Literature DB >> 10882856

Low penetrance genes associated with increased risk for breast cancer.

B L Weber1, K L Nathanson.   

Abstract

Much effort in recent years has been focused on understanding the factors that contribute to breast cancer risk. Two major susceptibility alleles, BRCA1 and BRCA2, have been identified, and the prevalence and penetrance of mutations in these genes have been studied extensively. However, this work highlights the fact that only a small proportion of breast cancer is due to mutations in the genes. Evidence for additional high penetrance genes exists, but it is becoming clear that an understanding of multiple lower penetrance alleles will be necessary to fully define breast cancer risk. Work in this area has focused on the analysis of polymorphisms of potential functional significance in several classes of genes, including those involved in carcinogen metabolism, oestrogen metabolite biosynthesis, steroid hormone receptor activation and DNA damage response. These studies are reviewed and a strategy to use modification of breast cancer penetrance in families with known mutations in BRCA1 as a means of identifying additional low penetrance, or modifier, genes is discussed.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 10882856     DOI: 10.1016/s0959-8049(00)00082-4

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  24 in total

Review 1.  Genes other than BRCA1 and BRCA2 involved in breast cancer susceptibility.

Authors:  M M de Jong; I M Nolte; G J te Meerman; W T A van der Graaf; J C Oosterwijk; J H Kleibeuker; M Schaapveld; E G E de Vries
Journal:  J Med Genet       Date:  2002-04       Impact factor: 6.318

2.  Genetic variation in the promoter of DNMT3B is associated with the risk of colorectal cancer.

Authors:  Qian Bao; Bangshun He; Yuqin Pan; Zhipeng Tang; Ying Zhang; Lili Qu; Yongfei Xu; Chan Zhu; Fuliang Tian; Shukui Wang
Journal:  Int J Colorectal Dis       Date:  2011-04-26       Impact factor: 2.571

3.  Associations of polymorphisms of folate cycle enzymes and risk of breast cancer in a Brazilian population are age dependent.

Authors:  Rita de Cássia Carvalho Barbosa; Débora Costa Menezes; Thiago Fernando Vasconcelos Freire; Diogo Campos Sales; Victor Hugo Medeiros Alencar; Silvia Helena Barem Rabenhorst
Journal:  Mol Biol Rep       Date:  2011-12-02       Impact factor: 2.316

4.  Epistatic interaction of Arg72Pro TP53 and -710 C/T VEGFR1 polymorphisms in breast cancer: predisposition and survival.

Authors:  Patricia Rodrigues; Jessica Furriol; Eduardo Tormo; Sandra Ballester; Ana Lluch; Pilar Eroles
Journal:  Mol Cell Biochem       Date:  2013-04-06       Impact factor: 3.396

5.  IL-8-251A>T polymorphism is associated with breast cancer risk: a meta-analysis.

Authors:  Qiang Huang; Cheng Wang; Lu-Jun Qiu; Feng Shao; Ji-Hai Yu
Journal:  J Cancer Res Clin Oncol       Date:  2011-04-06       Impact factor: 4.553

6.  Genetic dissection of the Mom5 modifier locus and evaluation of Mom5 candidate genes.

Authors:  Karla L Otterpohl; Karen A Gould
Journal:  Mamm Genome       Date:  2015-05-15       Impact factor: 2.957

7.  Genetic variants of EGFR (142285G>A) and ESR1 (2014G>A) gene polymorphisms and risk of breast cancer.

Authors:  Ranbir Chander Sobti; Marjan Askari; Mohsen Nikbakht; Neha Singh; Suresh C Sharma; Abayneh Munshea Abitew
Journal:  Mol Cell Biochem       Date:  2012-07-19       Impact factor: 3.396

8.  Aberrant promoter hypermethylation of p21 (WAF1/CIP1) gene and its impact on expression and role of polymorphism in the risk of breast cancer.

Authors:  Marjan Askari; Ranbir Chander Sobti; Mohsen Nikbakht; Suresh C Sharma
Journal:  Mol Cell Biochem       Date:  2013-09-05       Impact factor: 3.396

9.  Mutagen sensitivity, tobacco smoking and breast cancer risk: a case-control study.

Authors:  Ourania Kosti; Celia Byrne; Katherine L Meeker; Kenshata M Watkins; Christopher A Loffredo; Peter G Shields; Marc D Schwartz; Shawna C Willey; Costanza Cocilovo; Yun-Ling Zheng
Journal:  Carcinogenesis       Date:  2010-01-28       Impact factor: 4.944

10.  Family history, and impact on clinical presentation and prognosis, in a population-based breast cancer cohort from the Stockholm County.

Authors:  Sara Margolin; Hemming Johansson; Lars Erik Rutqvist; Annika Lindblom; Tommy Fornander
Journal:  Fam Cancer       Date:  2006-07-01       Impact factor: 2.375

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.