Evidence map›Paper›PMID 15279678›Full record

ArticleBMC biotechnology2004

Investigating the utility of combining phi29 whole genome amplification and highly multiplexed single nucleotide polymorphism BeadArray genotyping.

Rebecca Pask, Helen E Rance, Bryan J Barratt, Sarah Nutland, Deborah J Smyth, Meera Sebastian, Rebecca C J Twells, Anne Smith, Alex C Lam, Luc J Smink and 2 more

Abstract readValidation Study
In one paragraph

Article in BMC biotechnology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  5. Whole-genome amplification enables accurate genotyping for microarray-based high-density single nucleotide polymorphism array.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2008
    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

12 authors.

Rebecca PaskJuvenile Diabetes Research Foundation/Wellcome Trust Diabetes, Inflammation Laboratory, Cambridge Institute for Medical Research, University of Cambridge, Wellcome Trust/MRC Building, Cambridge, CB2 2XY, UK. rebecca.pask@cimr.cam.ac.uk
Helen E Rance
Bryan J Barratt
Sarah Nutland
Deborah J Smyth
Meera Sebastian
Rebecca C J Twells
Anne Smith
Alex C Lam
Luc J Smink
Neil M Walker
John A Todd

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundSustainable DNA resources and reliable high-throughput genotyping methods are required for large-scale, long-term genetic association studies. In the genetic dissection of common disease it is now recognised that thousands of samples and hundreds of thousands of markers, mostly single nucleotide polymorphisms (SNPs), will have to be analysed. In order to achieve these aims, both an ability to boost quantities of archived DNA and to genotype at low costs are highly desirable. We have investigated phi29 polymerase Multiple Displacement Amplification (MDA)-generated DNA product (MDA product), in combination with highly multiplexed BeadArray genotyping technology. As part of a large-scale BeadArray genotyping experiment we made a direct comparison of genotyping data generated from MDA product with that from genomic DNA (gDNA) templates.

resultsEighty-six MDA product and the corresponding 86 gDNA samples were genotyped at 345 SNPs and a concordance rate of 98.8% was achieved. The BeadArray sample exclusion rate, blind to sample type, was 10.5% for MDA product compared to 5.8% for gDNA.

conclusionsWe conclude that the BeadArray technology successfully produces high quality genotyping data from MDA product. The combination of these technologies improves the feasibility and efficiency of mapping common disease susceptibility genes despite limited stocks of gDNA samples.

Indexed as

Bacillus PhagesDNA-Directed DNA PolymeraseGenome, HumanGenotypeHLA-DR AntigensHLA-DRB1 ChainsHumansNucleic Acid Amplification TechniquesOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideTemplates, GeneticDNA-Directed DNA PolymeraseHLA-DR AntigensHLA-DRB1 Chains

Identifiers

PMID15279678
PMCPMC514612

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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.