PT  - JOURNAL ARTICLE
AU  - Go Hun Seo
AU  - Taeho Kim
AU  - Jung-young Park
AU  - Jungsul Lee
AU  - Sehwan Kim
AU  - Dhong-gun Won
AU  - Arum Oh
AU  - Yena Lee
AU  - In Hee Choi
AU  - Jeongmin Choi
AU  - Hajeong Lee
AU  - Hee Gyung Kang
AU  - Hee Yeon Cho
AU  - Min Hyun Cho
AU  - Yoon Jeon Kim
AU  - Young Hee Yoon
AU  - Baik-Lin Eun
AU  - Robert J Desnick
AU  - Changwon Keum
AU  - Beom Hee Lee
TI  - Pilot study of EVIDENCE: High diagnostic yield and clinical utility of whole exome sequencing using an automated interpretation system for patients with suspected genetic disorders
AID  - 10.1101/628438
DP  - 2019 Jan 01
TA  - bioRxiv
PG  - 628438
4099  - http://biorxiv.org/content/early/2019/11/15/628438.short
4100  - http://biorxiv.org/content/early/2019/11/15/628438.full
AB  - Purpose EVIDENCE, 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.Methods DNA 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.Results The 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 patient’s phenotype.Conclusion This new, automated variant interpretation system facilitated the diagnosis of various genetic diseases with a 51% improvement in diagnostic yield.