Literature DB >> 24521025

Genome-wide association studies and the clinic: a focus on breast cancer.

Amélie Véron1, Sophie Blein, David G Cox.   

Abstract

Breast cancer is the most frequently diagnosed cancer among women worldwide, and has long been considered to be a genetic disease. A wide range of genetic variants, both rare mutations and more common variants, have been shown to influence breast cancer risk. In particular, recent studies have identified a number of common genetic variants, or single nucleotide polymorphisms, that are associated with breast cancer risk. In this review, we will briefly present the genetic epidemiology of breast cancer, genome-wide association study technology and how this technology may influence breast cancer screening in the clinic.

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Year:  2014        PMID: 24521025     DOI: 10.2217/bmm.13.121

Source DB:  PubMed          Journal:  Biomark Med        ISSN: 1752-0363            Impact factor:   2.851


  7 in total

Review 1.  TOX gene: a novel target for human cancer gene therapy.

Authors:  Xin Yu; Zheng Li
Journal:  Am J Cancer Res       Date:  2015-11-15       Impact factor: 6.166

2.  Genetic evidence for common pathways in human age-related diseases.

Authors:  Simon C Johnson; Xiao Dong; Jan Vijg; Yousin Suh
Journal:  Aging Cell       Date:  2015-06-15       Impact factor: 9.304

Review 3.  An epidemiological perspective of personalized medicine: the Estonian experience.

Authors:  L Milani; L Leitsalu; A Metspalu
Journal:  J Intern Med       Date:  2015-02       Impact factor: 8.989

4.  The CXCL12 G801A polymorphism is associated with cancer risk: a meta-analysis.

Authors:  Ke Zhu; Benchun Jiang; Rong Hu; Ying Yang; Miao Miao; Yingchun Li; Zhuogang Liu
Journal:  PLoS One       Date:  2014-09-30       Impact factor: 3.240

5.  Genome-wide association scans for idiopathic osteonecrosis of the femoral head in a Korean population.

Authors:  Seung-Hoon Baek; Kang-Il Kim; Kyung-Sik Yoon; Tae-Ho Kim; Shin-Yoon Kim
Journal:  Mol Med Rep       Date:  2016-12-14       Impact factor: 2.952

6.  Mining the glioma susceptibility genes in children from gene expression profiles and a methylation database.

Authors:  Yongqiang Xi; Wanzhong Tang; Song Yang; Maolei Li; Yuchao He; Xianhua Fu
Journal:  Oncol Lett       Date:  2017-07-15       Impact factor: 2.967

7.  Significant association between ERCC2 and MTHR polymorphisms and breast cancer susceptibility in Moroccan population: genotype and haplotype analysis in a case-control study.

Authors:  Hanaa Hardi; Rahma Melki; Zouhour Boughaleb; Tijani El Harroudi; Souria Aissaoui; Noureddine Boukhatem
Journal:  BMC Cancer       Date:  2018-03-15       Impact factor: 4.430

  7 in total

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