Jianxin Shi, Ph.D.
Principal Investigator
Location: Executive Plaza South, Room 8040
Phone: 301-443-8222
Fax: 301-402-0081
E-mail: Jianxin.Shi@nih.gov
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Biography
Jianxin Shi received a BS in Mathematics and a BS in Economics from Beijing University in 1999. He then obtained an MS of Information Science from Beijing University in 2002. He received his Ph.D. of Statistics from Stanford University under the supervision of Dr. David Siegmund in 2006. Dr. Shi then spent two years as a postdoctoral research fellow and one year as Research Scientist in Health Research and Policy (HRP) and the Department of Psychiatric and Behavior Science at Stanford University, working on genome-wide association studies of breast cancer, Schizophrenia and recurrent depression. Dr. Shi joined the Biostatistics Branch of DCEG at NCI as a Tenure-Track Principal Investigator in August 2009.
Research Interests
- Boundary probability approximation of scan statistics of multiple dimensions
- Importance sampling and its application to genetic studies
- Copy number variants detection based on GWAS genotyping platforms
- Integrative analysis of GWAS, microarray expression, eQTL, mQTL, and Chip-Seq data, with applications to cancer genetics and psychiatric genetics
Software
Selected Publications
- Shi J, Li P. (In Press) An integrated segmentation Method for Detecting Germline Copy Number Variants in SNP Arrays. Genetic Epidemiology
- Flores R, Shi J, Gail MH, Gajer P, Ravel J, Goedert JJ. (In Press) Reproducibility of 16S rRNA pyrosequences for microbiome studies in feces sampled with two collection devices. European Journal of Clinical Investigation
- Shi J, Chatterjee N, et al. (2012) Inherited variation at chromosome 12p13.33 near RAD52 influences squamous cell lung carcinoma risk. Cancer Discovery 2:131-139
- Li M, He Y, Dubois W, Wu X, Shi J, Huang J. (In Press) Whole-genome study reveals distinct mechanisms used by p53 to regulate activated and repressed genes in embryonic stem cells. Molecular Cell
- Shyn SI, Shi J, et al. (2011) Novel loci for major depression identified by genome-wide association study of Sequenced Treatment Alternatives to Relieve Depression and meta-analysis of three studies. Molecular Psychiatry 16:202-15.
- Shi J, et al. (2011) Genome-wide association study of recurrent early-onset major depressive disorder. Molecular Psychiatry 16:193-201
- Shi J, et al. (2009) Common variants on chromosomes 6p22.1 are associated with Schizophrenia. Nature 460: 753-757
- Dupuis J, Shi J, Manning AK, Benjamin E.J, Meigs J, Cupples LA, Siegmund D. (2009) Mapping quantitative traits in unselected families: algorithms and examples. Genetic Epidemiology 33: 617-627
- Shi J, Levinson DF, Whittemore AS. (2008) Significance levels of correlated statistics. Biostatistics 9: 458-466
- Shi J, Siegmund D, Levinson DF. (2007) Statistical corrections of linkage data suggest predominantly cis regulations of gene expression BMC Proc 1:S145
- Shi J, Yakir B, Siegmund D. (2007) Importance sampling for estimating p-values in linkage analysis. J American Statistical Association 102: 929-937
- Feng J and Shi J. (2005) Gene selection based on a fast Fisher optimization method. J Natural Science of Beijing University 41:122-128
Collaborators
DCEG Collaborators
- Maria Teresa Landi, M.D., Ph.D.
- Christian Kratz, M.D.
- James J. Goedert, M.D.
CCR Collaborators
Other Scientific Collaborators
- Douglas Levinson, M.D., Alice Whittemore, Ph.D. David Siegmund, Ph.D., Stanford University
- Jubao Duan, Ph.D., Alan Sander, M.D., Pablo Gejmen, M.D., Northwestern University