Molly Hall, PhD, M.S.

  • Assistant Professor
  • Dr. Frances Keesler Graham Early Career Professor
Molly Hall, PhD, M.S.
Veterinary and Biomedical Sciences
College of Agricultural Sciences
Huck Institutes of the Life Sciences
512A Wartik Lab

University Park, PA 16802
Work Phone: 814-865-0794

Areas of Expertise

  • Genomics
  • Human Genetics
  • Exposome
  • Genetic Interactions (Epistasis)
  • Gene-Environment Interactions
  • Complex Disease
  • Precision Medicine
  • Biomedical Informatics
  • Metabolomics


  1. Postdoctoral Fellowship - University of Pennsylvania School of Medicine
  2. PhD - Penn State University, Biochemistry & Molecular Biology
  3. MS - Columbia University, Neuroscience & Education
  4. BS - Cornell University, Human Development


The Hall Lab is focused on building tools to elucidate the complex genetic and environmental underpinnings of human disease. We integrate genetic (genotype, sequence, structural variation) and exposure (derived from surveys and metabolomics methods) big data to predict disease status. The ultimate goals of this work are to 1) enrich our understanding of the complex mechanisms that lead to common disease and 2) provide methods to identify those most at risk of disease (based on their genetic and exposure backgrounds) in a clinical setting.


Select Publications:

Lucas AM, Palmiero NE, McGuigan J, Passero K, Zhou J, Orie D, Ritchie MD and Hall MA (2019) CLARITE Facilitates the Quality Control and Analysis Process for EWAS of Metabolic-Related Traits. Front. Genet. 10:1240. doi: 10.3389/fgene.2019.01240 


Hall MA, Wallace J, Lucas A, et al. (2017) PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies. Nature Communications: 8 1167


Hall MA, Moore JH, Ritchie MD (2016) Embracing complex associations in common traits: Critical considerations for precision medicineTrends in Genetics: 32, 470-484


Hall MA, Verma SS, Wallace J, Lucas A, et al. (2015) Biology-driven gene-gene interaction analysis of age-related cataract in the eMERGE NetworkGenetic Epidemiology: 39 376-384


Hall MA, Verma A, Brown-Gentry KD, Goodloe R, et al. (2014) Detection of pleiotropy through and phenome-wide association study (PheWAS) of epidemiologic data as part of the Environmental Architecture for Genes Linked to Environment (EAGLE) studyPLoS Genetics: 10.


Hall MA, Dudek SM, Goodloe R, Crawford DC, Pendergrass SA, et al. (2014) Environment-wide association study (EWAS) for type 2 diabetes in the Marshfield Personalized Medicine Research Project BiobankPac Symp Biocomput: 200-211