Graduate Group in Genomics and Computational Biology

Mingyao Li, Ph.D.

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Associate Professor of Biostatistics in Biostatistics and Epidemiology
Department: Biostatistics and Epidemiology

Contact information
University of Pennsylvania School of Medicine
Department of Biostatistics and Epidemiology
213 Blockley Hall, 423 Guardian Drive
Philadelphia, PA 19104
Office: 215-746-3916
Fax: 215-573-4865
B.S. (Mathematics)
Nankai University, China, 1996.
M.S. (Mathematics)
Nankai University, China, 1999.
M.S. (Biostatistics)
University of Michigan, Ann Arbor, 2002.
Ph.D. (Biostatistics)
University of Michigan, Ann Arbor, 2005.
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Description of Research Expertise

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. In particular, she is interested in developing statistical methods and computational tools for identifying and characterizing genetic variants that influence susceptibility to complex diseases. Her current research work involves the analysis of high-throughput genetics/genomics data such as those generated from next-generation sequencing studies. She is particularly interested in the analysis of RNA sequencing data including single-cell RNA sequencing, and genetics of gene expression. 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 studies of the genetics of cardiometabolic diseases and eye diseases. Dr. Li actively serves in the scientific community. She is an Associate Editor of Statistics in Biosciences, and is 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.

Selected Publications

Wang X., Xiao R., Zhu X., Li M.: Gene mapping in admixed families: a cautionary note on the interpretation of the transmission disequilibrium test and a possible solution. Human Heredity 2016, In press.

Fu J., Hou C., Li L., Feng D., Li G., Li M., Li C., Gao S., Li M.: Vitamin D modifies the associations between circulating betatrophin and cardiometabolic risk factors among youths at risk for metabolic syndrome. Cardiovascular Diabetology 15(1): 142, Oct 2016.

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.

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.

Hu M., Li M., Li W., Liang H.: Joint analysis of spikes and local field potentials using copula. Neuroimage 133: 457-67, Jun 2016.

Hu M., Li M., Li W., Liang H.: Data on copula modeling of mixed discrete and continuous neural time series. Data Briefings 7: 1364-9, Jun 2016.

Hughes A.E., Bridgett S., Meng W., Li M., Curcio C.A., Stambolian D., Bradley D.T.: Sequence and expression of Complement Factor H gene cluster variants and their roles in age-related macular degeneration risk. Investigative Ophthalmology and Vision Science 57(6): 2763-9, May 2016.

Murillo G.H., You N., Su X., Cui W., Reilly M.P., Li M., Ning K., Cui X.: MultiGeMS: detection of SNVs from multiple samples using model selection on high-throughput sequencing data. Bioinformatics 32(10): 1486-92, May 2016.

Li L., Yin J., Cheng H., Wang Y., Gao S., Li M., Grant S.F., Li C., Mi J., Li M.: Identification of genetic and environmental factors predicting metabolically healthy obesity in children: data from the BCAMS study. Journal of Clinical Endocrinology and Metabolism 101(4): 1816-25, Apr 2016.

Ferguson J.F., Xue C., Hu Y., Li M., Reilly M.P.: Adipose tissue RNASeq reveals novel gene-nutrient interactions following n-3 PUFA supplementation and evoked inflammation in humans. Journal of Nutritional Biochemistry 30: 126-32, Apr 2016.

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Last updated: 12/03/2016
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