JSM 2005 Online Program

Abstract #302643

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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Activity Number:	300
Type:	Invited
Date/Time:	Tuesday, August 9, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Section on Statistics in Epidemiology
Abstract - #302643
Title:	Sampling Issues in Human Quantitative Trait Locus Mapping
Author(s):	Eleanor Feingold*+
Companies:	University of Pittsburgh
Address:	130 DeSoto St. A310, Pittsburgh, PA, 15217,
Keywords:	quantitative trait locus ; QTL ; discordant pair
Abstract:	Quantitative trait locus (QTL) mapping in humans typically uses selected (nonpopulation) samples of families. Families can be selected because of a single member with an extreme trait value or because of multiple members with particular values. Often, the sampling scheme is not well defined---for example, when affected siblings are collected to study a binary disease trait such as diabetes and then later used to map associated quantitative traits. In the past few years, there have been a number of new statistical methods for human QTL mapping, but it is not clear which methods are powerful or even appropriate for selected samples. I will discuss the most common types of samples used in human QTL mapping and what statistical methods are powerful for analyzing data from each type. I will then compare the statistical power and the nonstatistical advantages and disadvantages of various sampling schemes. The focus will be on nuclear family data.

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