# Efficient count-based models improve power and robustness for large-scale single-cell eQTL mapping

Source: [nature.com](https://www.nature.com/articles/s41588-026-02830-5) · 2026-11-10 · Life
Page: https://themorning.science/story/efficient-count-based-models-improve-power-and-robustness-for-large-scale-single-3c89652be9c373a6
Kind: research · Impact: medium

## In brief

- The study presents jaxQTL, a count-based pseudobulk framework for single-cell eQTL mapping.
- When applied to OneK1K data, jaxQTL discovers more eGenes than existing methods.
- The source abstract describes the framework as efficient but is truncated, so run-time details are not confirmed here.

## Why it matters

Single-cell eQTL studies depend on statistical methods that detect genetic effects on gene expression, and a method that finds more eGenes could improve power in large cell-type-resolved genetic studies.

## Timeline

- 2026-11-10: Published online in Nature Genetics (doi:10.1038/s41588-026-02830-5)

## Coverage

- [Efficient count-based models improve power and robustness for large-scale single-cell eQTL mapping](https://www.nature.com/articles/s41588-026-02830-5) — nature.com, 2026-11-10

Tags: single-cell, eqtl, genetics, pseudobulk, statistical methods

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Brief generated by AI (claude-haiku-5-5) from the reporting listed under Coverage. Headlines belong to their publishers. The Morning Science – https://themorning.science