Active Genetics & Molecular Biology Cancer

Whole Genome Sequencing to uncover the mutational landscape of cystic kidney diseases

In plain English

AI plain-English summary

Cystic kidney disease patients with identical genetic mutations can have vastly different outcomes—and no one knows why. This project will sequence the entire genomes of kidney cyst tissue and blood samples from patients with cystic kidney diseases (CyKD), searching for hidden genetic variants that explain this variability. While mutations in the PKD1 and PKD2 genes are known causes, they do not account for the full range of disease severity. The researchers will also compare these findings with genetic data from Von Hippel-Lindau (VHL) disease, another condition that produces kidney cysts and raises cancer risk, to identify shared and distinct molecular mechanisms. If successful, the work could uncover new genetic drivers of cyst formation and progression—essentially mapping the sequence of events that turns a healthy kidney cell into a cyst. This would open the door to more personalised treatment strategies, where therapies are tailored to a patient’s specific genetic profile rather than applied broadly. The project is fundamental science: it aims to understand the underlying biology of cyst development, not to test a drug or device. But similar genomic studies in cancer have already transformed diagnostics and treatment, and this research could do the same for kidney disease.

View original technical description
This project seeks to use whole genome sequencing (WGS) to explore the genetic underpinnings of cystic kidney diseases (CyKD). Despite known contributions from PKD1 and PKD2 variants, there remains significant variability in disease outcomes, which this study aims to address by identifying novel genetic variants and mutational signatures in cystic kidney tissue and blood samples. The research will further compare these findings with genetic data from Von Hippel-Lindau (VHL) disease, a condition also associated with renal cysts and renal cell carcinoma, to identify shared and distinct molecular mechanisms. By using methodologies from cancer genomics, the study aims to elucidate the sequence of genetic events leading to cyst formation and progression. The project involves a collaboration with the National CyKD Biobank and the Cancer Dynamics Laboratory, utilizing advanced bioinformatics tools to analyse the data. The anticipated outcomes include the identification of novel genetic drivers of CyKD and the potential to uncover new therapeutic targets. This research could lead to improved understanding and treatment of CyKD, ultimately enhancing patient outcomes through more personalized therapeutic strategies.

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Researchers

Omid Sadeghi-Alavijeh (EPMC Awardee)

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Original classification

Starter Grant for Clinical Lecturers

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