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

Abstract Details

Activity Number: 418
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #308049
Title: A Novel Method for Testing Association of Multiple Genetic Markers with a Multinomial Trait: Application to the Study of Genetic Contribution to Two Mechanisms for Prediabetes
Author(s): Soonil Kwon and Xiuqing Guo*+ and Mark O. Goodarzi and Kent D. Taylor and Jinrui Cui and Y-D Chen and Jerome I. Rotter and Willa Hsueh
Companies: Cedars-Sinai Medical Center and Cedars-Sinai Medical Center and Cedars-Sinai Medical Center and Cedars-Sinai Medical Center and Cedars-Sinai Medical Center and Cedars-Sinai Medical Center and The Methodist Hospital Research Institute
Address: 8700 Beverly Bl. PACT 400, Los Angeles, CA, 90048,
Keywords: association of multiple genetic markers ; multinomial trait ; prediabetes
Abstract:

We developed a multinomial probit model with singular value decomposition for testing a large number of single nucleotide polymorphisms (SNPs) simultaneously, using maximum likelihood estimation and permutation. Validation was by simulation (1000 SNPs) including 9 associated with disease states, and 8 of the 9 were successfully identified. Applying the method to study 32 genes available in our Mexican-American samples for association with prediabetes through either impaired glucose tolerance (IGT) or impaired fasting glucose (IFG), we found 3 genes (SORCS1,AMPD1,PPARa) associated with both IGT and IFG, while 5 genes (AMPD2,PRKAA2,C5,TCF7L2,ITR) with the IGT mechanism only and 6 genes (CAPN10,IL4,NOS3,CD14,GCG,SORT1) with the IFG mechanism only. These data suggest that IGT and IFG may indicate different physiological mechanism to prediabetes, via different genetic determinants.


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