Jayna C. Nicholas

The paper examines short-term, long-term, and genetic factors influencing human plasma proteome variability using longitudinal cohort data.

This paper develops a machine learning framework to impute cross-platform proteomic data, improving replication of epidemiological findings and protein quality scoring.

This study identifies enzymes involved in amino acid incorporation into the antibiotic TLN-05220 using metabolomic and genomic analyses.

This study uses whole genome sequencing to identify 18 novel genetic loci associated with plasma fibrinogen levels, including variants more common in African populations and linked to liver-related traits and disease.