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2.
J Hum Hypertens ; 30(2): 120-3, 2016 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-25947276

RESUMO

There is a high prevalence of heart failure (HF) in the general population, but it is more common in black people. We evaluated the association between genomic ancestry and mitochondrial haplogroups (mt-haplogroups) with HF etiology in 503 Brazilian patients. We elicited Mt-haplogroups by analyzing the control region of mitochondrial DNA, and genomic ancestry, by using 48 autosomal insertion-deletion ancestry informative markers. Hypertensive (28.6%, n=144) and ischemic (28.4%, n=143) etiologies of HF were the most prevalent herein. Our results showed that 233 individuals (46.3%) presented African mitochondrial (mt)-haplogroups, and the major contribution in the genomic ancestry analysis was the European ancestry (57.5% (±22.1%)). African mt-haplogroups were positively associated with a diagnosis of hypertensive cardiomyopathy (odds ratio, OR 1.55, confidence interval, CI 95% 1.04-2.44, P=0.04) when compared with European mt-haplogroups. Regarding the genomic ancestry, the African ancestry variant had higher risks (OR 7.84, 95% CI 2.81-21.91, P<0.001), whereas the European ancestry variant had lower risks (OR 0.14, 95% CI 0.04-5.00, P<0.001) for developing the hypertensive etiology. In addition, European ancestry showed an OR of 4.05 (CI 95% 1.53-10.74, P=0.005), whereas African ancestry showed an OR of 0.17 (CI 95% 0.06-0.48, P=0.001) for developing ischemic etiology. In conclusion, this study supports the importance of using ancestry informative markers and mitochondrial DNA to study the genetics of complex diseases in admixed populations to improve the management, treatment and prevention of these illnesses. Therefore, the ancestry informative markers and mt-haplogroups could provide new biomarkers to be associated with HF etiologies and be used as a premise for more specific management.


Assuntos
DNA Mitocondrial/genética , Insuficiência Cardíaca/genética , Mitocôndrias Cardíacas/genética , Brasil/epidemiologia , Feminino , Seguimentos , Frequência do Gene , Haplótipos , Insuficiência Cardíaca/epidemiologia , Insuficiência Cardíaca/metabolismo , Humanos , Masculino , Pessoa de Meia-Idade , Polimorfismo de Nucleotídeo Único , Prevalência , Estudos Prospectivos
3.
Int J Legal Med ; 128(4): 589-93, 2014 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-24846100

RESUMO

Brazilian population derives from Native Amerindians, Europeans, and Africans. Southeastern Brazil is the most populous region of the country. The present study intended to characterize the maternal genetic ancestry of 290 individuals from southeastern (Brazil) population. Thus, we made the sequencing of the three hypervariable regions (HV1, HV2, and HV3) of the mitochondrial DNA (mtDNA). The statistical analyses were made using Arlequin software, and the median-joining haplotype networks were generated using Network software. The analysis of three hypervariable regios showed 230 (79.3 %) unique haplotypes and the most common haplotype was "263G" carried by 12 (4.1 %) individuals. The strikingly high variability generated by intense gene flow is mirrored in a high sequence diversity (0.9966 ± 0.0010), and the probability of two random individuals showing identical mtDNA haplotypes were 0.0068. The analysis of haplogroup distribution revealed that 36.9 % (n = 107) presented Amerindian haplogroups, 35.2 % (n = 102) presented African haplogroups, 27.6 % (n = 80) presented European haplogroups, and one (0.3 %) individual presented East Asian haplogroup, evidencing that the southeastern population is extremely heterogeneous and the coexistence of matrilineal lineages with three different phylogeographic origins. The genetic diversity found in the mtDNA control region in the southeastern Brazilian population reinforces the importance of increased national database in order to be important and informative in forensic cases.


Assuntos
DNA Mitocondrial/genética , Variação Genética , Haplótipos , Brasil , Humanos , Reação em Cadeia da Polimerase , Grupos Raciais/genética , Análise de Sequência de DNA
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