Lara M. Mangravite

This study identifies blood-based biomarkers associated with Alzheimer's disease genetic risk variants in a large cohort of healthy adults, showing effects from early adulthood and sex-specific patterns.

This paper identifies 8 genes across 6 genomic loci associated with Alzheimer's disease risk using transcriptome-wide association study and validates them with summary Mendelian randomization.

The paper estimates molecular pseudotime for Alzheimer's disease progression using RNA-Seq data from human brain samples, showing strong concordance with pathological markers and cognitive diagnosis.

The paper introduces a NanoString nCounter Mouse AD panel to assess LOAD mouse models by correlating gene expression with human AD modules, showing strong correlation with RNA-Seq data.

The paper develops a multi-view evidence aggregation method to identify and rank potential driver genes of Alzheimer's Disease using RNA-Seq data and GWAS summary statistics.

This study uses a crowdsourcing approach to stratify ALS patients, identifying four distinct clusters with unique predictors and improving outcome prediction.

The paper identifies gene expression signatures in human and mouse brains linked to Alzheimer's disease and finds species-specific and shared patterns across neurodegenerative models.

Coexpression meta-analysis of 2114 human brain RNA-seq samples across the AMP-AD consortium identifies five consensus Alzheimer's disease transcriptional clusters, including two sex-heterogeneous clusters and a previously unreported proteostasis cluster.

The paper develops gene-expression-based prognostic models for 30-day mortality in sepsis using community-onset and hospital-acquired sepsis cohorts, showing improved prediction when combined with clinical scores.