Back

The genetic architecture of fibromyalgia across 2.5 million individuals

Kerrebijn, I.; Bjornsdottir, G.; Arbabi, K.; Urpa, L.; Haapaniemi, H.; Thorleifsson, G.; Stefansdottir, L.; Frangakis, S.; Valliere, J.; Kunorozva, L.; Abner, E.; Ji, C.; Aagaard, B.; Bliddal, H.; Brunak, S.; Bruun, M. T.; Didriksen, M.; Erikstrup, C.; Geirsson, A. J.; Gudbjartsson, D. F.; Hansen, T. F.; Jonsdottir, I.; Knight, S.; Knowlton, K. U.; Mikkelsen, C.; Nadauld, L. D.; Olafsdottir, T. A.; Ostrowski, S. R.; Pedersen, O. B.; Saevarsdottir, S.; Skuladottir, A. T.; Soerensen, E.; Stefansson, H.; Sulem, P.; Sveinsson, O. A.; Thorlacius, G. E.; Thorsteinsdottir, U.; Ullum, H.; Vikingsson,

2025-09-19 genetic and genomic medicine
10.1101/2025.09.18.25335914 medRxiv
Show abstract

Fibromyalgia is a common and debilitating chronic pain syndrome of poorly understood etiology. Here, we conduct a multi-ancestry genome-wide association study meta-analysis across 2,563,755 individuals (54,629 cases and 2,509,126 controls) from 11 cohorts, identifying the first 26 risk loci for fibromyalgia. The strongest association was with a coding variant in HTT, the causal gene for Huntingtons disease. Gene prioritization implicated the HTT regulator GPR52, as well as diverse genes with neural roles, including CAMKV, DCC, DRD2/NCAM1, MDGA2, and CELF4. Fibromyalgia heritability was exclusively enriched within brain tissues and neural cell types. Fibromyalgia showed strong, positive genetic correlation with a wide range of chronic pain, psychiatric, and somatic disorders, including genetic correlations above 0.7 with low back pain, post-traumatic stress disorder and irritable bowel syndrome. Despite large sex differences in fibromyalgia prevalence, the genetic architecture of fibromyalgia was nearly identical between males and females. This work provides the first robust genetic evidence defining fibromyalgia as a central nervous system disorder, thereby establishing a biological framework for its complex pathophysiology and extensive clinical comorbidities.

Published in Nature Medicine (predicted rank #9) · training set

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.