Literature DB >> 18163131

The emerging landscape of breast cancer susceptibility.

Michael R Stratton1, Nazneen Rahman.   

Abstract

The genetic basis of inherited predisposition to breast cancer has been assiduously investigated for the past two decades and has been the subject of several recent discoveries. Three reasonably well-defined classes of breast cancer susceptibility alleles with different levels of risk and prevalence in the population have become apparent: rare high-penetrance alleles, rare moderate-penetrance alleles and common low-penetrance alleles. The contribution of each component to breast cancer predisposition is still to be fully explored, as are the phenotypic characteristics of the cancers associated with them, the ways in which they interact, much of their biology and their clinical utility. These recent advances herald a new chapter in the exploration of susceptibility to breast cancer and are likely to provide insights relevant to other common, heterogeneous diseases.

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Year:  2008        PMID: 18163131     DOI: 10.1038/ng.2007.53

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  197 in total

Review 1.  Genetic variants associated with breast-cancer risk: comprehensive research synopsis, meta-analysis, and epidemiological evidence.

Authors:  Ben Zhang; Alicia Beeghly-Fadiel; Jirong Long; Wei Zheng
Journal:  Lancet Oncol       Date:  2011-04-20       Impact factor: 41.316

2.  Adaptive clustering and adaptive weighting methods to detect disease associated rare variants.

Authors:  Qiuying Sha; Shuaicheng Wang; Shuanglin Zhang
Journal:  Eur J Hum Genet       Date:  2012-07-11       Impact factor: 4.246

3.  Population-based estimate of the contribution of TP53 mutations to subgroups of early-onset breast cancer: Australian Breast Cancer Family Study.

Authors:  Judy Mouchawar; Christopher Korch; Tim Byers; Todd M Pitts; Efang Li; Margaret R E McCredie; Graham G Giles; John L Hopper; Melissa C Southey
Journal:  Cancer Res       Date:  2010-05-25       Impact factor: 12.701

4.  Detecting association of rare and common variants by adaptive combination of P-values.

Authors:  Yajing Zhou; Yong Wang
Journal:  Genet Res (Camb)       Date:  2015-10-06       Impact factor: 1.588

5.  Association detection between ordinal trait and rare variants based on adaptive combination of P values.

Authors:  Meida Wang; Weijun Ma; Ying Zhou
Journal:  J Hum Genet       Date:  2017-11-07       Impact factor: 3.172

6.  Coexposure to phytoestrogens and bisphenol a mimics estrogenic effects in an additive manner.

Authors:  Anne Katchy; Caroline Pinto; Philip Jonsson; Trang Nguyen-Vu; Marchela Pandelova; Anne Riu; Karl-Werner Schramm; Daniel Samarov; Jan-Åke Gustafsson; Maria Bondesson; Cecilia Williams
Journal:  Toxicol Sci       Date:  2013-11-27       Impact factor: 4.849

7.  Next-generation sequencing of BRCA1 and BRCA2 in breast cancer patients and control subjects.

Authors:  Lubomir Balabanski; Georgi Antov; Ivanka Dimova; Samuil Ivanov; Maria Nacheva; Ivan Gavrilov; Desislava Nesheva; Blaga Rukova; Savina Hadjidekova; Maxim Malinov; Draga Toncheva
Journal:  Mol Clin Oncol       Date:  2014-02-04

8.  Identification of sequence polymorphisms in the mitochondrial displacement loop as risk factors for sporadic and familial breast cancer.

Authors:  Meng Cheng; Zhanjun Guo; Haiping Li; Zheng Li; Chunxiao Li; Cuizhi Geng
Journal:  Tumour Biol       Date:  2014-01-16

9.  BRCA1: a missing link in the Fanconi anemia/BRCA pathway.

Authors:  Alan D D'Andrea
Journal:  Cancer Discov       Date:  2013-04       Impact factor: 39.397

10.  Genome-wide linkage scan reveals three putative breast-cancer-susceptibility loci.

Authors:  Juan Manuel Rosa-Rosa; Guillermo Pita; Miguel Urioste; Gemma Llort; Joan Brunet; Conxi Lázaro; Ignacio Blanco; Teresa Ramón y Cajal; Orland Díez; Miguel de la Hoya; Trinidad Caldés; Maria-Isabel Tejada; Anna González-Neira; Javier Benítez
Journal:  Am J Hum Genet       Date:  2009-01-15       Impact factor: 11.025

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