Evidence map›Paper›PMID 24672537›Full record

ReviewFrontiers in genetics2014

Copy number variation analysis in the context of electronic medical records and large-scale genomics consortium efforts.

John J Connolly, Joseph T Glessner, Berta Almoguera, David R Crosslin, Gail P Jarvik, Patrick M Sleiman, Hakon Hakonarson

Abstract readReview
In one paragraph

Review in Frontiers in genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Atlas-CNV: a validated approach to call single-exon CNVs in the eMERGESeq gene panel.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  4. Article
  5. Article
  6. BIOFILTER AS A FUNCTIONAL ANNOTATION PIPELINE FOR COMMON AND RARE COPY NUMBER BURDEN.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2016
    Article
  7. Article
  8. Review
  9. 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

7 authors.

John J ConnollyThe Center for Applied Genomics, Children's Hospital of Philadelphia Philadelphia, PA, USA.
Joseph T GlessnerThe Center for Applied Genomics, Children's Hospital of Philadelphia Philadelphia, PA, USA ; Department of Pediatrics, University of Pennsylvania Perelman School of Medicine Philadelphia, PA, USA.
Berta AlmogueraThe Center for Applied Genomics, Children's Hospital of Philadelphia Philadelphia, PA, USA.
David R CrosslinDepartments of Medicine (Medical Genetics) and Genome Sciences, University of Washington Medical Center Seattle, WA, USA.
Gail P JarvikDepartments of Medicine (Medical Genetics) and Genome Sciences, University of Washington Medical Center Seattle, WA, USA.
Patrick M SleimanThe Center for Applied Genomics, Children's Hospital of Philadelphia Philadelphia, PA, USA ; Department of Pediatrics, University of Pennsylvania Perelman School of Medicine Philadelphia, PA, USA.
Hakon HakonarsonThe Center for Applied Genomics, Children's Hospital of Philadelphia Philadelphia, PA, USA ; Department of Pediatrics, University of Pennsylvania Perelman School of Medicine Philadelphia, PA, USA.

Funding

Genetic Discovery and Application in a Clinical Setting Continuing a PartnershipU01HG006375 · NHGRI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI JARVIK, GAIL PAIRITZ, LARSON, ERIC B · 2011 to 2014
$4.1M
Integrative Analysis of a GWAS Repository with EMRs from over 40,000 ChildrenU01HG006830 · NHGRI · CHILDREN'S HOSP OF PHILADELPHIA · PI HAKONARSON, HAKON · 2012 to 2014
$3.7M
NHGRI NIH HHS U01 HG006375NHGRI NIH HHS U01 HG006830
6 · The paper itself

Abstract

The goal of this paper is to review recent research on copy number variations (CNVs) and their association with complex and rare diseases. In the latter part of this paper, we focus on how large biorepositories such as the electronic medical record and genomics (eMERGE) consortium may be best leveraged to systematically mine for potentially pathogenic CNVs, and we end with a discussion of how such variants might be reported back for inclusion in electronic medical records as part of medical history.

Indexed as

CNVcopy numbereMERGEreviewstructural variation

Identifiers

PMID24672537
PMCPMC3957100

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.