Qing Lu, PhD

Associate Professor of Epidemiology and Biostatistics
Division of Biostatistics

Ph.D., 2008 Case Western Reserve University

Department of Epidemiology and Biostatistics
Michigan State University
909 Wilson Road  Room 601
East Lansing, Michigan 48824
Website: https://www.msu.edu/~qlu

Research Interests

Qing Lu is an Associate Professor in the Department of Epidemiology and Biostatistics at Michigan State University. His research interest is primarily in statistical genetics. One area of research is the development and application of new statistical methods for association analysis of genome-wide data and next generation sequencing data (e.g., using U-statistics for high-dimensional gene-gene/gene-environment interaction analyses). In parallel with this line of research, his group also develops statistical methods and software for designing and evaluating population-based and family-based risk prediction models.

Statistical Genetics

Dr.Lu's research is within the field of statistical genetics, with a strong interest in developing and applying statistical methods for analyzing large-scale human genetic data.

Selected Publications

Lu Q, Elston RC. Using the optimal receiver operating characteristic (ROC) curve to design a predictive genetic test exemplified with Type 2 Diabetes. Am J Hum Genet. 2008; 82(3):641-51. PMID: 18319073

Lu Q, Obuchowski N, Won S, Zhu X, Elston RC. Using the robust optimal receiver operating characteristic curve for predictive genetic tests. Biometrics. 2010; 66(2):586-93. PMID: 19508241

Lu Q, Cui YH, Ye C, Wei C and Elston RC. A bagging optimal roc curve method for predictive genetic tests with an application to rheumatoid arthritis. Journal of Biopharmaceutical Statistics 2010; 20(2):401-14. PMID: 20309765

Ye C, Zhu J, Lu Q. A Clustered Optimal ROC Curve Method for Family-based Genetic Risk Prediction. Statistics and its interface 2011; 4(3):373-380

Ye C, Cui Y, Wei C, Elston RC, Zhu J, Lu Q. A non-parametric method for building predictive genetic tests on high-dimensional data. Hum Hered. 2011; 71(3):161-70. PMID: 21778735
Li M, Ye C, Fu W, Elston RC, Lu Q Detecting the Joint Action of Genes for Quantitative Traits with U-Statistics. Genetic Epidemiology 2011; 35(6):457-68. PMID: 21618602

Lu Q, Wei C, Ye C, Li M, Elston RC. A Likelihood Ratio based Mann-Whitney Approach Finds Novel Replicable Joint Gene Action for Type 2 Diabetes. Genetic Epidemiology 2012; 36(6):583-93. PMID: 22760990

Wei C, Schaid DJ, Lu Q Trees Assembling Mann-Whitney Approach for Detecting Genome-wide Joint Association among Low-Marginal-Effect loci. Genet Epidemiol. 2013 Jan;37(1):84-91. PMID: 23135745