Jesse B Mez

This paper conducts a genome-wide association study of Alzheimer's disease and dementia in a multi-ancestry military cohort, identifying 72 new dementia-associated loci through meta-analysis.

This study identifies proteomic changes in CTE brains, linking proteasome and ribosome dysfunction to disease progression and clinical features.

FourierMIL uses Fourier filtering and multiple instance learning to analyze whole-slide images, outperforming existing methods in tumor classification.

This paper develops an APOE-independent polygenic risk score for Alzheimer's disease that shows associations with cognitive decline and neuropathological markers across diverse populations.

This paper identifies genome-wide pleiotropic loci linking blood pressure and cognitive performance measures using longitudinal data from multiple cohorts.

The paper identifies sex-specific genetic loci associated with memory, executive functioning, and language performance in older adults through genome-wide meta-analyses.

This study examines the association between APOE genotype and cognitive resilience in SuperAgers, finding lower APOE-ε4 and higher APOE-ε2 frequencies in non-Hispanic White SuperAgers compared to controls and Alzheimer's cases.

This study identifies differentially expressed genes and pathways in Alzheimer's disease brain tissue from African American donors, highlighting potential targets for treatment.

This study identifies novel Alzheimer's disease risk loci by analyzing multi-ancestry GWAS data from diverse populations, highlighting the importance of including underrepresented groups in genetic research.

This study uses polygenic risk scores derived from brain transcriptomic profiles to explain clinical heterogeneity in Alzheimer's disease.

This study performs a GWAS of dementia in African-ancestry individuals, identifying risk loci and highlighting differences in gene expression.

The paper compares gene expression changes in early and late stages of chronic traumatic encephalopathy (CTE) and identifies factors influencing disease expression.

The paper identifies cognitive subgroups in Alzheimer's disease based on MRI-derived atrophy patterns and links them to specific biological pathways using transcriptomic data.

This study identifies genetic variants and pathways associated with cognitive resilience to Alzheimer's disease, finding a novel locus linked to bile acid metabolism and methylation changes.

The paper identifies genetic loci associated with cognitively-defined subgroups of late-onset Alzheimer’s disease using SNP data from multiple studies.