Pavan Kumar Auluck

The paper examines cell type-specific sex effects on gene expression in autism and finds a stronger overlap with autism than schizophrenia.

This study performs a single-nucleus transcriptome-wide association study to identify gene-trait associations in brain disorders, revealing cell-type-specific genetic regulation and ancestry-specific patterns.

The paper constructs a single-nucleus atlas of genetic regulation in the human brain, identifying cell-type-specific regulatory effects and disease-associated genes.

This paper uses long-read sequencing to analyze haplotype-resolved DNA methylation at the APOE locus in brain samples, identifying allele-specific methylation patterns linked to Alzheimer's disease risk.

This study uses snRNA-seq to analyze age-related transcriptional changes in four brain regions across young and aged individuals, identifying region-specific age-associated genes and biological processes.

The paper constructs a single-cell transcriptomic atlas of the human dorsolateral prefrontal cortex across neurodegenerative and neuropsychiatric diseases, revealing shared and distinct molecular mechanisms.

The paper develops epigenetic clocks using long-read DNA methylation data from diverse ancestries, showing improved aging predictions and identifying ancestry-specific aging pathways.

This study identifies biomarkers in postmortem tissues to determine menopausal status, enabling research into MT-related brain disease risks.

This study identifies sex-biased gene expression patterns across multiple cortical regions and cell types in the human brain using single-cell transcriptomics.

The paper identifies a schizophrenia-specific gene expression pattern in the subgenual anterior cingulate cortex using multivariate analysis, highlighting neuro-immune pathways and GWAS-implicated genes.

The paper uses long-read sequencing to identify structural variants and their impacts on gene expression and methylation in diverse human brain samples.

This study creates a single-nucleus transcriptomic atlas of the human DLPFC across the lifespan, revealing three transcriptomic phases and ten age-related trajectories linked to neurodevelopmental and neurodegenerative disease risk.

The paper analyzes transcriptomic differences in human brain cells with nine high-risk neuropsychiatric CNVs compared to non-carriers, finding widespread gene expression disruptions and shared functional pathways.

The paper identifies a conserved excitatory neuron gradient in human mediodorsal thalamus using single-nucleus and spatial transcriptomics, linking it to psychiatric disorder risk.

The paper identifies cell-type specific chromatin accessibility QTLs and their functional impact on brain disease risk.

The paper identifies population-level variation in enhancer expression in the human brain and links enhancer eQTL to schizophrenia heritability.

The paper uses deep RNA sequencing to compare gene expression in the subgenual anterior cingulate cortex across major psychiatric disorders and controls, finding disorder-specific expression changes and genetic associations.