Breast cancer genome-wide association studies: There is strength in numbers

95Citations
Citations of this article
135Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Breast cancer (BC) is a heterogeneous disease that exhibits familial aggregation. Family linkage studies have identified high-penetrance genes, BRCA1, BRCA2, PTEN and TP53, that are responsible for inherited BC syndromes. Moreover, a combination of family-based and population-based approaches indicated that genes involved in DNA repair, such as CHEK2, ATM, BRIP and PALB2, are associated with moderate risk. Therefore, all of these known genes account for only 25% of the familial aggregation cases. Recently, genome wide association studies (GWAS) in BC revealed single nucleotide polymorphisms (SNPs) in five novel genes associated to susceptibility: TNRC9, FGFR2, MAP3K1, H19 and lymphocyte-specific protein 1 (LSP1). The most strongly associated SNP was in intron 2 of the FGFR2 gene that is amplified and overexpressed in 5-10% of BC. rs3803662 of TNRC9 gene has been shown to be the SNP with the strongest association with BC, in particular, this polymorphism seems to be correlated with bone metastases and estrogen receptor positivity. Relevant data indicate that SNP rs889312 in MAP3K1 is correlated with BC susceptibility only in BRCA2 mutation carriers, but is not associated with an increased risk in BRCA1 carriers. Finally, different SNPs in LSP1 and H19 and in minor genes probably were associated with BC risk. New susceptibility allelic variants associated with BC risk were recently discovered including potential causative genes involved in regulation of cell cycle, apoptosis, metabolism and mitochondrial functions. In conclusion, the identification of disease susceptibility loci may lead to a better understanding of the biological mechanism for BC to improve prevention, early detection and treatment. © 2012 Macmillan Publishers Limited All rights reserved.

Author supplied keywords

References Powered by Scopus

Global cancer statistics, 2002

17744Citations
N/AReaders
Get full text

Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications

9262Citations
N/AReaders
Get full text

Repeated observation of breast tumor subtypes in independent gene expression data sets

4405Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Regulation of tumor cell migration and invasion by the H19/let-7 axis is antagonized by metformin-induced DNA methylation

193Citations
N/AReaders
Get full text

Comprehensive comparison of molecular portraits between cell lines and tumors in breast cancer

164Citations
N/AReaders
Get full text

Mitochondrial mutations and mitoepigenetics: Focus on regulation of oxidative stress-induced responses in breast cancers

151Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Fanale, D., Amodeo, V., Corsini, L. R., Rizzo, S., Bazan, V., & Russo, A. (2012, April 26). Breast cancer genome-wide association studies: There is strength in numbers. Oncogene. https://doi.org/10.1038/onc.2011.408

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 63

63%

Researcher 27

27%

Professor / Associate Prof. 10

10%

Readers' Discipline

Tooltip

Agricultural and Biological Sciences 43

40%

Biochemistry, Genetics and Molecular Bi... 31

29%

Medicine and Dentistry 29

27%

Nursing and Health Professions 4

4%

Save time finding and organizing research with Mendeley

Sign up for free