High-resolution genomic profiling of chromosomal aberrations using Infinium whole-genome genotyping (original) (raw)
- Daniel A. Peiffer1,
- Jennie M. Le1,
- Frank J. Steemers1,
- Weihua Chang1,
- Tony Jenniges1,
- Francisco Garcia1,
- Kirt Haden1,
- Jiangzhen Li2,
- Chad A. Shaw2,
- John Belmont2,
- Sau Wai Cheung2,
- Richard M. Shen1,
- David L. Barker1, and
- Kevin L. Gunderson1,3
- 1Illumina, Inc., San Diego, California 92121, USA;
- 2Baylor College of Medicine, Houston, Texas 77030, USA;
Abstract
Array-CGH is a powerful tool for the detection of chromosomal aberrations. The introduction of high-density SNP genotyping technology to genomic profiling, termed SNP-CGH, represents a further advance, since simultaneous measurement of both signal intensity variations and changes in allelic composition makes it possible to detect both copy number changes and copy-neutral loss-of-heterozygosity (LOH) events. We demonstrate the utility of SNP-CGH with two Infinium whole-genome genotyping BeadChips, assaying 109,000 and 317,000 SNP loci, to detect chromosomal aberrations in samples bearing constitutional aberrations as well tumor samples at sub-100 kb effective resolution. Detected aberrations include homozygous deletions, hemizygous deletions, copy-neutral LOH, duplications, and amplifications. The statistical ability to detect common aberrations was modeled by analysis of an X chromosome titration model system, and sensitivity was modeled by titration of gDNA from a tumor cell with that of its paired normal cell line. Analysis was facilitated by using a genome browser that plots log ratios of normalized intensities and allelic ratios along the chromosomes. We developed two modes of SNP-CGH analysis, a single sample and a paired sample mode. The single sample mode computes log intensity ratios and allelic ratios by referencing to canonical genotype clusters generated from ∼120 reference samples, whereas the paired sample mode uses a paired normal reference sample from the same individual. Finally, the two analysis modes are compared and contrasted for their utility in analyzing different types of input gDNA: low input amounts, fragmented gDNA, and Phi29 whole-genome pre-amplified DNA.
Footnotes
↵3 Corresponding author.
E-mail kgunderson{at}illumina.com; fax (858) 202-4680.
Supplemental material is available online at http://www.genome.org.
Article published online before print. Article and publication date are at http://www.genome.org/cgi/doi/10.1101/gr.5402306. Freely available online through the Genome Research Open Access option.
Freely available online through the Genome Research Open Access option.
Copyright © 2006, Cold Spring Harbor Laboratory Press