scholarly journals Gene-environment interactions involving functional variants: Results from the Breast Cancer Association Consortium

2017 ◽  
Vol 141 (9) ◽  
pp. 1830-1840 ◽  
Author(s):  
Myrto Barrdahl ◽  
Anja Rudolph ◽  
John L. Hopper ◽  
Melissa C. Southey ◽  
Annegien Broeks ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Functional Variants ◽  
Breast Cancer Association Consortium ◽  
Gene Environment

scholarly journals Assessment of interactions between 205 breast cancer susceptibility loci and 13 established risk factors in relation to breast cancer risk, in the Breast Cancer Association Consortium

2019 ◽  
Vol 49 (1) ◽  
pp. 216-232 ◽  
Author(s):  
Pooja Middha Kapoor ◽  
Sara Lindström ◽  
Sabine Behrens ◽  
Xiaoliang Wang ◽  
Kyriaki Michailidou ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cancer Susceptibility ◽  
Breast Cancer Susceptibility ◽  
Effect Modification ◽  
Age At First Birth ◽  
Breast Cancer Association Consortium ◽  
Gene Environment

Abstract Background Previous gene-environment interaction studies of breast cancer risk have provided sparse evidence of interactions. Using the largest available dataset to date, we performed a comprehensive assessment of potential effect modification of 205 common susceptibility variants by 13 established breast cancer risk factors, including replication of previously reported interactions. Methods Analyses were performed using 28 176 cases and 32 209 controls genotyped with iCOGS array and 44 109 cases and 48 145 controls genotyped using OncoArray from the Breast Cancer Association Consortium (BCAC). Gene-environment interactions were assessed using unconditional logistic regression and likelihood ratio tests for breast cancer risk overall and by estrogen-receptor (ER) status. Bayesian false discovery probability was used to assess the noteworthiness of the meta-analysed array-specific interactions. Results Noteworthy evidence of interaction at ≤1% prior probability was observed for three single nucleotide polymorphism (SNP)-risk factor pairs. SNP rs4442975 was associated with a greater reduction of risk of ER-positive breast cancer [odds ratio (OR)int = 0.85 (0.78-0.93), Pint = 2.8 x 10–4] and overall breast cancer [ORint = 0.85 (0.78-0.92), Pint = 7.4 x 10–5) in current users of estrogen-progesterone therapy compared with non-users. This finding was supported by replication using OncoArray data of the previously reported interaction between rs13387042 (r2 = 0.93 with rs4442975) and current estrogen-progesterone therapy for overall disease (Pint = 0.004). The two other interactions suggested stronger associations between SNP rs6596100 and ER-negative breast cancer with increasing parity and younger age at first birth. Conclusions Overall, our study does not suggest strong effect modification of common breast cancer susceptibility variants by established risk factors.

Gene Environment Interactions in Women with Breast Cancer and Secondary Lung Cancer

2004 ◽  
Author(s):  
Meredith A. Tennis ◽  
Peter G. Shields
Keyword(s):  
Breast Cancer ◽  
Lung Cancer ◽  
Gene Environment

Gene-Gene and Gene-Environment Interactions in the Etiology of Breast Cancer

2007 ◽  
Author(s):  
Dana R. Marshall ◽  
Olufemi J. Adegoke ◽  
Wei Zheng
Keyword(s):  
Breast Cancer ◽  
Gene Environment

scholarly journals Joint associations of a polygenic risk score and environmental risk factors for breast cancer in the Breast Cancer Association Consortium

2018 ◽  
Vol 47 (2) ◽  
pp. 526-536 ◽  
Author(s):  
Anja Rudolph ◽  
Minsun Song ◽  
Mark N Brook ◽  
Roger L Milne ◽  
Nasim Mavaddat ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Risk Score ◽  
Environmental Risk ◽  
Environmental Risk Factors ◽  
Polygenic Risk Score ◽  
Polygenic Risk ◽  
Breast Cancer Association Consortium ◽  
Joint Associations

scholarly journals Gene-Environment Interactions Relevant to Estrogen and Risk of Breast Cancer: Can Gene-Environment Interactions Be Detected Only among Candidate SNPs from Genome-Wide Association Studies?

Cancers ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 2370
Author(s):  
JooYong Park ◽  
Ji-Yeob Choi ◽  
Jaesung Choi ◽  
Seokang Chung ◽  
Nan Song ◽  
...  
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Environmental Factors ◽  
Minor Allele ◽  
Estrogen Metabolism ◽  
Age At Menarche ◽  
Genome Wide Association Studies ◽  
Estrogen Exposure ◽  
Gene Environment ◽  
Independent Population

In this study we aim to examine gene–environment interactions (GxEs) between genes involved with estrogen metabolism and environmental factors related to estrogen exposure. GxE analyses were conducted with 1970 Korean breast cancer cases and 2052 controls in the case-control study, the Seoul Breast Cancer Study (SEBCS). A total of 11,555 SNPs from the 137 candidate genes were included in the GxE analyses with eight established environmental factors. A replication test was conducted by using an independent population from the Breast Cancer Association Consortium (BCAC), with 62,485 Europeans and 9047 Asians. The GxE tests were performed by using two-step methods in GxEScan software. Two interactions were found in the SEBCS. The first interaction was shown between rs13035764 of NCOA1 and age at menarche in the GE|2df model (p-2df = 1.2 × 10−3). The age at menarche before 14 years old was associated with the high risk of breast cancer, and the risk was higher when subjects had homozygous minor allele G. The second GxE was shown between rs851998 near ESR1 and height in the GE|2df model (p-2df = 1.1 × 10−4). Height taller than 160 cm was associated with a high risk of breast cancer, and the risk increased when the minor allele was added. The findings were not replicated in the BCAC. These results would suggest specificity in Koreans for breast cancer risk.

scholarly journals Haplotype analysis on correlation between transcription factor 7-like 2 gene polymorphism and breast cancer risk

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yang Wang ◽  
Xiaojuan Men ◽  
Yongxue Gu ◽  
Huidong Wang ◽  
Zhicai Xu
Keyword(s):  
Breast Cancer ◽  
Transcription Factor ◽  
Logistic Regression ◽  
Abdominal Obesity ◽  
Haplotype Analysis ◽  
Environment Interaction ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Locus Model ◽  
Gene Environment

Abstract Background Up to now, limited researches focused on the association between transcription factor 7-like 2 gene (TF7L2) gene single nucleotide polymorphisms (SNPs) and breast cancer (BC) risk. The aim of this study was to evaluate the associations between TF7L2 and BC risk in Chinese Han population. Methods Logistic regression model was used to test the correlation between polymorphisms and BC risk. Strength of association was evaluated by odds ratio (OR) and 95% confidence interval (CI). Generalized multifactor dimensionality reduction (GMDR) was applied to analyze the SNP-SNP and gene-environment interaction. Results Logistic regression analysis indicated that the BC risk was obviously higher in carriers of rs1225404 polymorphism C allele than that in TT genotype carriers (TC or CC versus TT), adjusted OR (95%CI) =1.40 (1.09–1.72). Additionally, we also discovered that people with rs7903146- T allele had an obviously higher risk of BC than people with CC allele (CT or TT versus CC), adjusted OR (95%CI) =1.44 (1.09–1.82). GMDR model was used to research the effect of interaction among 4 SNPs and environmental factors on BC risk. We discovered an important two-locus model (p = 0.0100) including rs1225404 and abdominal obesity, suggesting a potential gene–environment correlation between rs1225404 and abdominal obesity. In general, the cross-validation consistency of two-locus model was 10 of 10, and the testing accuracy was 0.632. Compared with subjects with normal waist circumference (WC) value and rs1225404 TT genotype, abdominal obese subjects with rs1225404 TC or CC genotype had the highest BC risk. After covariate adjustment, OR (95%CI) was 2.23 (1.62–2.89). Haplotype analysis indicated that haplotype containing rs1225404-T and rs7903146-C alleles were associated with higher BC risk. Conclusions C allele of rs1225404 and T allele of rs7903146, interaction between rs1225404 and abdominal obesity, rs1225404-T and rs7903146-C haplotype were all related to increased BC risk.

scholarly journals 7q21-rs6964587 and breast cancer risk: an extended case-control study by the Breast Cancer Association Consortium

2011 ◽  
Vol 48 (10) ◽  
pp. 698-702 ◽  
Author(s):  
R. L. Milne ◽  
J. Lorenzo-Bermejo ◽  
B. Burwinkel ◽  
N. Malats ◽  
J. I. Arias ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Case Control Study ◽  
Case Control ◽  
Breast Cancer Association Consortium ◽  
Control Study

scholarly journals A large-scale assessment of two-way SNP interactions in breast cancer susceptibility using 46 450 cases and 42 461 controls from the breast cancer association consortium

2013 ◽  
Vol 23 (7) ◽  
pp. 1934-1946 ◽  
Author(s):  
Roger L. Milne ◽  
Jesús Herranz ◽  
Kyriaki Michailidou ◽  
Joe Dennis ◽  
Jonathan P. Tyrer ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Large Scale ◽  
Cancer Susceptibility ◽  
Breast Cancer Susceptibility ◽  
Large Scale Assessment ◽  
Breast Cancer Association Consortium ◽  
Scale Assessment

scholarly journals Functional variants at the 21q22.3 locus involved in breast cancer progression identified by screening of genome-wide estrogen response elements

2014 ◽  
Vol 16 (5) ◽  
Author(s):  
Chia-Ni Hsiung ◽  
Hou-Wei Chu ◽  
Yuan-Ling Huang ◽  
Wen-Cheng Chou ◽  
Ling-Yueh Hu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Progression ◽  
Breast Cancer Progression ◽  
Response Elements ◽  
Functional Variants ◽  
Estrogen Response ◽  
Genome Wide ◽  
Estrogen Response Elements

scholarly journals 9q31.2-rs865686 as a Susceptibility Locus for Estrogen Receptor-Positive Breast Cancer: Evidence from the Breast Cancer Association Consortium

2012 ◽  
Vol 21 (10) ◽  
pp. 1783-1791 ◽  
Author(s):  
Helen Warren ◽  
Frank Dudbridge ◽  
Olivia Fletcher ◽  
Nick Orr ◽  
Nichola Johnson ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Estrogen Receptor ◽  
Susceptibility Locus ◽  
Breast Cancer Association Consortium ◽  
Estrogen Receptor Positive ◽  
Positive Breast Cancer
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