Evidence map›Paper›PMID 17341461›Full record

ArticleNucleic acids research2007

QuantiSNP: an Objective Bayes Hidden-Markov Model to detect and accurately map copy number variation using SNP genotyping data.

Stefano Colella, Christopher Yau, Jennifer M Taylor, Ghazala Mirza, Helen Butler, Penny Clouston, Anne S Bassett, Anneke Seller, Christopher C Holmes, Jiannis Ragoussis

Abstract readValidation Study
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 380 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
380citing papers in PubMed, 5 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

380 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Copy Number Variants in Alzheimer's Disease.Journal of Alzheimer's disease : JAD · 2017
    Pooled it
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  10. Article
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  12. Review
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  18. Copy Number Variant Duplications Associated with Essential Tremor.Tremor and other hyperkinetic movements (New York, N.Y.) · 2026
    Article
  19. Generation of Donor-Specific iPSC for Modelling Lysosomal Storage Disorders.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  20. Review

320 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

10 authors.

Stefano ColellaGenomics Laboratory, Wellcome Trust Centre for Human Genetics, Oxford, UK.
Christopher Yau
Jennifer M Taylor
Ghazala Mirza
Helen Butler
Penny Clouston
Anne S Bassett
Anneke Seller
Christopher C Holmes
Jiannis Ragoussis

Funding

Medical Research Council G0500115Wellcome TrustWellcome Trust 075491/Z/04/Z
6 · The paper itself

Abstract

Array-based technologies have been used to detect chromosomal copy number changes (aneuploidies) in the human genome. Recent studies identified numerous copy number variants (CNV) and some are common polymorphisms that may contribute to disease susceptibility. We developed, and experimentally validated, a novel computational framework (QuantiSNP) for detecting regions of copy number variation from BeadArray SNP genotyping data using an Objective Bayes Hidden-Markov Model (OB-HMM). Objective Bayes measures are used to set certain hyperparameters in the priors using a novel re-sampling framework to calibrate the model to a fixed Type I (false positive) error rate. Other parameters are set via maximum marginal likelihood to prior training data of known structure. QuantiSNP provides probabilistic quantification of state classifications and significantly improves the accuracy of segmental aneuploidy identification and mapping, relative to existing analytical tools (Beadstudio, Illumina), as demonstrated by validation of breakpoint boundaries. QuantiSNP identified both novel and validated CNVs. QuantiSNP was developed using BeadArray SNP data but it can be adapted to other platforms and we believe that the OB-HMM framework has widespread applicability in genomic research. In conclusion, QuantiSNP is a novel algorithm for high-resolution CNV/aneuploidy detection with application to clinical genetics, cancer and disease association studies.

Indexed as

AlgorithmsAneuploidyPolymorphism, Single NucleotideBayes TheoremChromosome BreakageChromosome MappingComputational BiologyGenome, HumanGenomicsGenotypeHumansLoss of HeterozygosityMarkov ChainsModels, Statistical

Identifiers

PMID17341461
PMCPMC1874617

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Registered trials

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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.