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Andrew J Mallett

Publications and source records attributed to Andrew J Mallett.

2 recordsLinked to original sources

Genetic Testing in Cystic Kidney Disease.

Genomic investigation is playing an increasing role in the management of cystic kidney diseases, reflecting a broader shift toward precision medicine in nephrology. Recent updates to the Kidney Disease Improving Global Outcomes Clinical Practice Guideline emphasize diagnostic genomics as a core component of autosomal dominant polycystic kidney disease care in particular, recognizing its utility across a range of clinical scenarios. Traditionally, diagnosis of autosomal dominant polycystic kidney disease has been clinical, using age-dependent imaging criteria for at-risk individuals via ultrasound and magnetic resonance imaging. Although these imaging modalities have good sensitivity, there are pitfalls in clinical diagnosis, particularly in patients with atypical clinical features, those without family history, or those at a young age. A confirmed genetic diagnosis can guide screening of at-risk family members, inform reproductive decisions, support safe selection of living related kidney donors, and provide the opportunity to use genotype-specific prognostication tools. In addition, as genotype-specific therapies enter the landscape, accurate genotyping will become essential for identifying which patients will benefit from treatment. This narrative review aims to provide a practical approach for the general nephrologist of when to offer genetic testing to patients with cystic kidney disease and outline the technical and genetic counseling considerations in the provision of patient-centered genetic investigation.

Humans↗

Using Large Genomic Biobanks to Generate Insights into Genetic Kidney Disease.

Chronic kidney disease (CKD) affects approximately 9% of the global population, leading to increased risks of end-stage kidney disease (ESKD), cardiovascular disease (CVD), and mortality. Patients with CKD are a huge burden on health care resources globally. CKD is a complex condition influenced by a combination of genetic, environmental, and traditional risk factors. Family studies have suggested heritability rates for CKD ranging from 30% to 75%, and large genomic biobank studies have proven essential in identifying genes with substantial effects on CKD risk and in capturing cumulative genetic risk through polygenic risk scores. These biobanks are crucial for discovering new genes associated with kidney health and disease, and their growing size enhances the power to detect novel genetic associations. Integrating multi-omics technologies such as transcriptomics, metabolomics, and proteomics further enriches our understanding of CKD, while advanced computational tools continue to expand our insights into genetic data. Polygenic risk scores, derived from hundreds of genetic variants with small effect sizes, can help identify individuals at high risk of CKD. Genomic biobanks offer valuable opportunities for early identification and personalized treatment of monogenic kidney disorders, such as autosomal dominant polycystic kidney disease and Alport syndrome. These biobanks help fill knowledge gaps, particularly in individuals with milder or asymptomatic presentations who are often underrepresented in traditional studies. Expanding genomic biobank efforts globally, especially in diverse populations, is vital to enhancing our understanding of the genetic underpinnings of kidney disease. This review highlights the significant contributions of genomic biobanks to advancing our comprehension of the genetics of CKD.

Humans↗