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Untitled Document
 
Genomics and Biomarker Development: Data Analysis Techniques
Course # P09
March 27 - March 28, 2008
Start - 8:00     Finish - 5:00
Hotel Information:
Marriott Residence Inn Arlington at Rosslyn

Marriott Residence Inn Arlington at Rosslyn
1651 N. Oak Street
Arlington, VA 22209

Discounted Hotel Room Rate: $249.
Reserve Your Hotel Room: call hotel and mention PERI to receive the discounted rate.
Deadline to Receive Discounted Rate: 3/4/08


Rate: $ 229
Deadline for Group Rate: 2008-03-04
Hotel Policy
Registration Rate:
$1,295.00 Register by 02/11/08
$1,495.00 Register after 02/11/08
Cancellation Date: 3/10/08 (Cancellation fee is determined by date cancelled.)
Course Completed
Registration Policy

Continuing Education Credit:
ACPE: 708-000-06-017-L04 (1.125 CEU)
            Initial Release Date: 10/19/06
CBRN: N/A
CME: 11.25 Hours of Category 1 Credit
VNA: 07-04-01 11.25 Contact Hours
Continuing Education Policy
 
Course Description:

This course is being held at:
The PERI Training Facility
1616 N Fort Myer Drive, Suite 1430
Arlington, VA 22209

Recent advances in the study of the genome are having profound impacts on pharmaceutical research, from target discovery and pathway analysis to biomarker identification and development. Biomarkers of drug response, including safety, efficacy and toxicity, are a key component of the FDA Critical Path Initiative to improve the success rates of development of new medicines. Biomarkers for drug  response could include any relevant measurement from the human biological hierarchy, including gene polymorphisms, gene expression, proteins or metabolites.  New high throughput experimental technologies, such as DNA microarrays, which enable scientists to study biological systems on a genome-wide scale, have become important tools in modern pharmaceutical research and development. The datasets generated by these technologies are complex and careful statistical analysis is necessary in order to properly interpret the data. 

The technical emphasis of the course will be on statistical concepts related to the analysis of genetic polymorphisms, including their role in individual variation in drug response, and on the design and analysis of DNA microarray experiments.

Overall, this course will provide an introduction to the emerging and important topic of statistical analysis of genomic data and the role of statistical methods for biomarker discovery and development.

Who Should Attend:

Scientists involved with the identification, development, or use of biomarkers, including translational scientists, clinical scientists and clinicians, discovery biologists, and toxicologists. Statisticians and bioinformaticians involved with biomarker data may also benefit.

Educational Objectives:
Upon completion of this course, participants should be able to:

 

  • Have a basic understanding of statistical issues surrounding genomic studies
  • Be aware of the most commonly used genomic technologies and the data they generate
  • Understand how genomic biomarker discovery and validation enhances pharmaceutical development 
  • Be familiar with regulatory issues relating to genomics and biomarkers
Key Topics:
  • Statistical concepts related to analysis of biomarker/genomics data
  • Pharmacogenetics and pharmacogenomics
  • Microarray data analysis
  • Regulatory issues

Contact Course Manager:
Course Manager
 
PERI reserves the right to change agenda items and instructors without notice to accommodate situations beyond its control.