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An algorithm for detecting high frequency copy number polymorphisms using SNP arrays.
- 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.
- Subjects :
- Alleles
Base Pairing
Cluster Analysis
Fluorescent Dyes analysis
Gene Frequency
Genome, Human
Genome-Wide Association Study
Genotype
Humans
Iceland
Markov Chains
Microsatellite Repeats
Normal Distribution
Oligonucleotide Array Sequence Analysis instrumentation
Algorithms
Computational Biology methods
DNA Copy Number Variations
Oligonucleotide Array Sequence Analysis methods
Polymorphism, Single Nucleotide
Subjects
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