Evidence map›Paper›PMID 30890783›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2019

Atlas-CNV: a validated approach to call single-exon CNVs in the eMERGESeq gene panel.

Theodore Chiang, Xiuping Liu, Tsung-Jung Wu, Jianhong Hu, Fritz J Sedlazeck, Simon White, Daniel Schaid, Mariza de Andrade, Gail P Jarvik, David Crosslin and 20 more

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Review
  2. A 33-year diagnostic odyssey in an Ashkenazi Jewish patient with Aicardi-Goutières syndrome.The journal of allergy and clinical immunology. Global · 2025
    Article
  3. Article
  4. Article
  5. Closing the gap: Solving complex medically relevant genes at scale.medRxiv : the preprint server for health sciences · 2024
    Article
  6. Review
  7. Review
  8. Article
  9. Genetic testing in ambulatory cardiology clinics reveals high rate of findings with clinical management implications.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Article
  10. Neptune: an environment for the delivery of genomic medicine.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

30 authors.

Theodore ChiangHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA. tchiangbcm@gmail.com.
Xiuping LiuHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Tsung-Jung WuHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Jianhong HuHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Fritz J SedlazeckHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Simon WhiteHelix OpCo LLC, San Francisco, CA, USA.
Daniel SchaidDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Mariza de AndradeDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Gail P JarvikUniversity of Washington Medical Center, Seattle, WA, USA.
David CrosslinKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Ian StanawayKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
David S CarrellKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
John J ConnollyChildren's Hospital of Philadelphia, Philadelphia, PA, USA.
Hakon HakonarsonChildren's Hospital of Philadelphia, Philadelphia, PA, USA.
Emily E GroopmanDepartment of Medicine, Division of Nephrology, Columbia University, New York, NY, USA.
Ali G GharaviDepartment of Medicine, Division of Nephrology, Columbia University, New York, NY, USA.
Alexander FedotovIrving Institute for Clinical and Translational Research, Columbia University, New York, NY, USA.
Weimin BiDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Magalie S LeducVeritas Genetics, Danvers, MA, USA.
David R MurdockHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Yunyun JiangHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Linyan MengDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Christine M EngDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Shu WenDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Yaping YangDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Donna M MuznyHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Eric BoerwinkleHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
William SalernoHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Eric VennerHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Richard A GibbsHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.

Funding

Genomic Architecture of Common Disease in Diverse Populations: WGS of Ongoing Hemorrhagic Stroke Study SupplementUM1HG008898 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2016 to 2020
$77.0M
Genomic Basis of Susceptibility to COVID-19 Infection and its ComplicationsU01HG006379 · NHGRI · MAYO CLINIC ROCHESTER · PI Richard R. Sharp · 2011 to 2026
$16.5M
Baylor-Johns Hopkins Center for Mendelian GeneticsU54HG006542 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2012 to 2015
$15.6M
Baylor-Johns Hopkins Center for Mendelian GeneticsUM1HG006542 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2016 to 2020
$14.5M
Finding Genomic Profiles of COVID-19 Phenotypes from the EHRU01HG008685 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIZABETH W KARLSON, Matthew S Lebo · 2015 to 2026
$13.6M
Variation, Function, and Disease Supplement ProgramU01HG008657 · NHGRI · UNIVERSITY OF WASHINGTON · PI David Russell Crosslin, Gail Pairitz Jarvik · 2015 to 2026
$13.4M
OMOP information model for eMERGE phenotypingU01HG008680 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Wendy K Chung, GEORGE M HRIPCSAK · 2015 to 2026
$13.3M
DNA Sequencing Support for the eMERGE NetworkU01HG008664 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2015 to 2019
$10.9M
Global Alliance for Genomic Health (GA4GH)U01HG008676 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI LENNON, NIALL JOHN, REHM, HEIDI L · 2015 to 2019
$8.6M
The Electronic Medical Records and Genomics (eMERGE) Network Phase III Coordinating Center (U01)U01HG008701 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PETERSON, JOSEPH F. · 2015 to 2019
$7.1M
VGER, the Vanderbilt Genome-Electronic Records ProjectU01HG008672 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DENNY, JOSHUA C., RODEN, DAN M · 2015 to 2019
$5.1M
The Future of Genomics Medicine in Patient Care: Contributions from CHOPU01HG008684 · NHGRI · CHILDREN'S HOSP OF PHILADELPHIA · PI HAKONARSON, HAKON · 2015 to 2019
$5.0M
NHGRI NIH HHS HG006542NHGRI NIH HHS HG008898NHGRI NIH HHS U01 HG006379NHGRI NIH HHS U01 HG008657NHGRI NIH HHS U01 HG008664NHGRI NIH HHS U01 HG008666NHGRI NIH HHS U01 HG008672NHGRI NIH HHS U01 HG008673NHGRI NIH HHS U01 HG008676NHGRI NIH HHS U01 HG008679NHGRI NIH HHS U01 HG008680NHGRI NIH HHS U01 HG008684NHGRI NIH HHS U01 HG008685NHGRI NIH HHS U01 HG008701
6 · The paper itself

Abstract

purposeTo provide a validated method to confidently identify exon-containing copy-number variants (CNVs), with a low false discovery rate (FDR), in targeted sequencing data from a clinical laboratory with particular focus on single-exon CNVs.

methodsDNA sequence coverage data are normalized within each sample and subsequently exonic CNVs are identified in a batch of samples, when the target log

resultsThirteen CNVs were used as a truth set to validate Atlas-CNV and compared with VisCap. We demonstrated FDR reduction in validation, simulation, and 10,926 eMERGESeq samples without sensitivity loss. Sixty-four multiexon and 29 single-exon CNVs with high C-scores were assessed by Multiplex Ligation-dependent Probe Amplification (MLPA).

conclusionAtlas-CNV is validated as a method to identify exonic CNVs in targeted sequencing data generated in the clinical laboratory. The ExonQC and C-score assignment can reduce FDR (identification of targets with high variance) and improve calling accuracy of single-exon CNVs respectively. We propose guidelines and criteria to identify high confidence single-exon CNVs.

Indexed as

SoftwareDNA Copy Number VariationsExonsGenome, HumanHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNAAtlas-CNVCNVcopy-number variationsingle-exon deletion duplicationtargeted gene panel clinical sequencing

Identifiers

PMID30890783
PMCPMC6752313

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