Genomic African and Native American Ancestry and Chagas Disease: The Bambui (Brazil) Epigen Cohort Study of Aging

Carregando...
Imagem de Miniatura
Citações na Scopus
8
Tipo de produção
article
Data de publicação
2016
Título da Revista
ISSN da Revista
Título do Volume
Editora
PUBLIC LIBRARY SCIENCE
Autores
LIMA-COSTA, M. Fernanda
MACINKO, James
MAMBRINI, Juliana Vaz de Mello
PEIXOTO, Sergio Viana
TARAZONA-SANTOS, Eduardo
RIBEIRO, Antonio Luiz Pinho
Citação
PLOS NEGLECTED TROPICAL DISEASES, v.10, n.5, article ID e0004724, 14p, 2016
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Background The influence of genetic ancestry on Trypanosoma cruzi infection and Chagas disease outcomes is unknown. Methodology/Principal Findings We used 370,539 Single Nucleotide Polymorphisms (SNPs) to examine the association between individual proportions of African, European and Native American genomic ancestry with T. cruzi infection and related outcomes in 1,341 participants (aged >= 60 years) of the Bambui (Brazil) population-based cohort study of aging. Potential confounding variables included sociodemographic characteristics and an array of health measures. The prevalence of T. cruzi infection was 37.5% and 56.3% of those infected had a major ECG abnormality. Baseline T. cruzi infection was correlated with higher levels of African and Native American ancestry, which in turn were strongly associated with poor socioeconomic circumstances. Cardiomyopathy in infected persons was not significantly associated with African or Native American ancestry levels. Infected persons with a major ECG abnormality were at increased risk of 15-year mortality relative to their counterparts with no such abnormalities (adjusted hazard ratio = 1.80; 95% 1.41, 2.32). African and Native American ancestry levels had no significant effect modifying this association. Conclusions/Significance Our findings indicate that African and Native American ancestry have no influence on the presence of major ECG abnormalities and had no influence on the ability of an ECG abnormality to predict mortality in older people infected with T. cruzi. In contrast, our results revealed a strong and independent association between prevalent T. cruzi infection and higher levels of African and Native American ancestry. Whether this association is a consequence of genetic background or differential exposure to infection remains to be determined.
Palavras-chave
Referências
  1. Alexander DH, 2009, GENOME RES, V19, P1655, DOI 10.1101/gr.094052.109
  2. American Diabetes Association, 2010, DIABETES CARE S1, V33, pS62, DOI 10.2337/DC10-S062
  3. BARUFFA G, 1987, Memorias do Instituto Oswaldo Cruz, V82, P399
  4. Basquiera AL, 2003, HEART, V89, P1186, DOI 10.1136/heart.89.10.1186
  5. Bern C, 2009, CLIN INFECT DIS, V49, pE52, DOI 10.1086/605091
  6. Bonney KM, 2014, PARASITE, V21, DOI 10.1051/parasite/2014012
  7. Bryc K, 2010, P NATL ACAD SCI USA, V107, P786, DOI 10.1073/pnas.0909559107
  8. Cantey PT, 2012, TRANSFUSION, V52, P1922, DOI 10.1111/j.1537-2995.2012.03581.x
  9. Chobanian AV, 2003, JAMA-J AM MED ASSOC, V289, P2560, DOI 10.1001/jama.289.19.2560
  10. Costa MFFLE, 2001, INT J EPIDEMIOL, V30, P887, DOI 10.1093/ije/30.4.887
  11. Cunha-Neto E, 2011, ADV PARASIT, V76, P129, DOI 10.1016/B978-0-12-385895-5.00006-2
  12. Deng XT, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0079629
  13. Lima-Costa MF, 2012, AM J PUBLIC HEALTH, V102, P1535, DOI 10.2105/AJPH.2012.300765
  14. Kehdy FSG, 2015, P NATL ACAD SCI USA, V112, P8696, DOI 10.1073/pnas.1504447112
  15. Lee BY, 2013, LANCET INFECT DIS, V13, P342, DOI 10.1016/S1473-3099(13)70002-1
  16. Lima-Costa MF, 2016, HYPERTENSION, V67, P349, DOI 10.1161/HYPERTENSIONAHA.115.06609
  17. Lima-Costa MF, 2015, SCI REP-UK, V5, DOI 10.1038/srep09812
  18. Lima-Costa MF, 2011, INT J EPIDEMIOL, V40, P862, DOI 10.1093/ije/dyq143
  19. Lima-Costa MF, 2010, STROKE, V41, P2477, DOI 10.1161/STROKEAHA.110.588061
  20. Lima-Costa MF, 2010, INT J CARDIOL, V145, P362, DOI 10.1016/j.ijcard.2010.02.036
  21. Lima-Costa MF, 2015, PLOS ONE, V10, DOI [10.1371/journal.pone.0144456, DOI 10.1371/J0URNAL.P0NE.0144456]
  22. Long SJ, 2006, REGRESSION MODELS CA
  23. Montenegro RA, 2006, LANCET, V367, P1859, DOI 10.1016/S0140-6736(06)68808-9
  24. Moreno-Estrada A, 2013, PLOS GENET, V9, DOI [10.1371/journal.pgen.1003925, DOI 10.1371/J0URNAL.PGEN.1003925]
  25. Prata A, 2001, Lancet Infect Dis, V1, P92, DOI 10.1016/S1473-3099(01)00065-2
  26. Prineas RJ, 1982, MINNESOTA CODE MANUA
  27. Prineas RJ, 2010, MINNESOTA CODE MANUA
  28. Ribeiro AL, 2012, NAT REV CARDIOL, V9, P576, DOI 10.1038/nrcardio.2012.109
  29. Ribeiro ALP, 2014, J AM HEART ASSOC, V3, DOI 10.1161/JAHA.113.000632
  30. ROSE GA, 1962, B WORLD HEALTH ORGAN, V27, P645
  31. Ruiz-Linares A, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004572
  32. Schmunis GA, 2010, ACTA TROP, V115, P14, DOI 10.1016/j.actatropica.2009.11.003
  33. Silva-Grecco RL, 2010, AM J TROP MED HYG, V82, P45, DOI 10.4269/ajtmh.2010.08-0626
  34. Telles Edward, 2004, RACE ANOTHER AM SIGN
  35. Thornton T, 2012, AM J HUM GENET, V91, P122, DOI 10.1016/j.ajhg.2012.05.024
  36. Travassos C, 2011, INT J EQUITY HEALTH, V10, DOI 10.1186/1475-9276-10-35
  37. WHO, 2015, WKLY EPIDEMIOL REC, V90, P33
  38. Williams-Blangero S, 2011, ADV PARASIT, V75, P147, DOI 10.1016/B978-0-12-385863-4.00007-1