A curated catalogue of human genomic structural variation




Variant Details

Variant: essv2950



Internal ID9624363
Landmark
Location Information
TypeCoordinatesAssemblyOther Links
Innerchr15:30644082..30785445hg38UCSC Ensembl
Outerchr15:30638297..30816777hg38UCSC Ensembl
Innerchr15:30936285..31077648hg19UCSC Ensembl
Outerchr15:30930500..31108980hg19UCSC Ensembl
Innerchr15:28723577..28864940hg18UCSC Ensembl
Outerchr15:28717792..28896272hg18UCSC Ensembl
Innerchr15:28723577..28864940hg17UCSC Ensembl
Outerchr15:28717792..28896272hg17UCSC Ensembl
Cytoband15q13.2
Allele length
AssemblyAllele length
hg38178481
hg19178481
hg18178481
hg17178481
Variant TypeCNV loss
Copy Number
Allele State
Allele Origin
Probe Count
Validation Flag
Merged StatusS
Merged Variantsesv2757593
Supporting Variants
SamplesNA18972
Known GenesARHGAP11B, LOC100288637
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)essv2950
Frequency
Sample Size270
Observed Gain0
Observed Loss1
Observed Complex0
Frequencyn/a


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