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Diagnostic performance of automated, streamlined, daily updated exome analysis in patients with neurodevelopmental delay

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 p...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962085/
https://www.ncbi.nlm.nih.gov/pubmed/35346031
http://dx.doi.org/10.1186/s10020-022-00464-x
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author 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
author_facet 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
author_sort Seo, Go Hun
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s10020-022-00464-x.
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spelling pubmed-89620852022-03-30 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 Mol Med Research Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s10020-022-00464-x. BioMed Central 2022-03-26 /pmc/articles/PMC8962085/ /pubmed/35346031 http://dx.doi.org/10.1186/s10020-022-00464-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
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
Diagnostic performance of automated, streamlined, daily updated exome analysis in patients with neurodevelopmental delay
title Diagnostic performance of automated, streamlined, daily updated exome analysis in patients with neurodevelopmental delay
title_full Diagnostic performance of automated, streamlined, daily updated exome analysis in patients with neurodevelopmental delay
title_fullStr Diagnostic performance of automated, streamlined, daily updated exome analysis in patients with neurodevelopmental delay
title_full_unstemmed Diagnostic performance of automated, streamlined, daily updated exome analysis in patients with neurodevelopmental delay
title_short Diagnostic performance of automated, streamlined, daily updated exome analysis in patients with neurodevelopmental delay
title_sort diagnostic performance of automated, streamlined, daily updated exome analysis in patients with neurodevelopmental delay
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962085/
https://www.ncbi.nlm.nih.gov/pubmed/35346031
http://dx.doi.org/10.1186/s10020-022-00464-x
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