Michael A. Schmidt

This study identifies DNA methylation changes in aging and Alzheimer's disease using brain and blood data, finding concordant CpG sites associated with AD progression.

This study performs a sex-stratified transcriptomic meta-analysis of Alzheimer's disease to identify sex-specific and sex-dependent gene expression differences and potential drug targets.

This study identifies age-associated DNA methylation changes in blood and their overlap with Alzheimer's disease by analyzing two cohorts and finding shared genetic variants and CpGs associated with both aging and AD.

The paper describes the quality control and integration of genotype calls from two pipelines for whole genome sequencing data in the Alzheimer’s Disease Sequencing Project, resulting in a high-quality consensus dataset.