1. CRISPR-enabled point-of-care genotyping for APOL1 genetic risk assessment.
- Author
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Greensmith, Robert, Lape, Isadora T, Riella, Cristian V, Schubert, Alexander J, Metzger, Jakob J, Dighe, Anand S, Tan, Xiao, Hemmer, Bernhard, Rau, Josefine, Wendlinger, Sarah, Diederich, Nora, Schütz, Anja, Riella, Leonardo V, and Kaminski, Michael M
- Abstract
Detecting genetic variants enables risk factor identification, disease screening, and initiation of preventative therapeutics. However, current methods, relying on hybridization or sequencing, are unsuitable for point-of-care settings. In contrast, CRISPR-based-diagnostics offer high sensitivity and specificity for point-of-care applications. While these methods have predominantly been used for pathogen sensing, their utilization for genotyping is limited. Here, we report a multiplexed CRISPR-based genotyping assay using LwaCas13a, PsmCas13b, and LbaCas12a, enabling the simultaneous detection of six genotypes. We applied this assay to identify genetic variants in the APOL1 gene prevalent among African Americans, which are associated with an 8–30-fold increase in the risk of developing kidney disease. Machine learning facilitated robust analysis across a multicenter clinical cohort of more than 100 patients, accurately identifying their genotypes. In addition, we optimized the readout using a multi-analyte lateral-flow assay demonstrating the ability for simplified genotype determination of clinical samples. Our CRISPR-based genotyping assay enables cost-effective point-of-care genetic variant detection due to its simplicity, versatility, and fast readout. Synopsis: CRISPR-based diagnostics have the potential to increase the accessibility of genotyping for pathogenic variants due to its fast and user-friendly nature which enables on-site testing without elaborate machinery. The multiplexed CRISPR assay reported detects two variants in the APOL1 gene relevant for kidney disease and transplantation. Genotyping for six possible APOL1 genotypes was achieved in a single reaction in a multi-center clinical cohort of over 100 patients. Machine learning analysis was incorporated for clear result interpretation and the genotyping accuracy was determined to be comparable to current gold standard methods. The assay was adapted for a multi-analyte lateral-flow-based readout, enabling a visual readout and further enhancing point-of-care compatibility. This approach is applicable to CRISPR-based detection of genetic variants relevant for other medical fields, improving the accessibility of personalised diagnostics. CRISPR-based diagnostics have the potential to increase the accessibility of genotyping for pathogenic variants due to its fast and user-friendly nature which enables on-site testing without elaborate machinery. The multiplexed CRISPR assay reported detects two variants in the APOL1 gene relevant for kidney disease and transplantation. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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