Dr. Dawson is involved in multiple projects investigating the relationship between adenovirus 36 infection and outcomes related to obesity, quality of sleep and general good health. Other activities include quantifying generational shifts in the distribution of BMI due to non-assortative mating, assessing the relationship between outcomes observed in control and experimental conditions across weight loss randomized controlled trials, as well as the design, logistic support and analysis of investigations arising from within Office of Energetics.
In addition to the topics explicitly referenced above, Dr. Dawson is interested in statistical methodologies for genetic assays, particularly microarray and next-generation sequencing technologies. He is also focused on how changes to the either side of ‘energy balance’ affect health and body composition, in particular single feeding, shifts in macronutrient content away from carbohydrates as a main source of calories and interventions that foment changes in metabolism.
- Leng N, Dawson JA, Stewart RM, Ruotti V, Rissman A, Smits B, Haag J, Gould MN, Thomson JA and Kendziorski C. EBseq: An empirical Bayes hierarchical model for inference in RNA-seq experiments. Bioinformatics, vol. 29, no. 8, pp. 1035-43, 2013.
- Dawson JA, Dhurandhar EJ, Vasquez AI, Peng B and Allison DB. Propagation of Obesity Across Generations: The Roles of Differential Realized Fertility and Assortative Mating by Body Mass Index. Accepted, Human Heredity. 2013
- Dawson JA, Kaiser KA, Affuso O, Cutter G and Allison DB. A Bayesian meta-analytic study of whether rigorous control conditions diminish treatment effects in weight loss randomized clinical trials. Submitted.
- Santos DA, Dawson JA, Matias CN, Rocha PM, Minderico CS, Allison DB, Sardinha LB and Silva AM. Dual energy X-ray absorptiometry and anthropometry reference values for athletes. In preparation.
- Christopherson MR, Dawson JA, Stevenson D, Cunningham A, Bramhacharya S, Weimer PJ, Kendziorski C and Suen G. The complete genome of Ruminococcus albus 7 suggests a novel cellulolytic strategy. In preparation.
- Dawson JA and Kendziorski C. An empirical Bayesian approach for identifying differential co-expression in high-throughput experiments. Biometrics, vol. 68, no. 2, pp. 45-65, 2012.
- Dawson JA, Ye S and Kendziorski C. R/EBcoexpress: An empirical Bayesian framework for discovering differential co-expression. Bioinformatics, vol. 28, no. 14, pp. 1939-40, 2012.
- Wang P, Dawson JA, Keller MP, Yandell BS, Thornberry NA, Zhang BB, Wang I-M, Schadt EE, Attie AD. A model selection approach for expression quantitative trait loci (eQTL) mapping. Genetics, vol. 87, no. 2, pp. 611-21, 2011.
- Flowers MT, Paton CM, O’Byrne SM, Schiesser K, Dawson JA, Blaner WS, Kendziorski C, Ntambi JM. Metabolic changes in skin caused by Scd1 deficiency: a focus on retinol metabolism. PLoS One, vol. 6, no. 5, e19734, 2011.
- Raines SM, Richards OC, Schneider LR, Schueler KL, Rabaglia ME, Oler AT, Stapleton DS, Genove G, Dawson JA, Betsholtz C and Attie AD. Loss of PDGF-B activity increases hepatic vascular permeability and enhances insulin sensitivity. American Journal of Physiology: Endocrine and Medicine. E-publication before print: doi: 10.1152/ajpendo.00241.2011, 2011.
- Dawson JA and Kendziorski C. Survival-supervised latent Dirichlet allocation models for genomic analysis of time-to-event models. University of Wisconsin-Madison Biostatistics Technical Report 225, 2011.
- Dennison S, Haulena M, Williams DC, Dawson JA, Yandell BS, Gulland FMD. Determination of a sedative protocol for use in California sea lions (Zalophus californianus) with neurologic abnormalities undergoing electroencephalographic examination. Journal of Zoo and Wildlife Medicine, vol. 39, no. 4, pp. 542-547, 2008.
- Lavine JA, Raess PW, Stapleton DS, Rabaglia ME, Suhonen JI, Schueler KL, Koltes JE, Dawson JA, Yandell BS, Samuelson LC, Beinfeld MC, Davis DB, Hellerstein MK, Keller MP, Attie AD. Cholecystokinin is up-regulated in obese mouse islets and expands β-cell mass by increasing β-cell survival. Endocrinology, vol. 151, no. 8, pp. 3577-88, 2010.
- Dawson JA. Bioconductor Case Studies. The American Statistician, vol. 64, no. 2, pp. 185-186, 2010 [Book review].
Acknowledgement and Disclaimer
The trainee's projects are supported by Grant Number T32HL072757 from the National Heart, Lung, and Blood Institute. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Heart, Lung, and Blood Institute or the National Institutes of Health.
Years: 2012 - 2014
Primary Mentor: : David B. Allison, Ph.D.
Secondary Mentor: Nianjun Liu, Ph.D.
Current Position: Assistant Professor, Department of Nutrition Sciences, Texas Tech University, Lubbock, TX