This study uses multimodal transcriptomic data to enhance Alzheimer's disease risk gene discovery, identifying 161 risk genes with proteomic support and an interconnected network of hub genes.

DOI 10.64898/2026.10.29.26366737

humanbulk RNA-seq

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintOct 5, 2026

Integrating dorsolateral prefrontal cortex multi-omics and GWAS summary data enhances gene-mapping of Parkinson's disease

Qiang Liu, Shinya Tasaki, David A. A Bennett…·Jingjing Yang

This study integrates multi-omics data from DLPFC with GWAS summary data to identify PD risk genes, finding significant overlaps between bulk and cell-type-aware TWAS and PWAS results.

DOI 10.64898/2026.05.23.26353951

humanbulk RNA-seq

𝕏 PostBluesky

Genetic & Genomic MedicineAlzheimer s Research & TherapyPeer-reviewedJun 18, 2025

Proteome-wide association studies using summary pQTL data of three tissues identified 30 risk genes of Alzheimer's disease dementia

Tingyang Hu, Qiang Liu, Qile Dai…·Jingjing Yang

9 citationstop 3%

humanproteomics

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintMay 27, 2025

Cell-type-specific Transcriptomic-wide Association Studies Detected 91 Independent Risk Genes for Alzheimer's Disease Dementia

Qiang Liu, Randy L. Parrish, Shizhen Tang…·Jingjing Yang

The paper uses an omnibus xWAS pipeline to integrate snRNA-seq and GWAS data, identifying 91 independent cell-type-specific risk genes for Alzheimer's disease dementia.

DOI 10.1101/2025.05.27.25328452

humansnRNA-seq

𝕏 PostBluesky