# Atrial Fibrillation and Primary Cilia-Associated Genes: The Role of CEP68

**Authors:** Zhenyu Dong, Rushd F. M. Al-Shama, Nicoline W. E. van den Berg, Makiri Kawasaki, Marc M. Terpstra, Nerea Arrarte Terreros, Elise L. Hulsman, Aldo Jongejan, Rishi A. Arora, Wim Jan P. van Boven, Antoine H. G. Driessen, Connie R. Bezzina, Sean J. Jurgens, Joris R. de Groot

PMC · DOI: 10.3390/ijms27031498 · International Journal of Molecular Sciences · 2026-02-03

## TL;DR

This study explores how a gene called CEP68, linked to primary cilia, may influence the risk of atrial fibrillation through genetic and molecular analyses in human heart tissues.

## Contribution

The study provides novel evidence of a causal link between CEP68 and atrial fibrillation using multi-omic data and Mendelian randomization.

## Key findings

- Genetically predicted CEP68 expression is significantly associated with increased atrial fibrillation risk in blood and left atrial appendage tissues.
- CEP68 methylation is inversely related to atrial fibrillation risk, suggesting a regulatory role.
- CEP68 expression is elevated in fibroblasts of atrial fibrillation patients and correlates with cardiac remodeling markers.

## Abstract

Recent studies have demonstrated that primary cilia not only play a role in cardiovascular development, but also in the progression of acquired heart disease. Their role in atrial fibrillation (AF) is incompletely understood. We hypothesize that there is a causal link between primary cilia genes and the occurrence of AF. We integrated AF GWAS data with various multi-omic datasets—including data on gene expression, DNA methylation, and protein expression quantitative trait loci (eQTL, mQTL, and pQTL)—from human left atrial appendage (LAA) tissues and blood. Genetic variants linked to primary cilia-related genes were used as instrumental variables to explore their causal links to AF, through summary-data-based Mendelian randomization (SMR) and Bayesian colocalization. Single-cell sequencing data were used to analyze the expression of the selected genes across different cell types. The mechanisms by which the selected genes exert their effects were explored using RNA sequencing data, clinical indicators, and immunohistochemical markers from 22 patients without AF from the PREDICT-AF cohort, and 21 patients with paroxysmal AF and 19 patients with persistent AF from the MARK-AF cohort. Through SMR analyses, we established significant associations between predicted CEP68 expression and AF in both blood (OR 1.25; 95% CI 1.18–1.33; false discovery rate (FDR) = 1.81 × 10−9) and LAA tissue (OR 1.12; 95% CI 1.08–1.16; FDR = 6.18 × 10−9). Moreover, predicted methylation of CEP68 showed an inverse relationship with AF risk (OR 0.87; 95% CI 0.84–0.90; FDR = 2.55 × 10−15). Colocalization results for CEP68 in both blood and the LAA indicated strong evidence of a shared causal variant. Within single-cell data, compared to the control group, AF patients had higher levels of CEP68 in fibroblasts (p = 0.046). In bulk RNA-seq data, CEP68 expression showed no significant differences among the no AF, paroxysmal AF, and persistent AF groups. CEP68 was positively correlated with the cardiac remodeling marker Thrombospondin-2 in 22 patients without AF from the PREDICT-AF cohort (r = 0.45, p = 0.03). In AF patients from the MARK-AF study, CEP68 was also positively associated with LAVI (r = 0.34, p = 0.03). Collectively, our results support a model in which genetically predicted CEP68 regulation is linked to AF liability and is consistent with fibroblast activation and remodeling-related pathways as potential mediators.

## Linked entities

- **Genes:** CEP68 (centrosomal protein 68) [NCBI Gene 23177]
- **Diseases:** atrial fibrillation (MONDO:0004981)

## Full-text entities

- **Genes:** THBS2 (thrombospondin 2) [NCBI Gene 7058] {aka EDSCLL3, TSP2}, CEP68 (centrosomal protein 68) [NCBI Gene 23177] {aka KIAA0582}
- **Diseases:** AF (MESH:D001281), heart disease (MESH:D006331)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12897887/full.md

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12897887/full.md

## References

35 references — full list in the complete paper: https://tomesphere.com/paper/PMC12897887/full.md

---
Source: https://tomesphere.com/paper/PMC12897887