Tushar Kamath

This paper introduces graphREML, a likelihood-based method for heritability partitioning and enrichment analysis using GWAS summary statistics, showing greater power than S-LDSC.

This paper develops a platform to model and manipulate human microglial states in vitro using single-cell RNA sequencing and genetic tools, identifying disease-associated transcriptional signatures.

This study identifies somatic copy number variants (sCNVs) in schizophrenia cases, revealing their contribution to risk and specific NRXN1 disruptions.

The paper identifies a transient hyperactive neuronal state in early Alzheimer's disease using single-nucleus transcriptomics from living patients.

The paper shows enzymatic dissociation causes gene expression changes in microglia and proposes a protocol to reduce these artifacts in scRNA-seq.

This study identifies Sp7 and its target gene osteocrin as critical for osteocyte dendrite formation and shows their role in human skeletal diseases.

The paper identifies ten distinct midbrain dopaminergic neuron populations in Parkinson's disease, highlighting an AGTR1-expressing subtype vulnerable to degeneration and associated with PD risk genes.