Statistical Genetics Lab

Statistical genetics involves the development of novel statistical models and innovative methods for the analysis and interpretation of genetic data. Intrigued by Mendel’s laws which were fundamentally probabilistic, R.A. Fisher initiated the fundamental work using statistics to solve genetic problems. With advanced molecular technologies and instruments, high throughput genetic/genomic data can now be generated from any organisms almost with no limits, which bring new opportunities as well as great challenges. The rapidly emerging field of statistical genetics promises to lead to advances in the diagnosis, treatment, and prevention of many genetic disorders from a purely lab-based science to an information-based science. As statisticians, we are playing pivotal roles in this unique field with intriguing prospect, yet facing numerous challenges.

My training in both biology and statistics lays me a solid foundation to conduct cutting-edge interdisciplinary research covering a variety of fields (e.g. Statistics, Genetics and Genomics) across a spectrum of species including humans, animals and plants. I strongly believe that the unique interdisciplinary research environment can greatly foster the cross fertilization of new ideas which in turn can enhance our learning and understanding, and ultimately help us unravel the mystery of the biological world.

 

My overall research interest is to develop novel statistical methods and efficient computational tools with an optimal goal of solving real-world biological problems covering genetics, development, physiology, evolution and biomedicine. At present, my specific research is focused on, but is not limited to, the following areas

      Genetic association studies, nucleotide mapping complex traits/diseases, Genome-wide association studies, SNP and haplotype inference;

      QTL mapping, Genetical genomics including eQTL mapping and gene network inference;

      Functional genomics, Systems biology, Gene set enrichment analysis and Pathway analysis;

      Next-generation sequencing data analysis and integrated “omics” data analysis;

      Applied functional and longitudinal data analysis

Publications in peer reviewed journals click here

Research grants (we are very grateful for funding from the following resources)

                                              

Current members

Visiting scholars

Yuzhao Gao, 2018-2019, visiting scholar, Shanxi Medical University

Xiangquan Wu

Xiangqian Wu, 2017-2019, visiting scholar, Harbin University of Science and Technology

Alumni

PhD Students

Jingyi Zhang

Jingyi Zhang --- PhD in Statistics (2017)

Now Statistician, Wells Fargo, Charlotte

Shunjie Guan

Shunjie Guan --- PhD in Statistics (2017)

Now Statistician, AbbVie, Chicago

Tao He --- dual Ph.D. in Statistics and Quantitative Biology (2015) (co-advised with Dr. Ping-Shou Zhong); Research supported in part by NSF awards MCB-1121650 and DMS-1209112)

Thesis: “Kernel-based Nonparametric Testing in High-dimensional Data with Applications to Gene Set Analysis”.

Now Assistant Professor, Department of Mathematics, San Francisco State University

Honglang Wang --- dual Ph.D. in Statistics and Quantitative Biology (2015) (co-advised with Dr. Ping-Shou Zhong); Research supported in part by NSF awards DMS-1209112 and IOS-1237969.

Thesis: “Empirical likelihood based functional data analysis and high dimensional inference with applications in biology”.

Now Assistant Professor, Department of Mathematical Sciences, IUPUI

Description: Description: Bin Gao

Bin Gao ---PhD in Statistics (2015)

(Research supported in part by NSF award DMS-1209112)

Thesis: “Graph estimation and network constrained regularization with application in genetical genomics”

Now senior statistician, Johnson & Johnson

Cen Wu --- dual Ph.D. in Statistics and Quantitative Biology (2013) (Research supported in part by NSF awards DMS-0707031, DMS-1209112, MSU Summer Support Fellowship, and an NIH award)

Thesis: “High-dimensional statistical methods for gene-environment interactions”

Now Assistant Professor, Department of Statistics, Kansas State University

Shaoyu Li ---  dual Ph.D. in Statistics and Quantitative Biology (2011)  (Research supported in part by NSF award DMS-0707031, an MSU Summer Support Fellowship and an MSU QBI Fellowship).

Thesis: “Statistical issues and novel strategies for eQTL mapping”

Now Assistant Professor, Department of Mathematics and Statistics, UNC Charlotte

Gengxin Li --- dual Ph.D. in Statistics and Quantitative Biology (2010)  (Research supported in part by NSF award DMS-0707031, and MSU QBI Fellowship).

Thesis: “Variance component models in mapping imprinted genes: statistical theory and applications”.

Now Associate Professor, Department of Mathematics and Statistics,  Wright State University

Postdoc

Haitao Yang

Haitao Yang (2016-2017) Research supported by NSF award IOS-1237969.

Ph.D. in Biostatistics, Shanxi Medical University

Now Associate Professor, School of Public Health, Hebei Medical University, China

Xu Liu

Xu Liu --- Postdoctoral fellow (2013-2016);

Now Assistant Professor, School of Statistics, Shanghai University of Finance and Economics, China

Guolian Kang --- Postdoctoral fellow (2007)

Now Associate Member, Department of Biostatistics, St. Jude Children’s Research Hospital

 

Master Students

Yimin Wu --- MS student, now DTE energy.

Ran Cao --- MS student, Now statistician at i360.

 

Chenyang Gu --- M.S. (2012), now PhD student in the Dept of Biostatistics at Brown University

Wenzhao Yang --- M.S. (2008)

Guanghui Liu --- M.S. (2007), now Biostatistician, Mayo Clinic

 

Undergraduate student

Joseph Xiao --- 1/2016-5/2016, An exchange student from Nankai University

propic (002)

Yuchen Guo --- 2015-2016 , Department of Statistics & Probability, MSU

Visiting Scholars

Junli Yang, 2017-2018, visiting scholar, Shanxi Medical University

Yong Xu

Yong Xu, 2016-2017, visiting scholar, Anhui University of Finance and Economics

Yi Ling

Yi Liang, 2016-2017, visiting scholar, China Agricultural University

Manlin Yin

Manlin Yin, 2016-2017, visiting master student, Central University of Finance and Economics

Hongyan Cao

Hongyan Cao, 2015-2016, visiting scholar, School of Public Health, Shanxi Medical University

Haitao Yang

Haitao Yang, 2015-2016, visiting scholar, School of Public Health, Shanxi Medical University

Tiane Luo

Tiane Luo, 2014 - 2015, visiting scholar, School of Public Health, Shanxi Medical University

Guomiao Zhao

Guomiao Zhao, 2014 - 2014, visiting master student, Zhejiang A&F University

Jian Sa, 2013 - 2014, visiting scholar, School of Public Health, Shanxi Medical University

Xiaoyan Jia,  2013 - 2014, visiting scholar, School of Economics, Zhengzhou University

Group meeting 

Our group meets every week on Friday afternoon from 3:30 to 4:30 to discuss new development in statistical genetics/bioinformatics and progress on individual projects.

I am also affiliated with the following MSU interdisciplinary research programs:

        Genetic Program

        Quantitative Biology (QB) Program

        Center for System Biology

        Ecology, Evolutionary Biology, and Behavior (EEBB) Program