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Related Experiment Video

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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

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An expanded phenotype centric benchmark of variant prioritisation tools.

Denise Anderson¹, Timo Lassmann¹

¹Telethon Kids Institute Precision Health Computational Biology, The University of Western Australia, Subiaco, Western Australia, Australia.

|February 28, 2022

Summary

Variant prioritization tools aid genetic disease diagnosis. Performance varies by disease, with BayesDel, CADD, and ClinPred recommended for missense variants.

Keywords:

dbNSFP disease human phenotype ontology phenotype variant prioritization

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Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Next-generation sequencing (NGS) generates vast data for genetic disease diagnosis.
Variant prioritization tools predict pathogenicity but lack disease specificity.
Previous benchmarks showed tool performance varies across disease contexts.

Purpose of the Study:

To expand the benchmark of variant prioritization tools to 37 methods.
To refine performance assessment by distinguishing nonsynonymous single nucleotide variants (nsSNVs) from missense variants.
To identify top-performing tools for variant prioritization in genetic disease diagnosis.

Main Methods:

Benchmarking 37 variant prioritization tools using disease-specific data.
Separating performance evaluation for nsSNVs and missense variants.
Analyzing in silico predictions of variant pathogenicity.

Main Results:

Significant differences in tool performance were observed.
Tool performance is dependent on specific disease phenotypes.
Performance varied between nsSNVs and missense variants.
BayesDel, CADD, and ClinPred demonstrated superior performance for missense variants.

Conclusions:

Variant prioritization tool selection must consider disease context.
Distinguishing variant types (nsSNVs vs. missense) improves assessment accuracy.
BayesDel, CADD, and ClinPred are recommended for prioritizing missense variants in genetic disease diagnosis.