Evidence map›Paper›PMID 16627870›Full record

ArticleNucleic acids research2006

Analysis of pooled DNA samples on high density arrays without prior knowledge of differential hybridization rates.

Stuart Macgregor, Peter M Visscher, Grant Montgomery

Abstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Trial
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  8. Genome-wide association study for ovarian cancer susceptibility using pooled DNA.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2012
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  15. A genomewide association study of nicotine and alcohol dependence in Australian and Dutch populations.Twin research and human genetics : the official journal of the International Society for Twin Studies · 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

3 authors.

Stuart MacgregorGenetic Epidemiology, Queensland Institute of Medical Research, Brisbane, Australia. stuart.macgregor@qimr.edu.au
Peter M Visscher
Grant Montgomery

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Array based DNA pooling techniques facilitate genome-wide scale genotyping of large samples. We describe a structured analysis method for pooled data using internal replication information in large scale genotyping sets. The method takes advantage of information from single nucleotide polymorphisms (SNPs) typed in parallel on a high density array to construct a test statistic with desirable statistical properties. We utilize a general linear model to appropriately account for the structured multiple measurements available with array data. The method does not require the use of additional arrays for the estimation of unequal hybridization rates and hence scales readily to accommodate arrays with several hundred thousand SNPs. Tests for differences between cases and controls can be conducted with very few arrays. We demonstrate the method on 384 endometriosis cases and controls, typed using Affymetrix Genechip(c) HindIII 50 K arrays. For a subset of this data there were accurate measures of hybridization rates available. Assuming equal hybridization rates is shown to have a negligible effect upon the results. With a total of only six arrays, the method extracted one-third of the information (in terms of equivalent sample size) available with individual genotyping (requiring 768 arrays). With 20 arrays (10 for cases, 10 for controls), over half of the information could be extracted from this sample.

Indexed as

Gene FrequencyPolymorphism, Single NucleotideCase-Control StudiesDNAEndometriosisFemaleGenomicsGenotypeHumansLinear ModelsOligonucleotide Array Sequence AnalysisDNA

Identifiers

PMID16627870
PMCPMC1440945

What OpenQuestion holds

Textmetadata
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.