Evidence map›Paper›PMID 21049075›Full record

ArticleTransfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie2009

Genome-wide Mapping of Copy Number Variations Using SNP Arrays.

Daniel Nowak, Wolf-Karsten Hofmann, H Phillip Koeffler

Abstract read
In one paragraph

Article in Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. The 'Whole Genome Age'Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2009
    Article
  5. Review
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

3 authors.

Daniel NowakDivision of Hematology and Oncology, Cedars Sinai Medical Center, UCLA School of Medicine, Los Angeles, USA.
Wolf-Karsten Hofmann
H Phillip Koeffler

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The availability of high-density single nucleotide polymorphism (SNP) microarrays in recent years has proven to be a great step forward in the context of global analysis of genomic abnormalities in disease. SNP arrays offer great robustness, high resolution and the possibility to detect a variety of different genomic copy number variations such as submicroscopic deletions, amplifications, loss of heterozygosity and uniparental disomy. Moreover, they can be used to perform genome wide association studies. Therefore, SNP arrays harbor several advancements over traditional molecular methods to analyze genomic aberrations, such as cytogenetic analyses, fluorescence in situ hybridization or comparative genomic hybridization methods. Until now, SNP arrays have exclusively been used in experimental research and have enabled seminal new discoveries in many fields by identifying common genomic lesions underlying specific diseases, especially cancer. However, it is foreseeable that SNP arrays will also take up a position in routine diagnostic processes in the future. This review focuses on technical principles of the SNP array technology and their utilization to detect submicroscopic genomic and polymorphic markers associated with disease.

Identifiers

PMID21049075
PMCPMC2941829

What OpenQuestion holds

Textmetadata
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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.