A curated catalogue of human genomic structural variation




Variant Details

Variant: essv21093



Internal ID9955685
Landmark
Location Information
TypeCoordinatesAssemblyOther Links
Innerchr5:105111698..105192370hg38UCSC Ensembl
Outerchr5:105088596..105192424hg38UCSC Ensembl
Innerchr5:104447399..104528071hg19UCSC Ensembl
Outerchr5:104424297..104528125hg19UCSC Ensembl
Innerchr5:104475298..104555970hg18UCSC Ensembl
Outerchr5:104452196..104556024hg18UCSC Ensembl
Innerchr5:104475298..104555970hg17UCSC Ensembl
Outerchr5:104452196..104556024hg17UCSC Ensembl
Cytoband5q21.2
Allele length
AssemblyAllele length
hg38103829
hg19103829
hg18103829
hg17103829
Variant TypeCNV loss
Copy Number
Allele State
Allele Origin
Probe Count
Validation Flag
Merged StatusS
Merged Variantsesv2757129
Supporting Variants
SamplesNA10854
Known GenesRAB9BP1
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)essv21093
Frequency
Sample Size270
Observed Gain0
Observed Loss1
Observed Complex0
Frequencyn/a


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