JSM Preliminary Online Program
This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Activity Number: 43
Type: Invited
Date/Time: Sunday, July 29, 2007 : 4:00 PM to 5:50 PM
Sponsor: IMS
Abstract - #308209
Title: Statistical Problems of Gene Mapping
Author(s): David Siegmund*+
Companies: Stanford University
Address: Department of Statistics, Stanford, CA, 94305-4020,
Keywords:
Abstract:

Gene mapping attempts to discover the genomic regions that contain genes contributing to specific phenotypes. It is used in experimental genetics to improve the hardiness or productivity of domestic animals or plants of agricultural value, explore basic mechanisms of inheritance, and/or study animal models of human inheritance. In human populations, it is used as a first step to identify genes associated with human health and disease. In this talk, I will discuss statistical issues of gene mapping, from the fundamental contribution of Fisher (1918) to the problems of today. Central issues involve models connecting genes and environment to phenotypes, statistical irregularities in the analysis of these models, multiple comparisons involved in testing many genetic markers for correlation with a phenotype or phenotypes, computational problems, and the role of population history.

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Revised September, 2007