Mary K. Wojczynski

This paper introduces GiG, a graph AI framework that integrates and interprets whole-person medical and omics data to prioritize biomarkers and improve disease diagnosis.

This study identifies age and survival-related transcriptomic signatures in longevity-enriched cohorts using RNAseq data from blood samples.

This study identifies novel protective genetic variants associated with TMT-B performance using a family-based GWLS approach in the Long Life Family Study.

The paper identifies pleiotropic genetic factors shared between kidney function and sRAGE using GWAS and TWAS in the LLFS cohort.

The paper describes a system for quality assurance of whole genome sequence data in family studies, focusing on identifying germline variants and improving call accuracy through family-based filters.

The paper integrates multi-omics data to identify genes influencing cardiovascular risk traits in the Long Life Family Study, finding 64 significant genes and replicating 29 in the Framingham Heart Study.

This study identifies 15 genetic loci associated with muscle weakness in older adults through a large meta-analysis, revealing new pathways linked to aging and health outcomes.

This study identifies 100 loci associated with mitochondrial DNA copy number and finds causal links between mitochondrial function and mortality.

This study identifies over 50 new genetic loci associated with pulmonary function through a multiethnic meta-analysis of 90,715 individuals.