Publications

Selected Key Integrative Genomics Publications by Sage Bionetworks scientists at Rosetta Inpharmatics and at Sage Bionetworks.

• A Bayesian Partition Method for Detecting Pleiotropic and Epistatic eQTL Module.
  Zhang W., Zhu J., Schadt EE., Liu J. PLoS Computational Biology 2010. 6: 1-10.

• Simultaneous Clustering of Multiple Gene Expression and Physical Interaction Datasets.
  Narayanan M., Vetta A., Schadt EE., Zhu J. PLoS Comput Biol. 2010. 6(4): e1000742.

• Assessing the prospects of genome-wide association studies performed in inbred mice.
  Su WL., Sieberts SK., Kleinhanz RR., Lux K., Millstein J., Molony C., Schadt EE. Mamm. Genome. 2010. 21(3-4):143-52.

• Characterizing Dynamic Changes in the Human Blood Transcriptional Network.
  Zhu J., Chen Y., Leonardson A., Wang K., Lamb JR., Emilsson V. and Schadt EE. PLoS Computational Biology 2010. 6(2).

• Integrating Pathway Analysis and Genetics of Gene Expression for Genome-wide Association Studies.
  Zhong J., Yang X., Kaplan L., Molony C., Schadt, EE. Am. Journal. Hum. 2010. 86(4):581-91.

• Molecular Networks as sensors and drivers of common human diseases.
  Schadt EE. Nature 2009. 461: 218-223.

• A network view of disease and compound screening.
  Schadt EE., Friend S., Shaywitz D. Nat Rev Drug Discov. 2009. 8(4):286-95.

• Meta-analysis of Inter-species Liver Co-expression Networks Elucidates Traits Associated with Common Human Diseases.
  Wang K, Narayanan M, Zhong H, Tompa M, Schadt EE, Zhu J.. PLoS Comput Biol. 2008. 5(12): e1000616.

• Validation of Candidate Causal Genes for Obesity Which Affect Shared Metabolic Pathways and Networks.
  Yang X., et al., Nature Genetics 2009. 41, 415-423.

• Integrating large-scale functional genomic data to dissect the complexity of yeast regulatory networks.
  Zhu J., et al., Nat Genet. 2008. 40(7):854-61.

• Mapping the genetic architecture of gene expression in human liver.
  Schadt EE., et al., PLoS Biol. 2008. 6(5):e107.

• Genetics of gene expression and its effect on disease.
  Emilsson V., et al., Nature. 2008. 452(7186):423-8.

• Variations in DNA elucidate molecular networks that cause disease.
  Chen Y., et al., Nature. 2008. 452(7186):429-35.

• An integrative genomics approach to infer causal associations between gene expression and disease.
  Schadt EE., et al., Nat Genet. 2005. 37(7):710-7.

 

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