Article

S-MiXcan: Inferring Cell-Type-Level Transcriptome-Wide Associations from Bulk Transcriptomics Using GWAS Summary Statistics

2026-03-24

Abstract excerpt

Cell-type–specific regulation of gene expression plays a central role in complex disease etiology, yet most transcriptome-wide association studies (TWAS) rely on bulk tissue models. Recently, a couple methods leverage single-cell transcriptomics to perform TWAS at the cell-type resolution, but they are limited by scarce matched genotype– single-cell cohorts and restricted to peripheral blood, with minimal coverage...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 89f9a190-ed39-5a6e-a512-a71a8f66a28b
DOI: 10.64898/2026.03.22.26349035

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

S-MiXcan: Inferring Cell-Type-Level Transcriptome-Wide Associations from Bulk Transcriptomics Using GWAS Summary StatisticsDOI 10.64898/2026.03.22.26349035Read

MiXcan: a Framework for Cell-Type-Specific Transcriptome-Wide Association Studies with an Application to Breast CancerSemantic proximity Read

MiXcan: a framework for cell-type-aware transcriptome-wide association studies with an application to breast cancer.Semantic proximity Read

scGWAS: landscape of trait-cell type associations by integrating single-cell transcriptomics-wide and genome-wide association studies.Semantic proximity Read

PCGA: a comprehensive web server for phenotype-cell-gene association analysis.Semantic proximity Read

Integrating single cell expression quantitative trait loci summary statistics to understand complex trait risk genes.Semantic proximity Read

scTWAS: A powerful statistical framework for single-cell transcriptome-wide association studiesSemantic proximity Read

DPCGS: a computational framework for linking GWAS to single-cell transcriptomics in complex traits and diseasesSemantic proximity Read

Benchmarking methods integrating GWAS and single-cell transcriptomic data for mapping trait-cell type associationsSemantic proximity Read

DRCTdb: disease-related cell type analysis to decode cell type effect and underlying regulatory mechanisms.Semantic proximity Read

Efficient and accurate mixed model association tool for single-cell eQTL analysisSemantic proximity Read

Estimating cell compositions and cell-type-specific expressions from GWAS data using invariant causal prediction, deep learning and regularized matrix completion: Bridging GWAS and single-cell resolution in Biobank-scale studiesSemantic proximity Read

Leveraging cell-type specificity and similarity improves single-cell eQTL fine-mapping.Semantic proximity Read