1
|
Rivera ARQ, Carvalho CCF, Arantes MK,
Franchetti M, Silva MMF and Alcaraz ZGM: Proteína C-Reativa e
Doença Arterial Coronária. Souza GMR, Piegas LS and Souza JENR:
Série Monografias Dante Pazzanese; Rio de Janeiro: pp. 392004
|
2
|
Furukawa TS, Santo AH and Mathias TAF:
Multiple causes of death related to cerebrovascular diseases in the
State of Parana, Brazil. Rev Bras Epidemiol. 14:231–239. 2011.
View Article : Google Scholar : PubMed/NCBI
|
3
|
Metzger I, Souza-Costa DC and Tanus-Santos
JE: Pharmacogenetics: Principles, Applications and Perspectives.
Medicina in Ribeirão Preto. 39:pp. 515–521. 2006, (In Portuguese).
Available at http://revista.fmrp.usp.br/2006/vol39n4/1_farmacogenetica_principios_aplicacoes_perspec.pdf.
View Article : Google Scholar
|
4
|
Juurlink DN, Mamdani MM, Lee DS, Kopp A,
Austin PC, Laupacis A and Redelmeier DA: Rates of hyperkalemia
after publication of the Randomized Aldactone Evaluation Study. N
Engl J Med. 351:543–551. 2004. View Article : Google Scholar : PubMed/NCBI
|
5
|
Howlett JG, Mckelvie RS, Costigan J, et
al: The 2010 Canadian Cardiovascular Society guidelines for the
diagnosis and management of heart failure update: heart failure in
ethnic minority populations, heart failure and pregnancy, disease
management, and quality improvement/assurance programs. Can J
Cardiol. 26:185–202. 2010. View Article : Google Scholar : PubMed/NCBI
|
6
|
McNamara DM: Emerging role of
pharmacogenomics in heart failure. Curr Opin Cardiol. 23:261–268.
2008. View Article : Google Scholar : PubMed/NCBI
|
7
|
Rasool AH, Rahman AR, Ismail R, Hatim S,
Adbullah AR, Singh R and Haron R: Ethnic differences in response to
non-selective beta-blockade among racial groups in Malaysia. Int J
Clin Pharmacol Ther. 38:260–269. 2000. View
Article : Google Scholar : PubMed/NCBI
|
8
|
Taylor JS and Ellis GR: Racial differences
in responses to drug treatment: implications for pharmacotherapy of
heart failure. Am J Cardiovasc Drugs. 2:389–399. 2002. View Article : Google Scholar
|
9
|
Arking DE and Chakravarti A: Understanding
cardiovascular disease through the lens of genome-wide association
studies. Trends Genet. 25:387–394. 2009. View Article : Google Scholar : PubMed/NCBI
|
10
|
Carson P, Ziesche S, Johnson G and Cohn
JN: Racial differences in response to therapy for heart failure:
analysis of the vasodilator-heart failure trials. Vasodilator-Heart
Failure Trial Study Group. J Card Fail. 5:178–187. 1999. View Article : Google Scholar : PubMed/NCBI
|
11
|
Esler M, Kaye D, Lambert G, Esler D and
Jennings G: Adrenergic nervous system in heart failure. Am J
Cardiol. 80:7L–14L. 1997. View Article : Google Scholar : PubMed/NCBI
|
12
|
Nascimento BC, Pereira SB, Ribeiro GS and
Mesquita ET: Beta1-adrenergic receptor polymorphisms associated
with atrial fibrillation in systolic heart failure. Arq Bras
Cardiol. 98:384–389. 2012.In English and Portuguese. View Article : Google Scholar : PubMed/NCBI
|
13
|
Pereira SB, Velloso MW, Chermont S, et al:
β-adrenergic receptor polymorphisms in susceptibility, response to
treatment and prognosis in heart failure: implication of ethnicity.
Mol Med Rep. 7:259–265. 2013.
|
14
|
Small KM, Wagoner LE, Levin AM, Kardia SL
and Liggett SB: Synergistic polymorphisms of beta1- and
alpha2C-adrenergic receptors and the risk of congestive heart
failure. N Engl J Med. 347:1135–1142. 2002. View Article : Google Scholar : PubMed/NCBI
|
15
|
Tian C, Gregersen PK and Seldin MF:
Accounting for ancestry: population substructure and genome-wide
association studies. Hum Mol Genet. 17:R143–R150. 2008. View Article : Google Scholar : PubMed/NCBI
|
16
|
Wang C, Zhan X, Bragg-Gresham B, et al:
Ancestry estimation and control of population stratification for
sequence-based association studies. Nat Genet. 46:409–415. 2014.
View Article : Google Scholar : PubMed/NCBI
|
17
|
Manta FS, Pereira R, Caiafa A, Silva DA,
Gusmão L and Carvalho EF: Analysis of genetic ancestry in the
admixed Brazilian population from Rio de Janeiro using 46 autosomal
ancestry-informative indel markers. Ann Hum Biol. 40:94–98.
2013.
|
18
|
Pereira R, Phillips C, Pinto N, et al:
Straightforward inference of ancestry and admixture proportions
through ancestry-informative insertion deletion multiplexing. PLoS
One. 7:e296842012. View Article : Google Scholar : PubMed/NCBI
|
19
|
Silva DA, Carvalho E, Costa G, Tavares L,
Amorim A and Gusmão L: Y-chromosome genetic variation in Rio de
Janeiro population. Am J Hum Biol. 18:829–837. 2006. View Article : Google Scholar : PubMed/NCBI
|
20
|
Miller SA, Dykes DD and Polesky HF: A
simple salting out procedure for extracting DNA from human
nucleated cells. Nucleic Acids Res. 16:12151988. View Article : Google Scholar : PubMed/NCBI
|
21
|
Excoffier L, Laval G and Schneider S:
Arlequin (version 3.0): an integrated software package for
population genetics data analysis. Evol Bioinform Online. 1:47–50.
2007.
|
22
|
Salazar-Flores J, Dondiego-Aldape R,
Rubi-Castellanos R, et al: Population structure and paternal
admixture landscape on present-day Mexican-Mestizos revealed by
Y-STR haplotypes. Am J Hum Biol. 22:401–409. 2010. View Article : Google Scholar
|
23
|
Kindermann M, Seeland U, Ruhnke P, Böhm M
and Maack C: Functional effects of β1-adrenoceptor
polymorphisms on the hemodynamic response to dobutamine with and
without β-blocker administration. Clin Res Cardiol. 100:129–137.
2011. View Article : Google Scholar
|
24
|
Nia AM, Caglayan E, Gassanov N, et al:
Beta1-adrenoceptor polymorphism predicts flecainide action in
patients with atrial fibrillation. PLoS One. 5:e114212010.
View Article : Google Scholar : PubMed/NCBI
|
25
|
Nieminen T, Lehtimäki T, Laiho J, et al:
Effects of polymorphisms in beta1-adrenoceptor and alpha-subunit of
G protein on heart rate and blood pressure during exercise test.
The Finnish Cardiovascular Study. J Appl Physiol. 100:507–511.
2006. View Article : Google Scholar
|
26
|
Bengtsson K, Melander O, Orho-Melander M,
Lindblad U, Ranstam J, Råstam L and Groop L: Polymorphism in the
beta(1)-adrenergic receptor gene and hypertension. Circulation.
104:187–190. 2001. View Article : Google Scholar : PubMed/NCBI
|
27
|
Ramu P, Mahesh Kumar KN, Shewade DG,
Swaminathan RP, Dutta TK, Balachander J and Adithan C: Polymorphic
variants of beta1 adrenergic receptor gene (Ser49Gly &
Arg389Gly) in healthy Tamilian volunteers. Indian J Med Res.
132:62–66. 2010.PubMed/NCBI
|
28
|
Nonen S, Okamoto H, Akino M, et al: No
positive association between adrenergic receptor variants of
alpha2cDel322–325, beta1Ser49, beta1Arg389 and the risk for heart
failure in the Japanese population. Br J Clin Pharmacol.
60:414–417. 2005. View Article : Google Scholar : PubMed/NCBI
|
29
|
Zaroff JG, Pawlikowska L, Miss JC, et al:
Adrenoceptor polymorphisms and the risk of cardiac injury and
dysfunction after subarachnoid hemorrhage. Stroke. 37:1680–1685.
2006. View Article : Google Scholar : PubMed/NCBI
|
30
|
Kurnik D, Li C, Sofowora GG, et al:
Beta-1-adrenoceptor genetic variants and ethnicity independently
affect response to beta-blockade. Pharmacogenet Genomics.
18:895–902. 2008. View Article : Google Scholar : PubMed/NCBI
|
31
|
Jorde LB and Wooding SP: Genetic
variation, classification and ‘race’. Nat Genet. 36(11 Suppl):
S28–S33. 2004. View
Article : Google Scholar : PubMed/NCBI
|
32
|
Johnson JA: Racial differences in
lymphocyte beta-receptor sensitivity to propranolol. Life Sci.
53:297–304. 1993. View Article : Google Scholar : PubMed/NCBI
|
33
|
Johnson JA, Burlew BS and Stiles RN:
Racial differences in beta-adrenoceptor-mediated responsiveness. J
Cardiovasc Pharmacol. 25:90–96. 1995. View Article : Google Scholar : PubMed/NCBI
|