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Children's Nutrition Research Center - Faculty

Houston, Texas

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Children's Nutrition Research Center - Faculty
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Yongtao Guan, Ph.D.

Yongtao Guan, Ph.D.Assistant Professor of Pediatrics, Baylor College of Medicine

Other Positions

Assistant Professor, Department of Molecular and Human Genetics

Phone: 713-798-0362
Fax: 713-798-7098
E-mail: yongtaog@bcm.edu

Statistical Genetics Lab website

Education

Ph.D, University of Idaho, 2006
Postdoc, University of Chicago, 2010

Research Interests

Dr. Guan is a statistical geneticist with research interests in statistical methods of disease mapping. He developed and maintains the software package, BIMBAM (Bayesian IMputation Based Association Mapping). He has developed a method for multi-SNP association mapping via Bayesian Variable Selection (see information to the right). He has also proposed to model epistatic interaction via directed acyclic graphs (DAG).

As a mathematician turned statistician, Dr. Guan maintains research interests in theory and algorithm development of Markov chain Monte Carlo, a stochastic scheme for computation and simulation. He developed a novel sampling scheme that is a combination of tempering, passing information via empirical distribution, and the small world sampling. He is working to extend the convergence theory of the new sampling algorithm to complex structures such as graphs and trees - the cornerstones of modern genetics.

Dr. Guan is also interested in the mathematical and statistical modeling of processes that arise from genetics and genomics, for example, genetic variation, recombination, and gene networks. He is constantly seeking collaborations with research groups that produce interesting data sets.

Recent Projects

  • Statistical models that approximate coalescent process
  • Detect epistatic interactions using directed acyclic graphs
  • Bayesian Markov chain Monte Carlo sampling phylogenetic trees and directed acyclic graphs

If you are a graduate student with interests in statistical genetics, contact Dr. Guan to discuss potential projects.

As a mathematician turned statistician, Dr. Guan maintains research interests in theory and algorithm development of Markov chain Monte Carlo, a stochastic scheme for computation and simulation. He developed a novel sampling scheme that is a combination of tempering, passing information via empirical distribution, and the small world sampling. He is working to extend the convergence theory of the new sampling algorithm to complex structures such as graphs and trees - the cornerstones of modern genetics.

Dr. Guan is also interested in the mathematical and statistical modeling of processes that arise from genetics and genomics, for example, genetic variation, recombination, and gene networks. He is constantly seeking collaborations with research groups that produce interesting data sets.

Selected Publications

  1. Yongtao Guan and Matthew Stephens (2010), Small World MCMC With Tempering: Ergodicity, Spectral Gap and Applications. Submitted.
  2. Yongtao Guan and Matthew Stephens (2009), Bayesian Variable Selection Regression for Genome-wide Association Studies, and other Large-Scale Problems. Submitted.
  3. Yongtao Guan and Matthew Stephens (2008), Practical Issues in Imputation Based Association Mapping. PLoS Genetics, 4(12): e1000279. doi:10.1371/journal.pgen.1000279.
  4. Reiner AP, Barber MJ, Guan Y, Ridker PM, Lange LA, Chasman DI, Walston JD, Cooper GM, Jenny NS, Rieder MJ, Durda JP, Smith JD, Novembre J, Tracy RP, Rotter JI, Stephens M, Nickerson DA, Krauss RM. (2008) Polymorphisms of the HNF1A Gene Encoding Hepatocyte Nuclear Factor-1alpha are Associated with C-Reactive Protein. American Journal of Human Genetics 82:1193--1201.
  5. Yongtao Guan and Steve Krone (2007), Small-world MCMC and Convergence to Multi-modal Distributions: From Slow Mixing to Fast Mixing. Annals of Applied Probability, 17, 284--304.
  6. Yongtao Guan, Roland Fleissner, Paul Joyce and Steve Krone (2006), Markov Chain Monte Carlo in Small Worlds. Journal of Statistics and Computing, 16, 193--202.
  7. Steve Krone and Yongtao Guan (2006), Spatial Self-Organization in a Cyclic Resource-Species Model. Journal of Theoretical Biology, 241, 14--25.
  8. Yongtao Guan (2006), Algorithms and Monte Carlo Methods in Computational Biology. Ph.D. Thesis, Department of Mathematics, University of Idaho.
  9. Yongtao Guan and Steve Krone (2004), WinSSS: Stochastic Spatial Simulator. Bulletin of Ecological Society of America 85, Number 3, 102-104.
  10. Yongtao Guan (2002), Modeling and computational advances regarding the predictions of tree growth responses to environmental stress. Master Thesis, Department of Applied Mathematics, University of Minnesota, Duluth.

Contact Information

Yongtao Guan, Ph.D.
Departments of Pediatrics and Molecular and Human Genetics
Baylor College of Medicine
One Baylor Plaza
USDA Children's Nutrition Research Center
1100 Bates St., Ste. 2070
Houston, TX, 77030, U.S.A.

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