CRISPR-enabled point-of-care genotyping for APOL1 genetic risk assessment

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.

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Publication Details

Journal
EMBO Molecular Medicine
Published
2024-09-13
DOI
https://doi.org/10.1038/s44321-024-00126-x
Citations
7
Primary Topic
Renal Diseases and Glomerulopathies
Type
article
Field-Weighted Citation Impact
2.37

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article

CRISPR-enabled point-of-care genotyping for APOL1 genetic risk assessment

Robert Greensmith, Anand S. Dighe, Anja Schütz, Jakob J. Metzger et al.
7 citations
EMBO Molecular Medicine
Renal Diseases and Glomerulopathies
2.37
article

CRISPR-enabled point-of-care genotyping for APOL1 genetic risk assessment

Robert Greensmith, Anand S. Dighe, Anja Schütz, Jakob J. Metzger, Bernhard Hemmer, Alexander J. Schubert, Michael M. Kaminski, Isadora T. Lape, Cristian V. Riella, Leonardo V. Riella, Xiao Tan, Sarah Wendlinger, Josefine Rau, Nora Diederich
article en
7 citations

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.

EMBO Molecular MedicineVol. 16(10)
Broad Institute (US), Beth Israel Deaconess Medical Center (US), Harvard University (US), Max Delbrück Center (DE), TUM Klinikum (DE), Massachusetts General Hospital (US), Munich Cluster for Systems Neurology (DE), Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE), Center for Systems Biology (US), Technical University of Munich (DE), Massachusetts Institute of Technology (US), Charité - Universitätsmedizin Berlin (DE)
Deutsche Forschungsgemeinschaft, Berlin Institute of Health
Openalex Percentile: Top 9%
Renal Diseases and Glomerulopathies
2.37
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