Evidence map›Paper›PMID 25503493›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2015

A high-resolution copy-number variation resource for clinical and population genetics.

Mohammed Uddin, Bhooma Thiruvahindrapuram, Susan Walker, Zhuozhi Wang, Pingzhao Hu, Sylvia Lamoureux, John Wei, Jeffrey R MacDonald, Giovanna Pellecchia, Chao Lu and 12 more

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  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

22 authors.

Mohammed UddinThe Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.
Bhooma ThiruvahindrapuramThe Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.
Susan WalkerThe Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.
Zhuozhi WangThe Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-5169-5266
Pingzhao HuThe Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.
Sylvia LamoureuxThe Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.
John WeiThe Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0001-5447-1682
Jeffrey R MacDonaldThe Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0001-5058-2393
Giovanna PellecchiaThe Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-4747-3473
Chao LuThe Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-1189-3265
Anath C LionelThe Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.
Matthew J GazzelloneThe Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.
John R McLaughlinDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0001-6453-7577
Catherine BrownPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Irene L AndrulisLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.
Julia A KnightDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Jo-Anne HerbrickThe Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.
Richard F WintleThe Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-1987-1095
Peter RayThe Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.
Dimitri J StavropoulosDivision of Molecular Genetics, Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada.
Christian R MarshallThe Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.
Stephen W SchererThe Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.

Funding

Breast Cancer Family Registry CohortUM1CA164920 · NCI · CANCER PREVENTION INSTIT OF CALIFORNIA · PI ANDRULIS, IRENE, BUYS, SAUNDRA S · 2012 to 2017
$12.7M
ONTARIO REGISTRY FOR STUDIES OF FAMILIAL COLON CANCERU01CA074783 · NCI · CANCER CARE ONTARIO · PI GALLINGER, STEVEN · 1997 to 2008
$12.5M
Colon Cancer Family Registry CohortUM1CA167551 · NCI · STANFORD UNIVERSITY · PI HAILE, ROBERT WILLIAM, JENKINS, MARK A · 2013 to 2017
$11.3M
The Colon Cancer Family Registry: OntarioU24CA074783 · NCI · CANCER CARE ONTARIO · PI GALLINGER, STEVEN · 2008 to 2011
$4.1M
NCI NIH HHS U01 CA074783NCI NIH HHS U01/U24 CA074783NCI NIH HHS U24 CA074783NCI NIH HHS UM1 CA164920NCI NIH HHS UM1 CA167551
6 · The paper itself

Abstract

purposeChromosomal microarray analysis to assess copy-number variation has become a first-tier genetic diagnostic test for individuals with unexplained neurodevelopmental disorders or multiple congenital anomalies. More than 100 cytogenetic laboratories worldwide use the new ultra-high resolution Affymetrix CytoScan-HD array to genotype hundreds of thousands of samples per year. Our aim was to develop a copy-number variation resource from a new population sample that would enable more accurate interpretation of clinical genetics data on this microarray platform and others.

methodsGenotyping of 1,000 adult volunteers who are broadly representative of the Ontario population (as obtained from the Ontario Population Genomics Platform) was performed with the CytoScan-HD microarray system, which has 2.7 million probes. Four independent algorithms were applied to detect copy-number variations. Reproducibility and validation metrics were quantified using sample replicates and quantitative-polymerase chain reaction, respectively.

resultsDNA from 873 individuals passed quality control and we identified 71,178 copy-number variations (81 copy-number variations/individual); 9.8% (6,984) of these copy-number variations were previously unreported. After applying three layers of filtering criteria, from our highest confidence copy-number variation data set we obtained >95% reproducibility and >90% validation rates (73% of these copy-number variations overlapped at least one gene).

conclusionThe genotype data and annotated copy-number variations for this largely Caucasian population will represent a valuable public resource enabling clinical genetics research and diagnostics.

Indexed as

Databases, GeneticDNA Copy Number VariationsAlgorithmsChromosomesCongenital AbnormalitiesData CurationFemaleGenetics, PopulationGenotypeHumansMaleMiddle AgedNeurodevelopmental DisordersOligonucleotide Array Sequence AnalysisReproducibility of Results

Identifiers

PMID25503493
PMCPMC4752593

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.