Population Stratification Effect on Cancer Susceptibility in an Admixed Population from Brazilian Amazon

被引：0

作者：

Moura Vieira, Priscilla Cristina ^{[1
,2
]}

Rodriguez Burbano, Rommel Mario ^{[1
,2
]}

Ricardo Oliveira Fernandes, Debora Christina ^{[1
]}

Montenegro, Raquel Carvalho ^{[1
,2
]}

Batista Dos Santos, Sidney Emanuel ^{[1
]}

Sortica, Vinicius Albuquerque ^{[1
]}

Assumpcao, Paulo Pimentel ^{[1
]}

Campos Ribeiro-Dos-Santos, Andrea Kely ^{[1
]}

Carvalho, Antonio Alberto ^{[2
]}

Carneiro dos Santos, Ney Pereira ^{[1
]}

机构：

[1] Fed Univ Para, Oncol Res Ctr, BR-66075110 Belem, Para, Brazil

[2] Fed Univ Para, Human Cytogenet Lab, BR-66075110 Belem, Para, Brazil

来源：

ANTICANCER RESEARCH | 2015年 / 35卷 / 04期

关键词：

XRCC1; MTHFR; EGFR; cancer; population stratification; ancestry; GROWTH-FACTOR RECEPTOR; BREAST-CANCER; GENE POLYMORPHISMS; PROSTATE-CANCER; ASSOCIATION; XRCC1; RISK; MTHFR;

D O I：

暂无

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

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 (R) 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.

引用

页码：2009 / 2014

页数：6

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