Zornitza Stark, Alicia B. Byrne, Matthew G. Sampson, Rachel Lennon, Andrew J. Mallett
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A guide to gene–disease relationships in nephrology
The use of next-generation sequencing technologies such as exome and genome sequencing in research and clinical care has transformed our understanding of the molecular architecture of genetic kidney diseases. Although the capability to identify and rigorously assess genetic variants and their relationship to disease has advanced considerably in the past decade, the curation of clinically relevant relationships between genes and specific phenotypes has received less attention, despite it underpinning accurate interpretation of genomic tests. Here, we discuss the need to accurately define gene–disease relationships in nephrology and provide a framework for appraising genetic and experimental evidence critically. We describe existing international programmes that provide expert curation of gene–disease relationships and discuss sources of discrepancy as well as efforts at harmonization. Further, we highlight the need for alignment of disease and phenotype terminology to ensure robust and reproducible curation of knowledge. These collective efforts to support evidence-based translation of genomic sequencing into practice across clinical, diagnostic and research settings are crucial for delivering the promise of precision medicine in nephrology, providing more patients with timely diagnoses, accurate prognostic information and access to targeted treatments.
期刊介绍:
Nature Reviews Nephrology aims to be the premier source of reviews and commentaries for the scientific communities it serves.
It strives to publish authoritative, accessible articles.
Articles are enhanced with clearly understandable figures, tables, and other display items.
Nature Reviews Nephrology publishes Research Highlights, News & Views, Comments, Reviews, Perspectives, and Consensus Statements.
The content is relevant to nephrologists and basic science researchers.
The broad scope of the journal ensures that the work reaches the widest possible audience.