| Title |
Genetic variation in vitamin D-related genes and risk of breast cancer among women of European and East Asian descent
|
|---|---|
| Published in |
Tumor Biology, December 2015
|
| DOI | 10.1007/s13277-015-4417-8 |
| Pubmed ID | |
| Authors |
Joy Shi, Anne Grundy, Harriet Richardson, Igor Burstyn, Johanna M. Schuetz, Caroline A. Lohrisch, Sandip K. SenGupta, Agnes S. Lai, Angela Brooks-Wilson, John J. Spinelli, Kristan J. Aronson |
| Abstract |
Studies of vitamin D-related genetic variants and breast cancer have been inconsistent. This study aimed to investigate associations of vitamin D-related polymorphisms and breast cancer risk among European and East Asian women and potential interactions with menopausal status and breast tumour subtypes. Data from a case-control study of breast cancer (1037 cases and 1050 controls) were used to assess relationships between 21 polymorphisms in two vitamin D-related genes (GC and VDR) and breast cancer risk. Odds ratios were calculated in stratified analyses of European and East Asian women, using logistic regression in an additive genetic model. An interaction term was used to explore modification by menopausal status. Polytomous regression was used to assess heterogeneity by breast tumour subtype. False discovery rate adjustments were conducted to account for multiple testing. No association was observed between GC or VDR polymorphisms and breast cancer risk. Modification of these relationships by menopausal status was observed for select polymorphisms in both Europeans (VDR rs4328262 and rs11168292) and East Asians (GC rs7041 and VDR rs11168287). Heterogeneity by tumour subtype was seen for three VDR polymorphisms (rs1544410, rs7967152 and rs2239186) among Europeans, in which associations with ER-/PR-/HER2+ tumours, but not with other subtypes, were observed. In conclusion, associations between vitamin D-related genetic variants and breast cancer were not observed overall, although the relationships between vitamin D pathway polymorphisms and breast cancer may be modified by menopausal status and breast tumour subtype. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 25% |
| Lecturer | 5 | 14% |
| Student > Bachelor | 5 | 14% |
| Student > Ph. D. Student | 5 | 14% |
| Researcher | 3 | 8% |
| Other | 4 | 11% |
| Unknown | 5 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 19% |
| Biochemistry, Genetics and Molecular Biology | 6 | 17% |
| Nursing and Health Professions | 4 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Immunology and Microbiology | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 10 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 December 2015.
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#18,431,664
of 22,834,308 outputs
Outputs from Tumor Biology
#1,369
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Outputs of similar age
#279,784
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Outputs of similar age from Tumor Biology
#123
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