Christine B. Peterson, PhD
Department of Biostatistics, Division of VP, Research
About Dr. Peterson
Selected publications are listed below; for a full list, please see Google scholar profile. For more information, including links to papers and software, please see Dr. Peterson's website.
Present Title & Affiliation
Primary Appointment
Associate Professor, Department of Biostatistics, Division of Basic Science Research, The University of Texas MD Anderson Cancer Center, Houston, TX
Dual/Joint/Adjunct Appointment
Regular Member, The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX
Adjunct Associate Professor, Department of Statistics, Rice University, Houston, TX
Education & Training
Degree-Granting Education
| 2013 | Rice University, Houston, TX, USA, PHD, Statistics |
| 2005 | Harvard University, Cambridge, MA, USA, AB, Applied mathematics |
Postgraduate Training
| 2014-2016 | Postdoctoral Scholar, Stanford University, Stanford, CA |
Experience & Service
Academic Appointments
Assistant Professor, Department of Biostatistics, Division of Basic Science Research, The University of Texas MD Anderson Cancer Center, Houston, TX, 2016 - 2022
Selected Publications
Peer-Reviewed Articles
- Osborne N, Peterson CB, Vannucci M. Latent network estimation and variable selection for compositional data via variational EM. Journal of Computational and Graphical Statistics 31(1):163-175, 2022.
- Spencer CN, McQuade JL, Gopalakrishnan V, McCulloch JA, Vetizou M, Cogdill AP, Khan MA, Zhang X, White MG, Peterson CB, Wong MC, et al. Dietary fiber and probiotics influence the gut microbiome and melanoma immunotherapy response. Science 374(6575):1632-1640, 2021.
- Zhang L, Shi Y, Do KA, Peterson CB, Jenq RR. ProgPerm: Progressive permutation for a dynamic representation of the robustness of microbiome discoveries. BMC Bioinformatics 22(1):126, 2021. e-Pub 2021. PMID: 33731016.
- Zhang L, Shi Y, Jenq RR, Do K, Peterson CB. Bayesian compositional regression with structured priors for microbiome feature selection. Biometrics 77(3):824-838, 2021.
- Bogomolov M*, Peterson CB*, Benjamini Y, Sabatti C. Hypotheses on a tree: new error rates and testing strategies. Biometrika 108(3):575-590, 2021.
- Shaddox E, Peterson CB, Stingo FC, Hanania NA, Cruickshank-Quinn C, Kechris K, Bowler R, Vannucci M. Bayesian inference of networks across multiple sample groups and data types. Biostatistics 21(3):561-576, 2020. PMID: 30590505.
- Robinson S, Peterson CB, Sahasrabhojane P, Ajami NJ, Shelburne SA, Kontoyiannis DP, Galloway-Pena JR. Observational cohort study of oral mycobiome and interkingdom interactions over the course of induction therapy for leukemia. mSphere 5(2):e00048-20, 2020.
- Das P, Peterson CB, Do KA, Akbani R, Baladandayuthapani V. NExUS: Bayesian simultaneous network estimation across unequal sample sizes. Bioinformatics 36(3):798-804, 2020. PMID: 31504175.
- Galloway-Peña JR, Shi Y, Peterson CB, Sahasrabhojane PV, Gopalakrishnan V, Brumlow CE, et al.. Gut microbiome signatures are predictive of infectious risk following induction therapy for acute myeloid leukemia. Clinical Infectious Diseases 71(1):63-71, 2020.
- Peterson CB, Osborne N, Stingo FC, Bourgeat P, Doecke JD, Vannucci M. Bayesian modeling of multiple structural connectivity networks during the progression of Alzheimer's disease. Biometrics 76(4):1120-1132, 2020. PMID: 32026459.
- Shi Y, Zhang L, Do KA, Peterson CB, Jenq R. aPCoA: covariate adjusted principal coordinates analysis. Bioinformatics 36(13):4099-4101, 2020. PMID: 32339223.
- Glenn MC, Peterson CB, Howell RM, Followill DS, Pollard-Larkin JM, Kry SF. Sensitivity of IROC phantom performance to radiotherapy treatment planning system beam modeling parameters based on community‐driven data. Medical Physics 47(10):5250-5259, 2020.
- Galloway-Pena JR, Peterson CB, Malik F, Sahasrabhojane PV, Shah DP, Brumlow CE, et al.. Fecal microbiome, metabolites, and stem cell transplant outcomes: a single-center pilot study. Open Forum Infectious Diseases, 2019.
- Kim J, Do KA, Ha MJ, Peterson CB. Bayesian inference of hub nodes across multiple networks. Biometrics 75(1):172-182, 2019. PMID: 30051914.
- Cremaschi A, Argiento R, Shoemaker K, Peterson CB, Vannucci, M. Hierarchical normalized completely random measures for robust graphical modeling. Bayesian Analysis, 2019.
- Kry S, Glenn M, Peterson CB, Branco D, Mehrens H, Steinmann A, Followill D. Independent recalculation outperforms traditional measurement-based IMRT QA methods in detecting unacceptable plans. Medical Physics 46(8):3700-3708, 2019.
- Riquelme E, Zhang Y, Zhang L, Maria M, Michelle Z, Dong W, Quesada P, Sahin I, Chandra V, San Lucas A, Scheet P, Xu H, Hanash SM, Feng L, Ajami N, Petrosino J, Peterson CB, White JR, Wood LD, Maitra A, Katz M, Jenq R, Wargo J, McAllister F. Tumor microbiome diversity and composition influence pancreatic cancer outcomes. Cell 178(4):795-806.e12, 2019.
- McCulloch M, Anderson B, Cazoulat G, Peterson CB, Mohamed A, Volpe S, et al.. Biomechanical modeling of neck flexion for deformable alignment of the salivary glands in head and neck cancer images. Physics in Medicine and Biology 64(17):175018, 2019.
- Rhee DJ, Cardenas CE, Elhalawani H, McCarroll R, Zhang L, Yang J, Garden AS, Peterson CB, Beadle BM, Court LE. Automatic detection of contouring errors using convolutional neural networks. Medical Physics 46(11):5086-5097, 2019.
- Thompson PA, Srivastava J, Peterson CB, Strati P, Jorgensen JL, Hether T, et al.. Minimal residual disease undetectable by next-generation sequencing predicts improved outcome in CLL after chemoimmunotherapy. Blood 134(22):1951-1959, 2019.
- Kry S, Peterson CB, Howell R, Izewska J, Lye J, Clark C, et al. Remote beam output audits: a global assessment of results out of tolerance. Physics & Imaging in Radiation Oncology 7:39-44, 2018.
- Thompson PA, Peterson CB, Strati P, Jorgensen J, Keating MJ, O’Brien SM, et al.. Serial minimal residual disease (MRD) monitoring during first-line FCR treatment for CLL may direct individualized therapeutic strategies. Leukemia 32(11):2388-2398, 2018.
- Shaddox E, Stingo F, Peterson CB, Jacobson S, Cruickshank-Quinn C, Kechris K, Bowler R, Vannucci M. A Bayesian approach for learning gene networks underlying disease severity in COPD. Statistics in Biosciences 10(1):59-85, 2018.
- Court LE, Kisling K, McCarroll R, Zhang L, Yang J, Simonds H, …, Peterson CB, Beadle B. Radiation planning assistant – A streamlined, fully automated radiotherapy treatment planning system. The Journal of Visualized Experiments 134:e57411, 2018.
- Jiang Z, Jenq RR, Ajami NJ, Petrosino JF, Alexander AA, Ke S, Iqbal T, DuPont AW, Muldrew K, Shi Y, Peterson CB, Do K, DuPont HL. Safety and preliminary efficacy of orally administered lyophilized fecal microbiota product compared with frozen product given by enema for recurrent clostridium difficile infection: a randomized clinical trial. PLoS ONE 13(11):e0205064, 2018.
- Jasinska AJ, Zelaya I, Service SK, Peterson CB, Cantor RM, et al.. Genetic variation and gene expression across multiple tissues and developmental stages in a non-human primate. Nature Genetics 49(12):1714-1721, 2017. PMID: 29083405.
- GTEx Consortium. Genetic effects on gene expression across human tissues. Nature 550(7675):204-213, 2017. PMID: 29022597.
- Brzyski D, Peterson CB, Sobczyk P, Candes E, Bogdan M, Sabatti C. Controlling the rate of GWAS false discoveries. Genetics 205(1):61-75, 2017. PMID: 27784720.
- Peterson CB, Bogomolov M, Benjamini Y, Sabatti C. TreeQTL: hierarchical error control for eQTL findings. Bioinformatics 32(16):2556-8, 2016. e-Pub 2016. PMID: 27153635.
- Peterson CB, Service SK, Jasinska AJ, Gao F, Zelaya I, Teshiba TM, Bearden CE, Cantor RM, Reus VI, Macaya G, López-Jaramillo C, Bogomolov M, Benjamini Y, Eskin E, Coppola G, Freimer NB, Sabatti C. Characterization of expression quantitative trait loci in pedigrees from Colombia and Costa Rica ascertained for bipolar disorder. PLoS Genet 12(5):e1006046, 2016. e-Pub 2016. PMID: 27176483.
- Peterson CB, Stingo FC, Vannucci M. Joint Bayesian variable and graph selection for regression models with network-structured predictors. Statistics in Medicine 35(7):1017-31, 2016. e-Pub 2015. PMID: 26514925.
- Peterson CB, Bogomolov M, Benjamini Y, Sabatti C. Many phenotypes without many false discoveries: error controlling strategies for multitrait association studies. Genetic Epidemiology 40(1):45-56, 2016. e-Pub 2015. PMID: 26626037.
- Peterson CB, Stingo FC, Vannucci M. Bayesian inference of multiple Gaussian graphical models. Journal of the American Statistical Association 110(509):159-174, 2015. PMID: 26078481.
- Rembach A, Stingo FC, Peterson CB, Vannucci M, Do K, Wilson WJ, Macaulay SL, Ryan TM, Martins RN, Ames D, Masters CL, Doecke JD, the AIBL Research Group. Bayesian graphical network analyses reveal complex biological interactions specific to Alzheimer's Disease. Journal of Alzheimer's Disease 10(4):P796-P797, 2015. PMID: 25613103.
- Cowley AW, Moreno C, Jacob HJ, Peterson CB, Stingo FC, Ahn KW, Liu P, Vannucci M, Laud PW, Reddy P, Lazar J, Evans L, Yang C, Kurth T, Liang M. Characterization of biological pathways associated with a 1.37 Mbp genomic region protective of hypertension in Dahl S rats. Physiological Genomics 46(11):398-410, 2014. e-Pub 2014. PMID: 24714719.
- Allen GI, Peterson CB, Vannucci M, Maletic-Savatic M. Regularized partial least squares with an application to NMR spectroscopy. Statistical Analysis and Data Mining 6(4):302-314, 2013.
- Peterson CB, Vannucci M, Karakas C, Choi W, Ma L, and Maletic-Savatic M. Inferring metabolic networks using the Bayesian adaptive graphical lasso with informative priors. Statistics and Its Interface 6(4):547-558, 2013.
- Swartz MD, Peterson CB, Lupo PJ, Wu X, Forman MR, Spitz MR, Hernandez LM, Vannucci M, Shete S. Investigating multiple candidate genes and nutrients in the folate metabolism pathway to detect genetic and nutritional risk factors for lung cancer. PLoS One 8(1):e53475, 2013. e-Pub 2013. PMID: 23372658.
Invited Articles
- Peterson CB, Stingo FC. Invited discussion of “On the prior and posterior distributions used in graphical modelling” by Marco Scutari. Bayesian Analysis 8(3):539-542, 2013.
Book Chapters
- Peterson CB, Swartz MD, Shete S, Vannucci M. Bayesian model averaging for genetic association studies. In: Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data,. Cambridge University Press, 208-223, 2013.
Grant & Contract Support
| Title: | Cancer Center Support Grant (CCSG) - Biostatistics Resource Group (BRG) |
| Funding Source: | NIH/NCI |
| Role: | Biostatistician |
| Title: | Collaborative research: Covariate-driven approaches to network estimation |
| Funding Source: | National Science Foundation (NSF) |
| Role: | PD/PI |
| Title: | Multiparametric Magnetic Resonance Imaging Artificial Intelligence Pipeline for Oropharyngeal Cancer Radiotherapy Treatment Guidance |
| Funding Source: | NIH/NIDCR |
| Role: | Other Significant Contributor |
| Title: | New data science approaches to visualize and understand the impact of the microbiome on risk of graft-versus-host disease |
| Funding Source: | NIH/NHLBI |
| Role: | PD/PI |
| Title: | Leveraging Hyperpolarized MRI for Precision Oncology Approaches in Head and Neck Cancer |
| Funding Source: | NIH/NCI |
| Role: | Co-Investigator |