Back to Search Start Over

Diagnostic yield and clinical utility of whole exome sequencing using an automated variant prioritization system, EVIDENCE.

Authors :
Seo, Go Hun
Kim, Taeho
Choi, In Hee
Park, Jung‐young
Lee, Jungsul
Kim, Sehwan
Won, Dhong‐gun
Oh, Arum
Lee, Yena
Choi, Jeongmin
Lee, Hajeong
Kang, Hee Gyung
Cho, Hee Yeon
Cho, Min Hyun
Kim, Yoon Jeon
Yoon, Young Hee
Eun, Baik‐Lin
Desnick, Robert J.
Keum, Changwon
Lee, Beom Hee
Source :
Clinical Genetics; Dec2020, Vol. 98 Issue 6, p562-570, 9p
Publication Year :
2020

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00099163
Volume :
98
Issue :
6
Database :
Complementary Index
Journal :
Clinical Genetics
Publication Type :
Academic Journal
Accession number :
147066082
Full Text :
https://doi.org/10.1111/cge.13848