Michael D. Greicius

The paper uses long-read genome sequencing and multi-omics data to identify structural variants associated with aging and neurodegenerative diseases, finding that SVs are more likely to be causal than SNVs.

This study examines how APOE ε4 and Alzheimer's pathology interact to affect neural correlates of episodic memory in cognitively unimpaired older adults.

The paper integrates long-read sequencing and gene expression to prioritize functional structural variants and tandem repeats in rare disease patients, identifying potential causal variants in a neurodevelopmental disorder.

This study identifies genetic variants associated with human longevity, finding enrichment for oncogenic genes and pathways linked to cancer and clonal hematopoiesis.

The paper uses plasma proteomics from the UK Biobank to estimate organ age and links it to disease risk and longevity.

The paper introduces regionalpcs, a method for summarizing DNA methylation patterns, showing improved sensitivity in detecting associations with Alzheimer's disease traits.

The paper identifies rare FN1 variants that protect APOEε4 carriers from Alzheimer's disease by modulating extracellular matrix deposition and gliosis.

This study shows that TREM1 deficiency prevents age-related myeloid metabolic changes and cognitive decline in Alzheimer's disease models.

This study identifies four novel genetic loci associated with soluble TREM2 levels in CSF through GWAS and provides functional validation of their roles in Alzheimer's disease.

The paper identifies rare damaging variants in ATP8B4 and ABCA1 as novel risk factors for Alzheimer's Disease using exome sequencing data from 32,558 individuals.

This paper introduces GhostKnockoff, a method to improve causal variant identification in GWAS by increasing statistical power and reducing proxy variants.

This paper introduces a statistical method using knockoff statistics to identify causal loci in whole-genome sequencing data, showing increased discovery potential in Alzheimer's and COPD studies.

The paper introduces NETPAGE, a network propagation method to analyze rare mutations in Alzheimer's disease, identifying tissue-specific hub genes and predicting disease status.

This study identifies a genetic variant in CSMD1 associated with amygdala connectivity and prosocial behavior through a GWAS of brain networks in adolescents.

The paper responds to a commentary challenging its 2015 findings that gene expression similarity within functional brain networks is higher than expected by chance, and defends the original results.