozikiewicz PM, 2007, INT J GYNECOL CANCER, V17, p728A, DOI 10.1111/j.1525-1438.2007.00821.x
  27. Ozawa Shogo, 2004, Drug Metab Pharmacokinet, V19, P83, DOI 10.2133/dmpk.19.83
  28. Roberts R. L., 2002, Pharmacogenomics Journal, V2, P191, DOI 10.1038/sj.tpj.6500099
  29. ROSS KA, J HUM GENET, V55, P582
  30. SANTOS DG, BMC MED GENET, V11, P89
  31. SANTOS PC, BRAZ J MED BIOL RES, V43, P107
  32. SIBBING D, CIRCULATION, V121, P512
  33. Steinhubl SR, CIRCULATION, V121, P481
  34. TRENK D, 2008, J AM COLL CARDIOL A, V51, pA226