A curated catalogue of human genomic structural variation




Variant Details

Variant: essv9505



Internal ID9631646
Landmark
Location Information
TypeCoordinatesAssemblyOther Links
Innerchr15:84543757..84559822hg38UCSC Ensembl
Outerchr15:84543757..84559840hg38UCSC Ensembl
Innerchr15:85086988..85103053hg19UCSC Ensembl
Outerchr15:85086988..85103071hg19UCSC Ensembl
Innerchr15:82887992..82904057hg18UCSC Ensembl
Outerchr15:82887992..82904075hg18UCSC Ensembl
Innerchr15:82887992..82904057hg17UCSC Ensembl
Outerchr15:82887992..82904075hg17UCSC Ensembl
Cytoband15q25.2
Allele length
AssemblyAllele length
hg3816084
hg1916084
hg1816084
hg1716084
Variant TypeCNV gain
Copy Number
Allele State
Allele Origin
Probe Count
Validation Flag
Merged StatusS
Merged Variantsesv2757609
Supporting Variants
SamplesNA18521
Known GenesUBE2Q2P1
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)essv9505
Frequency
Sample Size270
Observed Gain1
Observed Loss0
Observed Complex0
Frequencyn/a


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