scholarly journals Meta-analyses of Observational and Genetic Association Studies of Folate Intakes or Levels and Breast Cancer Risk

2006 ◽  
Vol 98 (22) ◽  
pp. 1607-1622 ◽  
Author(s):  
Sarah J. Lewis ◽  
Roger M. Harbord ◽  
Ross Harris ◽  
George Davey Smith
2011 ◽  
Vol 127 (2) ◽  
pp. 573-576 ◽  
Author(s):  
Chun Zhang ◽  
Jian-Ping Li ◽  
Ping Zhou

Blood ◽  
2012 ◽  
Vol 119 (4) ◽  
pp. 1029-1031 ◽  
Author(s):  
Yussanne P. Ma ◽  
Flora E. van Leeuwen ◽  
Rosie Cooke ◽  
Annegien Broeks ◽  
Victor Enciso-Mora ◽  
...  

Abstract Women treated at young ages with supradiaphragmatic radiotherapy for Hodgkin lymphoma (HL) have a highly increased risk of breast cancer. For personalized advice and follow-up regimens for patients, information is needed on how the radiotherapy-related risk is affected by other breast cancer risk factors. Genome-wide association studies have identified 14 independently replicated common single nucleotide polymorphisms that influence breast cancer risk. To examine whether these variants contribute to risk of radiation-associated breast cancer in HL, we analyzed 2 independent case-control series, from the United Kingdom and The Netherlands, totaling 693 HL patients, 232 with breast cancer and 461 without. rs1219648, which annotates the FGFR2 gene, was associated with risk in both series (combined per-allele odds ratio = 1.59, 95% confidence interval: 1.26-2.02; P = .000111). These data provide evidence that genetic variation in FGFR2 influences radiation-induced breast cancer risk.


2019 ◽  
Author(s):  
Jonathan Beesley ◽  
Haran Sivakumaran ◽  
Mahdi Moradi Marjaneh ◽  
Luize G. Lima ◽  
Kristine M. Hillman ◽  
...  

ABSTRACTGenome-wide association studies have identified 196 high confidence independent signals associated with breast cancer susceptibility. Variants within these signals frequently fall in distal regulatory DNA elements that control gene expression. We designed a Capture Hi-C array to enrich for chromatin interactions between the credible causal variants and target genes in six human mammary epithelial and breast cancer cell lines. We show that interacting regions are enriched for open chromatin, histone marks for active enhancers and transcription factors relevant to breast biology. We exploit this comprehensive resource to identify candidate target genes at 139 independent breast cancer risk signals, and explore the functional mechanism underlying altered risk at the 12q24 risk region. Our results demonstrate the power of combining genetics, computational genomics and molecular studies to rationalize the identification of key variants and candidate target genes at breast cancer GWAS signals.


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