A Multinomial Ordinal Probit Model with Singular Value Decomposition Method for a Multinomial Trait. (29th May 2012)

• Record Type: Journal Article
• Authors: Kwon, Soonil; Goodarzi, Mark O.; Taylor, Kent D.; Cui, Jinrui; Chen, Y.-D. Ida; Rotter, Jerome I.; Hsueh, Willa; Guo, Xiuqing
• Other Names: Shao Yongzhao Academic Editor.
• Is Part Of: Journal of probability and statistics. Volume 2012(2012)
• Publication Date: 2012-05-29
• Subjects: Probabilities -- Periodicals; Mathematical statistics -- Periodicals; Mathematical statistics; Probabilities; Periodicals; 519
• DOI: 10.1155/2012/419832
• Languages: English
• ISSNs: 1687-952X

Abstract

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 PPAR α ) 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.