Research Topics
| Yuehua CuiSummaryAffiliation: Michigan State University Country: USA Publications
| Collaborators
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Detail Information
Publications
A statistical framework for genome-wide scanning and testing of imprinted quantitative trait lociYuehua Cui
Department of Statistics and Probability, Michigan State University, East Lansing, MI 48824, USA
J Theor Biol 244:115-26. 2007..The developed model, built within the maximum likelihood framework and implemented with the EM algorithm, provides a quantitative framework for testing and estimating iQTL involved in the genetic control of complex traits...- Functional mapping imprinted quantitative trait loci underlying developmental characteristicsYuehua Cui
Department of Statistics and Probability, Michigan State University, East Lansing, MI 48824, USA
Theor Biol Med Model 5:6. 2008..For a developmental character such as growth, current approach is less efficient in dissecting the dynamic genetic effect of imprinted genes during individual ontology... - Zero-inflated generalized Poisson regression mixture model for mapping quantitative trait loci underlying count trait with many zerosYuehua Cui
Department of Statistics and Probability, Michigan State University, East Lansing, MI 48824, USA
J Theor Biol 256:276-85. 2009..The utility of the developed approach is illustrated through a mouse F(2) intercross data set. Significant QTLs are detected to control mouse cholesterol gallstone formation... - Gene-centric genomewide association study via entropyYuehua Cui
Department of Statistics and Probability, Michigan State University, East Lansing, MI 48824, USA
Genetics 179:637-50. 2008..As the genomewide genic SNPs become available, our entropy-based gene-centric approach would provide a robust and computationally efficient way for gene-based genomewide association study... - Nonparametric functional mapping of quantitative trait loci underlying programmed cell deathYuehua Cui
Michigan State University, USA
Stat Appl Genet Mol Biol 7:Article4. 2008..The developed model provides a quantitative and testable framework for assessing the interplay between genes and the developmental PCD process, and will have great implications for elucidating the genetic architecture of the PCD process... - On the generalized poisson regression mixture model for mapping quantitative trait loci with count dataYuehua Cui
Department of Statistics and Probability, Michigan State University, East Lansing 48824, USA
Genetics 174:2159-72. 2006..An application to a rice tiller number data set is given. Our approach provides a standard procedure for mapping QTL involved in the genetic control of complex traits measured in counts... - A statistical model for dissecting genomic imprinting through genetic mappingYuehua Cui
Department of Statistics and Probability, Michigan State University, A 411 Wells Hall, East Lansing, MI 48824, USA
Genetica 130:227-39. 2007..Two partially maternal imprinting iQTL are identified which regulate the growth of body weight. Our approach provides a testable framework for identifying and estimating iQTL involved in the genetic control of complex traits... - Functional mapping of dynamic traits with robust t-distributionCen Wu
Department of Statistics and Probability, Michigan State University, East Lansing, Michigan, United States of America
PLoS ONE 6:e24902. 2011..Simulation studies show increased mapping power and precision with the t distribution than that of a normal distribution. The utility of the method is demonstrated through a real data analysis... - Mapping haplotype-haplotype interactions with adaptive LASSOMing Li
Department of Epidemiology, Michigan State University, East Lansing, Michigan 48824, USA
BMC Genet 11:79. 2010.... - Bagging optimal ROC curve method for predictive genetic tests, with an application for rheumatoid arthritisQing Lu
Department of Epidemiology, Michigan State University, East Lansing, Michigan, USA
J Biopharm Stat 20:401-14. 2010..The new method was applied on the Wellcome Trust data set to form a predictive genetic test for rheumatoid arthritis. The formed test reached an area under the curve (AUC) value of 0.7... - A systems biology approach for identifying novel pathway regulators in eQTL mappingShaoyu Li
Department of Statistics and Probability, Michigan State University, East Lansing, Michigan, USA
J Biopharm Stat 20:373-400. 2010..The method is motivated and applied to a yeast data set. Significant pathway regulators and regulation hotspots are detected. The proposed method provides a powerful tool for understanding gene regulation at a pathway level... - A regularized regression approach for dissecting genetic conflicts that increase disease risk in pregnancyShaoyu Li
Michigan State University, East Lansing, MI 48824, USA
Stat Appl Genet Mol Biol 8:Article 45. 2009..Our model provides a powerful tool for dissecting genetic conflicts that increase disease risk during pregnancy, and offers a testable framework for the genetic conflict hypothesis previously proposed... - Varying coefficient model for gene-environment interaction: a non-linear lookShujie Ma
Department of Statistics and Probability, Michigan State University, East Lansing, Michigan 48824, USA
Bioinformatics 27:2119-26. 2011..Both simulation and real data analysis demonstrate the power and utility of the proposed method. Our method provides a powerful and testable framework for assessing non-linear G×E interaction... - Designs for linkage analysis and association studies of complex diseasesYuehua Cui
Department of Statistics and Probability, Michigan State University, East Lansing, MI, USA
Methods Mol Biol 620:219-42. 2010..Designs in genetical genomics analysis are also covered in this chapter... - Mapping Nucleotide Sequences that Encode Complex Binary Disease Traits with HapMapYuehua Cui
Department of Statistics and Probability, Michigan State University, East Lansing, Michigan 48824
Curr Genomics 8:307-22. 2007..To illustrate the utility, we apply the method to a genetic association study of large for gestational age (LGA) neonates. The model provides a powerful tool for elucidating the genetic basis of complex binary diseases... - An entropy-based approach for testing genetic epistasis underlying complex diseasesGuolian Kang
Department of Statistics and Probability, East Lansing, Michigan State University, MI 48824, USA
J Theor Biol 250:362-74. 2008..Our approach provides a fast and testable framework for genetic epistasis study in a case-only design... - The effect of multiple genetic variants in predicting the risk of type 2 diabetesQing Lu
Department of Epidemiology, Michigan State University, B601 West Fee Hall, East Lansing, Michigan 48824 USA
BMC Proc 3:S49. 2009..This could be explained by the absence of gene-gene interactions among the 18 loci... - Modelling epistatic effects of embryo and endosperm QTL on seed quality traitsYuehua Cui
Department of Statistics, University of Florida, Gainesville, FL 32611, USA
Genet Res 87:61-71. 2006..This model will have great implications for agricultural and evolutionary genetic research... - A multilocus likelihood approach to joint modeling of linkage, parental diplotype and gene order in a full-sib familyQing Lu
Department of Statistics, University of Florida, Gainesville, Florida 32611 USA
BMC Genet 5:20. 2004..Unlike a pedigree initiated with two inbred lines, a full-sib family derived from two outbred parents frequently has many different segregation types of markers whose linkage phases are not known prior to linkage analysis... - A statistical model for testing the pleiotropic control of phenotypic plasticity for a count traitChang Xing Ma
Department of Biostatistics, University at Buffalo, SUNY, Buffalo, NY 14214, USA
Genetics 179:627-36. 2008..This model will provide insights into how genomes and environments interact to determine the phenotypes of complex count traits... - Mapping genome-genome epistasis: a high-dimensional modelYuehua Cui
Department of Statistics, University of Florida, Gainesville, FL 32611, USA
Bioinformatics 21:2447-55. 2005..AVAILABILITY: A package of software will be provided from the corresponding author upon request... - Statistical model for characterizing epistatic control of triploid endosperm triggered by maternal and offspring QTLsYuehua Cui
Department of Statistics, University of Florida, Gainesville, FL 32611, USA
Genet Res 86:65-75. 2005..Also, the additive effect of the offspring QTLs is better estimated than the additive effect of the maternal QTLs. The implications of our model for agricultural and evolutionary genetic research are discussed... - Model for mapping imprinted quantitative trait loci in an inbred F2 designYuehua Cui
Department of Statistics, University of Florida, Gainesville, FL 32611, USA
Genomics 87:543-51. 2006..Our approach provides a standard procedure for testing the statistical significance of iQTL involved in the genetic control of complex traits... - Genetic mapping of developmental instability: design, model and algorithmJiasheng Wu
College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310029, People s Republic of China
Genetics 176:1187-96. 2007..A live example for poplar trees was used to map the QTL that control root length growth and its developmental instability from cuttings in water culture... - Functional mapping for genetic control of programmed cell deathYuehua Cui
Department of Statistics, University of Florida, Gainesville, Florida 32611, USA
Physiol Genomics 25:458-69. 2006..The statistical behavior of our model is investigated through simulation studies and validated by a real example in rice... - Mapping quantitative trait Loci interactions from the maternal and offspring genomesYuehua Cui
Department of Statistics, University of Florida, Gainesville, 32611, USA
Genetics 167:1017-26. 2004..Our model provides a powerful means for studying the evolutionary significance of indirect genetic effects in any sexually reproductive organisms...