Eric Reed

Eric ReedPh.D. Candidate, Bioinformatics, BUSM
Monti Lab

Education

2010 B.S. Biology, University of Massachusetts Boston, Boston, MA
2015 M.S. Biostatistics, University of Massachusetts Amherst, Amherst, MA

Contact Information

Email: reeder@bu.edu

Research Interests

Network-Based Analysis of Transcriptomic Data

I utilize gene expression data to investigate the conditional response of biological network activity to a variety of environmental exposures. This work compliments gene-by-gene differential expression analyses, but allows for a broader net of inference of cellular disruption caused by specific perturbations. Specifically, I explore the different networks affected by a variety of chemical perturbations known to cause similar phenotypic response, such as cancer and obesity, with the overall goal of sub-classifying these “perturbagens” and build predictive models for characterizing chemicals of unknown effect.

Publications

Ballantyne, R., Zhang, X., Nuñez, S., Xue, C., Zhao, W., Reed, E., … Reilly, M. (2016). Genome-wide interrogation reveals hundreds of long intergenic noncoding RNAs that associate with cardiometabolic traits. Human Molecular Genetics. http://doi.org/10.1093/hmg/ddw154

Qian, J., Nunez, S., Reed, E., Reilly, M. P., & Foulkes, A. S. (2016). A Simple Test of Class-Level Genetic Association Can Reveal Novel Cardiometabolic Trait Loci. Plos One, 11(2), e0148218. http://doi.org/10.1371/journal.pone.0148218

Yazdani, N., Parker, C. C., Shen, Y., Reed, E. R., Guido, M. A., Kole, L. A., … Bryant, C. D. (2015). Hnrnph1 Is A Quantitative Trait Gene for Methamphetamine Sensitivity. PLoS Genetics, 11(12). http://doi.org/10.1371/journal.pgen.1005713

Reed, E., Nunez, S., Kulp, D., Qian, J., Reilly, M. P., & Foulkes, A. S. (2015). A guide to genome-wide association analysis and post-analytic interrogation. Statistics in Medicine, 34(28), 3769–3792. http://doi.org/10.1002/sim.6605