JSM 2005 Online Program

JSM Activity #CE_04C

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

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CE_04C	Sat, 8/6/05, 8:00 AM - 4:00 PM	MCC-101 J
Introduction to Statistical Methods in Human Genetics - Continuing Education - Course
ASA, Biometrics Section
Instructor(s): Hongyu Zhao, Yale University
Although statistical genetics as a research field has been around for almost a century, recent progresses in molecular technologies have revolutionalized it in almost every way. Millions of genetic variants have been identified in the human genome and these variants hold the key to our understanding of disease etiologies. Genomic and proteomic tools allow us to study gene expression and protein expression profiles simultaneously. These technological advances have posed both great opportunities and challenges for statisticians to develop efficient and robust statistical and computational methods to fully realize the potentials in the enormous amounts of data that are being collected. Therefore, there is a great demand for statisticians to participate in the design and analysis of human genetics studies. This one-day short course serves to introduce statisticians/biostatisticians to the field of statistical genetics, covering both fundamental principles and recent developments and challenges. Numerous examples will be provided to illustrate the applications of the statistical methods. Genetics background is not required. This seminar will benefit a statistician/biostatistician who is interested in learning basic principles in the mapping of disease genes and how statistical methods are used in this field.