GenetiSure Cancer and Postnatal Arrays
Whether you are studying cancer or performing postnatal research, Agilent has the CGH+SNP design for a successful experiment. The GenetiSure Cancer Research CGH+SNP microarray is designed to target cancer regions of the genome sourced from the COSMIC and CGC databases. Loss of heterozygosity (LOH) detection, with a resolution validated to 2.5 Mb, ensures that important aberrations are not missed. While the GenetiSure postnatal research array allows simultaneous detection of copy number changes and copy neutral aberrations down to 2.5 Mb. Through the inclusion of exon-centric probes, the detection of aberrations associated with intellectual disability and congenital anomalies is maximized.
For Research Use Only. Not for use in diagnostic procedures.
Product Details
Features
- The system contains ~300,000 CGH probes and ~103,000 SNP probes
- The median CGH probe spacing is approximately 9.8 KB overall
- Designed so 89% of an exon is covered with three or more probes
- Genes may be added or removed to further customize the microarray
- Powerful loss of heterozygosity (LOH) detection identifies all important aberrations and has a resolution validated down to 2.5 Mb
- Single exon copy number detection for a clearer workflow.
- Probes are annotated against NCBI Build 38 (UCSC GRCh38, Dec. 2013)
- Cancer array - Covers disease-associated regions recommended by COSMIC and Cancer Genetics Consortium (CGC) databases
- Postnatal array - Covers disease-associated regions recommended by ClinGen/ISCA databases
Featured References
- Publications
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- Pinto D et al. Comprehensive assessment of array-based platforms and calling algorithms for detection of copy number variants. Nat Biotechnol. 2011 May 8;29(6):512-20. doi: 10.1038/nbt.1852 [Application: General] Learn More
- Alesi V et al. Easychip 8x15k: A New Tool for Detecting Chromosome Anomalies in Low Risk Pregnancies, Supporting and Integrating Standard Karyotype J Genet Syndr Gene Ther 7: 277. doi:10.4172/2157-7412.1000277 [Application: Prenatal] Learn More
- Chau MHK et al. Characteristics and mode of inheritance of pathogenic copy number variants in prenatal diagnosis. Am J Obstet Gynecol. 2019 Nov;221(5):493.e1-493.e11. doi: 10.1016/j.ajog.2019.06.007. Epub 2019 Jun 14. [Application: Prenatal] Learn More
- Ribeiro et al. Upper aerodigestive tract carcinoma: Development of a (epi)genomic predictive model for recurrence and metastasis. Oncol Lett. 2020 May;19(5):3459-3468. doi: 10.3892/ol.2020.11459. Epub 2020 Mar 12 [Application: Cancer] Learn More
- Kaur et al. Clinical impact of chromothriptic complex chromosomal rearrangements in newly diagnosed multiple myeloma. Leuk Res. 2019 Jan;76:58-64. doi: 10.1016/j.leukres.2018.12.005 [Application: Cancer] Learn More
