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Diagnostic yield and clinical utility of whole exome sequencing using an automated variant prioritization system, EVIDENCE.
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.
Afiliação
  • Seo GH; Division of Medical genetics, 3billion Inc., Seoul, South Korea.
  • Kim T; Biomedical Research Center, Asan Institute for Life Sciences, 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.
  • Park JY; Division of Medical genetics, 3billion Inc., Seoul, South Korea.
  • Lee J; Division of Medical genetics, 3billion Inc., Seoul, South Korea.
  • Kim S; Division of Medical genetics, 3billion Inc., Seoul, South Korea.
  • Won DG; Division of Medical genetics, 3billion Inc., Seoul, South Korea.
  • Oh A; Department of Pediatrics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
  • Lee Y; Department of Pediatrics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
  • Choi J; Biomedical Research Center, Asan Institute for Life Sciences, University of Ulsan College of Medicine, Seoul, South Korea.
  • Lee H; Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
  • Kang HG; Department of Pediatrics, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
  • Cho HY; Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
  • Cho MH; Department of Pediatrics, School of Medicine, Kyungpook National University, Daegu, South Korea.
  • Kim YJ; Department of Ophthalmology, Asan Medical Center, University of Ulsan, Seoul, South Korea.
  • Yoon YH; Department of Ophthalmology, Asan Medical Center, University of Ulsan, Seoul, South Korea.
  • Eun BL; Department of Pediatrics, Korea University College of Medicine, Seoul, South Korea.
  • Desnick RJ; Department of Genetics and Genomic Sciences, Icahn School of Medicine, Mount Sinai Medical Center, New York, New York, USA.
  • Keum C; Division of Medical genetics, 3billion Inc., Seoul, South Korea.
  • Lee BH; Medical Genetics Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Clin Genet ; 98(6): 562-570, 2020 12.
Article em En | MEDLINE | ID: mdl-32901917
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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Automação / Biologia Computacional / Sequenciamento do Exoma / Doenças Genéticas Inatas Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Idioma: En Revista: Clin Genet Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Coréia do Sul

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Automação / Biologia Computacional / Sequenciamento do Exoma / Doenças Genéticas Inatas Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Idioma: En Revista: Clin Genet Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Coréia do Sul