scholarly journals Fine-mapping of breast cancer susceptibility loci characterizes genetic risk in African Americans

2011 ◽  
Vol 20 (22) ◽  
pp. 4491-4503 ◽  
Author(s):  
Fang Chen ◽  
Gary K. Chen ◽  
Robert C. Millikan ◽  
Esther M. John ◽  
Christine B. Ambrosone ◽  
...  
Keyword(s):  
Breast Cancer ◽  
African Americans ◽  
Fine Mapping ◽  
Genetic Risk ◽  
Cancer Susceptibility ◽  
Breast Cancer Susceptibility ◽  
Susceptibility Loci

scholarly journals Fine-mapping identifies two additional breast cancer susceptibility loci at 9q31.2

2015 ◽  
Vol 24 (10) ◽  
pp. 2966-2984 ◽  
Author(s):  
N. Orr ◽  
F. Dudbridge ◽  
N. Dryden ◽  
S. Maguire ◽  
D. Novo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Fine Mapping ◽  
Cancer Susceptibility ◽  
Breast Cancer Susceptibility ◽  
Susceptibility Loci

scholarly journals Replication of Breast Cancer Susceptibility Loci in Whites and African Americans Using a Bayesian Approach

2013 ◽  
Vol 179 (3) ◽  
pp. 382-394 ◽  
Author(s):  
Katie M. O'Brien ◽  
Stephen R. Cole ◽  
Charles Poole ◽  
Jeannette T. Bensen ◽  
Amy H. Herring ◽  
...  
Keyword(s):  
Breast Cancer ◽  
African Americans ◽  
Bayesian Approach ◽  
Cancer Susceptibility ◽  
Breast Cancer Susceptibility ◽  
Susceptibility Loci

scholarly journals Volumetric Mammographic Density: Heritability and Association With Breast Cancer Susceptibility Loci

2014 ◽  
Vol 106 (12) ◽  
pp. dju334-dju334 ◽  
Author(s):  
J. S. Brand ◽  
K. Humphreys ◽  
D. J. Thompson ◽  
J. Li ◽  
M. Eriksson ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Mammographic Density ◽  
Cancer Susceptibility ◽  
Breast Cancer Susceptibility ◽  
Susceptibility Loci

scholarly journals A Pilot Genome-wide Association Study of Breast Cancer Susceptibility Loci in Indonesia

2015 ◽  
Vol 16 (6) ◽  
pp. 2231-2235 ◽  
Author(s):  
Samuel J Haryono ◽  
I Gusti Bagus Datasena ◽  
Wahyu Budi Santosa ◽  
Raymond Mulyarahardja ◽  
Kartika Sari
Keyword(s):  
Breast Cancer ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Cancer Susceptibility ◽  
Breast Cancer Susceptibility ◽  
Genome Wide Association ◽  
Susceptibility Loci ◽  
Genome Wide

scholarly journals Critical Analysis of Genome-Wide Association Studies: Triple Negative Breast Cancer Quae Exempli Causa

2020 ◽  
Vol 21 (16) ◽  
pp. 5835
Author(s):  
Maria-Ancuta Jurj ◽  
Mihail Buse ◽  
Alina-Andreea Zimta ◽  
Angelo Paradiso ◽  
Schuyler S. Korban ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Genetic Risk ◽  
Triple Negative ◽  
Cancer Susceptibility ◽  
Association Studies ◽  
Breast Cancer Susceptibility ◽  
Risk Scores ◽  
Genome Wide Association Studies ◽  
Genome Wide

Genome-wide association studies (GWAS) are useful in assessing and analyzing either differences or variations in DNA sequences across the human genome to detect genetic risk factors of diseases prevalent within a target population under study. The ultimate goal of GWAS is to predict either disease risk or disease progression by identifying genetic risk factors. These risk factors will define the biological basis of disease susceptibility for the purposes of developing innovative, preventative, and therapeutic strategies. As single nucleotide polymorphisms (SNPs) are often used in GWAS, their relevance for triple negative breast cancer (TNBC) will be assessed in this review. Furthermore, as there are different levels and patterns of linkage disequilibrium (LD) present within different human subpopulations, a plausible strategy to evaluate known SNPs associated with incidence of breast cancer in ethnically different patient cohorts will be presented and discussed. Additionally, a description of GWAS for TNBC will be presented, involving various identified SNPs correlated with miRNA sites to determine their efficacies on either prognosis or progression of TNBC in patients. Although GWAS have identified multiple common breast cancer susceptibility variants that individually would result in minor risks, it is their combined effects that would likely result in major risks. Thus, one approach to quantify synergistic effects of such common variants is to utilize polygenic risk scores. Therefore, studies utilizing predictive risk scores (PRSs) based on known breast cancer susceptibility SNPs will be evaluated. Such PRSs are potentially useful in improving stratification for screening, particularly when combining family history, other risk factors, and risk prediction models. In conclusion, although interpretation of the results from GWAS remains a challenge, the use of SNPs associated with TNBC may elucidate and better contextualize these studies.

Abstract 948: Investigation of breast cancer susceptibility loci in the PAGE study

2011 ◽  
Author(s):  
Cara L. Carty ◽  
Yi Lin ◽  
Jonathan Kocarnik ◽  
Jeff Haessler ◽  
Megan D. Fesinmeyer ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Susceptibility ◽  
Breast Cancer Susceptibility ◽  
Susceptibility Loci

Abstract 1647: Evaluation of breast cancer susceptibility loci in Chinese women from Singapore

2012 ◽  
Author(s):  
Maurice Chan ◽  
Shen Mo Ji ◽  
Chiew Suan Liaw ◽  
Yoon Sim Yap ◽  
Hai Yang Law ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Susceptibility ◽  
Chinese Women ◽  
Breast Cancer Susceptibility ◽  
Susceptibility Loci
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