High diagnostic yield and clinical utility of WES for patients with undiagnosed genetic disorder by automating variant interpretation

Seo, G. H.; Park, J.-Y.; Kim, S.; Lee, J.; Oh, A.; Lee, Y.; Choi, J.; Kim, T.; Keum, C.; Lee, B. h.

doi:10.1101/628438

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bioRxiv · 10.1101/628438

High diagnostic yield and clinical utility of WES for patients with undiagnosed genetic disorder by automating variant interpretation

Seo, G. H.·Park, J.-Y.·Kim, S.·Lee, J.·Oh, A.·Lee, Y.·Choi, J.·Kim, T.·Keum, C.·Lee, B. h.

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Abstract

PurposeEVIDENCE, an automated interpretation system, has been developed to facilitate the entire process of whole exome sequencing (WES) analyses. This study investigated the diagnostic yield of EVIDENCE in patients suspected genetic disorders. MethodsDNA from 330 probands (age range, 0-68 years) with suspected genetic disorders were subjected to WES. Candidate variants were identified by EVIDENCE and confirmed by testing family members and/or clinical reassessments. ResultsThe average number of overlapping organ categories per patient was 4.5 {+/-} 5.0. EVIDENCE reported a total 244 variants in 215 (65.1%) of the 330 probands. After clinical reassessment and/or family member testing, 196 variants were identified in 171 probands (51.8%), including 115 novel variants. These variants were confirmed as being responsible for 146 genetic disorders. One hundred-seven (54.6%) of the 196 variants were categorized as pathogenic or likely pathogenic before, and 146 (74.6%) after, clinical assessment and/or family member testing. Factors associated with a variant being confirmed as causative include rules, such as PVS1, PS1, PM1, PM5, and PP5, and similar symptom scores between that variant and a patients phenotype. ConclusionThis new, automated variant interpretation system facilitated the diagnosis of various genetic diseases with a 51% improvement in diagnostic yield.

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Seo, G. H., Park, J.-Y., Kim, S., Lee, J., Oh, A., Lee, Y., Choi, J., Kim, T., Keum, C., Lee, B. h.. 2019-05-07. High diagnostic yield and clinical utility of WES for patients with undiagnosed genetic disorder by automating variant interpretation. https://doi.org/10.1101/628438

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