2e 2 5d 16
19
1b
2f

Mingyao Li, Ph.D.

76 faculty photo 61
Professor of Biostatistics in Biostatistics and Epidemiology
28
b1
Senior Scholar, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine
9e
Director of Biostatistics, University of Pennsylvania Perelman School of Medicine, Gene Therapy Program
b0
Director, Statistical Center for Single-Cell and Spatial Genomics, University of Pennsylvania Perelman School of Medicine
11
3 75
Department: Biostatistics and Epidemiology
4 1 23 b
1d
46 Contact information
5b
University of Pennsylvania School of Medicine
34 Department of Biostatistics and Epidemiology
48 213 Blockley Hall, 423 Guardian Drive
Philadelphia, PA 19104
26
2e Office: 215-746-3916
32 Fax: 215-573-4865
24
9d 12
4 3 3 1d
18 Publications
23 a
3 2 29 4 b 1f
13 Education:
21 9 B.S. 18 (Mathematics) c
31 Nankai University, China, 1996.
21 9 M.S. 18 (Mathematics) c
31 Nankai University, China, 1999.
21 9 M.S. 1a (Biostatistics) c
3a University of Michigan, Ann Arbor, 2002.
21 a Ph.D. 1a (Biostatistics) c
3a University of Michigan, Ann Arbor, 2005.
c
3 3 3 3 8d Permanent link
2 29
 
1d
25
21
b6 > Perelman School of Medicine   > Faculty   > Details a
1e 1d
5e

Description of Research Expertise

550 Dr. Mingyao Li joined the Biostatistics faculty in 2006. She is also a faculty member of the Genomics and Computational Biology graduate program. Her main research area is statistical genetics and genomics. The central theme of her current research is to use statistical and machine learning approaches to understand cellular heterogeneity in human disease relevant tissues, to characterize gene expression diversity across cell types, and to study the patterns of cell state transition and crosstalk of various cells using data generated from single-cell transcriptomics studies. In addition to methods development, Dr. Li is also interested in collaborating with researchers seeking to identify complex disease susceptibility genes. Her collaborative research includes cardiometabolic diseases, age-related macular degeneration, Alzheimer's disease, chronic kidney disease, type 1 diabetes, and cancer. Findings from her research will seed cell-specific functional studies, in vivo modeling, and precision therapeutic targeting of human diseases. Dr. Li actively serves in the scientific community. She is an Associate Editor of Statistics in Biosciences, and was a regular member of the Genomics, Computational Biology and Technology study section and a member of the review committee of the Center for Inherited Disease Research of the NIH.
26 29
23

Selected Publications

182 Ballantyne R.L., Zhang X., Nunez S., Xue C., Zhao W., Reed E., Salaheen D., Foulkes A.S., Li M.*, Reilly M.P.*: Genome-wide interrogation reveals hundreds of long intergenic noncoding RNAs that associate with cardiometabolic traits. Human Molecular Genetics 25(14): 3125-3141, Jul 2016 Notes: * Co-senior authors.

1ae Lin J., Hu Y., Nunez S., Foulkes A.S., Cieply B., Xue C., Gerelus M., Li W., Zhang H., Rader D.J., Musunuru K., Li M.*, Reilly M.P.*: Transcriptome-wide analysis reveals modulation of human macrophage inflammatory phenotype through alternative splicing. Arteriosclerosis, Thrombosis, and Vascular Biology 36(7): 1434-47, Jul 2016 Notes: * Co-senior authors.

132 Jia C., Guan W., Yang A., Xiao R., Tang W.H., Moravec C.S., Margulies K.B., Cappola T.P., Li C., Li M.: MetaDiff: differential isoform expression analysis using random-effects meta-regression. BMC Bioinformatics 16(1): 208, Jul 2015.

13e Hu Y., Liu Y., Mao X., Jia C., Ferguson J.F., Xue C., Reilly M.P., Li H., Li M.: PennSeq: accurate isoform-specific gene expression quantification in RNA-Seq by modeling non-uniform read distribution. Nucleic Acids Research 42(3): e20, Feb 2014.

190 Li M., Jia C., Kazmierkiewicz K.L., Bowman A.S., Tian L., Liu Y., Gupta N.A., Gudsieva H.V., Yee S.S., Kim M., Dentchev T., Kimble J.A., Parker J.S., Messinger J.D., Curcio C.A., Stambolian D.: Comprehensive analysis of gene expression in human retina and supporting tissues. Human Molecular Genetics 23(15): 4001-14, Aug 2014.

65 Reilly M.*, Li M.*, He J., Ferguson J.F., Stylianou I.M., 8d Mehta N.N., Burnett M.S., Devaney J.M., Knouff C.W., Thompson J.R., Horne, B.D., Stewart A.F., Assimes T.L., Wild P.S., Allayee H., Linsel- 261 Nitschke P., Patel R.S., Myocardial Infarction Genetics Consortium, Wellcome Trust Case Control Consortium, Martinelli N., Girelli D., Quyyumi A.A., Anderson J.L., Erdmann J., Hall A.S., Schunkert H., Quertermous T., Blankenberg S., Hazen S.L., Roberts R., Kathiresan S, Samani N.J., Epstein S.E., Rader D.J.: Identification of ADAMTS7 as a novel locus for coronary atherosclerosis and association of ABO with myocardial infarction in the presence of coronary atherosclerosis: two genome-wide association studies. The Lancet 377(9763): 383-92, Jan 2011 Notes: *Co-first authors.

101 Wang X., Zhu X., Qin H., Cooper R., Ewens W., Li C., Li M.: Adjustment for local ancestry in genetic association analysis of admixed populations. Bioinformatics 27(5): 670-7, Mar 2011.

10a Wang K., Chen Z., Tadesse M.G., Glessner J., Grant S.F.A., Hakonarson H., Bucan M., Li M.: Modeling genetic inheritance of copy number variations. Nucleic Acids Research 36(21): e138, Dec 2008.

157 Wang K., Li M., Hadley D., Liu R., Glessner J., Grant S.F.A., Hakonarson H., Bucan M.: PennCNV: an integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data. Genome Research 17(11): 1665-74, Nov 2007.

168 Li M., Atmaca-Sonmez P., Othman M., Branham K.E.H., Wade M.S., Li Y., Liang L., Zareparsi S., Swaroop A., Abecasis G.R.: CFH haplotypes without Y402H coding variant show strong association with susceptibility to age-related macular degeneration. Nature Genetics 38(9): 1049-54, Sep 2006.

2c
7 1d
2c back to top
26 Last updated: 03/07/2024
34 The Trustees of the University of Pennsylvania c
1f
27
24
 
1d
18
1 49 2 2 18