Minghui Wang

The paper shows that LDSC regression can underestimate heritability when using meta-analysis or imputed variant summary statistics instead of genotyped data.

This study characterizes cell-type-specific transcriptomes across APOE genotypes in Alzheimer's disease using single-nuclei RNA sequencing, revealing APOE4-associated changes in excitatory neurons and microglia.

This study investigates how the LRRK2-N2081D variant increases Crohn's disease risk by showing it causes more severe colitis and distinct RAB substrate phosphorylation compared to LRRK2-G2019S.

This study identifies TNFR1-mediated senescence and limited TNFR2 signaling as barriers to intervertebral disc cell repair in back pain, suggesting immunomodulation as a therapeutic strategy.

This study investigates sex and APOE genotype-specific transcriptional changes in Alzheimer's disease using single-cell transcriptomics, identifying cell-type-specific differences across 54 high-resolution cell types.

The paper performs large-scale proteomic analysis of Alzheimer's disease brain regions across different racial and ethnic groups, identifying AD-related protein changes and APOE4 concordance with genotype.

This study shows that DUSP6 overexpression in the dorsal hippocampus of male 5xFAD mice reduces amyloid load and improves memory, while also reducing neuroinflammation in both sexes.

This study compares A-to-I RNA editing in postmortem and living human brain tissues, revealing significant differences in editing levels and their association with cellular processes and neurological conditions.

The paper identifies an AD-like subtype in brain aging across multiple regions, showing overlap with AD gene signatures and regional differences in gene expression.

The paper identifies novel autism risk genes by analyzing convergent coexpression patterns in brain samples, showing these genes may not be detected by sequencing studies.

The paper examines RNA editing changes during human cortical development, identifying expansion of editing sites and their genetic regulation linked to neurological disorders.

This study uses a network-based approach to analyze sex differences in immune responses to influenza virus infection in ferrets, identifying sex-biased gene expression and pathways.

This study generates a large single-cell RNA sequencing dataset of the human substantia nigra in Parkinson's disease, identifies DA neuron subtypes, and reveals molecular changes associated with PD.

The paper identifies transcriptomic changes in normal aging brains that resemble Alzheimer's disease in specific subgroups, suggesting early molecular links between aging and LOAD.

This study shows that TYROBP-APOE signaling in microglia can occur without TREM2 and influences AD pathology in mouse models.

This study identifies R47H-TREM2 mutation-induced proinflammatory microglial states in human AD and tauopathy mice, showing Akt pathway involvement and potential therapeutic targets.

The paper identifies protein network modules in Alzheimer's disease brains and cerebrospinal fluid that are associated with energy metabolism and neuroinflammation, suggesting potential biomarkers and therapeutic targets.

This study identifies molecular networks and key regulators in Alzheimer’s Disease using integrative genomics and experimental validation.

This study identifies dysregulation of cholesterol and matrisome pathways in human APOE ε4 glia, linking them to Alzheimer's disease risk.

This study identifies CD49f as a marker to isolate functional human iPSC-derived astrocytes, which can be stimulated to exhibit a neurotoxic phenotype relevant to neurodegenerative diseases.

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.

The paper identifies VGF as a key regulator of Alzheimer’s disease using multiscale causal network models and validates its protective role in mouse models.

The paper integrates brain DNA methylation data with GWAS to identify psychiatric risk genes, finding heritable CpG sites and methylation-trait associations linked to schizophrenia and bipolar disorder.

This study identifies splicing variations in aging brains linked to Alzheimer’s Disease, finds genetic regulation of splicing, and highlights shared pathways with other neurodegenerative diseases.

The paper describes a method to generate highly pure astrocytes from hiPSCs, showing they resemble primary astrocytes and have functional properties relevant to neurological disorders.