Evidence map›Paper›PMID 27605193›Full record

ArticleMicroarrays (Basel, Switzerland)2013

Copy Number Studies in Noisy Samples.

Philip Ginsbach, Bowang Chen, Yanxiang Jiang, Stefan T Engelter, Caspar Grond-Ginsbach

Open access · goldAbstract read
In one paragraph

Article in Microarrays (Basel, Switzerland), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact, top 91% of its field
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

8 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Philip GinsbachNeurology Department, University of Heidelberg, INF 400, Heidelberg D69120, Germany. Philip.Ginsbach@t-online.de.
Bowang ChenDivision of Molecular Genetic Epidemiology, German Cancer Research Center, INF 280, Heidelberg D69120, Germany. c.bowang@dkfz-heidelberg.de.
Yanxiang JiangNeurology Department, University of Heidelberg, INF 400, Heidelberg D69120, Germany. jiangyanxiang@googlemail.com.
Stefan T EngelterStroke Unit and Department of Neurology, University Hospital Basel, Petersgraben 4, Basel CH4031, Switzerland. Stefan.Engelter@usb.ch.
Caspar Grond-GinsbachNeurology Department, University of Heidelberg, INF 400, Heidelberg D69120, Germany. Caspar.Grond-Ginsbach@med.uni-heidelberg.de.
Heidelberg University · DEUniversity Hospital of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

System noise was analyzed in 77 Affymetrix 6.0 samples from a previous clinical study of copy number variation (CNV). Twenty-three samples were classified as eligible for CNV detection, 29 samples as ineligible and 25 were classified as being of intermediate quality. New software ("noise-free-cnv") was developed to visualize the data and reduce system noise. Fresh DNA preparations were more likely to yield eligible samples (p < 0.001). Eligible samples had higher rates of successfully genotyped SNPs (p < 0.001) and lower variance of signal intensities (p < 0.001), yielded fewer CNV findings after Birdview analysis (p < 0.001), and showed a tendency to yield fewer PennCNV calls (p = 0.053). The noise-free-cnv software visualized trend patterns of noise in the signal intensities across the ordered SNPs, including a wave pattern of noise, being co-linear with the banding pattern of metaphase chromosomes, as well as system deviations of individual probe sets (per-SNP noise). Wave noise and per-SNP noise occurred independently and could be separately removed from the samples. We recommend a two-step procedure of CNV validation, including noise reduction and visual inspection of all CNV calls, prior to molecular validation of a selected number of putative CNVs.

Indexed as

copy number variation (CNV)noise-free-cnv softwarenoise reductionper-SNP noisevalidation of CNV findingsvariancewave noise

Identifiers

PMID27605193
PMCPMC5003442
OpenAlexW2021868110

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.