Evidence map›Paper›PMID 32821428›Full record

ArticleNPJ genomic medicine2020

Partially automated whole-genome sequencing reanalysis of previously undiagnosed pediatric patients can efficiently yield new diagnoses.

Kiely N James, Michelle M Clark, Brandon Camp, Cyrielle Kint, Peter Schols, Sergey Batalov, Benjamin Briggs, Narayanan Veeraraghavan, Shimul Chowdhury, Stephen F Kingsmore

Open access · goldAbstract read
In one paragraph

Article in NPJ genomic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
6.8field-weighted citation impact, top 3% of its field
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

38 citing papers in PubMed, 60 citations in OpenAlex.

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  15. Genetics of liver disease in adults.Hepatology communications · 2024
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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

10 authors at 1 institution in 1 country.

Kiely N JamesRady Children's Institute for Genomic Medicine, San Diego, CA USA.ORCID 0000-0001-8409-4363
Michelle M ClarkRady Children's Institute for Genomic Medicine, San Diego, CA USA.
Brandon CampRady Children's Institute for Genomic Medicine, San Diego, CA USA.
Cyrielle KintDiploid, Leuven, Belgium.
Peter ScholsDiploid, Leuven, Belgium.
Sergey BatalovRady Children's Institute for Genomic Medicine, San Diego, CA USA.ORCID 0000-0002-0925-0554
Benjamin BriggsRady Children's Institute for Genomic Medicine, San Diego, CA USA.
Narayanan VeeraraghavanRady Children's Institute for Genomic Medicine, San Diego, CA USA.
Shimul ChowdhuryRady Children's Institute for Genomic Medicine, San Diego, CA USA.
Stephen F KingsmoreRady Children's Institute for Genomic Medicine, San Diego, CA USA.
Children’s Institute · US

Funding

ConProject-001U19HD077693 · NICHD · RADY PEDIATRIC GENOMICS & SYSTEMS MEDICINE INSTITUTE · PI KINGSMORE, STEPHEN FRANCIS · 2013 to 2018
$6.2M
NICHD NIH HHS U19 HD077693
6 · The paper itself

Abstract

To investigate the diagnostic and clinical utility of a partially automated reanalysis pipeline, forty-eight cases of seriously ill children with suspected genetic disease who did not receive a diagnosis upon initial manual analysis of whole-genome sequencing (WGS) were reanalyzed at least 1 year later. Clinical natural language processing (CNLP) of medical records provided automated, updated patient phenotypes, and an automated analysis system delivered limited lists of possible diagnostic variants for each case. CNLP identified a median of 79 new clinical features per patient at least 1 year later. Compared to a standard manual reanalysis pipeline, the partially automated pipeline reduced the number of variants to be analyzed by 90% (range: 74%-96%). In 2 cases, diagnoses were made upon reinterpretation, representing an incremental diagnostic yield of 4.2% (2/48, 95% CI: 0.5-14.3%). Four additional cases were flagged with a possible diagnosis to be considered during subsequent reanalysis. Separately, copy number analysis led to diagnoses in two cases. Ongoing discovery of new disease genes and refined variant classification necessitate periodic reanalysis of negative WGS cases. The clinical features of patients sequenced as infants evolve rapidly with age. Partially automated reanalysis, including automated re-phenotyping through CNLP, has the potential to identify molecular diagnoses with reduced expert labor intensity.

Indexed as

Genetic testingMolecular medicine

Identifiers

PMID32821428
PMCPMC7419288
OpenAlexW3048812914

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.