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An algorithm for detecting high frequency copy number polymorphisms using SNP arrays.

Authors :
Halldórsson BV
Gudbjartsson DF
Source :
Journal of computational biology : a journal of computational molecular cell biology [J Comput Biol] 2011 Aug; Vol. 18 (8), pp. 955-66. Date of Electronic Publication: 2011 Jul 05.
Publication Year :
2011

Abstract

We present a general algorithm for the detection of genomic variants using the Illumina iSelect platform. The Illumina iSelect platform is designed to detect SNPs, but our algorithm allows for the detections of more general forms of variations, including copy number polymorphisms and microsatellites. The algorithm does not rely on a priori information of the type of polymorphism being studied and is designed to genotype call a large number of individuals simultaneously. The algorithm proceeds by initially normalizing intensity and correcting for batch effects. Then each marker is clustered using a modified Gaussian mixture model where we account for variances in the expression of an individuals and the variance measured in bead level intensities of a probe/marker pair. Finally, these clusters are used to determine genotypes. The algorithm was then run on a dataset of 35,000 Icelandic individuals.

Details

Language :
English
ISSN :
1557-8666
Volume :
18
Issue :
8
Database :
MEDLINE
Journal :
Journal of computational biology : a journal of computational molecular cell biology
Publication Type :
Academic Journal
Accession number :
21728861
Full Text :
https://doi.org/10.1089/cmb.2010.0317