SAIGE-QTL, an efficient mixed-model tool for single-cell eQTL analysis, is published in Nature Genetics.

What it means

SAIGE-QTL is a new statistical framework for mapping expression quantitative trait loci (eQTLs) directly from single-cell RNA-sequencing data using mixed models, bypassing the common step of aggregating cells into pseudobulk profiles. Published in Nature Genetics, it is reported to be computationally efficient and to identify substantially more eGenes than pseudobulk-based approaches, while also enabling genome-wide trans-eQTL scans.

Accuracy & sourcesGrounded

The claim sits directly on a peer-reviewed primary paper in Nature Genetics (DOI 10.1038/s41588-026-02798-2), so the existence and description of the tool are solid. The reported performance figures (e.g., 48.8% more eGenes than pseudobulk in 1.2 million immune cells) come from the authors' own analyses; they are credible but have not been independently replicated here.

How new