SNP Interactions in Breast Cancer Risk
Author Information
Author(s): Onay Venüs Ümmiye, Briollais Laurent, Knight Julia A, Shi Ellen, Wang Yuanyuan, Wells Sean, Li Hong, Rajendram Isaac, Andrulis Irene L, Ozcelik Hilmi
Primary Institution: Mount Sinai Hospital, Toronto, Ontario, Canada
Hypothesis
Can interactions between single nucleotide polymorphisms (SNPs) contribute to breast cancer susceptibility?
Conclusion
The study found significant SNP-SNP interactions that may increase breast cancer risk, despite individual SNPs showing no significant effects.
Supporting Evidence
- XPD-[Lys751Gln] and IL10-[G(-1082)A] interaction was significant with p=0.007.
- GSTP1-[Ile105Val] and COMT-[Met108/158Val] interaction was significant with p=0.007.
- COMT-[Met108/158Val] and CCND1-[Pro241Pro] interaction was significant with p=0.014.
- BARD1-[Pro24Ser] and XPD-[Lys751Gln] interaction was significant with p=0.014.
Takeaway
This study looked at how different genetic variations can work together to increase the risk of breast cancer, even if each one alone doesn't seem to matter much.
Methodology
The study used a case-control design analyzing 19 SNPs from cancer-related genes in a population-based breast cancer registry.
Potential Biases
Potential selection bias due to the case-control design and the exclusion of non-Caucasian participants.
Limitations
The study was limited to Caucasian women under 55 and may not generalize to other populations.
Participant Demographics
398 breast cancer cases and 372 controls, all Caucasian women under age 55.
Statistical Information
P-Value
0.007
Confidence Interval
95% CI: 1.3-12.4
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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