Evidence map›Paper›PMID 18786630›Full record

ArticleGenomics2008

High fidelity of whole-genome amplified DNA on high-density single nucleotide polymorphism arrays.

Jinchuan Xing, W Scott Watkins, Yuhua Zhang, David J Witherspoon, Lynn B Jorde

Abstract readEvaluation Study
In one paragraph

Article in Genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

5 authors.

Jinchuan XingDepartment of Human Genetics, Eccles Institute of Human Genetics, University of Utah, Salt Lake City, UT, 84112, USA.
W Scott Watkins
Yuhua Zhang
David J Witherspoon
Lynn B Jorde

Funding

POPULATION GENETICS OF MOBILE ELEMENTSR01GM059290 · NIGMS · UNIVERSITY OF UTAH · PI BATZER, MARK A, FESCHOTTE, CEDRIC · 1999 to 2018
$8.5M
The Angiotensinogen Gene and Human HypertensionR01HL070048 · NHLBI · UNIVERSITY OF UTAH · PI JORDE, LYNN · 2003 to 2006
$1.3M
NHLBI NIH HHS HL-070048NHLBI NIH HHS R01 HL070048NIGMS NIH HHS GM-59290NIGMS NIH HHS R01 GM059290
6 · The paper itself

Abstract

Current microarray technology allows researchers to genotype a large number of SNPs with relatively small amounts of DNA. Nevertheless, researchers and clinicians still frequently face the problem of acquiring enough high-quality DNA for analysis. Whole-genome amplification (WGA) methods offer a solution for this problem, and earlier studies have shown that WGA samples perform reasonably well in small-scale genetic analyses (e.g. Affymetrix 10K array). To determine the performance of WGA products on a large-scale genotyping array, we compared the Affymetrix 250K array genotyping results of genomic DNA and their WGA products from four individuals. Our results indicate that WGA product performs well on the 250K array compared to genomic DNA, especially when using the BRLMM calling algorithm. WGA samples have high call rates (97.5% on average, compared to 99.4% for genomic DNA) and excellent concordance rates with their corresponding genomic DNA samples (98.7% on average). In addition, no apparent systematic genomic amplification bias can be detected. This study demonstrates that, although there is a slight decrease in the total call rates, WGA methods provide a reliable approach for increasing the amount of DNA samples for use with a common SNP genotyping array.

Indexed as

Genome, HumanPolymorphism, Single NucleotideGenotypeHumansNucleic Acid Amplification TechniquesOligonucleotide Array Sequence AnalysisSample SizeSequence Analysis, DNA

Identifiers

PMID18786630
PMCPMC2659594

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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.