# The Casual Associations Between Brain Functional Networks and Fibromyalgia: A Large-Scale Genetic Correlation and Mendelian Randomization Study

**Authors:** Yiqun Hu, Guang Yang, Zhenhan Deng, Shengwu Yang, Yusheng Li, Wenfeng Xiao, Bangbao Lu, Xiongbai Zhu

PMC · DOI: 10.3390/bioengineering12070692 · 2025-06-25

## TL;DR

This study explores how brain networks may be causally linked to fibromyalgia using genetic data and suggests potential targets for treatment.

## Contribution

The study identifies specific brain functional networks with causal associations to fibromyalgia and related symptoms using genetic correlation and Mendelian randomization.

## Key findings

- Pheno801 and Pheno1696 show significant causal effects on fibromyalgia and related symptoms like insomnia and fatigue.
- Pheno103 is linked to fibromyalgia and pain-related traits with notable statistical significance.
- Targeting these brain networks could help prevent or alleviate fibromyalgia.

## Abstract

While the central mechanisms of fibromyalgia have gained attention, the causal effects between brain networks and fibromyalgia remain unclear. Two-sample Mendelian randomization and Linkage Disequilibrium Score Regression were performed to investigate the relationship between 191 rsfMRI traits and 8 fibromyalgia-related traits. A total of 4 rsfMRI traits were genetically correlated with trouble falling asleep, 11 with back pain for 3+ months, 16 with pain all over the body, 14 with insomnia, 5 with fibromyalgia, 4 with fibromyalgia, and 3 with malaise and fatigue. Pheno801 has significant causal effects on malaise and fatigue (OR = 1.0022, p = 0.01), fibromyalgia (finngen) (OR = 1.5055, p = 0.03), and insomnia (OR = 1.4063, p = 0.04). Pheno1696 significantly impacts fibromyalgia-related comorbidities (OR = 1.002, p = 0.02), trouble falling asleep (OR = 1.0285, p = 0.04), malaise and fatigue (OR = 1.0011, p = 0.04), and pain all over the body (OR = 0.9967, p = 0.04). Pheno103 has marked effects on fibromyalgia (finngen) (OR = 0.7477, p = 0.02), malaise and fatigue (OR = 0.9987, p = 0.03), and pain all over the body (OR = 1.0033, p = 0.03). Our findings suggest that targeting these networks could effectively prevent or alleviate fibromyalgia.

## Linked entities

- **Diseases:** fibromyalgia (MONDO:0005546)

## Full-text entities

- **Diseases:** pain (MESH:D010146), Fibromyalgia (MESH:D005356), insomnia (MESH:D007319), fatigue (MESH:D005221), back pain (MESH:D001416)

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12292968/full.md

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Source: https://tomesphere.com/paper/PMC12292968