Jessica Faul

Co-Investigator, Health and Retirement Study

Contact Information

3456 ISR
426 Thompson St.
Ann Arbor, MI 48104

Phone: 734.763.7477
Email: jfaul@umich.edu

Education

Ph.D., Epidemiology, University of Michigan, Ann Arbor, 2008
M.P.H., Epidemiology, University of Michigan, Ann Arbor, 2001
B.A., Japanese Language and Literature, University of Michigan, Ann Arbor, 1998

Research and Projects

Dr. Faul's work focuses on socioeconomic predictors of health and health disparities across the life course. Her research integrates genetic and social science data and uses longitudinal modeling and time-varying predictors in examining determinants of health.

Selected Recent Publications

Langa, K. M., Larson, E. B., Crimmins, E. M., Faul, J. D., Levine, D. A., Kabeto, M. U., & Weir, D. R. (2017). A comparison of the prevalence of dementia in the United States in 2000 and 2012. JAMA Internal Medicine, 177(1), 51-58.

Marouli, E., Graff, M., Medina-Gomez, C., Lo, K. S., Wood, A. R., Kjaer, T. R., ... & Rüeger, S. (2017). Rare and low-frequency coding variants alter human adult height. Nature, 542(7640), 186-190.

Faul, J. D., Mitchell, C. M., Smith, J. A., & Zhao, W. (2016). Estimating telomere length heritability in an unrelated sample of adults: Is heritability of telomere length modified by life course socioeconomic status? Biodemography and Social Biology, 62(1), 73-86.

Okbay, A., Baselmans, B. M., De Neve, J. E., Turley, P., Nivard, M. G., Fontana, M. A., ... & Gratten, J. (2016). Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nature Genetics, 48(6), 624-633.

Okbay, A., Beauchamp, J. P., Fontana, M. A., Lee, J. J., Pers, T. H., Rietveld, C. A., ... & Oskarsson, S. (2016). Genome-wide association study identifies 74 loci associated with educational attainment. Nature, 533(7604), 539-542.

Locke, A. E., Kahali, B., Berndt, S. I., Justice, A. E., Pers, T. H., Day, F. R., ... & Croteau-Chonka, D. C. (2015). Genetic studies of body mass index yield new insights for obesity biology. Nature, 518(7538), 197-206.