Evidence map›Paper›PMID 35346031›Full record

ArticleMolecular medicine (Cambridge, Mass.)2022

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

Go Hun Seo, Hane Lee, Jungsul Lee, Heonjong Han, You Kyung Cho, Minji Kim, Yunha Choi, Jeongmin Choi, In Hee Choi, Seonkyeong Rhie and 14 more

Abstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  15. Newborn screening for neurodevelopmental diseases: Are we there yet?American journal of medical genetics. Part C, Seminars in medical genetics · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Go Hun Seo3billion Inc., Seoul, South Korea.
Hane Lee3billion Inc., Seoul, South Korea.
Jungsul Lee3billion Inc., Seoul, South Korea.
Heonjong Han3billion Inc., Seoul, South Korea.
You Kyung Cho3billion Inc., Seoul, South Korea.
Minji KimDepartment 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.
Yunha ChoiDepartment 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.
Jeongmin ChoiMedical Genetics Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
In Hee ChoiMedical Genetics Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Seonkyeong RhieDepartment of Pediatrics, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, South Korea.
Kyu Young ChaeDepartment of Pediatrics, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, South Korea.
Yoo-Mi KimDepartment of Pediatrics, Chungnam National University Sejong Hospital, Sejong, South Korea.
Chong Kun CheonDepartment of Pediatrics, Pusan National University Children's Hospital, Yangsan, Korea.
Su Jin KimDepartment of Pediatrics, Inha University Hospital, Inha University College of Medicine, Incheon, South Korea.
Jieun LeeDepartment of Pediatrics, Inha University Hospital, Inha University College of Medicine, Incheon, South Korea.
Eungu KangDepartment of Pediatrics, Korea University Guro Hospital, 148 Gurodong-ro, Guro-gu, Seoul, 08308, South Korea.
Jung Hye ByeonDepartment of Pediatrics, Korea University Guro Hospital, 148 Gurodong-ro, Guro-gu, Seoul, 08308, South Korea.
Hee Joon YuDepartment of Pediatrics, Hallym University College of Medicine, Hwasung, South Korea.
Young-Lim ShinDepartment of Pediatrics, Soonchunhyang University Bucheon Hospital, Soonchunhyang University School of Medicine, Bucheon, South Korea.
Arum OhDepartment of Pediatrics, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, South Korea.
Woo Jin KimDepartment of Laboratory Medicine, EONE Laboratories, Seoul, South Korea.
Mi-Sun Yum *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.
Beom Hee Lee *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.ORCID 0000-0001-9709-2631
Baik-Lin Eun *Department of Pediatrics, Korea University Guro Hospital, 148 Gurodong-ro, Guro-gu, Seoul, 08308, South Korea. bleun@korea.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsThe 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.

resultsAt 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.

conclusionDaily 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.

Indexed as

ExomeGenetic TestingExome SequencingHumansProspective StudiesRetrospective StudiesNeurodevelopmental delayReanalysisWhole exome sequencing

Identifiers

PMID35346031
PMCPMC8962085

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.