Yongtao Guan, Ph.D.
Assistant Professor of Molecular and Human Genetics
Ph.D., University of Idaho, 2006
Postdoc, University of Chicago, 2010
Dr. Guan is a statistical geneticist with research interests in developing statistical models and software packages to analyze genetic data. He developed and maintains the software packages BIMBAM, for imputation based association mapping, and piMASS, for multi-SNP association mapping via Bayesian model averaging and subset selection. After arriving at BCM, he developed a statistical model and a software package, coreLD, that can infer local ancestry with high accuracy for admixed individuals such as African Americans and Hispanics in Americas. The software can also perform haplotype-phenotype association without phasing and pre-specifying haplotype length. 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 small world sampling. He is working to apply the new sampling algorithm to complex structures such as graphs and trees - the cornerstones of modern genetics.
Dr. Guan and his lab are in charge of bioinformatics of next-generation sequencing of a newly established sequencing core facility at CNRC. In addition to maintaining a data processing pipeline, he is interested in developing new methods for variant calling and de novo assembly of short reads.
- Yongtao Guan (2011). Approximating The Coalescence With Recombination To Model Linkage Disequilibrium And Some Applications, submitted.
- Yongtao Guan and Matthew Stephens (2011). Bayesian Variable Selection Regression for Genome-wide Association Studies, and other Large-Scale Problems. Annals of Applied Statistics, in press.
- Yongtao Guan and Matthew Stephens (2010). Small World MCMC with Tempering: Ergodicity, Spectral Gap and Applications. Under review.
- Guan Y, Stephens M (2008). Practical Issues in Imputation Based Association Mapping. PLoS Genet. 4(12): e1000279. PubMed PMID: 19057666
- 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.
- 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.
- Krone SM, Guan Y (2006). Spatial self-organization in a cyclic resource-species model. J. Theor. Biol. 241(1): 14-25. PubMed PMID: 16360180
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.
Statistical Genetics Laboratory