faculty photo

Mingyao Li

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
Education:
B.S. (Mathematics)
Nankai University, China, 1996.
M.S. (Mathematics)
Nankai University, China, 1999.
M.S. (Biostatistics)
University of Michigan, 2002.
Ph.D. (Biostatistics)
University of Michigan, 2005.
Permanent link
 

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 (GCB) graduate program. Her main research area is statistical genetics, bioinformatics and computational biology. 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 admixed populations, RNA-sequencing data, 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 (GCAT) study section and a member of the review committee of the Center for Inherited Disease Research (CIDR) of the NIH.

Selected Publications

Zhang H, Xue C, Shah R, Bermingham K, Hinkle CC, Li W, Rodrigues A, Tabita-Martinez J, Millar J, Cuchel M, Pashos EE, Liu Y, Yan R, Yang W, Gosai SJ, VanDorn D, Chou ST, Gregory BD, Morrisey EE, Li M, Rader DJ, Reilly MP: Functional analysis and transcriptomic profiling of iPSC-derived macrophages and their application in modeling Mendelian disease. Circulation Research 2015 Notes: in press.

Hu M, Clark K, Gong X, Noudoost B, Li M, Moore T, Liang H : Copula regression analysis of simultaneously recorded frontal eye field and inferotemporal spiking activity during object-based working memory. Journal of Neuroscience 2015 Notes: in press.

Jia C., Hu Y., Liu Y., Li M.*: Mapping splicing quantitative trait loci using RNA-Seq. Cancer Informatics July 2014 Notes: Accepted. * Corresponding author; first author is Dr. Li's PhD student.

Chen H.Y., Rader D.J., Li M.: Likelihood inferences on semi-parametric odds ratio model. Journal of the American Statistical Association June 2014 Notes: accepted.

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(4001-4014), 2014.

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: e20, 2014 Notes: * Corresponding author, first author is Dr. Li's PhD student.

Liu Y., Ferguson J.F., Xue C., Ballantyne R.L., Silverman I.M., Gosai S.J., Serfecz J., Morley M.P., Gregory B.D., Li M.*, Reilly M.P.*: Tissue-specific RNA-Seq in human evoked inflammation identifies blood and adipose lincRNA signatures of cardiometabolic diseases. Arteriosclerosis Thrombosis Vascular Biology 2014 Notes: In press. * Co-senior authors.

Peloso G.M., Auer P.L., Bis J.C., Voorman A., Morrison A.C., Stitziel N.O., Brody J.A., Khetarpal S.A., Crosby J.R., Fornage M., Isaacs A., Jakobsdottir J., Feitosa M.F., Davies G., Huffman J.E., Manichaikul A., Davis B., Lohman K., Joon A.Y., Smith A.V., Grove M.L., Zanoni P., Redon V., Demissie S., Lawson K., Peters U., Carlson C., Jackson R.D., Ryckman K.K., Mackey R.H., Robinson J.G., Siscovick D.S., Schreiner P.J., Mychaleckyj J.C., Pankow J.S., Hofman A., Uitterlinden A.G., Harris T.B., Taylor K.D., Stafford J.M., Reynolds L.M., Marioni R.E., Dehghan A., Franco O.H., Patel A.P., Lu Y., Hindy G., Gottesman O., Bottinger E.P., Melander O., Orho-Melander M., Loos R.J., Duga S., Merlini P.A., Farrall M., Goel A., Asselta R., Girelli D., Martinelli N., Shah S.H., Kraus W.E., Li M., Rader D.J., Reilly M.P., McPherson R., Watkins H., Ardissino D.; NHLBI GO Exome Sequencing Project, Zhang Q., Wang J., Tsai M.Y., Taylor H.A., Correa A., Griswold M.E., Lange L.A., Starr J.M., Rudan I., Eiriksdottir G., Launer L.J., Ordovas J.M., Levy D., Chen Y.D., Reiner A.P., Hayward C., Polasek O., Deary I.J., Borecki I.B., Liu Y., Gudnason V., Wilson J.G., van Duijn C.M., Kooperberg C., Rich S.S., Psaty B.M., Rotter J.I., O'Donnell C.J., Rice K., Boerwinkle E., Kathiresan S., Cupples L.A.: Association of low-frequency and rare coding-sequence variants with blood lipids and coronary heart disease in 56,000 whites and blacks. American Journal of Human Genetics 94: 223-232, 2014.

Meyer N.J., Feng R., Li M., Zhao Y., Sheu C.C., Tejera P., Gallop R., Bellamy S., Rushefski M., Lanken P.N., Aplenc R., O'Keefe G.E., Wurfel M.M., Christiani D.C. and Christie J.D.: IL1RN Coding Variant Is Associated with Lower Risk of Acute Respiratory Distress Syndrome and Increased Plasma IL1RA. American Journal of Respiratory and Critical Care Medicine 187(9): 950-9, 2013.

Ferguson J.F., Matthews G.J., Townsend R.R., Raj D.S., Kanetsky P.A., Budoff M., Fischer M.J., Rosas S.E., Kanthety R., Rahman M., Master S.R., Qasim A., Li M., Mehta N.N., Shen H., Mitchell B.D., O'Connell J.R., Shuldiner A.R., Ho W.K., Young R., Rasheed A., Danesh J., He J., Kusek J.W., Ojo A.O., Flack J., Go A.S., Gadegbeku C.A., Wright J.T., Saleheen D., Feldman H.I., Rader D.J., Foulkes A.S., Reilly M.P.: Candidate gene association study of coronary artery calcification in chronic kidney disease: findings from the chronic renal insufficiency cohort study. Journal of American College of Cardiology 62: 789-798, 2013.

back to top
Last updated: 04/28/2015
The Trustees of the University of Pennsylvania