Downloaded from genome.cshlp.org on October 4, 2021 - Published by Cold Spring Harbor Laboratory Press An Integrated Systems Genetics Screen Reveals the Transcriptional Structure of Inherited Predisposition to Metastatic Disease Farhoud Faraji1,2,3, Ying Hu4, Gang Wu5, Natalie E. Goldberger1, Renard C. Walker1, Jinghui Zhang5, and Kent W. Hunter1 Author Affiliations: 1. Metastasis Susceptibility Section, Laboratory of Cancer Biology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA. 2. Department of Biochemistry and Molecular Biology, School of Medicine, Saint Louis University, Saint Louis, Missouri, USA. 3. Howard Hughes Medical Institute-National Institutes of Health Research Scholars Program, Chevy Chase, Maryland, USA. 4. Laboratory of Population Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA. 5. Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA. Corresponding Author: Kent W. Hunter 37 Convent Drive Room 5046 Bethesda, MD 20892, USA. Phone: 301-435-8957 Fax: 301-480-2772 E-mail:
[email protected] Key Words Breast Cancer, Metastasis Susceptibility, MicroRNA, Systems Genetics, Systems Biology, Heritable, Genetic Screen, Expression Quantitative Trait Locus, eQTL, Cnot2, Mir216a, Mir216b, Mir217, Mir3470a, Mir3470b. Running Title Systems Analysis of Metastasis Predisposition 1 Downloaded from genome.cshlp.org on October 4, 2021 - Published by Cold Spring Harbor Laboratory Press ABSTRACT Metastasis is the result of stochastic genomic and epigenetic events leading to gene expression profiles that drive tumor dissemination. Here we exploit the principle that metastatic propensity is modified by the genetic background to generate prognostic gene expression signatures that illuminate regulators of metastasis.