Evidence map›Paper›PMID 22097934›Full record

ReviewClinical genetics2012

Towards an evidence-based process for the clinical interpretation of copy number variation.

E R Riggs, D M Church, K Hanson, V L Horner, E B Kaminsky, R M Kuhn, K E Wain, E S Williams, S Aradhya, H M Kearney and 4 more

Abstract readReview
In one paragraph

Review in Clinical genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
–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

60 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. AAVC: An automated framework for high-accuracy ACMG-based variant classification.Genetics in medicine : official journal of the American College of Medical Genetics · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Toward an integrated resource for pharmacogenomics (PGx): Survey findings from the genomic medicine communities.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
  8. Review
  9. Review
  10. The Clinical Genome Resource (ClinGen): Advancing genomic knowledge through global curation.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

14 authors.

E R RiggsDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA.
D M Church
K Hanson
V L Horner
E B Kaminsky
R M Kuhn
K E Wain
E S Williams
S Aradhya
H M Kearney
D H Ledbetter
S T South
E C Thorland
C L Martin

Funding

The UCSC Genome BrowserU41HG002371 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI KENT, WILLIAM JAMES · 2012 to 2021
$36.6M
CNV Atlas of Human DevelopmentRC2HD064525 · NICHD · EMORY UNIVERSITY · PI LEDBETTER, DAVID H., WAPNER, RONALD · 2009 to 2010
$3.4M
Intramural NIH HHSNHGRI NIH HHS U41 HG002371NICHD NIH HHS HD064525NICHD NIH HHS RC2 HD064525
6 · The paper itself

Abstract

The evidence-based review (EBR) process has been widely used to develop standards for medical decision-making and to explore complex clinical questions. This approach can be applied to genetic tests, such as chromosomal microarrays, in order to assist in the clinical interpretation of certain copy number variants (CNVs), particularly those that are rare, and guide array design for optimal clinical utility. To address these issues, the International Standards for Cytogenomic Arrays Consortium has established an EBR Work Group charged with building a framework to systematically assess the potential clinical relevance of CNVs throughout the genome. This group has developed a rating system enumerating the evidence supporting or refuting dosage sensitivity for individual genes and regions that considers the following criteria: number of causative mutations reported; patterns of inheritance; consistency of phenotype; evidence from large-scale case-control studies; mutational mechanisms; data from public genome variation databases; and expert consensus opinion. The system is designed to be dynamic in nature, with regions being reevaluated periodically to incorporate emerging evidence. The evidence collected will be displayed within a publically available database, and can be used in part to inform clinical laboratory CNV interpretations as well as to guide array design.

Indexed as

Evidence-Based MedicineDNA Copy Number VariationsGene DosageGenome, HumanHumansPhenotype

Identifiers

PMID22097934
PMCPMC5008023

What OpenQuestion holds

Textmetadata
LicenceTDM
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.