title: A Multinomial Ordinal Probit Model with Singular Value Decomposition Method for a Multinomial Trait.
abstract: We developed a multinomial ordinal probit model with singular value decomposition for testing a large number of single nucleotide polymorphisms SNPs simultaneously for association with multidisease status when sample size is much smaller than the number of SNPs. The validity and performance of the method was evaluated via simulation. We applied the method to our real study sample recruited through the Mexican-American Coronary Artery Disease study. We found 3 genes SORCS1, AMPD1, and PPARα to be associated with the development of both IGT and IFG, while 5 genes AMPD2, PRKAA2, C5, TCF7L2, and ITR with the IGT mechanism only and 6 genes CAPN10, IL4, NOS3, CD14, GCG, and SORT1 with the IFG mechanism only. These data suggest that IGT and IFG may indicate different physiological mechanism to prediabetes, via different genetic determinants.
authors.affiliation: Medical Genetics Institute, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Paciffc Theatres Building, 4th Floor, Los Angeles, CA 90048, USA.
authors.forename: Soonil
authors.initials: S
authors.lastname: Kwon
authors.forename: Mark O
authors.initials: MO
authors.lastname: Goodarzi
authors.forename: Kent D
authors.initials: KD
authors.lastname: Taylor
authors.forename: Jinrui
authors.initials: J
authors.lastname: Cui
authors.forename: Y-D Ida
authors.initials: YD
authors.lastname: Chen
authors.forename: Jerome I
authors.initials: JI
authors.lastname: Rotter
authors.forename: Willa
authors.initials: W
authors.lastname: Hsueh
authors.forename: Xiuqing
authors.initials: X
authors.lastname: Guo