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Nucleic Acids Research
Article . 2006 . Peer-reviewed
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Nucleic Acids Research
Article
License: CC BY NC
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Article . 2006
Data sources: PubMed Central
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Genotyping and annotation of Affymetrix SNP arrays

Authors: Lamy, Philippe; Andersen, Claus Lindbjerg; id_orcid 0000-0002-7406-2103; Wikman, Friedrik; Wiuf, Carsten;

Genotyping and annotation of Affymetrix SNP arrays

Abstract

In this paper we develop a new method for genotyping Affymetrix single nucleotide polymorphism (SNP) array. The method is based on (i) using multiple arrays at the same time to determine the genotypes and (ii) a model that relates intensities of individual SNPs to each other. The latter point allows us to annotate SNPs that have poor performance, either because of poor experimental conditions or because for one of the alleles the probes do not behave in a dose-response manner. Generally, our method agrees well with a method developed by Affymetrix. When both methods make a call they agree in 99.25% (using standard settings) of the cases, using a sample of 113 Affymetrix 10k SNP arrays. In the majority of cases where the two methods disagree, our method makes a genotype call, whereas the method by Affymetrix makes a no call, i.e. the genotype of the SNP is not determined. By visualization it is indicated that our method is likely to be correct in majority of these cases. In addition, we demonstrate that our method produces more SNPs that are in concordance with Hardy-Weinberg equilibrium than the method by Affymetrix. Finally, we have validated our method on HapMap data and shown that the performance of our method is comparable to other methods.

Related Organizations
Keywords

Male, Chromosomes, Human, X, Genotype, Reproducibility of Results, Polymorphism, Single Nucleotide, Methods Online, Humans, Female, Algorithms, Alleles, Oligonucleotide Array Sequence Analysis

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Top 10%
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