Jinghua Zhao

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GABA receptor genes have been postulated as candidates affecting the risk for alcoholism. The potential association between genes encoding five subunits of the GABA(A) receptors and alcoholism (alcohol dependence) was analyzed in the multiplex alcoholic pedigrees collected by the Collaborative Study on the Genetics of Alcoholism (COGA) using family-based(More)
  • Suraj D. Amonkar, Greg P. Bertenshaw, Tzong-Hao Chen, Katharine J. Bergstrom, Jinghua Zhao, Partha Seshaiah +2 others
  • 2009
BACKGROUND Most women with a clinical presentation consistent with ovarian cancer have benign conditions. Therefore methods to distinguish women with ovarian cancer from those with benign conditions would be beneficial. We describe the development and preliminary evaluation of a serum-based multivariate assay for ovarian cancer. This hypothesis-driven study(More)
OBJECTIVE Single nucleotide polymorphisms (SNPs) in the P2 promoter region of HNF4A were originally shown to be associated with predisposition for type 2 diabetes in Finnish, Ashkenazi, and, more recently, Scandinavian populations, but they generated conflicting results in additional populations. We aimed to investigate whether data from a large-scale(More)
BACKGROUND Genetic association study is currently the primary vehicle for identification and characterization of disease-predisposing variant(s) which usually involves multiple single-nucleotide polymorphisms (SNPs) available. However, SNP-wise association tests raise concerns over multiple testing. Haplotype-based methods have the advantage of being able(More)
BACKGROUND In genetic association study, especially in GWAS, gene- or region-based methods have been more popular to detect the association between multiple SNPs and diseases (or traits). Kernel principal component analysis combined with logistic regression test (KPCA-LRT) has been successfully used in classifying gene expression data. Nevertheless, the(More)
—To build a new bidding model of multi-attribute online auctions, this paper introduces the concepts of multi-type attribute and nonlinear function. The model can measure the effect of the attributes in auctions by adopting the normalized method of weighting and it will set the stage for the purchasers to evaluate suppliers in the procurement management.(More)
For genome-wide association data analysis, two genes in any pathway, two SNPs in the two linked gene regions respectively or in the two linked exons respectively within one gene are often correlated with each other. We therefore proposed the concept of gene-gene co-association, which refers to the effects not only due to the traditional interaction under(More)
Currently, the genetic variants identified by genome wide association study (GWAS) generally only account for a small proportion of the total heritability for complex disease. One crucial reason is the underutilization of gene-gene joint effects commonly encountered in GWAS, which includes their main effects and co-association. However, gene-gene(More)
Currently, most methods for detecting gene-gene interaction (GGI) in genomewide association studies (GWASs) are limited in their use of single nucleotide polymorphism (SNP) as the unit of association. One way to address this drawback is to consider higher level units such as genes or regions in the analysis. Earlier we proposed a statistic based on(More)