Literature DB >> 17449902

Genetic variation in TP53 and risk of breast cancer in a population-based case control study.

Brian L Sprague1, Amy Trentham-Dietz, Montserrat Garcia-Closas, Polly A Newcomb, Linda Titus-Ernstoff, John M Hampton, Stephen J Chanock, Jonathan L Haines, Kathleen M Egan.   

Abstract

Whereas germ line missense mutations in the tumor suppressor gene TP53 are associated with a marked predisposition to breast cancer, single-nucleotide polymorphisms (SNPs) may play a more modest role in breast cancer susceptibility. We examined genetic variation in TP53 in relation to breast cancer risk among women aged 20-74 years in a population-based case-control study in Wisconsin, Massachusetts and New Hampshire. Analyses were conducted separately for in situ (176 cases/581 controls) and invasive (1,490 cases/1,291 controls) breast cancer. Oral mucosal DNA samples were genotyped for the codon 72 polymorphism in exon 4 (rs1,042,522), seven intronic SNPs and three SNPs residing in the 3' untranslated region (UTR). Logistic regression was used to obtain age- and state-adjusted odds ratios for individual SNPs. Haplotypes were reconstructed using PHASE software, and the overall association with breast cancer risk was assessed using a global score test. None of the 11 individual SNPs or eight common haplotypes were significantly related to breast carcinoma in situ risk. Among all women, two linked SNPs (D' = 0.99, r(2) = 0.95) on intron 7 (rs12,951,053, rs12,947,788) were associated with modest increases in invasive breast cancer risk; however, associations were only significant for heterozygous carriers. The data suggested that additional variants in the 3' UTR (rs9,894,946), and in two correlated SNPs (D' = 0.94, r(2) = 0.81) in introns 6 (rs1,625,895) and 4 (rs2,909,430), were associated with reduced invasive breast cancer risk among women aged 50 and younger only (P(interaction) < 0.03). These results indicate that common variation in the TP53 gene could modify the risk of invasive breast cancer.

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Year:  2007        PMID: 17449902     DOI: 10.1093/carcin/bgm097

Source DB:  PubMed          Journal:  Carcinogenesis        ISSN: 0143-3334            Impact factor:   4.944


  27 in total

1.  Individual and combined effects of MDM2 SNP309 and TP53 Arg72Pro on breast cancer risk: an updated meta-analysis.

Authors:  Hongtao Cheng; Biao Ma; Ran Jiang; Wei Wang; Hui Guo; Na Shen; Dapeng Li; Qunzi Zhao; Rui Wang; Pengfei Yi; Yue Zhao; Zeming Liu; Tao Huang
Journal:  Mol Biol Rep       Date:  2012-06-24       Impact factor: 2.316

2.  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

3.  Breast cancer susceptibility associated with rs1219648 (fibroblast growth factor receptor 2) and postmenopausal hormone therapy use in a population-based United States study.

Authors:  Shaneda Warren Andersen; Amy Trentham-Dietz; Jonine D Figueroa; Linda J Titus; Qiuyin Cai; Jirong Long; John M Hampton; Kathleen M Egan; Polly A Newcomb
Journal:  Menopause       Date:  2013-03       Impact factor: 2.953

4.  Germline mutations of TP53 gene in breast cancer.

Authors:  Surekha Damineni; Vadlamudi Raghavendra Rao; Satish Kumar; Rajasekar Reddy Ravuri; Sailaja Kagitha; Nageswara Rao Dunna; Raghunadharao Digumarthi; Vishnupriya Satti
Journal:  Tumour Biol       Date:  2014-06-15

5.  Reproductive windows, genetic loci, and breast cancer risk.

Authors:  Shaneda Warren Andersen; Amy Trentham-Dietz; Ronald E Gangnon; John M Hampton; Jonine D Figueroa; Halcyon G Skinner; Corinne D Engelman; Barbara E Klein; Linda J Titus; Kathleen M Egan; Polly A Newcomb
Journal:  Ann Epidemiol       Date:  2014-03-02       Impact factor: 3.797

6.  TP53 rs1625895 is Related to Breast Cancer Incidence and Early Death in Iranian Population.

Authors:  Leila Assad Samani; Seyed-Morteza Javadirad; Soha Parsafar; Hossein Tabatabaeian; Kamran Ghaedi; Mansoureh Azadeh
Journal:  Indian J Clin Biochem       Date:  2018-06-21

Review 7.  Applications of computational algorithm tools to identify functional SNPs.

Authors:  C George Priya Doss; C Sudandiradoss; R Rajasekaran; Parikshit Choudhury; Priyanka Sinha; Pragnya Hota; Udit Prakash Batra; Sethumadhavan Rao
Journal:  Funct Integr Genomics       Date:  2008-06-19       Impact factor: 3.410

8.  Genetic variants and haplotypes of the caspase-8 and caspase-10 genes contribute to susceptibility to cutaneous melanoma.

Authors:  Chunying Li; Hui Zhao; Zhibin Hu; Zhensheng Liu; Li-E Wang; Jeffrey E Gershenwald; Victor G Prieto; Jeffrey E Lee; Madeleine Duvic; Elizabeth A Grimm; Qingyi Wei
Journal:  Hum Mutat       Date:  2008-12       Impact factor: 4.878

9.  Associations between single nucleotide polymorphisms in double-stranded DNA repair pathway genes and familial breast cancer.

Authors:  Mary E Sehl; Lucy R Langer; Jeanette C Papp; Lorna Kwan; Joyce L Seldon; Geovanni Arellano; Jean Reiss; Elaine F Reed; Sugandha Dandekar; Yael Korin; Janet S Sinsheimer; Zuo-Feng Zhang; Patricia A Ganz
Journal:  Clin Cancer Res       Date:  2009-03-10       Impact factor: 12.531

10.  MDM2 SNP309 and TP53 Arg72Pro interact to alter therapy-related acute myeloid leukemia susceptibility.

Authors:  Nathan A Ellis; Dezheng Huo; Ozlem Yildiz; Lisa J Worrillow; Mekhala Banerjee; Michelle M Le Beau; Richard A Larson; James M Allan; Kenan Onel
Journal:  Blood       Date:  2008-04-21       Impact factor: 22.113

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