Evidence map›Paper›PMID 26187847›Full record

ArticleHuman genomics2015

Utility and limitations of exome sequencing as a genetic diagnostic tool for conditions associated with pediatric sudden cardiac arrest/sudden cardiac death.

Mindy H Li, Jenica L Abrudan, Matthew C Dulik, Ariella Sasson, Joshua Brunton, Vijayakumar Jayaraman, Noreen Dugan, Danielle Haley, Ramakrishnan Rajagopalan, Sawona Biswas and 13 more

Open access · goldAbstract read
In one paragraph

Article in Human genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Functional Profiling ofCirculation. Genomic and precision medicine · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. 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

23 authors at 2 institutions in 1 country.

Mindy H LiDepartment of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. lim@email.chop.edu.
Jenica L AbrudanDepartment of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. AbrudanP@email.chop.edu.
Matthew C DulikDepartment of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. DulikM@email.chop.edu.
Ariella SassonDepartment of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA. sassona@email.chop.edu.
Joshua BruntonDepartment of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. joshua.s.brunton@gmail.com.
Vijayakumar JayaramanDepartment of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. JayaramanV1@email.chop.edu.
Noreen DuganDepartment of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. dugann@email.chop.edu.
Danielle HaleyDepartment of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. daniellemhaley@gmail.com.
Ramakrishnan RajagopalanDepartment of Pathology & Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. rajagopalanr@email.chop.edu.
Sawona BiswasDepartment of Pathology & Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. biswass1@email.chop.edu.
Mahdi SarmadyDepartment of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA. sarmadym@email.chop.edu.
Elizabeth T DeCheneDepartment of Pathology & Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. DecheneE@email.chop.edu.
Matthew A DeardorffDepartment of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. DEARDORFF@email.chop.edu.
Alisha WilkensDepartment of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. Wilkens@email.chop.edu.
Sarah E NoonDepartment of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. NoonS@email.chop.edu.
Maria I ScaranoDepartment of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. scaranom@email.chop.edu.
Avni B SantaniDepartment of Pathology & Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. SANTANI@email.chop.edu.
Peter S WhiteDepartment of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. peter.white@cchmc.org.
Jeffrey PenningtonDepartment of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA. penningtonj@email.chop.edu.
Laura K ConlinDepartment of Pathology & Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. conlinl@email.chop.edu.
Nancy B SpinnerDepartment of Pathology & Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. SPINNER@email.chop.edu.
Ian D KrantzDepartment of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. KRANTZ@email.chop.edu.
Victoria L VetterDepartment of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. vetter@email.chop.edu.
University of Pennsylvania · USChildren's Hospital of Philadelphia · US

Funding

Applying Genomic Sequencing in PediatricsU01HG006546 · NHGRI · CHILDREN'S HOSP OF PHILADELPHIA · PI KRANTZ, IAN D. · 2012 to 2016
$10.6M
MEDICAL GENETICS RESEARCH TRAINING GRANTT32GM008638 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI Rebecca Ganetzky · 1997 to 2026
$8.7M
NHGRI NIH HHS U01 HG006546NHGRI NIH HHS UO1-HG006546NIGMS NIH HHS 5T32GM008638NIGMS NIH HHS T32 GM008638
6 · The paper itself

Abstract

backgroundConditions associated with sudden cardiac arrest/death (SCA/D) in youth often have a genetic etiology. While SCA/D is uncommon, a pro-active family screening approach may identify these inherited structural and electrical abnormalities prior to symptomatic events and allow appropriate surveillance and treatment. This study investigated the diagnostic utility of exome sequencing (ES) by evaluating the capture and coverage of genes related to SCA/D.

methodsSamples from 102 individuals (13 with known molecular etiologies for SCA/D, 30 individuals without known molecular etiologies for SCA/D and 59 with other conditions) were analyzed following exome capture and sequencing at an average read depth of 100X. Reads were mapped to human genome GRCh37 using Novoalign, and post-processing and analysis was done using Picard and GATK. A total of 103 genes (2,190 exons) related to SCA/D were used as a primary filter. An additional 100 random variants within the targeted genes associated with SCA/D were also selected and evaluated for depth of sequencing and coverage. Although the primary objective was to evaluate the adequacy of depth of sequencing and coverage of targeted SCA/D genes and not for primary diagnosis, all patients who had SCA/D (known or unknown molecular etiologies) were evaluated with the project's variant analysis pipeline to determine if the molecular etiologies could be successfully identified.

resultsThe majority of exons (97.6 %) were captured and fully covered on average at minimum of 20x sequencing depth. The proportion of unique genomic positions reported within poorly covered exons remained small (4 %). Exonic regions with less coverage reflect the need to enrich these areas to improve coverage. Despite limitations in coverage, we identified 100 % of cases with a prior known molecular etiology for SCA/D, and analysis of an additional 30 individuals with SCA/D but no known molecular etiology revealed a diagnostic answer in 5/30 (17 %). We also demonstrated 95 % of 100 randomly selected reported variants within our targeted genes would have been picked up on ES based on our coverage analysis.

conclusionsES is a helpful clinical diagnostic tool for SCA/D given its potential to successfully identify a molecular diagnosis, but clinicians should be aware of limitations of available platforms from technical and diagnostic perspectives.

Indexed as

Death, Sudden, CardiacGenomicsAdolescentAllelesChildExomeGenome, HumanHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNAYoung Adult

Identifiers

PMID26187847
PMCPMC4506570
OpenAlexW1844816823

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.