| Meeting Location | Laurance S. Rockefeller Board Room | |
| Rockefeller Research Laboratories | ||
| 430 East 67th Street (between 1st Avenue & York Avenue) | ||
| New York, NY 10065 | ||
| For downloading a PDF version of the schedule, please click here. | ||
| Schedule | Content | Title |
| Thursday, August 11, 2016 | ||
| 7:45-8:15am | Continental Breakfast | |
| 8:15-8:30am | Introductory Remarks – Jaya Satagopan, PhD and Sanjay Shete, PhD | |
| Welcome – Sara Olson, PhD, Memorial Sloan Kettering Cancer Center | ||
| 8:30-10:00am | Session 1: Pharmacogenetic studies of complex disorders | |
| Chair: Jian Wang, PhD, MD Anderson Cancer Center | ||
| Richard Weinshilboum, MD | Pharmacogenomics of breast cancer endocrine therapy | |
| Mayo Clinic | ||
| Paul Chapman, MD | The history of RECIST: How did we get here? | |
| Memorial Sloan Kettering | ||
| Malcolm Pike, PhD | Modeling the hormonal chemoprevention of ovarian | |
| Memorial Sloan Kettering | cancer - Issues and opportunities | |
| 10:00-10:30am | Coffee Break | |
| 10:30-12:00pm | Session 2: Risk Prediction and Classification | |
| Chair: Phil Gona, PhD, University of Massachusetts Medical School | ||
| Giovanni Parmigiani, PhD | Cross-study analysis of prediction algorithms in genomics | |
| Harvard T.H. Chan | ||
| School of Public Health | ||
| Hyun Min Kang, PhD | On the explained versus predictable heritability of complex traits | |
| University of Michigan | ||
| Li-Xuan Qin, PhD | A cautionary note on using cross-validation for molecular | |
| Memorial Sloan Kettering | classification | |
| 12:00-12:30pm | Group Photo | |
| 12:30-2:00pm | Lunch and Posters | |
| 2:00-3:30pm | Session 3: Therapeutic targets (Methods) | |
| Chair: Karla Ballman, PhD, Weill Cornell Medicine | ||
| Melissa Rotunno, PhD | Identifying novel susceptibility variants cor complex cancers | |
| National Cancer Institute | using exome sequencing in families | |
| Alison Motsinger-Reif, PhD | Methods and applications for dose-response gene mapping | |
| North Carolina State University | ||
| Sibo Zhao, PhD candidate | Causal mediation analysis with unmeasured mediator-outcome | |
| New York University confounder | ||
| 3:30-4:00pm | Coffee Break | |
| 3:30-5:00pm | Session 4: Electronic records and software packages | |
| Chair: Huann-Sheng Chen, PhD, National Cancer Institute | ||
| Bhramar Mukherjee, PhD | Joint analysis of electronic health record data and GWAS data | |
| University of Michigan | in a health system population: The Michigan Genomics Initiative | |
| Jason Moore, PhD | Automating data science for cancer genomics | |
| University of Pennsylvania | ||
| 5:00pm | End of Day 1 | |
| Friday, August 12, 2016 | ||
| 7:45-8:30am | Continental Breakfast | |
| 8:30-10:00am | Session 5: Therapeutic targets (Applications) | |
| Chair: Marinela Capanu, PhD, Memorial Sloan Kettering Cancer Center | ||
| Nancy Cox, PhD | TBA | |
| Vanderbilt University | ||
| Peter Kraft, PhD | A multi-tissue transcriptome-wide association study identifies | |
| Harvard T. H. Chan | novel breast cancer susceptibility loci | |
| School of Public Health | ||
| Omar De la Cruz Cabrera, PhD | Characterization of cancer clonal heterogeneity via single cell | |
| Kent State University | analysis for treatment selection | |
| 10:00-10:30am | Coffee Break | |
| 10:30am-12:00pm | Session 6: Study Designs | |
| Chair: Mengling Liu, PhD, New York University | ||
| Christopher Amos, PhD | Interactions in smoking behavior - identifying targets and | |
| Dartmouth Geisel | designs for smoking cessation | |
| School of Medicine | ||
| Lorenzo Trippa, PhD | Bioinformatics tools for incorporating biological knowledge into | |
| Harvard T.H. Chan | genetic analysis | |
| School of Public Health | ||
| Donald Berry, PhD | Adaptive biomarker-driven platform clinical trials using | |
| MD Anderson Cancer Center | longitudinal models and time trend models of control therapy | |
| 12:00-1:30pm | Lunch and Posters | |
| 1:30-2:30pm | Session 7: Gene-treatment interactions | |
| Chair: Cody Chiuzan, PhD, Columbia University | ||
| Alexia Iasonos, PhD | Quantifying treatment benefit in molecular subgroups to assess a | |
| Memorial Sloan Kettering | predictive biomarker | |
| Tim Ahles, PhD | Cognitive effects of cancer treatments - Interactions of | |
| Memorial Sloan Kettering | chemotherapy, genetic factors, and smoking | |
| 2:30-3:00pm | Floor Discussion and Closing Remarks | |
| 3:00pm | Departure | |
| Symposium on Statistical and Computational Methods for Pharmacogenetic Epidemiology of Cancer Poster Session |
||
| Name | University/Affliation | Title of Abstract |
| Qin, Li-Xuan | Memorial Sloan Kettering Cancer Center | A Cautionary Note on using Cross-validation for Molecular Classification |
| Govindarajulu, Usha | SUNY Downstate School of Public Health | Evaluating Treatment Effect in Multicenter Trials with Small Centers Using |
| Survival Modeling | ||
| Zhao, Sibo | NYU School of Medicine | Causal Mediation Analysis with Unmeasured Mediator-Outcome Confounder |
| Huang, Yuan | Yale University | Promote Sign Consistency in the Joint Learning of Possibly Heterogeneous |
| Networks | ||
| Liu, Zhonghua | Harvard School of Public Health | A Semi-supervised Learning approach to functional annotations for coding and |
| noncoding variants | ||
| Urbanowicz, Ryan | University of Pennsylvania | Interpretable modeling of epistatic and heterogeneous associations in |
| epidemiology with rule-based machine learning | ||
| Smieszek, Sandra | Case Western Reserve University | Cancer genetic risk and the longevous phenotype in the AMISH |
| De la Cruz Cabrera, Omar | Kent State University | Characterization of cancer clonal heterogeneity via single cell analysis for |
| treatment selection | ||