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  1. National Center for Toxicological Research

Dong Wang Ph.D.

Dong Wang

Senior Staff Fellow — Division of Bioinformatics and Biostatistics

Dong Wang
Dong Wang, Ph.D.

(870) 543-7391
NCTRResearch@fda.hhs.gov  

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 About Publications 


Background

Dr. Dong Wang received his Ph.D. in Genetics from Iowa State University in 2003 and received his Ph.D. in Statistics in 2006 also from Iowa State University. He was a faculty member in the Department of Statistics, University of Nebraska-Lincoln from 2006 to 2014 with the rank of assistant professor and later associate professor. He worked for three years as the leader of Statistics and Mathematics Group at Dow AgroSciences between 2014 and 2016. He joined NCTR in December 2016 as a senior staff fellow in the Biostatistics Branch of Division of Bioinformatics and Biostatistics.


Research Interests

Dr. Dong Wang has interest in various aspects of statistics and bioinformatics. He has experience and interest in risk assessment, statistical genomics, reproducibility, high dimensional modeling, and Bayesian methods. Currently he is conducting research on measurement error models regarding biomarkers based on deep-sequencing technology and constructing Bayesian networks for drug-induced liver toxicity by integrating in vitro and in vivo data in addition to expert knowledge.


Professional Societies/National and International Groups

American Statistical Association
Member
2003 Present

Biopharmaceutical Regulatory-Industry Statistics Workshop
Member, Steering Committee
2017 Present

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Select Publications

Publication titles are linked to text abstracts on PubMed.

A Strategy for Evaluating Biomarkers Based on Emerging Technologies Using a Measurement Error Framework.disclaimer icon
Wang D.
Phuse Connect USA. 2018, Raleigh NC.

Characterization of Founder Viruses in Very Early SIV Rectal Transmission.
Yuan Z., Ma F., Demers A.J., Wang D., Xu J., Lewis M.G., and Li Q.
Virology. 2017, 24:97-105.

Arabidopsis MSH1 Mutation Alters the Epigenome and Produces Heritable Changes in Plant Growth.
Virdi K.S., Laurie J.D., Xu Y.Z., Yu J., Shao M.R., Sanchez R., Kundariya H., Wang D., Riethoven J.M., Wamboldt Y., Arrieta-Montiel M.P., Shedge V., and Mackenzie S.A.
Nature Communications. 2016, 6(6836).

The Effects of Nonnormality on the Analysis of Supersaturated Designs: A Comparison of Stepwise, SCAD and Permutation Test Methods.disclaimer icon
Koh W.Y., Eskridge K.M., and Wang D.
Journal of Statistical Computation and Simulation. 2013, 83:158-166.

Prediction of Genetic Values of Quantitative Traits with Epistatic Effects in Plant Breeding Populations.
Wang D., Salah El-Basyoni I., Stephen Baenziger P., Crossa J., Eskridge K.M., and Dweikat I.
Heredity. 2012, 109:313-319.  

Anticancer Peptidylarginine Deiminase (PAD) Inhibitors Regulate the Autophagy Flux and the Mammalian Target of Rapamycin Complex 1 Activity.
Wang Y., Li P., Wang S., Hu J., Chen X.A., Wu J., Fisher M., Oshaben K., Zhao N., Gu Y., Wang D., Chen G., and Wang Y.
Journal of Biological Chemistry. 2012, 287: 25941-25953. 

Identifying QTLs and Epistasis in Structured Plant Populations Using Adaptive Mixed LASSO.disclaimer icon
Wang D., Eskridge K.M., and Crossa J.
Journal of Agricultural, Biological, and Environmental Statistics. 2011, 16: 170-184.  

Development of an Internet Based System for Modeling Biotin Metabolism Using Bayesian Networks.
Zhou J., Wang D., Schlegel V., and Zempleni J.
Computer Methods and Programs in Biomedicine. 2011, 104:254-259.

Bayesian Mixture Structural Equation Modeling in Multiple-Trait QTL Mapping.
Mi X., Eskridge K., Wang D., Baenziger P.S., Campbell B.T., Gill K.S., and Dweikat I.
Genetics Research. 2010, 92: 239-250.

Structural Equation Modeling of Gene-Environment Interactions in CHD.
Mi X., Eskridge K., Varghese G., and Wang D.
Annals of Human Genetics. 2011, 75:255-265.   

Modeling Epigenetic Modifications Under Multiple Treatment Conditions.disclaimer icon
Wang D.
Computational Statistics and Data Analysis. 2010, 54: 1179-1189.   
 

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Contact Information
Dong Wang
(870) 543-7391
Expertise
Approach