Dr. Zhu joined the faculty of RPCI in 2012 as Assistant Professor of Oncology at the Department of Biostatistics and Bioinformatics. She has an interdisciplinary training in biostatistics, bioinformatics, and human genetics, and has accumulated extensive collaboration experience with biologists and clinicians in genetic epidemiology studies utilizing approaches of Genome-Wide Association Studies (GWAS) and next-generation sequencing (NGS). Dr. Zhu completed her postdoctoral training in statistical genetics at Center for Human Genetic Variation at Duke University from 2010 to 2012. Prior to that, she received her PhD in Bioinformatics and MA in Biostatistics from SUNY at Buffalo (UB).
My primary research interest is in developing statistically sound and computationally efficient methods to pinpoint the causal genetic variants of human diseases and traits utilizing high-throughput genetics and genomics data. My areas of research include 1) computational method development for causal genetic variant identification, 2) statistical and bioinformatics analysis of genome, epigenome, and transcriptome data, and 3) pharmacogenomics, genetic testing, and personalized medicine.
Zhu Q, Hu Q, Shepherd L, Wang J, Wei L, Morrison CD, Conroy JM, Glenn ST, Davis W, Kwan ML, Ergas IJ, Roh JM, Kushi LH, Ambrosone CB, Liu S, Yao S. The Impact of DNA Input Amount and DNA source on the Performance of Whole-Exome Sequencing in Cancer Epidemiology. Cancer Epidemiology, Biomarkers & Prevention 2015; 24(8):1207-1213.
Liu Q, Cirulli ET, Han Y, Yao S, Liu S, Zhu Q. Systematic assessment of imputation performance using the 1000 Genomes reference panels. Briefings in Bioinformatics 2015; 16(4):549-562.
Long N, Dickson SP, Maia JM, Kim HS, Zhu Q, Allen AS. Leveraging prior information to detect causal variants via multi-variant regression. PLoS Computational Biology 2013; 9(6):e1003093.
Zhu Q, Ge D, Heinzen EL, Dickson SP, Urban TJ, Zhu M, Maia JM, He M, Zhao Q, Shianna KV, Goldstein DB. Prioritizing genetic variants for causality based on preferential linkage disequilibrium. American Journal of Human Genetics 2013; 91(3):422-434.
Zhu M, Need AC, Han Y, Ge D, Maia JM, Zhu Q, Heinzen EL, Cirulli ET, Pelak K, He M, Ruzzo EK, Gumbs C, Singh A, Feng S, Shianna KV, Goldstein DB. Using ERDS to infer copy-number variants in high-coverage genomes. American Journal of Human Genetics 2012; 91(3):408-421.
Zhu Q, Ge D, Maia JM, Zhu M, Petrovski S, Dickson SP, Heinzen EL, Shianna KV, Goldstein DB. A genome-wide comparison of the functional properties of rare and common genetic variants in humans. American Journal of Human Genetics 2011; 88(4):458-468.
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