Evidence map›Paper›PMID 29263817›Full record

ArticleNPJ genomic medicine2016

Clinical detection of deletion structural variants in whole-genome sequences.

Aaron C Noll, Neil A Miller, Laurie D Smith, Byunggil Yoo, Stephanie Fiedler, Linda D Cooley, Laurel K Willig, Josh E Petrikin, Julie Cakici, John Lesko and 6 more

Open access · goldAbstract read
In one paragraph

Article in NPJ genomic medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
6.9field-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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Molecular testing in holoprosencephaly.American journal of medical genetics. Part C, Seminars in medical genetics · 2018
    Pooled it
  2. Genetics and diagnostics of inherited retinal diseases in the era of whole genome sequencing.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2025
    Article
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  18. Genome-wide characteristics ofNPJ genomic medicine · 2016
    Article
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

16 authors at 2 institutions in 1 country.

Aaron C NollCenter for Pediatric Genomic Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.
Neil A MillerCenter for Pediatric Genomic Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.
Laurie D SmithCenter for Pediatric Genomic Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.
Byunggil YooCenter for Pediatric Genomic Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.
Stephanie FiedlerDepartment of Pathology, Children's Mercy Kansas City, Kansas City, MO, USA.
Linda D CooleyDepartment of Pediatrics, University of Missouri-Kansas City, Kansas City, MO, USA.
Laurel K WilligCenter for Pediatric Genomic Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.
Josh E PetrikinCenter for Pediatric Genomic Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.
Julie CakiciRady Children's Institute for Genomic Medicine, San Diego, CA, USA.ORCID 0000-0001-5672-3396
John LeskoCenter for Pediatric Genomic Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.
Angela NewtonCenter for Pediatric Genomic Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.
Kali DetherageCenter for Pediatric Genomic Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.
Isabelle ThiffaultCenter for Pediatric Genomic Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.
Carol J SaundersCenter for Pediatric Genomic Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.
Emily G FarrowCenter for Pediatric Genomic Medicine, Children's Mercy Kansas City, Kansas City, MO, USA.ORCID 0000-0002-8864-7073
Stephen F KingsmoreHeartland Institute for Clinical and Translational Research, University of Kansas Medical Center, Kansas City, KS, USA.
Children's Mercy Hospital · USChildren’s Institute · US

Funding

ConProject-001U19HD077693 · NICHD · RADY PEDIATRIC GENOMICS & SYSTEMS MEDICINE INSTITUTE · PI KINGSMORE, STEPHEN FRANCIS · 2013 to 2018
$6.2M
Heartland Institute for Clinical and Translational ResearchTL1TR000120 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI BAROHN, RICHARD J. · 2012 to 2015
$549k
NCATS NIH HHS TL1 TR000120NICHD NIH HHS U19 HD077693
6 · The paper itself

Abstract

Optimal management of acutely ill infants with monogenetic diseases requires rapid identification of causative haplotypes. Whole-genome sequencing (WGS) has been shown to identify pathogenic nucleotide variants in such infants. Deletion structural variants (DSVs, >50 nt) are implicated in many genetic diseases, and tools have been designed to identify DSVs using short-read WGS. Optimisation and integration of these tools into a WGS pipeline could improve diagnostic sensitivity and specificity of WGS. In addition, it may improve turnaround time when compared with current CNV assays, enhancing utility in acute settings. Here we describe DSV detection methods for use in WGS for rapid diagnosis in acutely ill infants: SKALD (Screening Konsensus and Annotation of Large Deletions) combines calls from two tools (Breakdancer and GenomeStrip) with calibrated filters and clinical interpretation rules. In four WGS runs, the average analytic precision (positive predictive value) of SKALD was 78%, and recall (sensitivity) was 27%, when compared with validated reference DSV calls. When retrospectively applied to a cohort of 36 families with acutely ill infants SKALD identified causative DSVs in two. The first was heterozygous deletion of exons 1-3 of

Identifiers

PMID29263817
PMCPMC5685307
OpenAlexW2504653905

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.