N. Pabalan, Neetu Singh, E. Singian, C. Barbosa, B. Bianco, H. Jarjanazi
{"title":"Associations of CYP1A1 gene polymorphisms and risk of breast cancer in Indian women: a meta-analysis","authors":"N. Pabalan, Neetu Singh, E. Singian, C. Barbosa, B. Bianco, H. Jarjanazi","doi":"10.3934/genet.2015.4.250","DOIUrl":null,"url":null,"abstract":"Abstract Reported associations of CYP1A1 polymorphisms with breast cancer have been inconsistent. In this meta-analysis examining breast cancer associations of three CYP1A1 polymorphisms (M1, M2 and M4) among Indian women may yield information that may be of clinical and epidemiological use for this particular demography. We searched MEDLINE using PubMed and Embase for association studies. From seven published case-control studies, we estimated overall associations and applied subgroup analysis to explore differential effects. All three polymorphisms exhibited overall increased risk, significant in M1 (OR 1.61–1.65, p = 0.04) and M4 (OR 2.02–3.92, p = 0.02–0.04). Differential effects were observed only in the M1 polymorphism where M1 effects were significant in South Indians (OR 2.20–4.34, p < 0.0001) but not the North population, who were at reduced risk (OR 0.64–0.77, p = 0.03–0.55). These populations were not materially different in regard to M2 and M4 as did the women stratified by menopausal status. In this meta-analysis, M1 and M4 effects may render Indian women susceptible, but may be limited by heterogeneity of the studies. Differential effects of the M1 polymorphism in breast cancer render South Indians susceptible compared to those in the North.","PeriodicalId":43477,"journal":{"name":"AIMS Genetics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AIMS Genetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3934/genet.2015.4.250","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Abstract Reported associations of CYP1A1 polymorphisms with breast cancer have been inconsistent. In this meta-analysis examining breast cancer associations of three CYP1A1 polymorphisms (M1, M2 and M4) among Indian women may yield information that may be of clinical and epidemiological use for this particular demography. We searched MEDLINE using PubMed and Embase for association studies. From seven published case-control studies, we estimated overall associations and applied subgroup analysis to explore differential effects. All three polymorphisms exhibited overall increased risk, significant in M1 (OR 1.61–1.65, p = 0.04) and M4 (OR 2.02–3.92, p = 0.02–0.04). Differential effects were observed only in the M1 polymorphism where M1 effects were significant in South Indians (OR 2.20–4.34, p < 0.0001) but not the North population, who were at reduced risk (OR 0.64–0.77, p = 0.03–0.55). These populations were not materially different in regard to M2 and M4 as did the women stratified by menopausal status. In this meta-analysis, M1 and M4 effects may render Indian women susceptible, but may be limited by heterogeneity of the studies. Differential effects of the M1 polymorphism in breast cancer render South Indians susceptible compared to those in the North.
CYP1A1多态性与乳腺癌的关联报道一直不一致。在这项荟萃分析中,研究了印度女性中三种CYP1A1多态性(M1、M2和M4)与乳腺癌的关联,可能会为这一特定人口统计学提供临床和流行病学方面的信息。我们使用PubMed和Embase在MEDLINE上搜索关联研究。从七个已发表的病例对照研究中,我们估计了总体关联,并应用亚组分析来探索差异效应。所有三种多态性均表现出总体风险增加,在M1 (OR 1.61-1.65, p = 0.04)和M4 (OR 2.02-3.92, p = 0.02-0.04)中显著增加。仅在M1多态性中观察到差异效应,其中M1效应在南印度人中显着(OR 2.20-4.34, p < 0.0001),而在风险降低的北方人群中没有观察到差异效应(OR 0.64-0.77, p = 0.03-0.55)。这些人群在M2和M4方面没有实质性差异,按绝经状态分层的妇女也是如此。在本荟萃分析中,M1和M4效应可能使印度妇女易感,但可能受到研究异质性的限制。M1多态性对乳腺癌的不同影响使得南印度人比北方人更容易患乳腺癌。