JSM 2004 - Toronto

Abstract #301976

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Activity Number: 310
Type: Contributed
Date/Time: Wednesday, August 11, 2004 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #301976
Title: Incorporate Risk Factors into Haseman and Elston Nonparamatric Linkage Analysis Approach
Author(s): Chi-Hse Teng*+
Companies: Pfizer Inc.
Address: 439 Lexington Cir., Oceanside, CA, 92057,
Keywords: linkage analysis ; risk factor ; gene-environment interaction
Abstract:

Penrose proposed the sib-pair method in 1935. Since then, this approach has been extended and improved, such as Haseman and Elston (1972), Holmans and Clayton (1995), and Guo and Elston (2000). There were also efforts to include covariates into the analysis via perform regression between the IBD sharing probabilities and the covariates. We propose a different route to combine linkage information with risk factors information into single statistical model. We prepare the data into a case-control format that many standard statistical techniques can be easily applied to build a single model that includes the IBD sharing, risk factors, and the gene-gene, gene-environment, or environment-environment interactions. Genetic Analysis Workshpp (GAW) 13 simulated data (Problem 2) were used to demonstrate this approach. Logistic regression and survival analysis were performed to identify baseline and slope genes. Systolic blood pressure and high density Lipoprotein are selected phenotypes for the analyses. Several baseline genes, slope genes and risk factors were identified for each phenotype. The model selection criteria and building procedure need to be further improved.

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