scholarly journals Common Genetic Variants in the Vitamin D Pathway Including Genome-Wide Associated Variants Are Not Associated with Breast Cancer Risk among Chinese Women

2011 ◽  
Vol 20 (10) ◽  
pp. 2313-2316 ◽  
Author(s):  
Tsogzolmaa Dorjgochoo ◽  
Ryan Delahanty ◽  
Wei Lu ◽  
Jirong Long ◽  
Qiuyin Cai ◽  
...  
Author(s):  
Nasim Mavaddat ◽  
Paul D. P. Pharoah ◽  
Kyriaki Michailidou ◽  
Jonathan Tyrer ◽  
Mark N. Brook ◽  
...  

2010 ◽  
Vol 362 (11) ◽  
pp. 986-993 ◽  
Author(s):  
Sholom Wacholder ◽  
Patricia Hartge ◽  
Ross Prentice ◽  
Montserrat Garcia-Closas ◽  
Heather Spencer Feigelson ◽  
...  

PLoS ONE ◽  
2015 ◽  
Vol 10 (9) ◽  
pp. e0136650 ◽  
Author(s):  
Charmaine Pei Ling Lee ◽  
Hyungwon Choi ◽  
Khee Chee Soo ◽  
Min-Han Tan ◽  
Wen Yee Chay ◽  
...  

Author(s):  
Mark E. Robson ◽  
Anne S. Reiner ◽  
Jennifer D. Brooks ◽  
Patrick J. Concannon ◽  
Esther M. John ◽  
...  

PLoS ONE ◽  
2011 ◽  
Vol 6 (6) ◽  
pp. e21563 ◽  
Author(s):  
Yue Jiang ◽  
Hao Shen ◽  
Xiao'an Liu ◽  
Juncheng Dai ◽  
Guangfu Jin ◽  
...  

2021 ◽  
Author(s):  
Xiaoliang Wang ◽  
Pooja Middha Kapoor ◽  
Paul L. Auer ◽  
Joe Dennis ◽  
Alison M. Dunning ◽  
...  

Abstract Background: Use of menopausal hormone therapy (MHT) is associated with increased risk for breast cancer. However, the relevant mechanisms and its interaction with genetic variants are not fully understood. Methods: We conducted a genome-wide interaction analysis between MHT use and genetic variants for breast cancer risk in 27,585 cases and 34,785 controls from 26 observational studies. All women were post-menopausal and of European ancestry. Multivariable logistic regression models were used to test for multiplicative interactions between genetic variants and current MHT use. We considered interaction p-values<5x10-8 as genome-wide significant, and p-values<1x10-5 as suggestive. Linkage disequilibrium (LD)-based clumping was performed to identify independent candidate variants.Results: None of the 9.7 million genetic variants tested for interactions with MHT use reached genome-wide significance. Only 213 variants, representing 18 independent loci, had p-values<1x105. The strongest evidence was found for rs4674019 (p-value=2.27x10-7), which showed genome-wide significant interaction (p-value=3.8x10-8) with current MHT use when analysis was restricted to population-based studies only. Limiting the analyses to combined estrogen-progesterone MHT use only or to estrogen receptor (ER) positive cases did not identify any genome-wide significant evidence of interactions. Conclusions: In this large genome-wide SNP-MHT interaction study of breast cancer, we found no strong support for common genetic variants modifying the effect of MHT on breast cancer risk. These results suggest that common genetic variation has limited impact on the observed MHT–breast cancer risk association.


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