A curated catalogue of human genomic structural variation




Variant Details

Variant: essv5777



Internal ID9627503
Landmark
Location Information
TypeCoordinatesAssemblyOther Links
Innerchr5:119314788..119324805hg38UCSC Ensembl
Outerchr5:119220168..119332053hg38UCSC Ensembl
Innerchr5:118650483..118660500hg19UCSC Ensembl
Outerchr5:118555863..118667748hg19UCSC Ensembl
Innerchr5:118678382..118688399hg18UCSC Ensembl
Outerchr5:118583762..118695647hg18UCSC Ensembl
Innerchr5:118678382..118688399hg17UCSC Ensembl
Outerchr5:118583762..118695647hg17UCSC Ensembl
Cytoband5q23.1
Allele length
AssemblyAllele length
hg38111886
hg19111886
hg18111886
hg17111886
Variant TypeCNV loss
Copy Number
Allele State
Allele Origin
Probe Count
Validation Flag
Merged StatusS
Merged Variantsesv2757136
Supporting Variants
SamplesNA18540
Known GenesDMXL1, TNFAIP8
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)essv5777
Frequency
Sample Size270
Observed Gain0
Observed Loss1
Observed Complex0
Frequencyn/a


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