Literature DB >> 22307717

Genotype calling for the Affymetrix platform.

Arne Schillert1, Andreas Ziegler.   

Abstract

The analysis of high-throughput genotyping data in genome-wide association (GWA) studies has become a standard approach in genetic epidemiology. Data of high quality are crucial for the success of these studies. The first step in the statistical analysis is the generation of genotypes from signal intensities, and several approaches have been proposed for obtaining as accurate genotypes as possible. For the Affymetrix Genome-Wide Human SNP Array 6.0, the genotype calling algorithms Birdseed and CRLMM are commonly used in applications. After a brief description of the statistical methods for both algorithms, their usage is described in detail. Links are provided to the software and to sample code for the installation and execution of the algorithms. Additionally, a suggestion for processing the result files is made.

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Mesh:

Year:  2012        PMID: 22307717     DOI: 10.1007/978-1-61779-555-8_28

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Investigation of genetic risk factors for chronic adult diseases for association with preterm birth.

Authors:  Nadia Falah; Jude McElroy; Victoria Snegovskikh; Charles J Lockwood; Errol Norwitz; Jeffey C Murray; Edward Kuczynski; Ramkumar Menon; Kari Teramo; Louis J Muglia; Thomas Morgan
Journal:  Hum Genet       Date:  2012-09-13       Impact factor: 4.132

Review 2.  Use of single nucleotide polymorphism array technology to improve the identification of chromosomal lesions in leukemia.

Authors:  Ilaria Iacobucci; Annalisa Lonetti; Cristina Papayannidis; Giovanni Martinelli
Journal:  Curr Cancer Drug Targets       Date:  2013-09       Impact factor: 3.428

  2 in total

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