This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 231
Type: Topic Contributed
Date/Time: Monday, August 2, 2010 : 2:00 PM to 3:50 PM
Sponsor: Section on Nonparametric Statistics
Abstract - #307025
Title: Semiparametric Regression Approaches for Longitudinal Genetic Studies
Author(s): Yuanjia Wang*+
Companies: Columbia University
Address: 722 West 168th Street, Room 205, New York, NY, New York, NY, 10032,
Keywords: Genome-wide association ; penalized spline ; quantitative trait locus
Abstract:

In family-based longitudinal genetic studies, investigators collect repeated measurements on a trait that changes with time along with genetic markers at specific genomic locations. Since measurements are nested within subjects and subjects are nested within families, both the subject-level and the measurement-level correlations must be taken into account in statistical analysis in order to achieve more accurate estimation. In this paper, we propose two classes of semiparametric models along with their statistical estimation and hypothesis testing procedures for longitudinal genetic studies. Penalized spline is employed to estimate the nonparametric functions in the models. We apply the proposed methods to examine age-specific effects of the genetic variants identified in a recent genome-wide association study on longitudinal measures of blood pressure in the Framingham Heart Study.


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