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Saturation mutagenesis-reinforced functional assays for disease-related genes
Journal article   Peer reviewed

Saturation mutagenesis-reinforced functional assays for disease-related genes

Kaiyue Ma, Shushu Huang, Kenneth K Ng, Nicole J Lake, Soumya Joseph, Jenny Xu, Angela Lek, Lin Ge, Keryn G Woodman, Katherine E Koczwara, …
Cell, Vol.187(23), pp.6707-6724.e22
11/2024
DOI: 10.1016/j.cell.2024.08.047
PMCID: PMC11568926
PMID: 39326416
url
https://pmc.ncbi.nlm.nih.gov/articles/PMC11568926/pdf/nihms-2020797.pdfView
Open Access

Abstract

Interpretation of disease-causing genetic variants remains a challenge in human genetics. Current costs and complexity of deep mutational scanning methods are obstacles for achieving genome-wide resolution of variants in disease-related genes. Our framework, saturation mutagenesis-reinforced functional assays (SMuRF), offers simple and cost-effective saturation mutagenesis paired with streamlined functional assays to enhance the interpretation of unresolved variants. Applying SMuRF to neuromuscular disease genes FKRP and LARGE1, we generated functional scores for all possible coding single-nucleotide variants, which aid in resolving clinically reported variants of uncertain significance. SMuRF also demonstrates utility in predicting disease severity, resolving critical structural regions, and providing training datasets for the development of computational predictors. Overall, our approach enables variant-to-function insights for disease genes in a cost-effective manner that can be broadly implemented by standard research laboratories.
genetic diseases diagnostics variant effect prediction deep mutational scanning saturation mutagenesis variants of uncertain significance dystroglycanopathies cost-effective variant interpretation high-throughput functional assays muscular dystrophies

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