Evidence map›Paper›PMID 18373861›Full record

ArticleBMC genetics2008

Improved detection of global copy number variation using high density, non-polymorphic oligonucleotide probes.

Fan Shen, Jing Huang, Karen R Fitch, Vivi B Truong, Andrew Kirby, Wenwei Chen, Jane Zhang, Guoying Liu, Steven A McCarroll, Keith W Jones and 1 more

Abstract read
In one paragraph

Article in BMC genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Progress in Methods for Copy Number Variation Profiling.International journal of molecular sciences · 2022
    Review
  2. Article
  3. Review
  4. High-resolution human genome structure by single-molecule analysis.Proceedings of the National Academy of Sciences of the United States of America · 2010
    Article
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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

11 authors.

Fan ShenAffymetrix, Inc, 3420 Central Expressway; Santa Clara, CA 95051, USA. fan_shen@affymetrix.com
Jing Huang
Karen R Fitch
Vivi B Truong
Andrew Kirby
Wenwei Chen
Jane Zhang
Guoying Liu
Steven A McCarroll
Keith W Jones
Michael H Shapero

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA sequence diversity within the human genome may be more greatly affected by copy number variations (CNVs) than single nucleotide polymorphisms (SNPs). Although the importance of CNVs in genome wide association studies (GWAS) is becoming widely accepted, the optimal methods for identifying these variants are still under evaluation. We have previously reported a comprehensive view of CNVs in the HapMap DNA collection using high density 500 K EA (Early Access) SNP genotyping arrays which revealed greater than 1,000 CNVs ranging in size from 1 kb to over 3 Mb. Although the arrays used most commonly for GWAS predominantly interrogate SNPs, CNV identification and detection does not necessarily require the use of DNA probes centered on polymorphic nucleotides and may even be hindered by the dependence on a successful SNP genotyping assay.

resultsIn this study, we have designed and evaluated a high density array predicated on the use of non-polymorphic oligonucleotide probes for CNV detection. This approach effectively uncouples copy number detection from SNP genotyping and thus has the potential to significantly improve probe coverage for genome-wide CNV identification. This array, in conjunction with PCR-based, complexity-reduced DNA target, queries over 1.3 M independent NspI restriction enzyme fragments in the 200 bp to 1100 bp size range, which is a several fold increase in marker density as compared to the 500 K EA array. In addition, a novel algorithm was developed and validated to extract CNV regions and boundaries.

conclusionUsing a well-characterized pair of DNA samples, close to 200 CNVs were identified, of which nearly 50% appear novel yet were independently validated using quantitative PCR. The results indicate that non-polymorphic probes provide a robust approach for CNV identification, and the increasing precision of CNV boundary delineation should allow a more complete analysis of their genomic organization.

Indexed as

Gene DosageOligonucleotide Array Sequence AnalysisOligonucleotide ProbesGenetic VariationGenome, HumanHumansPolymerase Chain ReactionPolymorphism, Single NucleotideOligonucleotide Probes

Identifiers

PMID18373861
PMCPMC2374799

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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.