Diagnostic yield and clinical utility of whole exome sequencing using an automated variant prioritization system, <scp>EVIDENCE</scp>

Go Hun Seo(Seoul Medical Center), Tae Ho Kim(Ulsan College), In Hee Choi(Ulsan College), Jung‐Young Park(Seoul Medical Center), Jungsul Lee(Seoul Medical Center), Sehwan Kim(Seoul Medical Center), Dhong‐gun Won(Seoul Medical Center), Arum Oh(Ulsan College), Yena Lee(Ulsan College), Jeongmin Choi(Ulsan College), Hajeong Lee(Seoul National University Hospital), Hee Gyung Kang(Seoul National University Hospital), Hee Yeon Cho(Samsung Medical Center), Min Hyun Cho(Kyungpook National University), Yoon Jeon Kim(Asan Medical Center), Young Hee Yoon(Asan Medical Center), Baik‐Lin Eun(Korea University), Robert J. Desnick(Mount Sinai Medical Center), Changwon Keum(Seoul Medical Center), Beom Hee Lee(Ulsan College)
Clinical Genetics
September 14, 2020
Cited by 165Open Access
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Abstract

EVIDENCE, an automated variant prioritization system, has been developed to facilitate whole exome sequencing analyses. This study investigated the diagnostic yield of EVIDENCE in patients with suspected genetic disorders. DNA from 330 probands (age range, 0-68 years) with suspected genetic disorders were subjected to whole exome sequencing. Candidate variants were identified by EVIDENCE and confirmed by testing family members and/or clinical reassessments. EVIDENCE reported a total 228 variants in 200 (60.6%) of the 330 probands. The average number of organs involved per patient was 4.5 ± 5.0. After clinical reassessment and/or family member testing, 167 variants were identified in 141 probands (42.7%), including 105 novel variants. These variants were confirmed as being responsible for 121 genetic disorders. A total of 103 (61.7%) of the 167 variants in 95 patients were classified as pathogenic or probably to be pathogenic before, and 161 (96.4%) variants in 137 patients (41.5%) after, clinical assessment and/or family member testing. Factor associated with a variant being regarded as causative includes similar symptom scores of a gene variant to the phenotype of the patient. This new, automated variant interpretation system facilitated the diagnosis of various genetic diseases with a 42.7% diagnostic yield.


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