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Diagnostic performance of automated, streamlined, daily updated exome analysis in patients with neurodevelopmental delay.
Seo, Go Hun; Lee, Hane; Lee, Jungsul; Han, Heonjong; Cho, You Kyung; Kim, Minji; Choi, Yunha; Choi, Jeongmin; Choi, In Hee; Rhie, Seonkyeong; Chae, Kyu Young; Kim, Yoo-Mi; Cheon, Chong Kun; Kim, Su Jin; Lee, Jieun; Kang, Eungu; Byeon, Jung Hye; Yu, Hee Joon; Shin, Young-Lim; Oh, Arum; Kim, Woo Jin; Yum, Mi-Sun; Lee, Beom Hee; Eun, Baik-Lin.
Afiliación
  • Seo GH; 3billion Inc., Seoul, South Korea.
  • Lee H; 3billion Inc., Seoul, South Korea.
  • Lee J; 3billion Inc., Seoul, South Korea.
  • Han H; 3billion Inc., Seoul, South Korea.
  • Cho YK; 3billion Inc., Seoul, South Korea.
  • Kim M; Department of Pediatrics, Asan Medical Center Children's Hospital, University of Ulsan College of Medicine, 88, Olympic-ro 43-Gil, Songpa-Gu, Seoul, 05505, South Korea.
  • Choi Y; Department of Pediatrics, Asan Medical Center Children's Hospital, University of Ulsan College of Medicine, 88, Olympic-ro 43-Gil, Songpa-Gu, Seoul, 05505, South Korea.
  • Choi J; Medical Genetics Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
  • Choi IH; Medical Genetics Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
  • Rhie S; Department of Pediatrics, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, South Korea.
  • Chae KY; Department of Pediatrics, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, South Korea.
  • Kim YM; Department of Pediatrics, Chungnam National University Sejong Hospital, Sejong, South Korea.
  • Cheon CK; Department of Pediatrics, Pusan National University Children's Hospital, Yangsan, Korea.
  • Kim SJ; Department of Pediatrics, Inha University Hospital, Inha University College of Medicine, Incheon, South Korea.
  • Lee J; Department of Pediatrics, Inha University Hospital, Inha University College of Medicine, Incheon, South Korea.
  • Kang E; Department of Pediatrics, Korea University Guro Hospital, 148 Gurodong-ro, Guro-gu, Seoul, 08308, South Korea.
  • Byeon JH; Department of Pediatrics, Korea University Guro Hospital, 148 Gurodong-ro, Guro-gu, Seoul, 08308, South Korea.
  • Yu HJ; Department of Pediatrics, Hallym University College of Medicine, Hwasung, South Korea.
  • Shin YL; Department of Pediatrics, Soonchunhyang University Bucheon Hospital, Soonchunhyang University School of Medicine, Bucheon, South Korea.
  • Oh A; Department of Pediatrics, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, South Korea.
  • Kim WJ; Department of Laboratory Medicine, EONE Laboratories, Seoul, South Korea.
  • Yum MS; Department of Pediatrics, Asan Medical Center Children's Hospital, University of Ulsan College of Medicine, 88, Olympic-ro 43-Gil, Songpa-Gu, Seoul, 05505, South Korea. misun.yum@gmail.com.
  • Lee BH; Department of Pediatrics, Asan Medical Center Children's Hospital, University of Ulsan College of Medicine, 88, Olympic-ro 43-Gil, Songpa-Gu, Seoul, 05505, South Korea. bhlee@amc.seoul.kr.
  • Eun BL; Medical Genetics Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea. bhlee@amc.seoul.kr.
Mol Med ; 28(1): 38, 2022 03 26.
Article en En | MEDLINE | ID: mdl-35346031
ABSTRACT

BACKGROUND:

The diagnostic yield of whole-exome sequencing (WES) varies from 30%-50% among patients with mild to severe neurodevelopmental delay (NDD)/intellectual disability (ID). Routine retrospective reanalysis of undiagnosed patients has increased the total diagnostic yield by 10-15%. Here, we performed proband-only WES of 1065 patients with NDD/ID and applied a prospective, daily reanalysis automated pipeline to patients without clinically significant variants to facilitate diagnoses.

METHODS:

The study included 1065 consecutive patients from 1056 nonconsanguineous unrelated families from 10 multimedical centers in South Korea between April 2018 and August 2021. WES data were analyzed daily using automatically updated databases with variant classification and symptom similarity scoring systems.

RESULTS:

At the initial analysis, 402 patients from 1056 unrelated families (38.0%, 402/1,056 families) had a positive genetic diagnosis. Daily prospective, automated reanalysis resulted in the identification of 34 additional diagnostic variants in 31 patients (3%), which increased our molecular diagnostic yield to 41% (433/1056 families). Among these 31 patients, 26 were diagnosed with 23 different diseases that were newly discovered after 2019. The time interval between the first analysis and the molecular diagnosis by reanalysis was 1.2 ± 0.9 years, which was shorter in the patients enrolled during the latter part of the study period.

CONCLUSION:

Daily updated databases and reanalysis systems enhance the diagnostic performance in patients with NDD/ID, contributing to the rapid diagnosis of undiagnosed patients by applying the latest molecular genetic information.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Pruebas Genéticas / Exoma Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Mol Med Asunto de la revista: BIOLOGIA MOLECULAR Año: 2022 Tipo del documento: Article País de afiliación: Corea del Sur

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Pruebas Genéticas / Exoma Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Mol Med Asunto de la revista: BIOLOGIA MOLECULAR Año: 2022 Tipo del documento: Article País de afiliación: Corea del Sur