Population stratification effect on cancer susceptibility in an admixed population from Brazilian Amazon.

Autor:	Vieira PC; Oncology Research Center, Federal University of Pará, Belém, Pará, Brazil Human Cytogenetics Laboratory, Federal University of Pará, Belém, Pará, Brazil., Burbano RM; Oncology Research Center, Federal University of Pará, Belém, Pará, Brazil Human Cytogenetics Laboratory, Federal University of Pará, Belém, Pará, Brazil., Fernandes DC; Oncology Research Center, Federal University of Pará, Belém, Pará, Brazil., Montenegro RC; Oncology Research Center, Federal University of Pará, Belém, Pará, Brazil Human Cytogenetics Laboratory, Federal University of Pará, Belém, Pará, Brazil., Dos Santos SE; Oncology Research Center, Federal University of Pará, Belém, Pará, Brazil., Sortica VA; Oncology Research Center, Federal University of Pará, Belém, Pará, Brazil., Assumpção PP; Oncology Research Center, Federal University of Pará, Belém, Pará, Brazil., Ribeiro-Dos-Santos ÂK; Oncology Research Center, Federal University of Pará, Belém, Pará, Brazil., Carvalho AA; Human Cytogenetics Laboratory, Federal University of Pará, Belém, Pará, Brazil., Dos Santos NP; Oncology Research Center, Federal University of Pará, Belém, Pará, Brazil npcsantos@yahoo.com.br.
Jazyk:	angličtina
Zdroj:	Anticancer research [Anticancer Res] 2015 Apr; Vol. 35 (4), pp. 2009-14.
Abstrakt:	Background/aim: Many efforts have been made to identify candidate genes involved in cancer susceptibility. The present study aimed to investigate the association between Arg194Trp (XRCC1), Ala222Val (MTHFR) and Arg521Lys (EGFR) polymorphisms (SNPs) and their susceptibility to gastric and breast carcinoma cancer in patients from Brazilian Amazon, controlling population structure interference. Materials and Methods: The SNPs were genotyped by TaqMan® SNP Genotyping Assays. Ancestry was estimated by analysis of a panel with 48 ancestry informative markers. Results: Logistic regression analysis showed an inverse association with a 10% increase in African and European ancestry and cancer risk (odds ratio (OR)=1.919 and 0.676, respectively). In a preliminary Chi-square analysis a positive association between Arg521Lys (EGFR) polymorphism and carcinoma susceptibility was found (p=0.037); however, when two different methodologies to control population structure bias were utilized, this association was lost (p=0.064 and p=0.256). Conclusion: Genetic ancestry influence gastric and breast cancer risk and highlight the importance of population structure inference in association studies in highly admixed populations, such as those from Brazilian Amazon. (Copyright© 2015 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved.)
Databáze:	MEDLINE
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