October 1–2, 2001
Nebraska Union Auditorium
Speakers: Robert Elston, Jane Olson, John Witte
Dept. of Epidemiology and Biostatistics, Case Western Reserve University,
School of Medicine
Monday, October 1
8:15–8:30 a.m. Opening Remarks
8:30–10:00 a.m. Genetic terms and concepts
10:30–12:00 noon Linkage analysis of quantitative traits
1:30–3:00 p.m. Linkage analysis of disease traits with
convariates
3:30–5:00 p.m. Relationship testing and model misspecification
Tuesday, October 2
8:30–10:00 a.m. Design of linkage disequilibrium studies
10:30–12:00 noon Linkage disequilibrium analysis
Abstract:
The genetic terms and concepts required for the statistical mapping genes
will first be defined. Genetic linkage analysis and its role in gene
discovery will be discussed. Emphasis will be on methods of analysis
appropriate for complex traits, first for quantitative traits measured on
members of sibships and then affected-sib-pair methods and the use of
covariate information to allow for disease heterogeneity. We show how such
methods can dramatically increase the power to detect disease genes. We
discuss methods for correctly inferring family relationship and the impact
of relationship and other model misspecification on linkage analysis. The
final section of this course will focus on linkage disequilibrium (i.e.,
association) studies for mapping genes. Here, we first cover the genetic
theory underlying this approach. Next we discuss the different types of
study designs that can be used for such studies (familial versus
non-familial). Finally, we present and discuss analytic approaches for
mapping by linkage disequilibrium.
Scientific Program information contact:
Partha Lahiri plahiri@unlnotes.unl.edu Phone No. 301/314–5903
Registration information contact:
Barb Rolfes brolfes@math.unl.edu Phone No. 402/472–7241
http://math.unl.edu
Statistics Department