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Open Access Research article

Identifying breast cancer risk loci by global differential allele-specific expression (DASE) analysis in mammary epithelial transcriptome

Chuan Gao1, Karthik Devarajan2, Yan Zhou3, Carolyn M Slater1, Mary B Daly4 and Xiaowei Chen1*

Author Affiliations

1 Cancer Epigenetics Program, Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, PA, 19111, USA

2 Department of Biostatics and Bioinformatics, Fox Chase Cancer Center, Philadelphia, PA, 19111, USA

3 Department of Biostatics and Bioinformatics, Fox Chase Cancer Center, Philadelphia, PA, 19111, USA

4 Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, 19111, USA

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BMC Genomics 2012, 13:570  doi:10.1186/1471-2164-13-570

Published: 30 October 2012

Additional files

Additional file 1:

Table S1. Global DASE analysis.

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Additional file 2:

Table S2. Functional analysis by IPA.

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Additional file 3:

Figure S1. Sequencing analysis of DMBT1 3′UTRs.

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Additional file 4:

Figure S2. Predictions of microRNA-targeting at DMBT1 3′UTR.

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Open Data

Additional file 5:

Figure S3. Distribution of DASE.

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Open Data