Abstract

The purpose of the WG Platform is to ensure that we consistently apply high-quality, state of the art WG approaches to the Projects. Several methods are currently used, including gene expression analyses and linkage mapping using microsatellite and/or SNP markers. Each has been previously used by PAAR investigators as described in our publications (41,46,47, 137,156) and PharmGKB submissions (ftp://ftp.pharmgkb.org/). Future studies may also include utilization of SNP arrays, although we have no specific planned studies at the time of grant submission. Choice of Platform methodology is guided by experts in the Molecular Genetics Core (MGC, p. 272), and analyses of the data are overseen by experts in the SDDA Core (p. 270).

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01GM061393-10
Application #
7899808
Study Section
Special Emphasis Panel (ZRG1)
Project Start
Project End
Budget Start
2009-07-01
Budget End
2010-06-30
Support Year
10
Fiscal Year
2009
Total Cost
$78,538
Indirect Cost

  Institution

Name
University of Chicago
Department
Type
DUNS #
005421136
City
Chicago
State
IL
Country
United States
Zip Code
60637

  Publications

Zhou, Shuqin; Skaar, Debra J; Jacobson, Pamala A et al. (2018) Pharmacogenomics of Medications Commonly Used in the Intensive Care Unit. Front Pharmacol 9:1436
House, Larry; Seminerio, Michael J; Mirkov, Snezana et al. (2018) Metabolism of megestrol acetate in vitro and the role of oxidative metabolites. Xenobiotica 48:973-983
Gamazon, Eric R; Trendowski, Matthew R; Wen, Yujia et al. (2018) Gene and MicroRNA Perturbations of Cellular Response to Pemetrexed Implicate Biological Networks and Enable Imputation of Response in Lung Adenocarcinoma. Sci Rep 8:733
Li, M; Seiser, E L; Baldwin, R M et al. (2018) ABC transporter polymorphisms are associated with irinotecan pharmacokinetics and neutropenia. Pharmacogenomics J 18:35-42
Geeleher, Paul; Nath, Aritro; Wang, Fan et al. (2018) Cancer expression quantitative trait loci (eQTLs) can be determined from heterogeneous tumor gene expression data by modeling variation in tumor purity. Genome Biol 19:130
Wing, Claudia; Komatsu, Masaaki; Delaney, Shannon M et al. (2017) Application of stem cell derived neuronal cells to evaluate neurotoxic chemotherapy. Stem Cell Res 22:79-88
Rudin, Shoshana; Marable, Marcus; Huang, R Stephanie (2017) The Promise of Pharmacogenomics in Reducing Toxicity During Acute Lymphoblastic Leukemia Maintenance Treatment. Genomics Proteomics Bioinformatics 15:82-93
Geeleher, Paul; Huang, R Stephanie (2017) Exploring the Link between the Germline and Somatic Genome in Cancer. Cancer Discov 7:354-355
Geeleher, Paul; Zhang, Zhenyu; Wang, Fan et al. (2017) Discovering novel pharmacogenomic biomarkers by imputing drug response in cancer patients from large genomics studies. Genome Res 27:1743-1751
Eadon, Michael T; Hause, Ronald J; Stark, Amy L et al. (2017) Genetic Variants Contributing to Colistin Cytotoxicity: Identification of TGIF1 and HOXD10 Using a Population Genomics Approach. Int J Mol Sci 18:

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