- Penn State University - BS Biochemistry and Molecular Biology
- Penn State University - BS Immunology and Infectious Disease
- Penn State University - Pathobiolgy PhD Program
- gene-environment interactions
- cancer research
- genotype-phenotype relationships
The Hall Lab published a study in PLoS Genetics featuring the lab’s novel genetic encoding method: EDGE. Using EDGE, we identified a novel genetic interaction associated with age-related cataract that no other method identified. EDGE shows promise for identifying nonadditive genetic effects in biomedical data.
The Hall Lab is presenting at the 2020 ASHG virtual conference. Please see the following posters:
- 2045 John McGuigan Automated machine learning for rare variant analysis of response to antiretroviral therapy in persons living with HIV.
- 2418 Morris Aguilar Secondary Metabolomic Analysis of Breast Cancer Nanoparticle Chemotherapy: Fatty Acid Metabolism Perturbation With Newly Quantified Metabolites and High Fidelity Classification Models
- 2715 Jiayan Zhou Interactions between genes and fatty acids for cardiac-related traits in LURIC cohort
- 3508 Nicole Palmiero Environment-wide association study of the phenome to evaluate complexity of the exposome
- 3539 Molly Hall Metabolomics reveals novel biomarkers in children who experienced maltreatment
Jiayan Zhou’s first first-author paper titled “Investigation of gene-gene interactions in cardiac traits and serum fatty acid levels in the LURIC Health Study” was published in PLoS one.
The Hall Lab original CLARITE (pronounced clarity) software and first EWAS for BMI was published in Frontiers in Genetics: CLARITE Facilitates the Quality Control and Analysis Process for EWAS of Metabolic-Related Traits
Graduate students, Jiayan Zhou and Kristin Passero present their first posters at the American Society of Human Genetics in Houston
Congratulations to Jiayan Zhou for passing his candidacy exam!
Congratulations to Jiayan Zhou for earning the CAS Travel Award to ASHG in Houston for his poster titled “Investigation of gene-gene interactions in cardiac traits and serum fatty acid level in LURIC cohort”