Network-based framework for studying etiology and phenotypic diversity in primary ciliopathies
Year: 2026
Type: article
Abstract: BACKGROUND: Recent advances in sequencing technologies have increasingly enabled the identification of genetic causes for human monogenic diseases. However, systematic understanding remains limited due to the rarity, genetic heterogeneity, and complex genotype–phenotype relationships of these diseases. Primary ciliopathies are a diverse group of rare disorders caused by variants in genes associated with the cilium, a cellular organelle involved in signaling during development and cell homeostasis. These genetic variants result in a wide spectrum of clinical phenotypes involving the brain, eye, kidney, and skeleton. It remains unclear to what extent this phenotypic diversity can be attributed to the disease-causing genes and their specific roles in ciliary function. RESULTS: Here, we systematically compared human primary ciliopathies with each other and with mouse phenotypes by propagating known disease genes through a network of protein interactions. Network propagation improved the clustering of primary ciliopathies with shared clinical phenotypes and facilitated the identification of mouse phenotypes closely related to primary ciliopathies, due to shared groups of proteins in the interaction network. By leveraging this phenotype-specific approach, we prioritized candidate genes for specific ciliopathies and identified likely pathogenic variants in CEP43, a previously unrecognized ciliopathy gene, in three previously unsolved cases. CONCLUSIONS: This study demonstrates that network propagation enhances the genetic and phenotypic understanding of primary ciliopathies, aiding in the prioritization of candidate genes and providing a framework for unraveling shared underlying mechanisms for other rare genetic diseases.
Source: Genome biology
Authors: Ellen M. Aarts, Diederik S. Laman Trip, Ruxandra Neatu, Charlotte G. Martin, Beth Riley, Alison Kraus, Abigail Green, Mohamed H. Al-Hamed, Rachel E. Armstrong, John A. Sayer, Ruxandra Bachmann-Gagescu, Pedro Beltrao
Institutions: SIB Swiss Institute of Bioinformatics, ETH Zurich, Institute for Molecular Systems Biology, Newcastle University, Chapel Allerton Hospital, King Faisal Specialist Hospital & Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust, NIHR Newcastle Biomedical Research Centre, University of Zurich
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $5,490
Funders: Wellcome Trust, UK Research and Innovation, Cancer Research UK, National Institute for Health and Care Research, Department of Health and Social Care, Kidney Research UK, European Commission, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Northern Counties Kidney Research Fund, ETH Zürich Foundation, Helmut Horten Stiftung, Medical Research Council
OpenAlex ID: W7130513367
