A curated catalogue of human genomic structural variation




Variant Details

Variant: essv9491



Internal ID9975968
Landmark
Location Information
TypeCoordinatesAssemblyOther Links
Innerchr9:30265838..30351288hg38UCSC Ensembl
Outerchr9:30255387..30389495hg38UCSC Ensembl
Innerchr9:30265836..30351286hg19UCSC Ensembl
Outerchr9:30255385..30389493hg19UCSC Ensembl
Innerchr9:30255836..30341286hg18UCSC Ensembl
Outerchr9:30245385..30379493hg18UCSC Ensembl
Innerchr9:30255836..30341286hg17UCSC Ensembl
Outerchr9:30245385..30379493hg17UCSC Ensembl
Cytoband9p21.1
Allele length
AssemblyAllele length
hg38134109
hg19134109
hg18134109
hg17134109
Variant TypeCNV gain
Copy Number
Allele State
Allele Origin
Probe Count
Validation Flag
Merged StatusS
Merged Variantsesv2757332
Supporting Variants
SamplesNA19154
Known GenesLOC401497
MethodSNP array
AnalysisThe algorithm used to call CNVs using the 500K EA platform was developed to accurately define CNV regions using a large set of reference samples and is described in detail in a separate publication (Komura 2006). The algorithm contains three major parts: 1) Intensity pre-processing using an improved version of Genomic Imbalance Map (GIM) (Ishikawa et al. 2005), including probe selection, noise reduction, normalization, and intensity ratio adjustment based on affinity differences between alleles of a SNP, 2) CNV extraction, which identifies CNVs from all pair-wise comparisons using a modified SW-ARRAY, and 3) A copy number inference step which utilizes signal ratios and SNP information to more precisely define CNV boundaries and the copy number within each region.
PlatformAffymetrix GeneChip Early Access Mapping 500K Set Array (250K_Nsp_SNP)
Comments
ReferenceRedon_et_al_2006
Pubmed ID17122850
Accession Number(s)essv9491
Frequency
Sample Size270
Observed Gain1
Observed Loss0
Observed Complex0
Frequencyn/a


Hosted by The Centre for Applied Genomics
Grant support for DGV
Please read the usage disclaimer