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International Journal of Hypertension
Volume 2012 (2012), Article ID 859219, 8 pages
http://dx.doi.org/10.1155/2012/859219
Research Article

Multilocus Family-Based Association Analysis of Seven Candidate Polymorphisms with Essential Hypertension in an African-Derived Semi-Isolated Brazilian Population

1Centro de Estudos do Genoma Humano and Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, 11461 São Paulo, SP, Brazil
2Laboratório de Genética Molecular, Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, SP, 11461 São Paulo, Brazil
3Instituto do Coração (InCor), Faculdade de Medicina, Universidade de São Paulo, 11461 São Paulo, SP, Brazil
4Departamento de Pediatria, Instituto da Criança, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, 11461 São Paulo, SP, Brazil

Received 9 May 2012; Accepted 11 July 2012

Academic Editor: Monica Domenech

Copyright © 2012 L. Kimura et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S. M. Williams, M. D. Ritchie, J. A. Phillips III et al., “Multilocus analysis of hypertension: a hierarchical approach,” Human Heredity, vol. 57, pp. 28–38, 2004. View at Publisher · View at Google Scholar
  2. T. V. Pereira, M. Rudnicki, B. M. Y. Cheung et al., “Three endothelial nitric oxide (NOS3) gene polymorphisms in hypertensive and normotensive individuals: meta-analysis of 53 studies reveals evidence of publication bias,” Journal of Hypertension, vol. 25, no. 9, pp. 1763–1774, 2007. View at Publisher · View at Google Scholar · View at Scopus
  3. T. V. Pereira, A. C. F. Nunes, M. Rudnicki, Y. Yamada, A. C. Pereira, and J. E. Krieger, “Meta-analysis of the association of 4 angiotensinogen polymorphisms with essential hypertension: a role beyond M235T?” Hypertension, vol. 51, no. 3, pp. 778–783, 2008. View at Publisher · View at Google Scholar · View at Scopus
  4. G. G. B. L. Ribeiro, K. Abe-Sandes, R. D. S. S. Barcelos, M. D. N. Klautau-Guimarães, W. A. D. S. Junior, and S. F. D. Oliveira, “Who were the male founders of rural Brazilian Afro-derived communities? A proposal based on three populations,” Annals of Human Biology, vol. 38, no. 2, pp. 237–240, 2011. View at Publisher · View at Google Scholar · View at Scopus
  5. L. G. Lopes Maciel, E. MRibeiro-Rodrigues, N. P. Carneiro Dos Santos, Â. Ribeiro-dos-Santos, J. F. Guerreiro, and S. Santos, “Afro-derived Amazonian populations: inferring continental ancestry and population substructure,” Human Biology, vol. 83, pp. 627–636, 2011. View at Publisher · View at Google Scholar
  6. W. A. Da Silva Jr., M. C. Bortolini, D. Meyer et al., “Genetic diversity of two African and sixteen South American populations determined on the basis of six hypervariable loci,” American Journal of Physical Anthropology, vol. 109, pp. 425–437, 1999. View at Google Scholar
  7. H. S. Ferreira, M. L. Lamenha, A. F. Xavier Junior, J. C. Cavalcante, and A. M. Santos, “Nutrition and health in children from former slave communities (quilombos) in the state of Alagoas, Brazil,” Revista de Saúde Pública, vol. 30, pp. 51–58, 2011. View at Google Scholar
  8. C. B. Angeli, L. Kimura, M. T. Auricchio et al., “Multilocus analyses of seven candidate genes suggest interacting pathways for obesity-related traits in Brazilian Populations,” Obesity, vol. 19, no. 6, pp. 1244–1251, 2011. View at Publisher · View at Google Scholar · View at Scopus
  9. R. C. Mingroni-Netto, C. B. Angeli, M. T. B. M. Auricchio et al., “Distribution of CGG repeats and FRAXAC1/DXS548 alleles in South American populations,” American Journal of Medical Genetics, vol. 111, no. 3, pp. 243–252, 2002. View at Publisher · View at Google Scholar · View at Scopus
  10. M. T. B. D. M. Auricchio, J. P. Vicente, D. Meyer, and R. C. Mingroni-Netto, “Frequency and origins of hemoglobin S mutation in African-derived Brazilian populations,” Human Biology, vol. 79, no. 6, pp. 667–677, 2007. View at Google Scholar · View at Scopus
  11. M. D. Tobin, N. A. Sheehan, K. J. Scurrah, and P. R. Burton, “Adjusting for treatment effects in studies of quantitative traits: antihypertensive therapy and systolic blood pressure,” Statistics in Medicine, vol. 24, no. 19, pp. 2911–2935, 2005. View at Publisher · View at Google Scholar · View at Scopus
  12. T. V. Pereira, N. A. Patsopoulos, G. Salanti, and J. P. A. Ioannidis, “Discovery properties of genome-wide association signals from cumulatively combined data sets,” American Journal of Epidemiology, vol. 170, no. 10, pp. 1197–1206, 2009. View at Publisher · View at Google Scholar · View at Scopus
  13. N. M. Laird, S. Horvath, and X. Xu, “Implementing a unified approach to family-based tests of association,” Genetic Epidemiology, vol. 19, supplement 1, pp. S36–S42, 2000. View at Google Scholar
  14. T. Cattaert, V. Urrea, A. C. Naj et al., “FAM-MDR: a flexible family-based multifactor dimensionality reduction technique to detect epistasis using related individuals,” PLoS ONE, vol. 5, no. 4, Article ID e10304, 2010. View at Publisher · View at Google Scholar · View at Scopus
  15. M. L. Calle, V. Urrea, G. Vellalta, N. Malats, and K. V. Steen, “Improving strategies for detecting genetic patterns of disease susceptibility in association studies,” Statistics in Medicine, vol. 27, no. 30, pp. 6532–6546, 2008. View at Google Scholar · View at Scopus
  16. J. R. González, J. L. Carrasco, F. Dudbridge, L. Armengol, X. Estivill, and V. Moreno, “Maximizing association statistics over genetic models,” Genetic Epidemiology, vol. 32, no. 3, pp. 246–254, 2008. View at Publisher · View at Google Scholar · View at Scopus
  17. X. Y. Lou, G. B. Chen, L. Yan et al., “A generalized combinatorial approach for detecting gene-by-gene and gene-by-environment interactions with application to nicotine dependence,” American Journal of Human Genetics, vol. 80, no. 6, pp. 1125–1137, 2007. View at Publisher · View at Google Scholar · View at Scopus
  18. D. A. Tregouet and V. Garelle, “A new JAVA interface implementation of THESIAS: testing haplotype effects in association studies,” Bioinformatics, vol. 23, no. 8, pp. 1038–1039, 2007. View at Publisher · View at Google Scholar · View at Scopus
  19. S. R. G. Ferreira, E. C. de Moura, D. C. Malta, and F. Sarno, “Frequency of arterial hypertension and associated factors: Brazil, 2006,” Revista de Saúde Pública, vol. 43, supplement 2, pp. 98–106, 2009. View at Publisher · View at Google Scholar · View at Scopus
  20. R. X. Piccini, L. A. Facchini, E. Tomasi et al., “Promotion, prevention and arterial hypertension care in Brazil,” Revista de Saúde Pública, vol. 46, no. 3, pp. 543–550, 2012. View at Publisher · View at Google Scholar
  21. C. M. de Oliveira, A. C. Pereira, M. de Andrade, J. M. Soler, and J. E. Krieger, “Heritability of cardiovascular risk factors in a Brazilian population: Baependi Heart Study,” BMC Medical Genetics, vol. 9, article 32, 2008. View at Publisher · View at Google Scholar · View at Scopus
  22. J. L. Hall, D. A. Duprez, A. Barac, and S. S. Rich, “A review of genetics, arterial stiffness, and blood pressure in african americans,” Journal of Cardiovascular Translational Research, vol. 5, no. 3, pp. 302–308, 2012. View at Publisher · View at Google Scholar
  23. A. D. Johnson, C. Newton-Cheh, D. I. Chasman et al., “Association of hypertension drug target genes with blood pressure and hypertension in 86 588 individuals,” Hypertension, vol. 57, no. 5, pp. 903–910, 2011. View at Publisher · View at Google Scholar · View at Scopus
  24. N. H. Cotrim, M. T. B. M. Auricchio, J. P. Vicente, P. A. Otto, and R. C. Mingroni-Netto, “Polymorphic Alu insertions in six Brazilian African-derived populations,” American Journal of Human Biology, vol. 16, no. 3, pp. 264–277, 2004. View at Publisher · View at Google Scholar · View at Scopus
  25. P. G. Bagos, A. L. Elefsinioti, G. K. Nikolopoulos, and S. J. Hamodrakas, “The GNB3 C825T polymorphism and essential hypertension: a meta-analysis of 34 studies including 14 094 cases and 17 760 controls,” Journal of Hypertension, vol. 25, no. 3, pp. 487–500, 2007. View at Publisher · View at Google Scholar · View at Scopus
  26. W. Niu and Y. Qi, “Association of α-adducin and G-protein β3 genetic polymorphisms with hypertension: a meta-analysis of Chinese populations,” PLoS ONE, vol. 6, no. 2, Article ID e17052, 2011. View at Publisher · View at Google Scholar · View at Scopus
  27. B. Li, D. Ge, Y. Wang et al., “G protein β3 subunit gene variants and essential hypertension in the northern Chinese Han population,” Annals of Human Genetics, vol. 69, no. 4, pp. 468–473, 2005. View at Publisher · View at Google Scholar · View at Scopus
  28. T. Johnson, T. R. Gaunt, S. J. Newhouse et al., “Blood pressure loci identified with a gene-centric array,” American Journal of Human Genetics, vol. 89, pp. 688–700, 2011. View at Publisher · View at Google Scholar
  29. G. D. Kitsios and E. Zintzaras, “An NOS3 haplotype is protective against hypertension in a Caucasian Population,” International Journal of Hypertension, vol. 2010, Article ID 865031, 2010. View at Google Scholar
  30. M. P. Martinez Cantarin, A. Ertel, S. Deloach et al., “Variants in genes involved in functional pathways associated with hypertension in African Americans,” Clinical and Translational Science, vol. 3, no. 6, pp. 279–286, 2010. View at Publisher · View at Google Scholar · View at Scopus
  31. R. C. Harris, “Abnormalities in renal dopamine signaling and hypertension: the role of GRK4,” Current Opinion in Nephrology and Hypertension, vol. 21, pp. 61–65, 2012. View at Publisher · View at Google Scholar
  32. J. Yatabe, M. S. Yatabe, M. Yoneda et al., “Hypertension-related gene polymorphisms of G-protein-coupled receptor kinase 4 are associated with NT-proBNP concentration in normotensive healthy adults,” International Journal of Hypertension, vol. 2012, Article ID 806810, 2012. View at Google Scholar