Christoph Preuß

This study shows that human KL haplotypes FC and VS cause widespread transcriptomic changes in mouse brains at 12 months old, affecting mitochondrial, ribosomal, and synaptic functions, and linking them to Alzheimer's Disease pathogenesis.

The paper functionally validates 11 genetic risk variants for late-onset Alzheimer's disease using a mouse model and compares transcriptomic effects to human cohorts.

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.

This study identifies novel genetic modifiers of late-onset Alzheimer's disease by stratifying patients into molecular subtypes using transcriptomic data and whole genome sequencing.

The paper identifies a rare PLCG2 variant that increases Alzheimer's disease risk and shows increased PLCG2 expression correlates with amyloid deposition in AD patients.

The paper uses genetic mouse models to identify transcriptomic signatures of late-onset Alzheimer’s disease by comparing mouse gene modules with human brain modules.

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.

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.