A curated catalogue of human genomic structural variation




Variant Details

Variant: essv9266



Internal ID9631380
Landmark
Location Information
TypeCoordinatesAssemblyOther Links
Innerchr5:172663880..172729059hg38UCSC Ensembl
Outerchr5:172656276..172788409hg38UCSC Ensembl
Innerchr5:172090883..172156062hg19UCSC Ensembl
Outerchr5:172083279..172215412hg19UCSC Ensembl
Innerchr5:172023488..172088667hg18UCSC Ensembl
Outerchr5:172015884..172148018hg18UCSC Ensembl
Innerchr5:172023488..172088667hg17UCSC Ensembl
Outerchr5:172015884..172148018hg17UCSC Ensembl
Cytoband5q35.1
Allele length
AssemblyAllele length
hg38132134
hg19132134
hg18132135
hg17132135
Variant TypeCNV gain
Copy Number
Allele State
Allele Origin
Probe Count
Validation Flag
Merged StatusS
Merged Variantsesv2757145
Supporting Variants
SamplesNA19137
Known GenesDUSP1, NEURL1B
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)essv9266
Frequency
Sample Size270
Observed Gain1
Observed Loss0
Observed Complex0
Frequencyn/a


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