Evidence map›Paper›PMID 29304372›Full record

ArticleAmerican journal of human genetics2018

A Comprehensive Workflow for Read Depth-Based Identification of Copy-Number Variation from Whole-Genome Sequence Data.

Brett Trost, Susan Walker, Zhuozhi Wang, Bhooma Thiruvahindrapuram, Jeffrey R MacDonald, Wilson W L Sung, Sergio L Pereira, Joe Whitney, Ada J S Chan, Giovanna Pellecchia and 6 more

Abstract read
In one paragraph

Article in American journal of human genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers.

0numbers the graph read from it
0cells of the map it votes in
110citing 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

110 citing papers in PubMed.

  1. Article
  2. Review
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  4. Article
  5. Article
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  8. Article
  9. Copy number loss Of APP cause thoracic aortic dissection.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Article
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  15. Article
  16. Article
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  18. Review
  19. Article
  20. Article

50 more citing papers are in PubMed but not listed here.

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

16 authors.

Brett TrostThe Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.
Susan WalkerThe Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.
Zhuozhi WangThe Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.
Bhooma ThiruvahindrapuramThe Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.
Jeffrey R MacDonaldThe Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.
Wilson W L SungThe Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.
Sergio L PereiraThe Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.
Joe WhitneyThe Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.
Ada J S ChanThe Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada.
Giovanna PellecchiaThe Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.
Miriam S ReuterThe Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.
Si LokThe Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.
Ryan K C YuenThe Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.
Christian R MarshallThe Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Genome Diagnostics, Department of Paediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada.
Daniele MericoThe Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Deep Genomics Inc., Toronto, ON M5G 1L7, Canada.
Stephen W SchererThe Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; McLaughlin Centre, University of Toronto, Toronto, ON M5G 0A4, Canada. Electronic address: stephen.scherer@sickkids.ca.

Funding

CIHR FDN-143295
6 · The paper itself

Abstract

A remaining hurdle to whole-genome sequencing (WGS) becoming a first-tier genetic test has been accurate detection of copy-number variations (CNVs). Here, we used several datasets to empirically develop a detailed workflow for identifying germline CNVs >1 kb from short-read WGS data using read depth-based algorithms. Our workflow is comprehensive in that it addresses all stages of the CNV-detection process, including DNA library preparation, sequencing, quality control, reference mapping, and computational CNV identification. We used our workflow to detect rare, genic CNVs in individuals with autism spectrum disorder (ASD), and 120/120 such CNVs tested using orthogonal methods were successfully confirmed. We also identified 71 putative genic de novo CNVs in this cohort, which had a confirmation rate of 70%; the remainder were incorrectly identified as de novo due to false positives in the proband (7%) or parental false negatives (23%). In individuals with an ASD diagnosis in which both microarray and WGS experiments were performed, our workflow detected all clinically relevant CNVs identified by microarrays, as well as additional potentially pathogenic CNVs < 20 kb. Thus, CNVs of clinical relevance can be discovered from WGS with a detection rate exceeding microarrays, positioning WGS as a single assay for genetic variation detection.

Indexed as

Whole Genome SequencingWorkflowAlgorithmsChildDNA Copy Number VariationsFemaleHaplotypesHumansMaleReproducibility of ResultsSequence Analysis, DNACNVcopy-number variationread depthstructural variationSVvariation detectionWGSwhole-genome sequencing

Identifiers

PMID29304372
PMCPMC5777982

What OpenQuestion holds

Textmetadata
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.