scholarly journals Breast Cancer Risk and Insulin Resistance: Post Genome-Wide Gene–Environment Interaction Study Using a Random Survival Forest

2019 ◽  
Vol 79 (10) ◽  
pp. 2784-2794 ◽  
Author(s):  
Su Yon Jung ◽  
Jeanette C. Papp ◽  
Eric M. Sobel ◽  
Herbert Yu ◽  
Zuo-Feng Zhang
Keyword(s):  
Breast Cancer ◽  
Insulin Resistance ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Environment Interaction ◽  
Interaction Study ◽  
Gene Environment Interaction ◽  
Gene Environment ◽  
Genome Wide ◽  
Random Survival Forest

Breast Cancer Risk in Relation to Alcohol Consumption and BRCA Gene Mutations - A Case-Only Study of Gene-Environment Interaction

2011 ◽  
Vol 17 (5) ◽  
pp. 477-484 ◽  
Author(s):  
Jessica Dennis ◽  
Daniel Krewski ◽  
Frédérique-Sophie Côté ◽  
Eve Fafard ◽  
Julian Little ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Alcohol Consumption ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Gene Mutations ◽  
Environment Interaction ◽  
Gene Environment Interaction ◽  
Brca Gene ◽  
Gene Environment

scholarly journals Pro-inflammatory cytokine polymorphisms and interactions with dietary alcohol and estrogen, risk factors for invasive breast cancer using a post genome-wide analysis for gene–gene and gene–lifestyle interaction

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Su Yon Jung ◽  
Jeanette C. Papp ◽  
Eric M. Sobel ◽  
Matteo Pellegrini ◽  
Herbert Yu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Visceral Obesity ◽  
Cumulative Exposure ◽  
Environment Interaction ◽  
Dependent Manner ◽  
Nucleotide Polymorphisms ◽  
Genome Wide ◽  
Reduction Methods

AbstractMolecular and genetic immune-related pathways connected to breast cancer and lifestyles in postmenopausal women are not fully characterized. In this study, we explored the role of pro-inflammatory cytokines such as C-reactive protein (CRP) and interleukin-6 (IL-6) in those pathways at the genome-wide level. With single-nucleotide polymorphisms (SNPs) in the biomarkers and lifestyles together, we further constructed risk profiles to improve predictability for breast cancer. Our earlier genome-wide association gene-environment interaction study used large cohort data from the Women’s Health Initiative Database for Genotypes and Phenotypes Study and identified 88 SNPs associated with CRP and IL-6. For this study, we added an additional 68 SNPs from previous GWA studies, and together with 48 selected lifestyles, evaluated for the association with breast cancer risk via a 2-stage multimodal random survival forest and generalized multifactor dimensionality reduction methods. Overall and in obesity strata (by body mass index, waist, waist-to-hip ratio, exercise, and dietary fat intake), we identified the most predictive genetic and lifestyle variables. Two SNPs (SALL1 rs10521222 and HLA-DQA1 rs9271608) and lifestyles, including alcohol intake, lifetime cumulative exposure to estrogen, and overall and visceral obesity, are the most common and strongest predictive markers for breast cancer across the analyses. The risk profile that combined those variables presented their synergistic effect on the increased breast cancer risk in a gene–lifestyle dose-dependent manner. Our study may contribute to improved predictability for breast cancer and suggest potential interventions for the women with the risk genotypes and lifestyles to reduce their breast cancer risk.

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