Statistical Methods for Genetic Studies in Structured Populations

Event Details
  • Date/Time:
    • Friday December 5, 2008
      10:00 am - 11:00 am
  • Location: Executive Classroom 228, Main Bldg.
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  • Fee(s):
    $0.00
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Contact
Nicoleta Serban
ISyE
Contact Nicoleta Serban
404-385-7255
Summaries

Summary Sentence: Statistical Methods for Genetic Studies in Structured Populations

Full Summary: Statistical Methods for Genetic Association Studies in Structured Populations

TITLE: Statistical Methods for Genetic Association Studies in Structured Populations

SPEAKER: Timothy A. Thornton, Ph.D.
UC President's Postdoctoral Fellow
Department of Statistics
University of California, Berkeley

ABSTACT:

Genetic association testing has proven to be a valuable tool for the mapping of complex traits. Technological advances have made it feasible to perform case-control association studies on a genome-wide basis. Some of the characteristics of the data include missing information, and the need to analyze hundreds of thousands or millions of genetic markers in a single study, which puts a premium on computational speed of the methods. The observations in these studies can have several sources of dependence, including population structure and relatedness among the sampled individuals, where some of this structure may be unknown. Neglecting such structure in the data can lead to seriously spurious associations. We describe a new approach to this problem.

Additional Information

In Campus Calendar
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Groups

H. Milton Stewart School of Industrial and Systems Engineering (ISYE)

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Categories
Seminar/Lecture/Colloquium
Keywords
genetic
Status
  • Created By: Anita Race
  • Workflow Status: Published
  • Created On: Oct 12, 2009 - 4:37pm
  • Last Updated: Oct 7, 2016 - 9:47pm