Sadeghi-Alavijeh, Omid; Chan, Melanie MY; Stanescu, Horia; Gale, Daniel P; Bockenhauer, Detlef; (2025) 50 Shades of Risk: Population Studies and the Genetic Architecture of Kidney Diseases. Journal of the American Society of Nephrology 10.1681/ASN.0000000893. (In press).

Text 50_shades_of_risk__population_studies_and_the.769.pdf - Accepted Version Access restricted to UCL open access staff until 12 September 2026. Download (2MB)

Abstract

Genetics is transforming medicine, providing the possibility of highly specific diagnoses, which in turn allow molecularly defined cohort studies that facilitate detailed insights into gene- or even variant specific prognosis and treatments. Yet, our understanding of genetic variation is changing. Previously, genetic testing typically resulted in a binary result, where an underlying genetic cause was either identified or not. With the increasing availability of population genomic data, a more nuanced view is emerging. Many disease-associated variants can also be identified in the unaffected population and the degree of enrichment in affected persons informs on the variant-associated risk. Whereas some variants have virtually complete penetrance, conforming to the old binary paradigm, others are just mildly enriched and thus may explain only part of the aetiology. Moreover, the traditional paradigm of rare variants causing rare diseases, while common variants affect common disorders is changing, as we recognise that rare variants constitute most of the overall genetic variation and thus contribute a much higher proportion of the heritability of common disorders than previously thought. Conversely, examples are emerging of common variants that contribute to rare recessive disorders. These insights from population genetics not only inform variant interpretation, but also affect genetic counselling, especially if testing was done in a clinically unaffected individual, for instance in the context of cascade screening in the family of an affected relative. Depending on the variant-specific associated disease risk, a genetic testing result may not allow a clear distinction between affected and unaffected but only a prediction of the risk for developing the associated disease.

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