Genetic Regulators of Breast Cancer Gene Expression
Author Information
Author(s): Zheng Tian, Wang Shuang, Cong Lei, Ding Yuejing, Ionita-Laza Iuliana, Lo Shaw-Hwa
Primary Institution: Columbia University
Hypothesis
Studying the heritability of gene expression levels on breast cancer related transcripts can lead to the identification of shared common regulators and inter-regulation patterns.
Conclusion
The study identified interesting inter-regulation patterns and significant overlaps of genetic regulators between breast cancer related transcripts.
Supporting Evidence
- The study identified 18 transcripts related to breast cancer susceptibility genes.
- Regulatory hotspots for these transcripts were identified.
- Evidence on interacting genetic regulatory loci shared by these transcripts was derived.
Takeaway
This study looked at how certain genes related to breast cancer work together and found important patterns that could help us understand the disease better.
Methodology
The study used multilocus association genome-wide scans combined with traditional linkage scans to analyze 18 breast cancer related transcripts.
Limitations
The performance of the association scan would be improved with denser SNP data.
Participant Demographics
194 individuals from 14 CEPH families were studied.
Statistical Information
P-Value
4 × 10-3
Statistical Significance
p=4 × 10-3
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