Literature DB >> 10630175

Inherited genetic predisposition in breast cancer. A population-based perspective.

T R Rebbeck1.   

Abstract

Two classes of inherited susceptibility genes may be considered in the etiology of breast and other common cancers. First, genes have been identified that confer a high degree of breast cancer (BC) risk, usually associated with hereditary syndromes, but disease-associated germline variants in these genes are relatively rare in the general population. These include BRCA1, BRCA2, and TP53. The proportion of BC in the general population that can be explained by these genes is relatively small. Second, variant genotypes at other loci may confer a relatively smaller degree of cancer risk, but they are carried by a larger proportion of the general population. As a result, the proportion of BC that could be explained by these genes may be relatively large. To understand the genetic basis for BCs in the general population, both of these classes of genes may need to be considered. This paper presents an overview of genes thought to be involved in BC susceptibility. Genes that confer a high degree of risk are more likely to result in hereditary patterns of cancer that are amenable to identification by genetic epidemiologic methods using pedigree data. More common (e.g., nonhereditary) forms of BC may be optimally analyzed by molecular epidemiologic studies using case-case, case-control, or cohort designs. The use of an appropriate study design is crucial to the identification of genes with relatively small effects on BC risk. To understand the inherited factors that explain BC in the general population, consideration should be given to genes with different allele frequencies and magnitudes of effect, using appropriate analytical approaches. By understanding the complex interactions of these genes with one another and with exposures, improved risk assessment and potential for targeted cancer prevention strategies may be possible.

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Year:  1999        PMID: 10630175     DOI: 10.1002/(sici)1097-0142(19991201)86:11+<2493::aid-cncr6>3.0.co;2-z

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  13 in total

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Review 2.  Common BRCA1 and BRCA2 mutations in breast cancer families: a meta-analysis from systematic review.

Authors:  Furu Wang; Qiaoqiao Fang; Zhen Ge; Ningle Yu; Sanxiao Xu; Xiangyong Fan
Journal:  Mol Biol Rep       Date:  2011-06-04       Impact factor: 2.316

3.  Presymptomatic breast cancer in Egypt: role of BRCA1 and BRCA2 tumor suppressor genes mutations detection.

Authors:  Safinaz S Ibrahim; Elsayed E Hafez; Mervat M Hashishe
Journal:  J Exp Clin Cancer Res       Date:  2010-06-25

Review 4.  Understanding breast cancer risk -- where do we stand in 2005?

Authors:  R G Dumitrescu; I Cotarla
Journal:  J Cell Mol Med       Date:  2005 Jan-Mar       Impact factor: 5.310

5.  BRCA1: a new candidate gene for bovine mastitis and its association analysis between single nucleotide polymorphisms and milk somatic cell score.

Authors:  Zhengrong Yuan; Guiyan Chu; Yang Dan; Jiao Li; Lupei Zhang; Xue Gao; Huijiang Gao; Junya Li; Shangzhong Xu; Zhihua Liu
Journal:  Mol Biol Rep       Date:  2012-02-12       Impact factor: 2.316

6.  A polymorphism in the promoter region of Ku70/XRCC6, associated with breast cancer risk and oestrogen exposure.

Authors:  Petra Willems; Kim De Ruyck; Rudy Van den Broecke; Amin Makar; Gianpaolo Perletti; Hubert Thierens; Anne Vral
Journal:  J Cancer Res Clin Oncol       Date:  2009-02-15       Impact factor: 4.553

7.  A comprehensive model for familial breast cancer incorporating BRCA1, BRCA2 and other genes.

Authors:  A C Antoniou; P D P Pharoah; G McMullan; N E Day; M R Stratton; J Peto; B J Ponder; D F Easton
Journal:  Br J Cancer       Date:  2002-01-07       Impact factor: 7.640

8.  Identification and evaluation of 55 genetic variations in the BRCA1 and the BRCA2 genes of patients from 50 Japanese breast cancer families.

Authors:  Masanori Kawahara; Masato Sakayori; Kazuko Shiraishi; Tadashi Nomizu; Motohiro Takeda; Rikiya Abe; Noriaki Ohuchi; Seiichi Takenoshita; Chikashi Ishioka
Journal:  J Hum Genet       Date:  2004-05-27       Impact factor: 3.172

9.  Single nucleotide polymorphisms and breast cancer: not yet a success story.

Authors:  Rulla M Tamimi
Journal:  Breast Cancer Res       Date:  2006       Impact factor: 6.466

10.  Comparative study and meta-analysis of meta-analysis studies for the correlation of genomic markers with early cancer detection.

Authors:  Zoi Lanara; Efstathia Giannopoulou; Marta Fullen; Evangelos Kostantinopoulos; Jean-Christophe Nebel; Haralabos P Kalofonos; George P Patrinos; Cristiana Pavlidis
Journal:  Hum Genomics       Date:  2013-06-05       Impact factor: 4.639

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